370704. Surface water hydrology
| Title | 370704. Surface water hydrology |
|---|---|
| Parent | 3707. Hydrology |
Latest research outputs
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Measuring and mapping excessive linear soil erosion features: rills and gullies
Kiani-Harchegani, Mahboobeh, Najafi, Saeed and Ghahramani, Afshin. 2021. "Measuring and mapping excessive linear soil erosion features: rills and gullies." Rodrigo-Comino, Jesus (ed.) Precipitation: earth surface responses and processes. Netherlands. Elsevier. pp. 419-438Edited book (chapter)
A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia
Pakdel, Hadis, Paudyal, Dev Raj, Chadalavada, Sreeni, Alam, Md Jahangir and Vazifedoust, Majid. 2023. "A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia." ISPRS International Journal of Geo-Information. 12 (9). https://doi.org/10.3390/ijgi12090370Article
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.2021.3135362Article
Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning
Muhury, Newton, Apan, Armando A., Maraseni, Tek N. and Ayele, Gebiaw T.. 2022. "Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning." Land. 11 (12), pp. 1-23. https://doi.org/10.3390/land11122154Article
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.2022.160240Article
Groundwater-surface water interactions at wetland interface: Advancement in catchment system modeling
Rafiei, Vahid, Nejadhashemi, A. Pouyan, Mushtaq, Shahbaz, Bailey, Ryan T. and An-Vo, Duc-Anh. 2022. "Groundwater-surface water interactions at wetland interface: Advancement in catchment system modeling." Environmental Modelling and Software. 152, pp. 1-15. https://doi.org/10.1016/j.envsoft.2022.105407Article
Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems
Maqsoom, Ahsen, Aslam, Bilal, Khalid, Nauman, Ullah, Fahim, Anysz, Hubert, Almaliki, Abdulrazak H., Almaliki, Abdulrhman A. and Hussein, Enas E.. 2022. "Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems." Water: an open access journal. 14 (11), pp. 1-29. https://doi.org/10.3390/w14111824Article
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.2022.127963Article
Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network
Beringer, Jason, Moore, Caitlin E., Cleverly, Jamie, Campbell, David I., Cleugh, Helen, De Kauwe, Martin G., Kirschbaum, Miko U. F., Griebel, Anne, Grover, Sam, Huete, Alfredo, Hutley, Lindsay B., Laubach, Johannes, Van Niel, Tom, Arndt, Stefan K., Bennett, Alison C., Cernusak, Lucas A., Eamus, Derek, Ewenz, Cacilia M., Goodrich, Jordan P., ..., Woodgate, William. 2022. "Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network." Global Change Biology. 28 (11), pp. 3489-3514. https://doi.org/10.1111/gcb.16141Article
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.2022.127534Article
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.2021.151139Article
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data
Zhang, Zhenyu, Liu, Xiaoye and Wright, Wendy. 2022. "Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data." Ecological Informatics. 71, pp. 1-15. https://doi.org/10.1016/j.ecoinf.2022.101789Article
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.2022.154722Article
Discerning potable water sources using Monte Carlo based simulation for health risk assessment in Omu-Aran, Nigeria
Elemile, O.O., Ibitogbe, E.M., Obayomi, K.S., Trzcinski, P.A., Falana, B.M., Okon, E.M., Olajide, S.O., Arije, D., Tokula, B.E. and Ibitoye, O.O.. 2022. "Discerning potable water sources using Monte Carlo based simulation for health risk assessment in Omu-Aran, Nigeria." Groundwater for Sustainable Development. 19. https://doi.org/10.1016/j.gsd.2022.100843Article
Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam
Pakdel-Khasmakhi, Hadis, Vazifedoust, Majid, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2022. "Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam." ISPRS International Journal of Geo-Information. 11 (11), pp. 1-28. https://doi.org/10.3390/ijgi11110535Article
Modeling agricultural non-point source pollution at catchment scale: application, novel calibration and model advancement
Rafiei, Vahid. 2022. Modeling agricultural non-point source pollution at catchment scale: application, novel calibration and model advancement. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7v4qPhD by Publication
Development of Deep Learning Hybrid Models for Hydrological Predictions
Ahmed, Abul Abrar Masrur. 2022. Development of Deep Learning Hybrid Models for Hydrological Predictions. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q5zPhD by Publication
Modelling of Nutrient Pollution Dynamics in River Basins: A Review with a Perspective of a Distributed Modelling Approach
Alam, Md Jahangir and Dutta, Dushmanta. 2021. "Modelling of Nutrient Pollution Dynamics in River Basins: A Review with a Perspective of a Distributed Modelling Approach." Geosciences. 11 (9), pp. 1-16. https://doi.org/10.3390/geosciences11090369Article
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/su132011267Article
Impact of roof rain water harvesting of runoff capture and household consumption
Meshram, Sarita Gajbhiye, Ilderomi, Ali Reza, Sepehri, Mehdi, Jahanbakhshi, Farshid, Kiani-Harchegani, Mahboobeh, Ghahramani, Afshin and Rodrigo-Comino, Jesus. 2021. "Impact of roof rain water harvesting of runoff capture and household consumption." Environmental Science and Pollution Research. 28 (36), pp. 49529-49540. https://doi.org/10.1007/s11356-021-14098-9Article
Assessment of drainage network analysis methods to rank sediment yield hotspots
Sepehri, Mehdi, Ghahramani, Afshin, Kiani-Harchegani, Mahboobeh, Ildoromi, Ali Reza, Talebi, Ali and Rodrigo-Comino, Jesus. 2021. "Assessment of drainage network analysis methods to rank sediment yield hotspots." Hydrological Sciences Journal. 66 (5), pp. 904-918. https://doi.org/10.1080/02626667.2021.1899183Article
Improving whole farm and infield irrigation efficiencies
Raine, Steven, Purcell, Jim and Schmidt, Erik. 2006. "Improving whole farm and infield irrigation efficiencies." International Water and Irrigation. 26 (2), pp. 12-14.Article
Modelling hydrological processes and identifying soil erosion sources in a tropical catchment of the Great Barrier Reef using SWAT
Rafiei, Vahid, Ghahramani, Afshin, An-Vo, Duc-Anh and Mushtaq, Shahbaz. 2020. "Modelling hydrological processes and identifying soil erosion sources in a tropical catchment of the Great Barrier Reef using SWAT." Water: an open access journal. 12 (8), pp. 2179-2206. https://doi.org/10.3390/w12082179Article
A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments
Ghahramani, Afshin, Freebairn, David M., Sena, Dipaka R., Cutajar, Justin L. and Silburn, David M.. 2020. "A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments." Environmental Modelling and Software. 130. https://doi.org/10.1016/j.envsoft.2020.104733Article
Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu basin, northwest of Hamadan Province, Iran
Ildoromi, Ali Reza, Sepehri, Mehdi, Malekinezhad, Hossein, Kiani-Harchegani, Mahboobeh, Ghahramani, Afshin, Hosseini, Seyed Zeynalabedin and Artimani, Mohammad Mehdi. 2019. "Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu basin, northwest of Hamadan Province, Iran." Physics and Chemistry of the Earth. 114, pp. 1-11. https://doi.org/10.1016/j.pce.2019.10.002Article
Assessment of check dams’ role in flood hazard mapping in a semi-arid environment
Sepehri, Mehdi, Ildoromi, Ali Reza, Malekinezhad, Hossein, Ghahramani, Afshin, Ekhtesasi, Mohammad Reza, Cao, Chen and Kiani-Harchegani, Mahboobeh. 2019. "Assessment of check dams’ role in flood hazard mapping in a semi-arid environment." Geomatics, Natural Hazards and Risk. 10 (1), pp. 2239-2256. https://doi.org/10.1080/19475705.2019.1692079Article
Developing HowLeaky platform for improved governance, facilitation of development, and open reproducible science: final report
Ghahramani, Afshin, Anderson, Roy and Doherty, Al. 2019. Developing HowLeaky platform for improved governance, facilitation of development, and open reproducible science: final report. Toowoomba, Australia. University of Southern Queensland.Technical report
Groundwater governance in Bangladesh: Established practices and recent trends
Bhattacharjee, Shubra, Saha, Bijeta, Saha, Bohnni, Uddin, Md Sadid, Panna, Chowdhury Hasanul, Bhattacharya, Prosun and Saha, Ratnajit. 2019. "Groundwater governance in Bangladesh: Established practices and recent trends." Groundwater for Sustainable Development. 8, pp. 69-81. https://doi.org/10.1016/j.gsd.2018.02.006Article
Arsenic in Drinking Water: Is 10 μg/L a Safe Limit?
Ahmad, Arslan and Bhattacharya, Prosun. 2019. "Arsenic in Drinking Water: Is 10 μg/L a Safe Limit?" Current Pollution Reports. 5 (1), pp. 1-3. https://doi.org/10.1007/s40726-019-0102-7Article
Environmental arsenic in a changing world
Ahmad, Arslan and Bhattacharya, Prosun. 2019. "Environmental arsenic in a changing world." Groundwater for Sustainable Development. 8, pp. 169-171. https://doi.org/10.1016/j.gsd.2018.11.001Article
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.2018.12.060Article
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/w9030159Article
Climate change impacts on water availability in the Murrumbidgee River catchment
Muhury, Newton. 2018. Climate change impacts on water availability in the Murrumbidgee River catchment. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/5c0dc001f69d7Masters Thesis
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
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
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
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
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
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