Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach

Article

Pham, Yen Hoang, Reardon-Smith, Kathryn and Deo, Ravinesh C.. 2021. "Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach." Journal of Environmental Management. 292. https://doi.org/10.1016/j.jenvman.2021.112790

Article Title	Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach
ERA Journal ID	5850
Article Category	Article
Authors	Pham, Yen Hoang (Author), Reardon-Smith, Kathryn (Author) and Deo, Ravinesh C. (Author)
Journal Title	Journal of Environmental Management
Journal Citation	292
Article Number	112790
Number of Pages	12
Year	2021
Publisher	Elsevier
Place of Publication	United Kingdom
ISSN	0301-4797
	1093-0191
	1095-8630
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.jenvman.2021.112790
Web Address (URL)	https://www.sciencedirect.com/science/article/pii/S0301479721008525
Abstract	The increasing frequency and severity of drought pose significant threats to sustainable agricultural production across the world. Managing drought risks is challenging given the complexity of the interdependencies and feedback between climate drivers and socio-economic and ecological systems. To better understand the dynamics that drive the impacts of drought and water scarcity on crop production, a system dynamics model has been developed to explore complex interactions between factors in associated with drought and agricultural production, and examine how these might impact agricultural sustainability, using a case study in a coffee production system in Viet Nam. The model shows that water- and land-use drivers and their interactions with ecological and socio-economic factors play a more significant role than drought in determining the sustainability of coffee production. Results of policy scenario analyses indicate that drought conditions might exacerbate problems related to water shortages for irrigation but their impacts could be substantially minimized through applying intervention strategies, including restriction of the total area of land available for coffee production (to ~ 190,000 ha) and a 25% reduction in the irrigation amount per hectare of coffee compared to the common practices. Overall, the model findings add significant insight into drought and water resources management for sustainable crop production and the developed model can serve as a decision-support tool to inform strategic policy-making.
Keywords	agricultural production; water management; land use; drought; water scarcity; systems thinking
Contains Sensitive Content	Does not contain sensitive content
ANZSRC Field of Research 2020	410406. Natural resource management
	300207. Agricultural systems analysis and modelling
	300205. Agricultural production systems simulation
	410404. Environmental management
	410199. Climate change impacts and adaptation not elsewhere classified
	300203. Agricultural land planning
	300202. Agricultural land management
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	Faculty of Health, Engineering and Sciences
	Centre for Applied Climate Sciences
	School of Sciences
Institution of Origin	University of Southern Queensland

Permalink -

https://research.usq.edu.au/item/q65v5/evaluating-management-strategies-for-sustainable-crop-production-under-changing-climate-conditions-a-system-dynamics-approach

173
total views
6
total downloads
3
views this month
0
downloads this month

Export as

Related outputs

Comparison of machine learning methods emulating process driven crop models

Johnston, David B., Pembleton, Keith G., Huth, Neil I. and Deo, Ravinesh C.. 2023. "Comparison of machine learning methods emulating process driven crop models ." Environmental Modelling and Software. 162. https://doi.org/10.1016/j.envsoft.2023.105634

Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach

Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2023. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors. 23 (5), pp. 1-11. https://doi.org/10.3390/s23052753

Near real-time wind speed forecast model with bidirectional LSTM networks

Joseph, Lionel P., Deo, Ravinesh C., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin and Soar, Jeffrey. 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks." Renewable Energy. 204, pp. 39-58. https://doi.org/10.1016/j.renene.2022.12.123

Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression

Deo, Ravinesh C., Ahmed, A.A. Masrur, Casillas-Perez, David, Pourmousavi, S. Ali, Segal, Gary, Yu, Yanshan and Salcedo-sanz, Sancho. 2023. "Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression." Renewable Energy. 203, pp. 113-130. https://doi.org/10.1016/j.renene.2022.12.048

A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430

Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images

Deo, Ravinesh C., Karalasingham, Sagthitharan, Casillas-Perez, David, Raj, Narwin and Salcedo-sanz, Sancho. 2023. "Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images." IEEE Access. 11, pp. 5558-5577. https://doi.org/10.1109/ACCESS.2023.3236253

Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition

Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz. 2023. "Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition." Computer Methods and Programs in Biomedicine. 229, pp. 1-11. https://doi.org/https://doi.org/10.1016/j.cmpb.2022.107305

Early flowering changes robusta coffee yield responses to climate stress and managementv

Kath, Jarrod, Byrareddy, Vivekananda Mittahalli, Reardon-Smith, Kathryn and Mushtaq, Shahbaz. 2023. "Early flowering changes robusta coffee yield responses to climate stress and managementv." Science of the Total Environment. 856 (Part 1), pp. 1-12. https://doi.org/10.1016/j.scitotenv.2022.158836

Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm

Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362

Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm

Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm." IEEE Access. 9, pp. 50982-50993. https://doi.org/10.1109/ACCESS.2021.3065939

Effects of climate-smart agricultural practices on crop yields, soil carbon, and nitrogen pools in Africa: a meta-analysis

Kichamu-Wachira, Edith, Xu, Zhihong, Reardon-Smith, Kathryn, Biggs, Duan, Wachira, Geoffrey and Omidvar, Negar. 2021. "Effects of climate-smart agricultural practices on crop yields, soil carbon, and nitrogen pools in Africa: a meta-analysis." Journal of Soils and Sediments: protection, risk assessment and remediation. 21 (4), pp. 1587-1597. https://doi.org/10.1007/s11368-021-02885-3

A hierarchical classification/regression algorithm for improving extreme wind speed events prediction

Pelaez-Rodriguez, C., Perez-Aracil, J., Fister, D, Prieto-Godino, L., Deo, R.C. and Salcedo-sanz, S.. 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction." Renewable Energy. 201 (Part 2), pp. 157-178. https://doi.org/10.1016/j.renene.2022.11.042

Innovations for a climate resilient sustainable agricultural sector

Mushtaq, Shahbaz, Kath, Jarrod and Reardon-Smith, Kathryn. 2022. "Innovations for a climate resilient sustainable agricultural sector." The Australian Farmer: A Digital Publication and Knowledge Tool for the Forward-Thinking Farmer. II, pp. 237-238.

Pattern recognition describing spatio-temporal drivers of catchment classification for water quality

O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C. and Pembleton, Keith G.. 2023. "Pattern recognition describing spatio-temporal drivers of catchment classification for water quality." Science of the Total Environment. 861, pp. 1-42. https://doi.org/10.1016/j.scitotenv.2022.160240

The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds

Downs, Nathan, Raj, Nawin, Vanos, Jennifer, Parisi, Alfio, Butler, Harry, Deo, Ravinesh, Igoe, Damien, Dexter, Benjamin, Beckman-Downs, Melanie, Turner, Joanna and Dekeyser, Stijn. 2023. "The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds." Photochemistry and Photobiology. 99 (4), pp. 1193-1207. https://doi.org/10.1111/php.13745

Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps

Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Salcedo-sanz, Sancho and Soar, Jeffrey. 2022. "Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps." IEEE Access. 10, pp. 119814 - 119825. https://doi.org/10.1109/ACCESS.2022.3221762

Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm

Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.

Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction

Ghimire, Sujan, Nguyen-Huy, Thong, Prasad, Ramendra, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho and Bhandari, Binayak. 2022. "Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction." Cognitive Computation. 15 (2), pp. 645-671. https://doi.org/10.1007/s12559-022-10070-y

Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models

Nguyen-Huy, Thong, Deo, Ravinesh C., Khan, Shahjahan, Devi, Aruna, Adeyinka, Adewuyi Ayodele, Apan, Armando A. and Yaseen, Zaher Mundher. 2022. "Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models." IEEE Access. 10, pp. 45112 -45136. https://doi.org/10.1109/ACCESS.2022.3168322

Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia

Murray, Xavier, Apan, Armando, Deo, Ravinesh and Maraseni, Tek. 2022. "Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia." Geocarto International. 37 (26), pp. 11223-11252. https://doi.org/10.1080/10106049.2022.2048902

Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization

Ahmadianfar, Iman, Noori, Ramzia Majeed, Togun, Hussein, Falah, Mayadah W., Homod, Raad Z., Fu, Minglei, Halder, Bijay, Deo, Ravinesh and Yaseen, Zaher Mundher. 2022. "Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization." Knowledge-Based Systems. 250, pp. 1-18. https://doi.org/10.1016/j.knosys.2022.109048

Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach

Khosravi, Khabat, Golkarian, Ali, Melesse, Assefa M. and Deo, Ravinesh C.. 2022. "Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach." Journal of Hydrology. 610, pp. 1-14. https://doi.org/10.1016/j.jhydrol.2022.127963

Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study

Halder, Bijay, Bandyopadhyay, Jatisankar, Afan, Haitham Abdulmohsin, Naser, Maryam H., Abed, Salwan Ali, Khedher, Khaled Mohamed, Falih, Khaldoon T., Deo, Ravinesh, Scholz, Miklas and Yaseen, Zaher Mundher. 2022. "Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study." Agronomy. 12 (6), pp. 1-23. https://doi.org/10.3390/agronomy12061268

Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction

Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Prasad, Ramendra, Li, Jianxin, Farooque, Aitazaz and Yaseen, Zaher Mundher. 2022. "Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction." Scientific Reports. 12 (1), pp. 1-23. https://doi.org/10.1038/s41598-022-09482-5

Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network

Deo, Ravinesh C., Grant, Richard H., Webb, Ann, Ghimire, Sujan, Igoe, Damien P., Downs, Nathan J., Al-Musaylh, Mohanad S., Parisi, Alfio V. and Soar, Jeffrey. 2022. "Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network." Stochastic Environmental Research and Risk Assessment. 36, p. 3183–3220. https://doi.org/10.1007/s00477-022-02188-0

Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction

Ghimire, Sujan, Deo, Ravinesh C, Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction." Renewable Energy. 190, pp. 408-424. https://doi.org/10.1016/j.renene.2022.03.120

Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model

Ghimire, Sujan, Nguyen-Huy, Thong, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model." Sustainable Materials and Technologies. 32, pp. 1-24. https://doi.org/10.1016/j.susmat.2022.e00429

Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia

Ghimire, Sujan, Bhandari, Binayak, Casillas-Perez, David, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2022. "Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia." Engineering Applications of Artificial Intelligence. 112, pp. 1-26. https://doi.org/10.1016/j.engappai.2022.104860

Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms." Applied Energy. 316, pp. 1-25. https://doi.org/10.1016/j.apenergy.2022.119063

Machine learning regression and classification methods for fog events prediction

Castillo-Boton, C., Casillas-Perez, D., Casanova-Mateo, C., Ghimire, S., Cerro-Prada, E., Gutierrez, P. A., Deo, R. C. and Salcedo-sanz, S.. 2022. "Machine learning regression and classification methods for fog events prediction." Atmospheric Research. 272, pp. 1-23. https://doi.org/10.1016/j.atmosres.2022.106157

Efficient water management and irrigation on farms

Reardon-Smith, K., Mushtaq, Shahbaz, Scobie, M., Eberhard, J. and Maraseni, T. N.. 2022. "Efficient water management and irrigation on farms." Sims, Ralph E. H. (ed.) Energy-smart farming: efficiency, renewable energy and sustainability. United Kingdom. Burleigh Dodds Science Publishing Limited. pp. 102-134

Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing

Riaz, Farina, Abdulla, Shahab, Ni, Wei, Radfar, Mohsen, Deo, Ravinesh and Hopkins, Susan. 2022. "Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing." Quantum Australia Conference 2022. Online 23 - 25 Feb 2022 Toowoomba, Australia. https://doi.org/10.13140/RG.2.2.34754.66245

Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759

Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin

Lu, Zhixiang, Feng, Qi, Wei, Yongping, Zhao, Yan, Deo, Ravinesh C., Xie, Jiali, Zhou, Sha, Zhu, Meng and Xu, Min. 2022. "Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin." Science of the Total Environment. 851 (Part 2), pp. 1-8. https://doi.org/10.1016/j.scitotenv.2022.158359

Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model

Ahmed, Abul Abrar Masrur, Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J., Devi, Aruna, Barua, Prabal D. and Yaseen, Zaher M.. 2022. "Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model." Sustainability. 14 (17), pp. 1-27. https://doi.org/10.3390/su141711070

Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors

Ahmed, A. A. Masrur, Sharma, Ekta, Jui, S. Janifer Jabin, Deo, Ravinesh C., Nguyen-Huy, Thong and Ali, Mumtaz. 2022. "Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors." Remote Sensing. 14 (5), pp. 1-24. https://doi.org/10.3390/rs14051136

Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System

Prasad, Salvin S., Deo, Ravinesh C., Downs, Nathan, Igoe, Damien, Parisi, Alfio V. and Soar, Jeffrey. 2022. "Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System." IEEE Access. 10, pp. 24704-24720. https://doi.org/10.1109/ACCESS.2022.3153475

Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects

Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Kumar, Adarsh, Malik, Tabarak, Jawad, Ali H., Khedher, Khaled Mohamed, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2022. "Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects." Journal of Environmental Management. 309, pp. 1-16. https://doi.org/10.1016/j.jenvman.2022.114711

An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis

Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2022. "An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis." Frontiers in Neuroinformatics. 15, pp. 1-15. https://doi.org/10.3389/fninf.2021.808339

Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

Ghimire, Sujan, Deo, Ravinesh C., Wang, Hua, Al-Musaylh, Mohanad S., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results." Energies. 15 (3), pp. 1-39. https://doi.org/10.3390/en15031061

Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals

Diykh, Mohammed, Miften, Firas Sabar, Abdulla, Shahab, Deo, Ravinesh C., Siuly, Siuly, Green, Jonathan H. and Oudah, Atheer Y.. 2022. "Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals." Measurement. 190 (110731), pp. 1-13. https://doi.org/10.1016/j.measurement.2022.110731

Drought Outlook Products Review

Cobon, David, Nguyen-Huy, Thong and Reardon-Smith, Kate. 2019. Drought Outlook Products Review. Toowoomba, Australia. University of Southern Queensland.

A framework for assessing the value of seasonal climate forecasting in key agricultural decisions

An-Vo, Duc-Anh, Radanielson, Ando Mariot, Mushtaq, Shahbaz, Reardon-Smith, Kate and Hewitt, Chris. 2021. "A framework for assessing the value of seasonal climate forecasting in key agricultural decisions." Climate Services. 22, pp. 1-14. https://doi.org/10.1016/j.cliser.2021.100234

Domino effect of climate change over two millennia in ancient China’s Hexi Corridor

Feng, Qi, Yan, Linshan, Deo, Ravinesh C., AghaKouchak, Amir, Adamowski, Jan F., Stone, Roger, Yin, Zhenliang, Liu, Wei, Si, Jianhua, Wen, Xiaohu, Zhu, Meng and Cao, Shixiong. 2019. "Domino effect of climate change over two millennia in ancient China’s Hexi Corridor." Nature Sustainability. 2, pp. 957-961. https://doi.org/10.1038/s41893-019-0397-9

Bat algorithm for dam–reservoir operation

Ethteram, Mohammad, Mousavi, Sayed-Farhad, Karami, Hojat, Farzin, Saeed, Deo, Ravinesh, Othman, Faridah Binti, Chau, Kwok-Wing, Sarkamaryan, Saeed, Singh, Vijay P. and El-Shafie, Ahmed. 2018. "Bat algorithm for dam–reservoir operation." Environmental Earth Sciences. 77 (13), pp. 1-15. https://doi.org/10.1007/s12665-018-7662-5

Characteristics of ecosystem water use efficiency in a desert riparian forest

Ma, Xiaohong, Feng, Qi, Su, Yonghong, Yu, Tengfei and Deo, Ravinesh C.. 2018. "Characteristics of ecosystem water use efficiency in a desert riparian forest." Environmental Earth Sciences. 77 (358). https://doi.org/10.1007/s12665-018-7518-z

The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River

Diop, Lamine, Bodian, Ansoumana, Djaman, Koffi, Yaseen, Zaher Mundher, Deo, Ravinesh C., El-Shafie, Ahmed and Brown, Larry C.. 2018. "The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River." Environmental Earth Sciences. 77 (5). https://doi.org/10.1007/s1266

Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River

Raheli, Bahare, Aalami, Mohammad Taghi, El-Shafie, Ahmed, Ghorbani, Mohammad Ali and Deo, Ravinesh C.. 2017. "Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River." Environmental Earth Sciences. 76 (14). https://doi.org/10.1007/s12665-017-6842-z

The value of seasonal climate forecasting in agricultural decision-making

Reardon-Smith, Kate and An-Vo, Duc-Anh. 2022. "The value of seasonal climate forecasting in agricultural decision-making." African Technical Workshop on Crop Models and coupling with Numerical Weather and Seasonal to Sub-seasonal Forecasts. Niamey, Niger 13 - 15 Jun 2022

Northern Australia Climate Program: supporting adaptation in rangeland grazing systems through more targeted climate forecasts, improved drought information and an innovative extension program

Cobon, David, Jarvis, Chelsea, Reardon-Smith, Kate, Guillory, Laura, Pudmenzky, Christa, Nguyen-Huy, Thong, Mushtaq, Shahbaz and Stone, Roger. 2021. "Northern Australia Climate Program: supporting adaptation in rangeland grazing systems through more targeted climate forecasts, improved drought information and an innovative extension program." The Rangeland Journal. 43 (3), pp. 87-100. https://doi.org/10.1071/RJ20074

Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots

Sharma, Ekta, Deo, Ravinesh C., Soar, Jeffrey, Prasad, Ramendra, Parisi, Alfio V. and Raj, Nawin. 2022. "Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots." Atmospheric Environment. 279, pp. 1-13. https://doi.org/10.1016/j.atmosenv.2022.119111

New double decomposition deep learning methods for river water level forecasting

Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Feng, Qi, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "New double decomposition deep learning methods for river water level forecasting." Science of the Total Environment. 831, pp. 1-21. https://doi.org/10.1016/j.scitotenv.2022.154722

Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data

Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534

Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine

Sharma, Neelesh and Deo, Ravinesh. 2021. "Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. Netherlands. Elsevier. pp. 437-484

Support vector machine model for multistep wind speed forecasting

Prasad, Shobna Mohini Mala, Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "Support vector machine model for multistep wind speed forecasting." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 335-389

Development of data-driven models for wind speed forecasting in Australia

Neupane, Ananta, Raj, Nawin, Deo, Ravinesh and Ali, Mumtaz. 2021. "Development of data-driven models for wind speed forecasting in Australia." Deo, R., Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 143-190

Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)

Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034

A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil

Ghahramani, Afshin, Bennett, John McLean, Ali, Aram, Reardon-Smith, Kathryn, Dale, Glenn, Roberton, Stirling D. and Raine, Steven. 2021. "A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil." Sustainability. 13 (20), pp. 1-23. https://doi.org/10.3390/su132011267

Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok-Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P. and Yaseen, Zaher Mundher. 2021. "Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions." Engineering Applications of Computational Fluid Mechanics. 15 (1), pp. 1585-1612. https://doi.org/10.1080/19942060.2021.1984992

Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data

O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C., Pembleton, Keith, Khan, Urooj and Tuteja, Narendra. 2022. "Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data." Science of the Total Environment. 809, pp. 1-15. https://doi.org/10.1016/j.scitotenv.2021.151139

Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia

Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Sankaran, Adarsh, Deo, Ravinesh C., Xiao, Fuyuan and Zhu, Shuyu. 2021. "Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia." Renewable Energy. 177, pp. 1033-1044. https://doi.org/10.1016/j.renene.2021.06.052

Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition

Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193

Are water markets a viable proposition in the Lower Mekong Basin?

Reardon-Smith, Kate, McCartney, Matthew and Rebelo, Lisa-Maria. 2021. "Are water markets a viable proposition in the Lower Mekong Basin?" Wheeler, Sarah Ann (ed.) Water markets: a global assessment. Cheltenham, United Kingdom. Edward Elgar Publishing. pp. 91-111

An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems

Yin, Xinwei, Feng, Qi, Li, Yan, Deo, Ravinesh C., Liu, Wei, Zhu, Meng, Zheng, Xinjun and Liu, Ran. 2022. "An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems." Science of the Total Environment. 806 (2), pp. 1-20. https://doi.org/10.1016/j.scitotenv.2021.150599

Hybrid deep learning method for a week-ahead evapotranspiration forecasting

Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-x

Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks

Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji and Tao, Xiaohui. 2021. "Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks." Scientific Reports. 11, pp. 1-26. https://doi.org/10.1038/s41598-021-96751-4

An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam

Pham, Yen Hoang. 2021. An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/dbty-kn67

The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces

Prahl, Rosa E., Khan, Shahjahan and Deo, Ravinesh C.. 2021. "The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces." PLoS One. 16 (6), pp. 1-28. https://doi.org/10.1371/journal.pone.0253772

Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data

Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554

LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios

Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3

A new framework for classification of multi-category hand grasps using EMG signals

Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab, Siuly, Siuly, Green, Jonathan H. and Deo, Ravinesh C.. 2021. "A new framework for classification of multi-category hand grasps using EMG signals." Artificial Intelligence in Medicine. 112, pp. 1-14. https://doi.org/10.1016/j.artmed.2020.102005

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350

Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models

Bayatvarkeshi, Maryam, Bhagat, Suraj Kumar, Mohammadi, Kourosh, Kisi, Ozgur, Farahani, M., Hasani, A., Deo, Ravinesh and Yaseen, Zaher Mundher. 2021. "Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models." Computers and Electronics in Agriculture. 185. https://doi.org/10.1016/j.compag.2021.106158

Applying risk-based principles of dispersive mine spoil behaviour to facilitate development of cost-effective best management practices

Bennett, John, Raine, Steve, Reardon-Smith, Kate, Dale, Glenn and Thomas, Evan. 2017. Applying risk-based principles of dispersive mine spoil behaviour to facilitate development of cost-effective best management practices. Unpublished.

Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite

Yeom, Jong-Min, Jeong, Seungtaek, Deo, Ravinesh C. and Ko, Jonghan. 2021. "Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite." GIScience and Remote Sensing. https://doi.org/10.1080/15481603.2020.1853352

Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks

Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002

MARS model for prediction of short- and long-term global solar radiation

Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Roy, Sanjiban Sekhar and Samui, Pijush (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. United Kingdom. Elsevier. pp. 391-436

Developing reservoir evaporation predictive model for successful dam management

Allawi, Mohammed Falah, Ahmed, Mohammed Lateef, Aidan, Ibraheem Abdallah, Deo, Ravinesh C. and El-Shafie, Ahmed. 2021. "Developing reservoir evaporation predictive model for successful dam management." Stochastic Environmental Research and Risk Assessment. 35 (2), pp. 499-514. https://doi.org/10.1007/s00477-020-01918-6

Application of effective drought index for quantification of meteorological drought events: a case study in Australia

Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Begum, Khaleda. 2017. "Application of effective drought index for quantification of meteorological drought events: a case study in Australia." Theoretical and Applied Climatology. 128 (1-2), pp. 359-379. https://doi.org/10.1007/s00704-015-1706-5

Carbon smart agriculture: An integrated regional approach offers significant potential to increase profit and resource use efficiency, and reduce emissions

Maraseni, Tek, An-Vo, Duc-Anh, Mushtaq, Shahbaz and Reardon-Smith, Kate. 2021. "Carbon smart agriculture: An integrated regional approach offers significant potential to increase profit and resource use efficiency, and reduce emissions." Journal of Cleaner Production. 282, pp. 1-14. https://doi.org/10.1016/j.jclepro.2020.124555

Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam

Pham, Yen, Reardon-Smith, Kathryn, Mushtaq, Shahbaz and Deo, Ravinesh C.. 2020. "Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam." Climate Risk Management. 30, pp. 1-17. https://doi.org/10.1016/j.crm.2020.100255

Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach

Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Li, Ya and Yaseen, Zaher Mundher. 2020. "Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach." Hydrological Sciences Journal. 65 (16), pp. 2693-2708. https://doi.org/10.1080/02626667.2020.1808219

Feedback modelling of the impacts of drought on coffee production in Vietnam

Pham, Yen, Reardon-Smith, Kathryn, Mushtaq, Shahbaz and Kotir, Julius. 2020. "Feedback modelling of the impacts of drought on coffee production in Vietnam." 3rd Asia Pacific System Dynamics Conference. Brisbane, Australia 02 - 04 Feb 2020 Brisbane, Australia.

Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji

Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6

The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space

Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805

Modelling drought impacts on coffee production in Viet Nam: a system dynamics approach

Pham, Y., Reardon-Smith, K. and Mushtaq, S.. 2019. "Modelling drought impacts on coffee production in Viet Nam: a system dynamics approach." Elsawah, S. (ed.) 23rd International Congress on Modelling and Simulation (MODSIM2019). Canberra, Australia 01 - 06 Dec 2019 Canberra, Australia.

Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression

Ali, Mumtaz and Deo, Ravinesh C.. 2020. "Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 37-87

MARS model for prediction of short- and long-term global solar radiation

Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 391-436

Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm

Karalasingham, Sagthitharan, Deo, Ravinesh and Prasad, Ramendra. 2021. "Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 271-298

Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration

Goundar, Harshna, Yaseen, Zaher Mundher and Deo, Ravinesh. 2021. "Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 191-232

Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition

Rezaie-Balf, Mohammad, Kim, Sungwon, Ghaemi, Alireza and Deo, Ravinesh. 2021. "Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 115-142

Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models

Liu, Wen, Feng, Qi, Deo, Ravinesh C., Yao, Lei and Wei, Wei. 2020. "Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models ." Environmental Management (New York): an international journal for decision-makers, scientists and environmental auditors. 66 (4), pp. 683-693. https://doi.org/10.1007/s00267-020-01339-9

Ensemble neural network approach detecting pain intensity from facial expressions

Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954

Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods

Prasad, Ramendra, Charan, Dhrishna, Joseph, Lionel, Nguyen-Huy, Thong, Deo, Ravinesh C. and Singh, Sanjay. 2021. "Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 359-381

Artificial neural networks for prediction of Steadman Heat Index

Chand, Bhuwan, Nguyen-Huy, Thong and Deo, Ravinesh C.. 2021. "Artificial neural networks for prediction of Steadman Heat Index." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 293-357

Spatial prediction of landslide susceptibility using random forest algorithm

Rahmati, Omid, Kornejady, Aiding and Deo, Ravinesh C.. 2021. "Spatial prediction of landslide susceptibility using random forest algorithm." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 281-292

Intelligent data analytics for time series, trend analysis and drought indices comparison

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2021. "Intelligent data analytics for time series, trend analysis and drought indices comparison." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 151-169

Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere

Dayal, Kavina S., Wang, Bin and Deo, Ravinesh C.. 2021. "Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 127-150

Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction

Nguyen-Huy, Thong, Deo, Ravinesh C., Yaseen, Zaher Mundher, Mushtaq, Shahbaz and Prasad, Ramendra. 2021. "Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 29-47

Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation

Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher. 2021. Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer.

Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003

Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms

Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307

Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network

Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517

Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications

Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2020. "Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications." Expert Systems with Applications. 161. https://doi.org/10.1016/j.eswa.2020.113676

Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region

Wu, Min, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yin, Zhenliang, Yang, Linshan and Sheng, Danrui. 2020. "Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region." Hydrology Research: an international journal. 51 (4), pp. 648-665. https://doi.org/10.2166/nh.2020.012

Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors

Liu, Wen, Feng, Qi, Chen, Weiping and Deo, Ravinesh C.. 2020. "Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors." Environmental Science and Pollution Research. 27 (24), pp. 30831-30843. https://doi.org/10.1007/s11356-020-09220-2

Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea

Yeom, Jong-Min, Deo, Ravinesh C., Adamowski, Jan F., Park, Seonyoung and Lee, Chang-Suk. 2020. "Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea." Environmental Research Letters. 15 (9), pp. 1-10. https://doi.org/10.1088/1748-9326/ab9467

Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments

Salih, Sinan Q., Sharafati, Ahmad, Ebtehaj, Isa, Sanikhani, Hadi, Siddique, Ridwan, Deo, Ravinesh C., Bonakdari, Hossein, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2020. "Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments." Hydrological Sciences Journal. 65 (7), pp. 1145-1157. https://doi.org/10.1080/02626667.2020.1734813

Defining flood risk management strategies: a systems approach

Mai, Thanh, Mushtaq, Shahbaz, Reardon-Smith, Kate, Webb, Paul, Stone, Roger, Kath, Jarrod and An-Vo, Duc-Anh. 2020. "Defining flood risk management strategies: a systems approach." International Journal of Disaster Risk Reduction. 47. https://doi.org/10.1016/j.ijdrr.2020.101550

Creating positive synergies between risk management and transfer to accelerate food system climate resilience

Mushtaq, Shahbaz, Kath, Jarrod, Stone, Roger, Henry, Ross, Laderach, Peter, Reardon-Smith, Kathryn, Cobon, David, Marcussen, Torben, Cliffe, Neil, Kristiansen, Paul and Pischke, Frederik. 2020. "Creating positive synergies between risk management and transfer to accelerate food system climate resilience." Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change. 161 (3), pp. 465-478. https://doi.org/10.1007/s10584-020-02679-5

Hybridized neural fuzzy ensembles for dust source modeling and prediction

Rahmati, Omid, Panahi, Mahdi, Ghiasi, Seid Saeid, Deo, Ravinesh C., Tiefenbacher, John P., Pradhan, Biswajeet, Jahani, Ali, Goshtasb, Hamid, Kornejady, Aiding, Shahabi, Himan, Shirzadi, Ataollah, Khosravi, Hassan, Moghaddam, Davoud Davoudi, Mohtashamian, Maryamsadat and Bui, Dieu Tien. 2020. "Hybridized neural fuzzy ensembles for dust source modeling and prediction." Atmospheric Environment. 224, pp. 1-11. https://doi.org/10.1016/j.atmosenv.2020.117320

Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model

Tao, Hai, Sharafati, Ahmad, Mohammed, Achite, Salih, Sinan Q., Deo, Ravinesh C., Al-Ansari, Nadhir and Yaseen, Zaher Mundher. 2020. "Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model." IEEE Access. 8, pp. 12026-12042. https://doi.org/10.1109/ACCESS.2020.2965303

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kim, Sungwon, Kashani, Mahasa Hasanpour, Karimi, Vahid and Izadkhah, Maryam. 2020. "Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia." Soft Computing. 24, pp. 12079-12090. https://doi.org/10.1007/s00500-019-04648-2

Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China

Yang, Linshan, Feng, Qi, Adamowski, Jan F., Deo, Ravinesh C., Yin, Zhenlaing, Wen, Xiaohu, Tang, Xia and Wu, Min. 2020. "Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China." Science of the Total Environment. 713, pp. 1-11. https://doi.org/10.1016/j.scitotenv.2020.136587

Mixing characteristics of a film-exciting flapping jet

Wu, M., Xu, M., Mi, J. and Deo, R. C.. 2020. "Mixing characteristics of a film-exciting flapping jet." International Journal of Heat and Fluid Flow. 82, pp. 1-9. https://doi.org/10.1016/j.ijheatfluidflow.2019.108532

Enhanced deep learning algorithm development to detect pain intensity from facial expression images

Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffery, Whittaker, Frank and Wang, Hua. 2020. "Enhanced deep learning algorithm development to detect pain intensity from facial expression images." Expert Systems with Applications. 149, pp. 1-10. https://doi.org/10.1016/j.eswa.2020.113305

A general extensible learning approach for multi-disease recommendations in a telehealth environment

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Zhu, Xiaodong, Li, Hongzhou, Chang, Liang and Deo, Ravinesh. 2020. "A general extensible learning approach for multi-disease recommendations in a telehealth environment ." Pattern Recognition Letters. 132, pp. 106-114. https://doi.org/10.1016/j.patrec.2018.11.006

A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms

Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2020. "A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms." Science of the Total Environment. 709, pp. 1-23. https://doi.org/10.1016/j.scitotenv.2019.135934

Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

Rahmati, Omid, Falah, Fatemeh, Dayal, Kavina Shaanu, Deo, Ravinesh C., Mohammadi, Farnoush, Biggs, Trent, Moghaddam, Davoud Davoudi, Naghibi, Seyed Amir and Bui, Dieu Tien. 2020. "Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia." Science of the Total Environment. 699 (134230). https://doi.org/10.1016/j.scitotenv.2019.134230

Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models

Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Adamowski, Jan F., Wen, Xiaohu, Jia, Bing and Si, Jianhua. 2020. "Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models." International Journal of Climatology. 40 (8), pp. 3922-3941. https://doi.org/10.1002/joc.6435

The impact of climate change and variability on coffee production: a systematic review

Pham, Yen, Reardon-Smith, Kathryn, Mushtaq, Shahbaz and Cockfield, Geoff. 2019. "The impact of climate change and variability on coffee production: a systematic review." Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change. 156 (4), pp. 609-630. https://doi.org/10.1007/s10584-019-02538-y

Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables

Yeom, Jong-Min, Deo, Ravinesh, Adamowski, Jan F., Chae, Taebyeong, Kim, Dong-Su, Han, Kyung-Soo and Kim, Do-Yong. 2020. "Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables." Renewable and Sustainable Energy Reviews. 119, pp. 1-14. https://doi.org/10.1016/j.rser.2019.109570

Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia

Rahmati, Omid, Panahi, Mahdi, Kalantari, Zahra, Soltani, Elinaz, Falah, Fatemeh, Dayal, Kavina S., Mohammadi, Farnoush, Deo, Ravinesh C., Tiefenbacher, John and Bui, Dieu Tien. 2020. "Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia." Science of the Total Environment. 718, pp. 1-17. https://doi.org/10.1016/j.scitotenv.2019.134656

Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Liu, Wen. 2020. "Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China." Catena. 187. https://doi.org/10.1016/j.catena.2019.104345

Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses

Deo, Ravinesh C., Yaseen, Zaher Mundher, Al-Ansari, Nadhir, Nguyen-Huy, Thong, Langlands, Trevor and Galligan, Linda. 2020. "Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses." IEEE Access. 8, pp. 136697-136724. https://doi.org/10.1109/ACCESS.2020.3010938

Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model

Ciupak, Maurycy, Ozga-Zielinski, Bogdan, Adamowski, Jan, Deo, Ravinesh C and Kochanek, Krzysztof. 2019. "Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model." Water: an open access journal. 11 (10), pp. 1-31. https://doi.org/10.3390/w11102138

Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins

Guo, Xiaoyan, Feng, Qi, Si, Jianhua, Xi, Haiyang, Zhao, Yan and Deo, Ravinesh C.. 2019. "Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins." Journal of Hydrology. 579, pp. 1-11. https://doi.org/10.1016/j.jhydrol.2019.124212

Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz and Khan, Shahjahan. 2020. "Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 203-227

Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2020. "Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 89-105

Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2020. "Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 141-178

Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls

Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi and Yang, Linshan. 2019. "Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (10), pp. 3427-3441. https://doi.org/10.1007/s11368-019-02295-6

Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains

Qin, Yanyan, Adamowski, Jan F., Deo, Ravinesh C., Hu, Zeyong, Cao, Jianjun, Zhu, Meng and Feng, Qi. 2019. "Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains." Ecosphere. 10 (9), pp. 1-13. https://doi.org/10.1002/ecs2.2851

Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors

Cao, Jianjun, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Gong, Yifan and Feng, Qi. 2019. "Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors." Rangeland Ecology and Management. 72 (6), pp. 988-995. https://doi.org/10.1016/j.rama.2019.06.001

Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals

Diykh, Mohammed, Abdulla, Shahab, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals." Biomedical Signal Processing and Control. 54, pp. 1-10. https://doi.org/10.1016/j.bspc.2019.101611

The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs

Liu, Wen, Wei, Wei, Chen, Weiping, Deo, Ravinesh C., Si, Jianhua, Xi, Haiyang, Li, Baofeng and Feng, Qi. 2019. "The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs." Journal of Hydrology. 576, pp. 575-582. https://doi.org/10.1016/j.jhydrol.2019.06.061

Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Deo, Ravinesh C., Si, Jianhua and Li, Changbin. 2019. "Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China." Theoretical and Applied Climatology. 137 (1-2), pp. 323-339. https://doi.org/10.1007/s00704-018-2598-y

Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction

Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541

Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm

Abdulla, Shahab, Diykh, Mohammed, Lafta, Raid Luaibi, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm." Expert Systems with Applications. 138, pp. 1-15. https://doi.org/10.1016/j.eswa.2019.07.007

Value of seasonal climate forecasts in reducing economic losses for grazing enterprises: Charters Towers case study

An-Vo, Duc-Anh, Reardon-Smith, Kate, Mushtaq, Shahbaz, Cobon, David, Kodur, Shreevatsa and Stone, Roger. 2019. "Value of seasonal climate forecasts in reducing economic losses for grazing enterprises: Charters Towers case study." The Rangeland Journal. 41 (3), pp. 165-175. https://doi.org/10.1071/RJ18004

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2019. "Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia." Renewable and Sustainable Energy Reviews. 113. https://doi.org/10.1016/j.rser.2019.109293

Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme

Tao, Hai, Ebtehaj, Isa, Bonakdari, Hossein, Heddam, Salim, Voyant, Cyril, Al-Ansari, Nadhir, Deo, Ravinesh and Yaseen, Zaheer Mundher. 2019. "Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme." Energies. 12 (7), pp. 1-24. https://doi.org/10.3390/en12071365

Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models

Kisi, Ozgur, Choubin, Bahram, Deo, Ravinesh C. and Yaseen, Zaheer Mundher. 2019. "Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models." Hydrological Sciences Journal. 64 (10), pp. 1240-1252. https://doi.org/10.1080/02626667.2019.1632460

Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms

Ali, Mumtaz, Deo, Ravinesh C., Maraseni, Tek and Downs, Nathan J.. 2019. "Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms." Journal of Hydrology. 576, pp. 164-184. https://doi.org/10.1016/j.jhydrol.2019.06.032

Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407

Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect

Liu, Wen, Chen, Weiping, Feng, Qi and Deo, Ravinesh C.. 2019. "Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect." Water Science and Technology: Water Supply. 19 (1), pp. 115-127. https://doi.org/10.2166/ws.2018.057

Meeting national emissions reduction obligations: a case study of Australia

Maraseni, Tek and Reardon-Smith, Kathryn. 2019. "Meeting national emissions reduction obligations: a case study of Australia." Energies. 12 (3), pp. 1-13. https://doi.org/10.3390/en12030438

Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau

Cao, Jianjun, Li, Guangdong, Adamowski, Jan F., Holden, Nicolas M., Deo, Ravinesh C., Hu, Zeyong, Zhu, Guofeng, Xu, Xueyun and Feng, Qi. 2019. "Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 86, pp. 261-267. https://doi.org/10.1016/j.landusepol.2019.05.008

Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water

Kodur, Shreevatsa, Shrestha, Uttam Babu, Maraseni, Tek Narayan and Deo, Ravinesh C.. 2019. "Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water." Journal of Cleaner Production. 222, pp. 960-970. https://doi.org/10.1016/j.jclepro.2019.03.079

Land subsidence modelling using tree-based machine learning algorithms

Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerda, Artemi, Mohammadi, Farnoush and Bui, Dieu Tien. 2019. "Land subsidence modelling using tree-based machine learning algorithms." Science of the Total Environment. 672, pp. 239-252. https://doi.org/10.1016/j.scitotenv.2019.03.496

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2019. "Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach." Catena. 177, pp. 149-166. https://doi.org/10.1016/j.catena.2019.02.012

Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2019. "Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies." Stochastic Environmental Research and Risk Assessment. 33 (3), pp. 779-799. https://doi.org/10.1007/s00477-019-01662-6

Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China

Cao, Jianjun, Gong, Yifan, Adamowski, Jan F., Deo, Ravinesh C., Zhu, Guofeng, Dong, Xiaogang, Zhang, Xiaofang, Liu, Haibo and Xin, Cunlin. 2019. "Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China." Scientific Reports. 9 (1), pp. 1-11. https://doi.org/10.1038/s41598-019-39626-z

Diverse drivers of unsustainable groundwater extraction behaviour operate in an unregulated water scarce region

Khair, Syed Muhammad, Mushtaq, Shabaz, Reardon-Smith, Kate and Ostini, Jenny. 2019. "Diverse drivers of unsustainable groundwater extraction behaviour operate in an unregulated water scarce region." Journal of Environmental Management. 236, pp. 340-350. https://doi.org/10.1016/j.jenvman.2018.12.077

The role of topography in shaping the spatial patterns of soil organic carbon

Zhu, Meng, Feng, Qi, Qin, Yanyan, Cao, Jiajun, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi, Li, Ruolin and Li, Baofeng. 2019. "The role of topography in shaping the spatial patterns of soil organic carbon." Catena. 176, pp. 296-305. https://doi.org/10.1016/j.catena.2019.01.029

PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches

Rahmati, Omid, Kornejady, Aiding, Samadi, Mahmood, Deo, Ravinesh C., Conoscenti, Christian, Lombardo, Luigi, Dayal, Kavina, Taghizadeh-Mehrjardi, Ruhollah, Pourghasemi, Hamid Reza, Kumar, Sandeep and Bui, Dieu Tien. 2019. "PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the Total Environment. 664, pp. 296-311. https://doi.org/10.1016/j.scitotenv.2019.02.017

Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach

Deo, Ravinesh C., Sahin, Mehmet, Adamowski, Jan F. and Mi, Jianchun. 2019. "Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach." Renewable and Sustainable Energy Reviews. 104, pp. 235-261. https://doi.org/10.1016/j.rser.2019.01.009

Value of seasonal forecasting for sugarcane farm irrigation planning

An-Vo, Duc-Anh, Mushtaq, Shahbaz, Reardon-Smith, Kathryn, Kouadio, Louis, Attard, Steve, Cobon, David and Stone, Roger. 2019. "Value of seasonal forecasting for sugarcane farm irrigation planning." European Journal of Agronomy. 104, pp. 37-48. https://doi.org/10.1016/j.eja.2019.01.005

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min, Yin, Zhenliang, Yang, Linshan and Singh, Vijay P.. 2019. "Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems." Journal of Hydrology. 570, pp. 167-184. https://doi.org/10.1016/j.jhydrol.2018.12.060

Remotely sensed agricultural grassland productivity responses to land use and hydro-climatic drivers under extreme drought and rainfall

Kath, Jarrod, Le Brocque, Andrew, Reardon-Smith, Kathryn and Apan, Armando. 2019. "Remotely sensed agricultural grassland productivity responses to land use and hydro-climatic drivers under extreme drought and rainfall." Agricultural and Forest Meteorology. 268, pp. 11-22. https://doi.org/10.1016/j.agrformet.2019.01.007

New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm

Meshram, Sarita Gajbhiye, Ghorbani, M. A., Deo, Ravinesh C., Kashani, Mahsa Hasanpour, Meshram, Chandrashekhar and Karimi, Vahid. 2019. "New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm." Water Resources Management. 33 (7), pp. 2335-2356. https://doi.org/10.1007/s11269-019-02265-0

Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches

Maroufpoor, Saman, Sanikhani, Hadi, Kisi, Ozgur, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2019. "Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches." International Journal of Climatology. 39 (8), pp. 3543-3557. https://doi.org/10.1002/joc.6037

Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system

Roshni, Thendiyath, Jha, Madan K., Deo, Ravinesh C. and Vandana, A.. 2019. "Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system." Water Resources Management. 33 (7), pp. 2381-2397. https://doi.org/10.1007/s11269-019-02253-4

An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction

Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069

The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments

Liu, Wen, Feng, Qi, Chen, Weiping, Wei, Wei and Deo, Ravinesh C.. 2019. "The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments." Journal of Hydrology. 569, pp. 230-238. https://doi.org/10.1016/j.jhydrol.2018.11.066

Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes

Chen, Lijuan, Li, Changsheng, Feng, Qi, Wei, Yongping, Zhao, Yan, Zhu, Meng and Deo, Ravinesh C.. 2019. "Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes." Catena. 172, pp. 581-589. https://doi.org/10.1016/j.catena.2018.09.030

Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia

Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158

A systems thinking approach to water trade: finding leverage for sustainable development

Mai, Thanh, Mushtaq, Shahbaz, Loch, Adam, Reardon-Smith, K. and An-Vo, Duc-Anh. 2019. "A systems thinking approach to water trade: finding leverage for sustainable development." Land Use Policy: the international journal covering all aspects of land use. 82, pp. 595-608. https://doi.org/10.1016/j.landusepol.2019.01.004

Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China

Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Xiao, Shengchun. 2017. "Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China." Water: an open access journal. 9 (11), pp. 880-902. https://doi.org/10.3390/w9110880

The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China

Yin, Zhenliang, Feng, Qi, Liu, Shiyin, Zhou, Songbing, Li, Jing, Yang, Linshan and Deo, Ravinesh C.. 2017. "The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China." Water: an open access journal. 9 (3), pp. 159-178. https://doi.org/10.3390/w9030159

History of drought management in Australia

Reardon-Smith, Kathryn, Williams, Allyson, Mushtaq, Shahbaz, Cobon, David, McRae, David and Kouadio, Louis. 2017. "History of drought management in Australia." Eslamien, Saied and Eslamien, Faezeh (ed.) Handbook of Drought and Water Scarcity: Management of Drought and Water Scarcity. United States. CRC Press. pp. 423-448

Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset

Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2018. "Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset." Huang, Q. and Kolhe, M. (ed.) 3rd International Conference on Power and Renewable Energy (ICPRE 2018). Berlin, Germany 21 - 24 Sep 2018 Germany. https://doi.org/10.1051/e3sconf/20186408001

Drought climate adaptation program: producing enhanced agricultural crop insurance systems: summary report

Mushtaq, Shabaz, Marcussen, Torben, Kath, Jarrod, Reardon-Smith, Kathryn, Kouadio, Louis, Krishnamurti, Chandrasekhar, Stone, Roger, Roberts, Julian, Mehmet, Russell, Pilling, Debbie and Henry, Ross. 2018. Drought climate adaptation program: producing enhanced agricultural crop insurance systems: summary report. University of Southern Queensland.

Drought climate adaptation program: producing enhanced agricultural crop insurance systems: final report

Mushtaq, Shahbaz, Marcussen, Torben, Kath, Jarrod, Reardon-Smith, Kathryn, Kouadio, Louis, Krishnamurti, Chandrasekhar, Stone, Roger, Roberts, Julian, Mehmet, Russell, Pilling, Debbie and Henry, Ross. 2017. Drought climate adaptation program: producing enhanced agricultural crop insurance systems: final report. University of Southern Queensland.

Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China

Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Qin, Yanyan, Deo, Ravinesh C. and Zhang, Chengqi. 2019. "Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (4), pp. 1640-1650. https://doi.org/10.1007/s11368-018-2203-0

A joint deep neural network model for pain recognition from face

Bargshady, Ghazal, Soar, Jeffrey, Zhou, Xujuan, Deo, Ravinesh, Whittaker, Frank and Wang, Hua. 2019. "A joint deep neural network model for pain recognition from face." 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019). Singapore 23 - 25 Feb 2019 Singapore. pp. 52-56 https://doi.org/10.1109/CCOMS.2019.8821779

Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China

Zhang, Xiaofang, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Zhu, Guofeng and Cao, Jianjun. 2018. "Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China." Water: an open access journal. 10 (12), pp. 1-15. https://doi.org/10.3390/w10121710

Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China

Zhao, Yu, Feng, Qi, Lu, Aigang and Deo, Ravinesh C.. 2019. "Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China." Chemistry and Ecology. 35 (4), pp. 330-343. https://doi.org/10.1080/02757540.2018.1554060

Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Kashani, Mahsa H. and Ghorbani, Shahryar. 2018. "Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting." Stochastic Environmental Research and Risk Assessment. 33 (1), pp. 125-147. https://doi.org/10.1007/s00477-018-1630-1

Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model

Yeom, Jong-min, Jeong, Seungtaek, Jeong, Gwanyong, Ng, Chi Tim, Deo, Ravinesh C. and Ko, Jonghan. 2018. "Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model." Scientific Reports. 8, pp. 1-15. https://doi.org/10.1038/s41598-018-34550-0

Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties

Kouadio, Louis, Deo, Ravinesh C., Byrareddy, Vivekananda, Adamowski, Jan F., Mushtaq, Shahbaz and Nguyen, Van Phuong. 2018. "Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties." Computers and Electronics in Agriculture. 155, pp. 324-338. https://doi.org/10.1016/j.compag.2018.10.014

Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kashani, Mahsa H., Shahabi, Mahmoud and Ghorbani, Shahryar. 2019. "Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity." Soil and Tillage Research. 186, pp. 152-164. https://doi.org/10.1016/j.still.2018.09.012

Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation

Deo, Ravinesh C., Adamowski, Jan F., Begum, Khaleda, Salcedo-sanz, Sancho, Kim, Do-Woo, Dayal, Kavina S. and Byun, Hi-Ryong. 2019. "Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation." Theoretical and Applied Climatology. 137, pp. 1201-1215. https://doi.org/10.1007/s00704-018-2657-4

Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach

Yaseen, Zaheer Munder, Tran, Minh Tung, Kim, Sungwon, Bakhshpoori, Taha and Deo, Ravinesh C.. 2018. "Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach." Engineering Structures. 177, pp. 244-255. https://doi.org/10.1016/j.engstruct.2018.09.074

Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation

Deo, Ravinesh C., Downs, Nathan J., Adamowski, Jan F. and Parisi, Alfio V.. 2018. "Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation." Food and Energy Security. 8 (1). https://doi.org/10.1002/fes3.151

Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach." Agricultural and Forest Meteorology. 263, pp. 428-448. https://doi.org/10.1016/j.agrformet.2018.09.002

Weekly heat wave death prediction model using zero-inflated regression approach

Kim, Do-Woo, Deo, Ravinesh C., Park, Sang-Jin, Lee, Jong-Seol and Lee, Woo-Seop. 2019. "Weekly heat wave death prediction model using zero-inflated regression approach." Theoretical and Applied Climatology. 137 (1-2), pp. 823-838. https://doi.org/10.1007/s00704-018-2636-9

A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia

Nyamtseren, Mandakh, Feng, Qi and Deo, Ravinesh C.. 2018. "A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia." International Journal of Environmental Research. 12, pp. 887-899. https://doi.org/10.1007/s41742-018-0143-6

Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?

Cao, J. J., Holden, N. M., Adamowski, J. F., Deo, R. C., Xu, X. Y. and Feng, Q.. 2018. "Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?" Environmental Science and Policy. 89, pp. 192-197. https://doi.org/10.1016/j.envsci.2018.08.003

Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2018. "Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management." Weather and Climate Extremes. 21, pp. 76-89. https://doi.org/10.1016/j.wace.2018.07.002

Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment

Yin, Zhenliang, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yang, Linshan, Si, Jianhua and He, Zhibin. 2018. "Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment." Stochastic Environmental Research and Risk Assessment. 32 (9), pp. 2457-2476. https://doi.org/10.1007/s00477-018-1585-2

Mapping hypothermia death vulnerability in Korea

Park, Sang-Jin, Kim, Do-Woo, Deo, Ravinesh C. and Lee, Jong-Seol. 2018. "Mapping hypothermia death vulnerability in Korea." International Journal of Disaster Risk Reduction. 31, pp. 668-678. https://doi.org/10.1016/j.ijdrr.2018.06.016

Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting." Computers and Electronics in Agriculture. 152, pp. 149-165. https://doi.org/10.1016/j.compag.2018.07.013

A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea

Deo, Ravinesh C., Byun, Hi-Ryong, Kim, Ga-Byn and Adamowski, Jan F.. 2018. "A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea." Environmental Monitoring and Assessment. 190 (450). https://doi.org/10.1007/s10661-018-6806-0

Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting." Atmospheric Research. 213, pp. 450-464. https://doi.org/10.1016/j.atmosres.2018.07.005

Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions

Cao, Jianjun, Zhang, Xiaofang, Deo, Ravinesh, Gong, Yifan and Feng, Qi. 2018. "Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions." Land Use Policy: the international journal covering all aspects of land use. 78, pp. 258-265. https://doi.org/10.1016/j.landusepol.2018.07.002

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

Fijani, Elham, Barzegar, Rahim, Deo, Ravinesh, Tziritis, Evangelos and Konstantinos, Skordas. 2019. "Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters." Science of the Total Environment. 648, pp. 839-853. https://doi.org/10.1016/j.scitotenv.2018.08.221

Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model

Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359

Hybrid data intelligent models and applications for water level prediction

Yaseen, Zaher Mundher, Deo, Ravinesh C., Ebtehaj, Isa and Bonakdari, Hossein. 2018. "Hybrid data intelligent models and applications for water level prediction." Kim, Dookie, Roy, Sanjiban Sekhar, Länsivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 121-139

Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models

McCarthy, Elizabeth, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 446-464

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors

Sanikhani, Hadi, Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur, Mert, Chian, Mirabbasi, Rasoul, Gavili, Siavash and Yaseen, Zaher Mundher. 2018. "Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors." Computers and Electronics in Agriculture. 152, pp. 242-260. https://doi.org/10.1016/j.compag.2018.07.008

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition." Geoderma. 330, pp. 136-161. https://doi.org/10.1016/j.geoderma.2018.05.035

Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, An-Vo, Duc-Anh and Khan, Shahjahan. 2018. "Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach." European Journal of Agronomy. 98, pp. 65-81. https://doi.org/10.1016/j.eja.2018.05.006

Non-tuned data intelligent model for soil temperature estimation: a new approach

Sanikhani, Hadi, Deo, Ravinesh C., Yaseen, Zaher Mundheer, Eray, Okan and Kisi, Ozgur. 2018. "Non-tuned data intelligent model for soil temperature estimation: a new approach." Geoderma. 330, pp. 52-64. https://doi.org/10.1016/j.geoderma.2018.05.030

Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models

Deo, Ravinesh C., Salcedo-sanz, Sancho, Carro-Calvo, Leopoldo and Saavedra-Moreno, Beatriz. 2018. "Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models." Samui, Pijush, Kim, Dookie and Ghosh, Chandan (ed.) Integrating disaster science and management. Amsterdam, Netherlands. Elsevier. pp. 151-174

Solar, wind and geothermal energy applications in agriculture: back to the future?

Bundschuh, Jochen, Chen, Guangnan, Tomaszewska, Barbara, Ghaffour, Noreddine, Mushtaq, Shahbaz, Hamawand, Ihsan, Reardon-Smith, Kathryn, Maraseni, Tek, Banhazi, Thomas, Mahmoudi, Hacene, Goosen, Mattheus and Antille, Diogones L.. 2017. "Solar, wind and geothermal energy applications in agriculture: back to the future?" Bundschuh, Jochen, Chen, Guangnan, Chandrasekharam, D. and Piechocki, Janusz (ed.) Geothermal, wind and solar energy applications in agriculture and aquaculture. Leiden, Netherlands. CRC Press. pp. 1-32

Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia

Dayal, Kavina, Deo, Ravinesh and Apan, Armando A.. 2017. "Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia." Filho, Walter Leal (ed.) Climate change adaptation in Pacific countries:fostering resilience and improving the quality of life. Springer. pp. 177-198

Drivers of grassland resistance and recovery to long term drought

Le Brocque, Andrew F, Kath, Jarrod, Reardon-Smith, Kate and Apan, Armando. 2017. "Drivers of grassland resistance and recovery to long term drought." 6th Joint Conference of the Ecological Society of Australia and the New Zealand Ecological Society (EcoTAS 2017). Pokolbin, Australia 26 Nov - 01 Dec 2017

Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012

Chronic groundwater decline: a multi-decadal analysis of groundwater trends under extreme climate cycles

Le Brocque, Andrew F., Kath, Jarrod and Reardon-Smith, Kathryn. 2018. "Chronic groundwater decline: a multi-decadal analysis of groundwater trends under extreme climate cycles." Journal of Hydrology. 561, pp. 976-986. https://doi.org/10.1016/j.jhydrol.2018.04.059

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities

Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003

An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index." Atmospheric Research. 207, pp. 155-180. https://doi.org/10.1016/j.atmosres.2018.02.024

Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China

Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min and Si, Jianhua. 2017. "Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China." Hydrology Research: an international journal. 48 (6), pp. 1710-1729. https://doi.org/10.2166/nh.2016.396

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors." Soil and Tillage Research. 181, pp. 63-81. https://doi.org/10.1016/j.still.2018.03.021

Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau

Cao, Jianjun, Li, Mengtian, Deo, Ravinesh C., Adamowski, Jan F, Cerda, Artemi, Feng, Qi, Liu, Minxia, Zhang, Jian, Zhu, Guofeng, Zhang, Xuebin, Xu, Xueyun, Yang, Shurong and Gong, Yifan. 2018. "Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 74, pp. 88-96. https://doi.org/10.1016/j.landusepol.2017.07.027

Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia." Natural Hazards. 93 (2), pp. 823-847. https://doi.org/10.1007/s11069-018-3326-8

A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm

Rajaee, Taher, Ravansalar, Masoud, Adamowski, Jan F. and Deo, Ravinesh C.. 2018. "A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm." Water, Air and Soil Pollution: an international journal of environmental pollution. 229 (3). https://doi.org/10.1007/s11270-018-3715-3

Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions

Fallah, Seyedeh Narjes, Deo, Ravinesh Chand, Shojafar, Mohammad, Conti, Mauro and Shamshirband, Shahaboddin. 2018. "Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions." Energies. 11 (3). https://doi.org/10.3390/en11030596

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

Al-Musaylh, Mohanad S., Deo, Ravinesh C., Li, Yan and Adamowski, Jan F.. 2018. "Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting." Applied Energy. 217, pp. 422-439. https://doi.org/10.1016/j.apenergy.2018.02.140

Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons

Yaseen, Zaher Mundher, Fu, Minglei, Wang, Chen, Mohtar, Wan Hanna Melini Wan, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons." Water Resources Management. 32 (5), pp. 1883-1899. https://doi.org/10.1007/s11269-018-1909-5

Multi-household grazing management pattern maintains better soil fertility

Cao, Jianjun, Xu, Xueyun, Deo, Ravinesh C., Holden, Nicholas M., Adamowski, Jan F., Gong, Yifan, Feng, Qi, Yang, Shurong, Li, Mengtian, Zhou, Junju, Zhang, Jian and Liu, Minxia. 2018. "Multi-household grazing management pattern maintains better soil fertility." Agronomy for Sustainable Development: sciences des productions vegetales et de l'environnement. 38 (1). https://doi.org/10.1007/s13593-017-0482-2

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2018. "Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 35 (C), pp. 1-16. https://doi.org/10.1016/j.aei.2017.11.002

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

Barzegar, Rahim, Moghaddam, Asghar Asghari, Deo, Ravinesh, Fijani, Elham and Tziritis, Evangelos. 2018. "Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms." Science of the Total Environment. 621, pp. 697-712. https://doi.org/10.1016/j.scitotenv.2017.11.185

Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland." Journal of Hydrologic Engineering. 23 (1), p. 05017029. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001593

An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

Salcedo-sanz, Sancho, Deo, Ravinesh C., Cornejo-Bueno, Laura, Camacho-Gomez, Carlos and Ghimire, Sujan. 2018. "An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia." Applied Energy. 209, pp. 79-94. https://doi.org/10.1016/j.apenergy.2017.10.076

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data

Deo, Ravinesh C., Ghorbani, Mohammad Ali, Samadianfard, Saeed, Maraseni, Tek, Bilgili, Mehmet and Biazar, Mustafa. 2018. "Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data." Renewable Energy. 116 (Part A), pp. 309-323. https://doi.org/10.1016/j.renene.2017.09.078

Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Si, Jianhua, Li, Changbin and Deo, Ravinesh C.. 2017. "Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China." Hydrological Processes. 31 (5), pp. 1100-1112. https://doi.org/10.1002/hyp.11098

Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region

Allawi, Mohammed Falah, Jaafar, Othman, Hamzah, Firdaus Mohamad, Mohd, Nuruol Syuhadaa, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region." Theoretical and Applied Climatology. 134 (1-2), pp. 545-563. https://doi.org/10.1007/s00704-017-2292-5

Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Yaseen, Zaher Mundher and Terz, Ozlem. 2018. "Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey." Stochastic Environmental Research and Risk Assessment. 32 (6), pp. 1683-1697. https://doi.org/10.1007/s00477-017-1474-0

Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran

Ghorbani, M. A., Deo, Ravinesh C., Yaseen, Zaher Mundher, Kashani, Mahsa H. and Mohammadi, Babak. 2018. "Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran." Theoretical and Applied Climatology. 133 (3-4), pp. 1119-1131. https://doi.org/10.1007/s00704-017-2244-0

Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau

Cao, J., Gong, Y., Yeh, E. T., Holden, N. M., Adamowski, J. F., Deo, R. C., Liu, M., Zhou, J., Zhang, J., Zhang, S., Sheng, D., Yang, S., Xu, X., Li, M. and Feng, Q.. 2017. "Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau." Soil Use and Management. 33 (4), pp. 633-671. https://doi.org/10.1111/sum.12387

Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica

Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Yu, Teng Fei, Deo, Ravinesh C. and Luo, Huan. 2018. "Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica." Water Science and Technology: Water Supply. 18 (5), pp. 1747-1756. https://doi.org/10.2166/ws.2017.236

Predicting water allocation trade prices using a hybrid Artificial Neural Network-Bayesian modelling approach

Nguyen-Ky, Tai, Mushtaq, Shahbaz, Loch, Adam, Reardon-Smith, Kate, An-Vo, Duc-Anh, Ngo-Cong, Duc and Tran-Cong, Thanh. 2018. "Predicting water allocation trade prices using a hybrid Artificial Neural Network-Bayesian modelling approach." Journal of Hydrology. 567, pp. 781-791. https://doi.org/10.1016/j.jhydrol.2017.11.049

Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China

Huang, Shan, Feng, Qi, Lu, Zhixiang, Wen, Xiaohu and Deo, Ravinesh C.. 2017. "Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China." Sustainability. 9 (5), pp. 756-772. https://doi.org/10.3390/su9050756

Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City

Deo, Ravinesh C. and Samui, Pijush. 2017. "Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City." Journal of Hydrologic Engineering. 22 (6), pp. 1-15. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001506

Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)

Meshram, Sarita Gajbhiye, Singh, Sudhir Kumar, Meshram, Chandrashekhar, Deo, Ravinesh C. and Ambade, Balram. 2018. "Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)." Theoretical and Applied Climatology. 134, pp. 1231-1243. https://doi.org/10.1007/s00704-017-2335-y

Analysing foregone costs of communities and carbon benefits in small scale community based forestry practice in Nepal

Pandey, Shiva Shankar, Maraseni, Tek Narayan, Reardon-Smith, Kathryn and Cockfield, Geoff. 2017. "Analysing foregone costs of communities and carbon benefits in small scale community based forestry practice in Nepal." Land Use Policy: the international journal covering all aspects of land use. 69, pp. 160-166. https://doi.org/10.1016/j.landusepol.2017.09.007

An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production

Maraseni, Tek Narayan, Deo, Ravinesh C., Qu, Jiansheng, Gentle, Popular and Neupane, Prem Raj. 2018. "An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production." Journal of Cleaner Production. 172, pp. 2288-2300. https://doi.org/10.1016/j.jclepro.2017.11.182

Physiological response to salinity stress and tolerance mechanics of Populus euphratica

Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Deo, Ravinesh C., Yu, Teng Fei and Li, Pei Du. 2017. "Physiological response to salinity stress and tolerance mechanics of Populus euphratica." Environmental Monitoring and Assessment. 189 (11), pp. 533-543. https://doi.org/10.1007/s10661-017-6257-z

Carbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China

Ma, Xiaohong, Feng, Qi, Yu, Tengfei, Su, Yonghong and Deo, Ravinesh C.. 2017. "Carbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China." Forests. 8 (10), pp. 1-17. https://doi.org/10.3390/f8100379

Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China

Yu, Haijiao, Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Si, Jianhua and Wu, Min. 2018. "Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China." Water Resources Management. 32 (1), pp. 301-323. https://doi.org/10.1007/s11269-017-1811-6

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

Yaseen, Zaher Mundher, Deo, Ravinesh C., Hilal, Ameer, Abd, Abbas M., Bueno, Laura Cornejo, Salcedo-sanz, Sancho and Nehdi, Moncef L.. 2018. "Predicting compressive strength of lightweight foamed concrete using extreme learning machine model." Advances in Engineering Software. 115, pp. 112-125. https://doi.org/10.1016/j.advengsoft.2017.09.004

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

Yaseen, Zaher Mundher, Ebtehaj, Isa, Bonakdari, Hossein, Deo, Ravinesh C., Mehr, Ali Danandeh, Mohtar, Wan Hanna Melini Wan, Diop, Lamine, El-Shafie, Ahmed and Singh, Vijay P.. 2017. "Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model." Journal of Hydrology. 554, pp. 263-276. https://doi.org/10.1016/j.jhydrol.2017.09.007

Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Ebtehaj, Isa, Bonakdari, Hossein, Siddique, Ridwan, Heddam, Sali, Yusif, Ali A. and Deo, Ravinesh. 2018. "Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA." Water Resources Management. 32 (1), pp. 105-122. https://doi.org/10.1007/s11269-017-1797-0

Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements

Yeom, Jong-Min, Deo, Ravinesh, Chun, Junghwa, Hong, Jinkyu, Kim, Dong-Su, Han, Kyung-Soo and Cho, Jaeil. 2017. "Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements." International Journal of Remote Sensing. 38 (23), pp. 7441-7456. https://doi.org/10.1080/01431161.2017.1375573

Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Li, Changbin. 2017. "Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau." Advances in Meteorology. 2017, pp. 1-15. https://doi.org/10.1155/2017/6310401

Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes

Wei, Liu, Feng, Qi and Deo, Ravinesh C.. 2018. "Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes." Theoretical and Applied Climatology. 133 (1-2), pp. 405-420. https://doi.org/10.1007/s00704-017-2194-6

Mapping heatwave vulnerability in Korea

Kim, Do-Woo, Deo, Ravinesh C., Lee, Jong-Seol and Yeom, Jong-Min. 2017. "Mapping heatwave vulnerability in Korea." Natural Hazards. 89 (1), pp. 35-55. https://doi.org/10.1007/s11069-017-2951-y

Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones

Nguyen-Huy, Thong, Deo, Ravinesh C., An-Vo, Duc-Anh, Mushtaq, Shahbaz and Khan, Shahjahan. 2017. "Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones." Agricultural Water Management. 191, pp. 153-172. https://doi.org/10.1016/j.agwat.2017.06.010

Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2017. "Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm." Atmospheric Research. 197, pp. 42-63. https://doi.org/10.1016/j.atmosres.2017.06.014

Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle

Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F. and Quilty, John M.. 2017. "Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle." Environmental Research. 155, pp. 141-166. https://doi.org/10.1016/j.envres.2017.01.035

Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China

Zhao, Yu, Feng, Qi, Xi, Haiyang, Li, Huiya, Yang, Huaide and Deo, Ravinesh C.. 2017. "Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China." Chemistry and Ecology. 33 (3), pp. 181-195. https://doi.org/10.1080/02757540.2017.1287904

Medical geology in the framework of the sustainable development goals

Bundschuh, Jochen, Maity, Jyoti Prakash, Mushtaq, Shahbaz Mushtaq, Vithange, Meththika, Seneweera, Saman, Schneider, Jerusa, Bhattacharya, Prosun, Khan, Nasreen Islam, Hamawand, Ihsan, Guilherme, Luiz R. G., Reardon-Smith, Kathryn, Parvez, Faruque, Morales-Simfors, Nury, Ghaze, Sara, Pudmenzky, Christa, Kouadio, Louis and Chen, Chien-Yen. 2017. "Medical geology in the framework of the sustainable development goals." Science of the Total Environment. 581-582, pp. 87-104. https://doi.org/10.1016/j.scitotenv.2016.11.208

Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland

Deo, Ravinesh C. and Sahin, Mehmet. 2017. "Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland." Renewable and Sustainable Energy Reviews. 72, pp. 828-848. https://doi.org/10.1016/j.rser.2017.01.114

Computational intelligence approach for modeling hydrogen production: a review

Faizollahzadeh, Sina, Najafi, Bahman, Shamshirband, Shahaboddin, Bidgoli, Behrouz Minaei, Deo, Ravinesh Chand and Chau, Kwok-wing. 2018. "Computational intelligence approach for modeling hydrogen production: a review." Engineering Applications of Computational Fluid Mechanics. 12 (1), pp. 438-458. https://doi.org/10.1080/19942060.2018.1452296

Estimating the value of conjunctive water use at a system-level using nonlinear programming model

An-Vo, Duc-Anh, Mushtaq, Shahbaz and Reardon-Smith, Kathryn. 2014. "Estimating the value of conjunctive water use at a system-level using nonlinear programming model." 2nd Digital Rural Futures Conference 2014. Toowoomba, Australia 25 - 27 Jun 2014 Australia.

Sweet success: virtual world tools enhance real world decision making in the Australian sugar industry

Reardon-Smith, Kate, Farley, Helen, Cliffe, Neil, Mushtaq, Shahbaz, Stone, Roger, Doyle, Joanne, Martin, Neil, Ostini, Jenny, Maraseni, Tek, Marcussen, Torben, Loch, Adam and Lindesay, Janette. 2014. "Sweet success: virtual world tools enhance real world decision making in the Australian sugar industry." ICELW 2014: International Conference on e-Learning in the Workplace. New York, United States 11 - 13 Jun 2014

Investigating the value of seasonal climate forecast for beef grazing enterprises: Charters Towers case study

An-Vo, Duc-Anh, Reardon-Smith, Kate, Mushtaq, Shahbaz, Cobon, David, Kodur, Shreevatsa and Stone, Roger. 2017. "Investigating the value of seasonal climate forecast for beef grazing enterprises: Charters Towers case study." 19th Biennial Conference of the Australian Rangeland Society. Port Augusta, Australia 25 - 28 Sep 2017 Australia.

Modelling irrigated sugarcane crop under seasonal climate variability: a case study in Burdekin district

An-Vo, D.-A., Mushtaq, S. and Reardon-Smith, K.. 2017. "Modelling irrigated sugarcane crop under seasonal climate variability: a case study in Burdekin district." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Hobart, Tasmania, Australia. Modelling and Simulation Society of Australia and New Zealand .

Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises

McCarthy, E., Deo, R. C., Li, Y. and Maraseni, T.. 2017. "Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Hobart, Tasmania, Australia. Modelling and Simulation Society of Australia and New Zealand .

Savanna burning methodology for fire management and emissions reduction: a critical review of influencing factors

Maraseni, Tek Narayan, Reardon‑Smith, Kathryn, Griffiths, Greg and Apan, Armando. 2016. "Savanna burning methodology for fire management and emissions reduction: a critical review of influencing factors." Carbon Balance and Management. 11, pp. 1-11. https://doi.org/10.1186/s13021-016-0067-4

Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq

Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John and El-Shafie, Ahmed. 2016. "Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq." Journal of Hydrology. 542, pp. 603-614. https://doi.org/10.1016/j.jhydrol.2016.09.035

Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea

Kim, Su-Jeong, Byun, Hi-Ryong and Deo, Ravinesh C.. 2016. "Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea." Asia-Pacific Journal of Atmospheric Sciences. 52 (4), pp. 379-393. https://doi.org/10.1007/s13143-016-0012-1

Developing the capacity of farmers to understand and apply seasonal climate forecasts through collaborative learning processes

Cliffe, Neil, Stone, Roger, Coutts, Jeff, Reardon-Smith, Kathryn and Mushtaq, Shahbaz. 2016. "Developing the capacity of farmers to understand and apply seasonal climate forecasts through collaborative learning processes." Journal of Agricultural Education and Extension: international journal on changes in agricultural knowledge and action systems. 22 (4), pp. 311-325. https://doi.org/10.1080/1389224X.2016.1154473

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

Deo, Ravinesh C. and Sahin, Mehmet. 2016. "An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland." Environmental Monitoring and Assessment. 188 (90). https://doi.org/10.1007/s10661-016-5094-9

Groundwater decline and climatic variability: Implications for groundwater linked agro-ecosystems

Le Brocque, Andrew F., Kath, Jarrod, Reardon-Smith, Kate and Apan, Armando. 2016. "Groundwater decline and climatic variability: Implications for groundwater linked agro-ecosystems." 2016 Conference of the Ecological Society of Australia (ESA 2016). Fremantle, Australia 29 Nov - 02 Dec 2016 Australia.

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F. and Quilty, John M.. 2017. "Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model." Stochastic Environmental Research and Risk Assessment. 31 (5), pp. 1211-1240. https://doi.org/10.1007/s00477-016-1265-z

Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

Deo, Ravinesh C., Kisi, Ogzur and Singh, Vijay P.. 2017. "Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model." Atmospheric Research. 184, pp. 149-175. https://doi.org/10.1016/j.atmosres.2016.10.004

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

Deo, Ravinesh C., Wen, Xiaohu and Feng, Qi. 2016. "A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset." Applied Energy. 168, pp. 568-593. https://doi.org/10.1016/j.apenergy.2016.01.130

Can digital discussion support tools provide cost-effective options for agricultural extension services?

Mushtaq, Shahbaz, Reardon-Smith, Kate, Cliffe, Neil, Ostini, Jenny, Farley, Helen, Doyle, Joanne and Kealley, Matt. 2017. "Can digital discussion support tools provide cost-effective options for agricultural extension services?" Information Technologies and International Development. 13, pp. 52-68.

Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2016. "Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index." 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016). Singapore 22 - 25 Nov 2016 Singapore. https://doi.org/10.1109/TENCON.2016.7848588

Managing pest species under climate change: risks and opportunities

Reardon-Smith, Kathryn M., Stone, Roger C. and Le Brocque, Andrew F.. 2012. "Managing pest species under climate change: risks and opportunities." 4th Queensland Pest Animal Symposium. Caloundra, Queensland 30 Jul - 02 Aug 2012 Queensland, Australia.

Estimating the value of conjunctive water use at a system-level using nonlinear programing model

An-Vo, Duc-Anh, Mushtaq, Shahbaz and Reardon-Smith, Kathryn. 2015. "Estimating the value of conjunctive water use at a system-level using nonlinear programing model." Journal of Economic and Social Policy. 17 (2), pp. [163]-[182].

Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria

Mouatadid, Soukayna, Deo, Ravinesh C. and Adamowski, Jan F.. 2015. "Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 United States. https://doi.org/10.1109/ICMLA.2015.87

Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India

Shukla, Rituraj, Deo, Ravinesh and Khare, Deepak. 2015. "Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 USA. https://doi.org/10.1109/ICMLA.2015.75

Trade-offs and synergies between water and energy use in rural Australia

Mushtaq, Shahbaz, Maraseni, Tek N. and Reardon-Smith, Kathryn. 2015. "Trade-offs and synergies between water and energy use in rural Australia." Pittock, Jamie, Hussey, Karen and Dovers, Stephen (ed.) Climate, energy and water: managing trade-offs, seizing opportunities. New York, USA. Cambridge University Press. pp. 123-140

Groundwater salinization intensifies drought impacts in forests and reduces refuge capacity

Kath, Jarrod, Powell, Sue, Reardon-Smith, Kathryn, El Sawah, Sondoss, Jakeman, Anthony J., Croke, Barry F.W. and Dyer, Fiona J.. 2015. "Groundwater salinization intensifies drought impacts in forests and reduces refuge capacity." Journal of Applied Ecology. 52 (5), pp. 1116-1125. https://doi.org/10.1111/1365-2664.12495

Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms

Salcedo-sanz, S., Deo, R. C., Carro-Calvo, L. and Saavedra-Moreno, B.. 2016. "Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms." Theoretical and Applied Climatology. 125 (1-2), pp. 13-25. https://doi.org/10.1007/s00704-015-1480-4

Projection of heat wave mortality related to climate change in Korea

Kim, Do-Woo, Deo, Ravinesh C., Chung, Jea-Hak and Lee, Jong-Seol. 2016. "Projection of heat wave mortality related to climate change in Korea." Natural Hazards. 80 (1), pp. 623-637. https://doi.org/10.1007/s11069-015-1987-0

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

Deo, Ravinesh C., Samui, Pijush and Kim, Dookie. 2016. "Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models." Stochastic Environmental Research and Risk Assessment. 30 (6), pp. 1769-1784. https://doi.org/10.1007/s00477-015-1153-y

Nonlinear Optimisation Using Production Functions to Estimate Economic Benefit of Conjunctive Water Use for Multicrop Production

An-Vo, D.-A., Mushtaq, S., Nguyen-Ky, T., Bundschuh, J., Tran-Cong, T., Maraseni, T. N. and Reardon-Smith, K.. 2015. "Nonlinear Optimisation Using Production Functions to Estimate Economic Benefit of Conjunctive Water Use for Multicrop Production." Water Resources Management. 29 (7), pp. 2153-2170. https://doi.org/10.1007/s11269-015-0933-y

Numerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers

Mossad, Ruth and Deo, Ravinesh C.. 2015. "Numerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers." Solnordal, C. B., Liovic, P., Delaney, G. W., Cummins, S. J., Schwarz, M. P. and Witt, P. J. (ed.) 11th International Conference on CFD in the Minerals and Process Industries. Melbourne, Australia 07 - 09 Dec 2015 Melbourne, Australia.

Virtual discussions to support climate risk decision making on farms

Reardon-Smith, Kate, Mushtaq, Shahbaz, Farley, Helen S., Cliffe, Neil, Stone, Roger C., Ostini, Jenny, Doyle, Joanne, Martin, Neil, Loch, Adam, Maraseni, Tek, Marcussen, Torben and Lindesay, Janette. 2015. "Virtual discussions to support climate risk decision making on farms." Journal of Economic and Social Policy. 17 (2).

Putting virtual worlds to work to support improved climate risk decision-making on real world farms

Reardon-Smith, Kate, Mushtaq, Shahbaz, Stone, Roger, Cliffe, Neil, Farley, Helen, Ostini, Jenny, Doyle, Joanne, Martin, Neil and Loch, Adam. 2015. "Putting virtual worlds to work to support improved climate risk decision-making on real world farms." 2nd International Conference on Global Food Security. Cornell University, Ithaca, United States 11 - 14 Oct 2015

On the new concept of the available water climatology and its application

Byun, H. R., Kim, D. W., Choi, K. S., Deo, R. C., Lee, S. M., Park, C. K., Kwon, S. H., Kim, G. B. and Kwon, H. N.. 2014. "On the new concept of the available water climatology and its application." American Geophysical Union, Fall Meeting 2014. San Francisco, United States 15 - 19 Dec 2014 San Francisco, USA.

A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events

Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Kim, Do-Woo. 2015. "A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events." Water Resources Management. 29 (11), pp. 4075-4093. https://doi.org/10.1007/s11269-015-1046-3

Groundwater governance in a water-starved country: public policy, farmers' perceptions and drivers of tubewell adoption in Balochistan, Pakistan

Khair, Syed Mohammad, Mushtaq, Shahbaz and Reardon-Smith, Kathryn. 2015. "Groundwater governance in a water-starved country: public policy, farmers' perceptions and drivers of tubewell adoption in Balochistan, Pakistan." Ground Water. 53 (4), pp. 626-637. https://doi.org/10.1111/gwat.12250

Groundwater thresholds for drought resilience in floodplain woodlands: a case study from the northern Murray-Darling Basin

Kath, Jarrod, Reardon-Smith, Kate, Le Brocque, Andy and Dyer, Fiona. 2014. "Groundwater thresholds for drought resilience in floodplain woodlands: a case study from the northern Murray-Darling Basin." Climate Adaptation (NCCARF 2014): Future Challenges. Gold Coast, Australia 30 Sep - 02 Oct 2014 Gold Coast, Australia.

Virtual world technologies to enhance climate risk management on Australian sugar cane farms

Reardon-Smith, Kate, Mushtaq, Shahbaz, Stone, Roger, Cliffe, Neil, Farley, Helen, Ostini, Jenny, Doyle, Joanne, Martin, Neil, Maraseni, Tek, Marcussen, Torben, Loch, Adam and Lindesay, Janette. 2014. "Virtual world technologies to enhance climate risk management on Australian sugar cane farms." Climate Adaptation (NCCARF 2014): Future Challenges. Gold Coast, Australia 30 Sep - 02 Oct 2014 Gold Coast, Australia.

Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia

Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia." Atmospheric Research. 161-162, pp. 65-81. https://doi.org/10.1016/j.atmosres.2015.03.018

Integrated assessment of water-energy-GHG emissions tradeoffs in an irrigated lucerne production system in eastern Australia

Mushtaq, S., Maraseni, T. N., Reardon-Smith, K., Bundschuh, J. and Jackson, T.. 2015. "Integrated assessment of water-energy-GHG emissions tradeoffs in an irrigated lucerne production system in eastern Australia." Journal of Cleaner Production. 103, pp. 491-498. https://doi.org/10.1016/j.jclepro.2014.05.037

Identifying groundwater thresholds for drought resilience in floodplain tree species in the northern Murray-Darling Basin

Reardon-Smith, Kate, Kath, Jarrod, Le Brocque, Andy and Dyer, Fiona. 2014. "Identifying groundwater thresholds for drought resilience in floodplain tree species in the northern Murray-Darling Basin." Andersen, Alan (ed.) 2014 Conference of the Ecological Society of Australia (ESA 2014). Alice Springs, Australia 28 Sep - 03 Oct 2014 Canberra, Australia.

Lippia (Phyla canescens) and its response to fire

Galea, Lucy, Le Brocque, Andy and Reardon-Smith, Kate. 2014. "Lippia (Phyla canescens) and its response to fire." Andersen, Alan (ed.) 2014 Conference of the Ecological Society of Australia (ESA 2014). Alice Springs, Australia 28 Sep - 03 Oct 2014 Canberra, Australia.

Re-evaluating the rationale for irrigation technology adoption through an integrated trade-off analysis: case study of a cotton farming system in Australia

Maraseni, T. N., Mushtaq, S. and Reardon-Smith, K.. 2014. "Re-evaluating the rationale for irrigation technology adoption through an integrated trade-off analysis: case study of a cotton farming system in Australia." Journal of Water and Climate Change. 5 (3), pp. 328-340. https://doi.org/10.2166/wcc.2014.046

Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation

Deo, R. C., Byun, H. R., Adamowski, J. F. and Kim, D. W.. 2014. "Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation." International Conference on Analysis and Management of Changing Risks for Natural Hazards (2014). Padua, Italy Padua, Italy.

Groundwater decline drives riparian woodland dysfunction in a northern Murray-Darling intensive production landscape

Reardon-Smith, K. M., Le Brocque, A. F. and House, A. P. N.. 2011. "Groundwater decline drives riparian woodland dysfunction in a northern Murray-Darling intensive production landscape." Bird, Michael and Simmons, Craig (ed.) 4th Australasian Hydrogeology Research Conference. Cairns, Australia 12 - 14 Jul 2011 Adelaide, Australia.

Using stable isotopes to identify soil moisture sources of key species in riparian woodlands of the northern Murray-Darling Basin

Reardon-Smith, K. M., Le Brocque, A. F., Hollins, S. and Silburn, D. M.. 2011. "Using stable isotopes to identify soil moisture sources of key species in riparian woodlands of the northern Murray-Darling Basin." 11th Australasian Environmental Isotope Conference. Cairns, Australia 12 - 14 Jul 2011 Adelaide, Australia.

The development of virtual world tools to enhance learning and real world decision making in the Australian sugar farming industry

Reardon-Smith, Kathryn, Farley, Helen, Cliffe, Neil, Mushtaq, Shahbaz, Stone, Roger, Doyle, Joanne, Martin, Neil, Ostini, Jenny, Maraseni, Tek, Marcussen, Torben, Loch, Adam and Lindesay, Janette. 2014. "The development of virtual world tools to enhance learning and real world decision making in the Australian sugar farming industry." International Journal of Advanced Corporate Learning. 7 (3), pp. 17-23. https://doi.org/10.3991/ijac.v7i3.4002

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia." Atmospheric Research. 153, pp. 512-525. https://doi.org/10.1016/j.atmosres.2014.10.016

Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea

Park, Chang-Kyun, Byun, Hi-Ryong, Deo, Ravinesh and Lee, Bo-Ra. 2015. "Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea." Journal of Hydrology. 526, pp. 221-230. https://doi.org/10.1016/j.jhydrol.2014.10.043

Groundwater depth thresholds for tree condition

Kath, Jarrod, Reardon-Smith, Kate, Le Brocque, Andi, Dafny, Elad, Dyer, Fiona, Fritz, L. and Batterham, Megan. 2013. "Groundwater depth thresholds for tree condition." 52nd Australian Society for Limnology Congress (ASL 2013): From Theory to Practice in Water Science. Canberra, Australia 02 - 05 Dec 2013 Canberra, Australia.

Groundwater decline and tree change in floodplain landscapes: identifying non-linear threshold responses in canopy condition

Kath, J., Reardon-Smith, K., Le Brocque, A. F., Dyer, F. J., Dafny, E., Fritz, L. and Batterham, M.. 2014. "Groundwater decline and tree change in floodplain landscapes: identifying non-linear threshold responses in canopy condition." Global Ecology and Conservation. 2, pp. 148-160. https://doi.org/10.1016/j.gecco.2014.09.002

Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet

Liu, Y., Zhang, J., Deo, R., Mi, J., Nathan, G. J. and Zhu, R.. 2014. "Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet." Experimental Thermal and Fluid Science. 58, pp. 139-144. https://doi.org/10.1016/j.expthermflusci.2014.06.021

Using a virtual world to enable real world decision making

Reardon-Smith, Kate, Farley, Helen, Stone, Roger, Mushtaq, Shahbaz, Cliffe, Neil, Doyle, Joanne, Martin, Neil, Maraseni, Tek, Marcussen, Torben, Lindesay, Janette, Loch, Adam and Kealley, Matt. 2013. "Using a virtual world to enable real world decision making." Lamb, David (ed.) 1st Digital Rural Futures Conference: Smart Farms - Smart Regions (DRF 2013). Armidale, Australia 26 - 28 Jun 2013 Armidale, Australia.

Extending extension: virtual shed meetings in a digital age

Farley, Helen, Reardon-Smith, Kate, Mushtaq, Shahbaz, Cliffe, Neil, Lindesay, Janette and Loch, Adam. 2013. "Extending extension: virtual shed meetings in a digital age." Lamb, David (ed.) 1st Digital Rural Futures Conference: Smart Farms - Smart Regions (DRF 2013). Armidale, Australia 26 - 28 Jun 2013 Armidale, Australia.

Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle

Deo, Ravinesh C.. 2013. "Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1471-1480.

The role of nozzle-exit conditions on the flow field of a plane jet

Deo, Ravinesh C.. 2013. "The role of nozzle-exit conditions on the flow field of a plane jet." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1059-1069.

Correlations between physical and chemical defences in plants: tradeoffs, syndromes, or just many different ways to skin a herbivorous cat?

Moles, Angela T., Peco, Begona, Wallis, Ian R., Foley, William J., Poore, Alistair G.B., Seabloom, Eric W., Vesk, Peter A., Bisigato, Alejandro J., Cella-Pizarro, Lucrecia, Clark, Connie J., Cohen, Philippe S., Cornwell, William K., Edwards, Will, Ejrnaes, Rasmus, Gonzales-Ojeda, Therany, Graae, Bente J., Hay, Gregory, Lumbwe, Fainess C., Magana-Rodriguez, Benjamın, ..., Hui, Francis K. C.. 2013. "Correlations between physical and chemical defences in plants: tradeoffs, syndromes, or just many different ways to skin a herbivorous cat?" New Phytologist. 198 (1), pp. 252-263. https://doi.org/10.1111/nph.12116

A blueprint for sustainable groundwater management in Balochistan, Pakistan

Mushtaq, Shahbaz, Reardon-Smith, Kathryn, Stone, Roger and Khair, Syed Mohammad. 2013. "A blueprint for sustainable groundwater management in Balochistan, Pakistan." Griffiths, Jacqui and Lambert, Rebecca (ed.) Free flow: reaching water security through cooperation . Paris, France. Unesco. pp. 222-224

Trialling a web-based 'discussion-support' tool in the Australian sugar industry: stakeholder responses are encouraging

Cliffe, Neil, Stone, Roger, Coutts, Jeff, Mushtaq, Shahbaz and Reardon-Smith, Kathryn. 2013. "Trialling a web-based 'discussion-support' tool in the Australian sugar industry: stakeholder responses are encouraging." Westbrooke, Victoria (ed.) Australia-Pacific Extension Network International Conference (APEN ICNZ 2013): Transformative Change: Chosen or Unchosen Pathways to Innovation, Resilience and Prosperity . Christchurch, New Zealand 26 - 28 Aug 2013

A rural agricultural-sustainable energy community model and its application to Felton Valley, Australia

Berrill, T., Reardon-Smith, K., McCreath, R., Mushtaq, S. and Bundschuh, J.. 2013. "A rural agricultural-sustainable energy community model and its application to Felton Valley, Australia ." Yan, J. (ed.) 5th International Conference on Applied Energy (ICAE 2013). Pretoria, South Africa 01 - 04 Jul 2013

Identifying and managing key weed threats, their sources and vectors, in relation to priority remnant ecosystems in the Condamine catchment

Reardon-Smith, K.. 2009. Identifying and managing key weed threats, their sources and vectors, in relation to priority remnant ecosystems in the Condamine catchment.

The tradeoffs between water savings and GHG emissions in irrigated agriculture

Mushtaq, Shahbaz, Maraseni, Tek and Reardon-Smith, Kate. 2013. "The tradeoffs between water savings and GHG emissions in irrigated agriculture." Quarisa, Iva (ed.) Irrigation Australia Regional Conference 2013: Sharing Irrigation Knowledge for Better Outcomes. Griffith, Australia 28 - 30 May 2013 Sydney, Australia.

Climate change and water security: estimating the greenhouse gas costs of achieving water security through investments in modern irrigation technology

Mushtaq, S., Maraseni, T. N. and Reardon-Smith, K.. 2013. "Climate change and water security: estimating the greenhouse gas costs of achieving water security through investments in modern irrigation technology." Agricultural Systems. 117, pp. 78-89. https://doi.org/10.1016/j.agsy.2012.12.009

Sweet success: making machinima to engage sugarcane farmers in discussions about climate risk

Farley, Helen and Reardon-Smith, Kate. 2012. "Sweet success: making machinima to engage sugarcane farmers in discussions about climate risk." 2012 Apple University Consortuim CreateWorld Conference: Developing People Who Use and Support Apple Technology in Higher Education. Brisbane, Australia 05 - 07 Dec 2012 Australia.

Modelling impacts of vegetation cover change on regional climate

McAlpine, Clive A., Syktus, Jozef I., Deo, Ravinesh C., Lawrence, Peter J., McGowan, Hamish A., Watterson, Ian G. and Phinn, Stuart R.. 2009. Modelling impacts of vegetation cover change on regional climate. Canberra, Australia. Land and Water Australia.

Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers

Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2013. "Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers." Physics of Fluids. 25 (1), pp. 015115-1. https://doi.org/10.1063/1.4776782

Integrated analysis for a carbon- and water-constrained future: an assessment of drip irrigation in a lettuce production system in eastern Australia

Maraseni, T. N., Mushtaq, S. and Reardon-Smith, K.. 2012. "Integrated analysis for a carbon- and water-constrained future: an assessment of drip irrigation in a lettuce production system in eastern Australia." Journal of Environmental Management. 111, pp. 220-226. https://doi.org/10.1016/j.jenvman.2012.07.020

Predictive modelling of riparian woodland response to altered and novel disturbances in multi-use production landscapes

Reardon-Smith, K. M. and Le Brocque, A. F.. 2012. "Predictive modelling of riparian woodland response to altered and novel disturbances in multi-use production landscapes." Lepetit, Julien (ed.) Water and Climate: Policy Implementation Challenges - 2nd Practical Responses to Climate Change Conference 2012. Canberra, Australia 01 - 03 May 2012 Canberra, Australia.

Climate change, water security and the need for integrated policy development: the case of on-farm infrastructure investment in the Australian irrigation sector

Maraseni, T. N., Mushtaq, S. and Reardon-Smith, K.. 2012. "Climate change, water security and the need for integrated policy development: the case of on-farm infrastructure investment in the Australian irrigation sector." Environmental Research Letters. 7 (3), pp. 1-12. https://doi.org/10.1088/1748-9326/7/3/034006

Putting plant resistance traits on the map: a test of the idea that plants are better defended at lower latitudes

Moles, Angela T., Wallis, Ian R., Foley, William J., Warton, David I., Stegen, James C., Bisigato, Alejandro J., Cella-Pizarro, Lucrecia, Clark, Connie J., Cohen, Philippe S., Cornwell, William K., Edwards, Will, Ejrnaes, Rasmus, Gonzales-Ojeda, Therany, Graae, Bente J., Hay, Gregory, Lumbwe, Fainess C., Magana-Rodriguez, Benjamin, Moore, Ben D., Peri, Pablo L., ..., Prior, Lynda D.. 2011. "Putting plant resistance traits on the map: a test of the idea that plants are better defended at lower latitudes." New Phytologist. 191 (3), pp. 777-788. https://doi.org/10.1111/j.1469-8137.2011.03732.x

On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study

Deo, Ravinesh C.. 2011. "On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study." Meteorological Applications. 18 (2), pp. 171-180. https://doi.org/10.1002/met.216

Using stable isotopes to identify soil moisture sources of key species in drought-stressed riparian woodlands

Reardon-Smith, Kate, Le Brocque, Andy, Hollins, Suzanne and Silburn, Mark. 2011. "Using stable isotopes to identify soil moisture sources of key species in drought-stressed riparian woodlands." 2011 Conference of the Ecological Society of Australia (ESA 2011). Hobart, Australia 21 - 25 Nov 2011 Australia. Ecological Society of Australia.

Modelling riparian woodland response to altered and novel disturbance regimes in production landscapes

Reardon-Smith, Kate, Le Brocque, Andy and House, Alan. 2011. "Modelling riparian woodland response to altered and novel disturbance regimes in production landscapes." 2011 Conference of the Ecological Society of Australia (ESA 2011). Hobart, Australia 21 - 25 Nov 2011 Australia. Ecological Society of Australia.

Dynamics of precipitation climatology of the Southwest Pacific Region

Deo, Ravinesh Chand. 2001. Dynamics of precipitation climatology of the Southwest Pacific Region. Masters Thesis Master of Science (Research). University of Canterbury, New Zealand.

Impact of altered flow regimes and weed invasion on riparian communities in the Condamine catchment, south-east Queensland

Reardon-Smith, Kate, Zammit, Charlie and Le Brocque, Andy. 2004. "Impact of altered flow regimes and weed invasion on riparian communities in the Condamine catchment, south-east Queensland." 2004 Conference of the Ecological Society of Australia (ESA 2004). Adelaide, South Australia 07 - 10 Dec 2004 Brisbane, Australia. Ecological Society of Australia.

Disturbance and resilience of floodplain woodlands in a production landscape

Reardon-Smith, Kathryn, Le Brocque, Andrew F. and House, Alan. 2009. "Disturbance and resilience of floodplain woodlands in a production landscape." 10th International Congress of Ecology: Ecology in a Changing Environment. Brisbane, Australia 16 - 21 Aug 2009 Australia.

Riparian woodlands in crisis? Disturbance ecology on the Condamine floodplain

Reardon-Smith, Kathryn, Le Brocque, Andrew F. and House, Alan. 2008. "Riparian woodlands in crisis? Disturbance ecology on the Condamine floodplain." 11th International Riversymposium: A Future of Extremes. Brisbane, Australia 01 - 04 Sep 2008 Brisbane, Australia.

Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events

Deo, Ravinesh C.. 2004. "Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.

Designing an evaluation of a tertiary preparatory program within the university context

Deo, Ravinesh. 2011. "Designing an evaluation of a tertiary preparatory program within the university context." PAMA 2011: Global Educators for Contemporary Learning Communities. Toowoomba, Australia 30 May - 10 Jun 2011 Toowoomba, Australia.

Modeling the impact of historical land cover change on Australia's regional climate

McAlpine, C. A., Syktus, J., Deo, R. C., Lawrence, P. J., McGowan, H. A., Watterson, I. G. and Phinn, Stuart. 2007. "Modeling the impact of historical land cover change on Australia's regional climate." Geophysical Research Letters. 34 (22), pp. L22711-1. https://doi.org/10.1029/2007GL031524

Impacts of land use/land cover change on climate and future research priorities

Mahmood, Rezaul, Pielke, Roger A., Hubbard, Kenneth G., Niyogi, Dev, Bonan, Gordon, Lawrence, Peter, McNider, Richard, McAlpine, Clive, Etter, Andres, Gameda, Samuel, Qian, Budong, Carleton, Andrew, Beltran-Przekurat, Adriana, Chase, Thomas, Quintanar, Arturo I., Adegoke, Jimmy O., Vezhapparambu, Sajith, Conner, Glen, Asefi, Salvi, ..., Syktus, Jozef. 2010. "Impacts of land use/land cover change on climate and future research priorities." Bulletin of the American Meteorological Society. 91 (1), pp. 37-46. https://doi.org/10.1175/2009BAMS2769.1

On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area

Deo, Ravinesh C., Nathan, Graham Jerold and Mi, Jianchun. 2010. "On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area." Mallinson, G. D. and Cater, J. E. (ed.) 17th Australasian Fluid Mechanics Conference (AFMC 2010). Auckland, New Zealand 05 - 09 Dec 2010 Auckland, New Zealand.

Riparian woodland dysfunction is driven by groundwater decline in a northern Murray-Darling intensive production landscape

Reardon-Smith, Kate, Le Brocque, Andy and House, Alan. 2010. "Riparian woodland dysfunction is driven by groundwater decline in a northern Murray-Darling intensive production landscape." 2010 Conference of the Ecological Society of Australia (ESA 2010). Canberra, Australia 06 - 10 Dec 2010 Australia. Ecological Society of Australia.

Links between native forest and climate in Australia

Deo, Ravinesh C.. 2011. "Links between native forest and climate in Australia." Weather. 66 (3), pp. 64-69. https://doi.org/10.1002/wea.659

Disturbance and resilience in riparian woodlands on the highly modified Upper Condamine floodplain

Reardon-Smith, Kathryn Mary. 2011. Disturbance and resilience in riparian woodlands on the highly modified Upper Condamine floodplain. PhD Thesis Doctor of Philosophy. University of Southern Queensland.

The simulated impact of land cover change on climate extremes in eastern Australia

Deo, R. C., Syktus, J. I., McAlpine, C. A. and Wong, K. K.. 2009. "The simulated impact of land cover change on climate extremes in eastern Australia." Anderssen, R. S., Braddock, R. D. and Newham, L. T. H. (ed.) 18th World IMACS Congress and International Congress on Modelling and Simulation. Cairns, Australia 13 - 17 Jul 2009 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .

Effect of exit Reynolds number on self-preservation of a plane jet

Mi, Jianchun, Feng, Baoping, Deo, Ravinesh C. and Nathan, Graham J.. 2009. "Effect of exit Reynolds number on self-preservation of a plane jet." Chinese Physics B. 58 (11), pp. 7756-7764.

A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate

McAlpine, C. A., Syktus, J., Ryan, J. G., Deo, R. C., McKeon, G. M., McGowan, H. A. and Phinn, S. R.. 2009. "A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate." Global Change Biology. 15 (9), pp. 2206-2223. https://doi.org/10.1111/j.1365-2486.2009.01939.x

Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia

Deo, R. C., Syktus, J. I., McAlpine, C. A., Lawrence, P. J., McGowan, H. A. and Phinn, S. R.. 2009. "Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia." Geophysical Research Letters. 36 (8), pp. 1-5. https://doi.org/10.1029/2009GL037666

On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005

Deo, R. C., McAlpine, C. A., Syktus, J., McGowan, H. A. and Phinn, S.. 2007. "On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .

Impact of land cover change on regional climate and El Nino in Australia

Syktus, J., Deo, R. C., McAlpine, C. A., McGowan, H. A. and Phinn, S.. 2007. "Impact of land cover change on regional climate and El Nino in Australia." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .

Experimental investigations of the effect of Reynolds number on a plane jet

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "Experimental investigations of the effect of Reynolds number on a plane jet." Jacobs, Peter A., McIntyre, Tim, Cleary, Matthew J., Buttsworth, David R., Mee, David, Clements, Rose, Morgan, Richard and Lemckert, Charles (ed.) 16th Australasian Fluid Mechanics Conference (AFMC 2007). Gold Coast, Australia 03 - 07 Dec 2007 Brisbane, Australia.

Richness, complexity & condition of remnants in the eastern Darling Downs, Queensland

Le Brocque, Andrew F., Zammit, Charlie and Reardon-Smith, Kathryn. 2003. "Richness, complexity & condition of remnants in the eastern Darling Downs, Queensland." Oliver, Ian, Kristiansen, Paul and Silberbauer, Letitia (ed.) 2003 Conference of the Ecological Society of Australia (ESA 2003). Armidale, Australia 08 - 10 Dec 2003 Brisbane, Queensland, Australia. Ecological Society of Australia.

The influence of Reynolds number on a plane jet

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2008. "The influence of Reynolds number on a plane jet." Physics of Fluids. 20 (7), pp. 075108-1. https://doi.org/10.1063/1.2959171

The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet." Experimental Thermal and Fluid Science. 32 (2), pp. 545-559. https://doi.org/10.1016/j.expthermflusci.2007.06.004

The influence of nozzle aspect ratio on plane jets

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle aspect ratio on plane jets." Experimental Thermal and Fluid Science. 31 (8), pp. 825-838. https://doi.org/10.1016/j.expthermflusci.2006.08.009

Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji

Kumar, Vickal V., Deo, Ravinesh C. and Ramachandran, Visagaperuman. 2006. "Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji." Atmospheric Science Letters. 7 (3), pp. 53-58. https://doi.org/10.1002/asl.131

Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales

Mi, Jianchun, Deo, Ravinesh C. and Nathan, Graham J.. 2005. "Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales." Physical Review E. 71 (6), pp. 1-5. https://doi.org/10.1103/PhysRevE.71.066304

Characterization of turbulent jets from high-aspect-ratio rectangular nozzles

Mi, J., Deo, R. C. and Nathan, G. J.. 2005. "Characterization of turbulent jets from high-aspect-ratio rectangular nozzles." Physics of Fluids. 17 (6), pp. 1-4. https://doi.org/10.1063/1.1928667

An investigation on rainfall patterns and the general circulation in the southwest Pacific region

Deo, Ravinesh C.. 2004. "An investigation on rainfall patterns and the general circulation in the southwest Pacific region." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.

Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls

Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2007. "Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls." Experimental Thermal and Fluid Science. 32 (2), pp. 596-606. https://doi.org/10.1016/j.expthermflusci.2007.06.009

Dependence of a plane turbulent jet on its nozzle contraction profile

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2005. "Dependence of a plane turbulent jet on its nozzle contraction profile." Jets, Wakes and Separated Flows: International Conference on Jets, Wakes and Separated Flows (ICJWSF) (2005). Mie, Japan 05 - 08 Oct 2005 Mie, Japan.

An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet

Deo, R. C., Mi, J. and Nathan, G. J.. 2004. "An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet." Behnia, M., Lin, W. and McBain, G. D. (ed.) 15th Australasian Fluid Mechanics Conference (AFMC 2004). Sydney, Australia 13 - 17 Dec 2004 Sydney, Australia.

Declining birds in Australian agricultural landscapes may benefit from aspects of the European agri-environment model

Attwood, Simon J., Park, Sarah E., Maron, Martine, Collard, Stuart J., Robinson, Doug, Reardon-Smith, Kathryn M. and Cockfield, Geoff. 2009. "Declining birds in Australian agricultural landscapes may benefit from aspects of the European agri-environment model ." Biological Conservation. 142 (10), pp. 1981-1991. https://doi.org/10.1016/j.biocon.2009.04.008

Landscape ecology theory does not apply to recruitment in Eucalyptus populnea woodlands

Batterham, Megan C., Le Brocque, Andrew F. and Reardon-Smith, Kathryn. 2008. "Landscape ecology theory does not apply to recruitment in Eucalyptus populnea woodlands." 2008 Conference of the Ecological Society of Australia (ESA 2008). Sydney, Australia 01 - 05 Dec 2008 Australia. Ecological Society of Australia.

Change is the new stability: disturbance and riparian woodlands in a production landscape

Reardon-Smith, Kathryn, Le Brocque, Andrew F. and House, Alan. 2008. "Change is the new stability: disturbance and riparian woodlands in a production landscape." 2008 Conference of the Ecological Society of Australia (ESA 2008). Sydney, Australia 01 - 05 Dec 2008 Australia. Ecological Society of Australia.

Predictive mapping of blackberry in the Condamine Catchment using logistic regression and spatial analysis

Apan, Armando, Wells, N., Reardon-Smith, Kathryn, Richardson, L., McDougall, Kevin and Basnet, Badri Bahadur. 2008. "Predictive mapping of blackberry in the Condamine Catchment using logistic regression and spatial analysis." McDougall, Kevin (ed.) Queensland Spatial Conference 2008. Surfers Paradise, Australia 17 - 19 Jul 2008 Brisbane, Australia.

Arresting woodland bird decline in Australian agricultural landscapes: potential application of the European agri-environment model

Park, S. E., Attwood, S. J., Maron, M., Collard, S. J. and Reardon-Smith, K.. 2007. "Arresting woodland bird decline in Australian agricultural landscapes: potential application of the European agri-environment model." Jongman, Rob and Bunce, R. G. H. (ed.) IALE 2007: 25 Years Landscape Ecology: Scientific Principles in Practice. Wageningen, Netherlands 08 - 12 Jul 2007 Wageningden, Netherlands.

Vegetation community responses to altered flow regimes and weed invasion in reparian woodlands of the upper condamine floodplain, Eastern Australia

Reardon-Smith, Kathryn, Le Brocque, Andrew F., House, Alan and Zammit, Charlie. 2005. "Vegetation community responses to altered flow regimes and weed invasion in reparian woodlands of the upper condamine floodplain, Eastern Australia." Miller, Craig (ed.) 2005 Conference of the Ecological Society of Australia (ESA 2005). Brisbane, Australia 28 Nov - 02 Dec 2005 Brisbane, Queensland, Australia. Ecological Society of Australia.