37. Earth Sciences
Title | 37. Earth Sciences |
---|---|
Parent | ANZSRC Field of Research |
Latest research outputs
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Responding to climate change: the contribution of Maharishi Vedic Science
Wells, Geoffrey, Fergusson, Lee, Kettle, David and Bonshek, Anna. 2017. "Responding to climate change: the contribution of Maharishi Vedic Science." Journal of Health and Environmental Research. 3 (3-1), pp. 63-78. https://doi.org/10.11648/j.jher.s.2017030301.15Article
Geospatial crowdsourced data fitness analysis for spatial data infrastructure based disaster management actions
Koswatte, Saman. 2017. Geospatial crowdsourced data fitness analysis for spatial data infrastructure based disaster management actions . PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5c09fc67f0cd3PhD Thesis
Return period and Pareto analyses of 45 years of tropical cyclone data (1970-2014) in the Philippines
Espada, Rudolf. 2018. "Return period and Pareto analyses of 45 years of tropical cyclone data (1970-2014) in the Philippines." Applied Geography. 97, pp. 228-247. https://doi.org/10.1016/j.apgeog.2018.04.018Article
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.2018.05.035Article
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.2018.05.030Article
Investigation of correlation of broadband UVA reflection to broadband visible reflection for a variety of surfaces in the built environment
Turner, Joanna and Parisi, Alfio V.. 2018. "Investigation of correlation of broadband UVA reflection to broadband visible reflection for a variety of surfaces in the built environment." Building and Environment. 136, pp. 259-268. https://doi.org/10.1016/j.buildenv.2018.03.062Article
Australian rainfall trends and their relation to the southern oscillation index
Chowdhury, R. K. and Beecham, S.. 2010. "Australian rainfall trends and their relation to the southern oscillation index." Hydrological Processes. 24 (4), pp. 504-514. https://doi.org/10.1002/hyp.7504Article
Temporal characteristics and variability of point rainfall: a statistical and wavelet analysis
Beecham, S. and Chowdhury, R. K.. 2010. "Temporal characteristics and variability of point rainfall: a statistical and wavelet analysis." International Journal of Climatology. 30 (3), pp. 458-473. https://doi.org/10.1002/joc.1901Article
Influence of SOI, DMI and Niño3.4 on South Australian rainfall
Chowdhury, Rezaul K. and Beecham, Simon. 2013. "Influence of SOI, DMI and Niño3.4 on South Australian rainfall." Stochastic Environmental Research and Risk Assessment. 27 (8), pp. 1909-1920. https://doi.org/10.1007/s00477-013-0726-xArticle
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. 177-198Edited book (chapter)
The inverse relationship between the incidence of solar induced eye disease and reported skin cancer rates at high elevation in the tropical Andes, Ecuador, South America
Downs, Nathan J., Garzon Chavez, Daniel R., Quentin, Emmanuelle, Harrison, Simone L., Parisi, Alfio V. and Butler, Harry. 2018. "The inverse relationship between the incidence of solar induced eye disease and reported skin cancer rates at high elevation in the tropical Andes, Ecuador, South America." 4th International Conference on UV & Skin Cancer Prevention 2018. Toronto, Canada 01 - 04 May 2018 Canada.Presentation
Statistical downscaling of multi-site daily rainfall in a South Australian catchment using a Generalized Linear Model
Beecham, Simon, Rashid, Mamunur and Chowdhury, Rezaul K.. 2014. "Statistical downscaling of multi-site daily rainfall in a South Australian catchment using a Generalized Linear Model." International Journal of Climatology. 34 (14), pp. 3654-3670. https://doi.org/10.1002/joc.3933Article
Statistical downscaling of rainfall: a non-stationary and multi-resolution approach
Rashid, Md. Mamunur, Beecham, Simon and Chowdhury, Rezaul Kabir. 2016. "Statistical downscaling of rainfall: a non-stationary and multi-resolution approach." Theoretical and Applied Climatology. 124 (3-4), pp. 919-933. https://doi.org/10.1007/s00704-015-1465-3Article
Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment
Rashid, Md. Mamunur, Beecham, Simon and Chowdhury, Rezaul K.. 2015. "Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment." Science of the Total Environment. 530-531, pp. 171-182. https://doi.org/10.1016/j.scitotenv.2015.05.024Article
Decadal scale relationship between indices of climate variability and Australian rainfall
Stilgoe, Bernard. 2016. Decadal scale relationship between indices of climate variability and Australian rainfall. Masters Thesis Master of Science (Research). University of Southern Queensland.Masters Thesis
Simulation of extreme rainfall and projection of future changes using the GLIMCLIM model
Rashid, Md. Mamunur, Beecham, Simon and Chowdhury, Resaul Kabir. 2017. "Simulation of extreme rainfall and projection of future changes using the GLIMCLIM model." Theoretical and Applied Climatology. 130 (1-2), pp. 453-466. https://doi.org/10.1007/s00704-016-1892-9Article
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.2018.05.012Article
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 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.L1.mccarthyPaper
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.2018.05.003Article
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.2018.02.024Article
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.2016.396Article
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.2018.03.021Article
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.2017.07.027Article
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/s11069-018-3326-8Article
Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation
Obregon, Maria, Raj, Nawin and Stepanyants, Yury. 2018. "Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation." Chaos: an interdisciplinary journal of nonlinear science. 28 (3), pp. 1-11. https://doi.org/10.1063/1.5021864Article
Decay of Benjamin–Ono solitons under the influence of dissipation
Grimshaw, Roger H., Smyth, Noel F. and Stepanyants, Yury A.. 2018. "Decay of Benjamin–Ono solitons under the influence of dissipation." Wave Motion. 78, pp. 98-115. https://doi.org/10.1016/j.wavemoti.2018.01.005Article
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/s11269-018-1909-5Article
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.1943-5584.0001593Article
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.2017.10.076Article
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.11098Article
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/s00704-017-2292-5Article
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/s00477-017-1474-0Article
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/s00704-017-2244-0Article
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/su9050756Article
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.1943-5584.0001506Article
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-yArticle
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/f8100379Article
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/s11269-017-1811-6Article
Was the cold European winter of 2009/10 modified by anthropogenic climate change? An attribution study
Christiansen, Bo, Alvarez-Castro, Carmen, Christidis, Nikolaos, Ciavarella, Andrew, Colfescu, Ioana, Cowan, Timothy, Eden, Jonathan, Hauser, Mathias, Hempelmann, Nils, Klehmet, Katharina, Lott, Fraser, Nangini, Cathy, van Oldenborgh, Geert Jan, Orth, Rene, Stott, Peter, Tett, Simon, Vautard, Robert, Wilcox, Laura and Yiou, Pascal. 2018. "Was the cold European winter of 2009/10 modified by anthropogenic climate change? An attribution study." Journal of Climate. 31 (9), pp. 3387-3410. https://doi.org/10.1175/JCLI-D-17-0589.1Article
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.2017.09.007Article