Citations (45)
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Shabnam Majnooni, Mohammad Reza Nikoo, Banafsheh Nematollahi, Mahmood Fooladi, Nasrin Alamdari, Ghazi Al-Rawas & Amir H. Gandomi. (2023) Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning. Hydrological Sciences Journal 68:14, pages 1984-2008.
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Federico Vilaseca, Alberto Castro, Christian Chreties & Angela Gorgoglione. (2023) Assessing influential rainfall–runoff variables to simulate daily streamflow using random forest. Hydrological Sciences Journal 68:12, pages 1738-1753.
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Alfeu D. Martinho, Camila M. Saporetti & Leonardo Goliatt. (2023) Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization. Hydrological Sciences Journal 68:1, pages 16-33.
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Zaki Abda, Bilel Zerouali, Mohamed Chettih, Celso Augusto Guimarães Santos, Camilo Allyson Simões de Farias & Ahmed Elbeltagi. (2022) Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria). Hydrological Sciences Journal 67:9, pages 1328-1341.
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Maofa Wang, Mohammad Rezaie-Balf, Sujay Raghavendra Naganna & Zaher Mundher Yaseen. (2021) Sourcing CHIRPS precipitation data for streamflow forecasting using intrinsic time-scale decomposition based machine learning models. Hydrological Sciences Journal 66:9, pages 1437-1456.
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Ghunwa Shah, Arjumand Zaidi, Abdul Latif Qureshi, Shahzad Hussain, Rizwan & Tarique Aziz. (2024) Rainfall-runoff modeling using machine learning in the ungauged urban watershed of Quetta Valley, Balochistan (Pakistan). Earth Science Informatics.
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Haris Mushtaq, Taimoor Akhtar, Muhammad Zia ur Rahman Hashmi, Amjad Masood & Fahad Saeed. (2024) Hydrologic interpretation of machine learning models for 10-daily streamflow simulation in climate sensitive upper Indus catchments. Theoretical and Applied Climatology.
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David Woodson, Balaji RajagopalanEdith Zagona. (2024) Long-Lead Forecasting of Runoff Season Flows in the Colorado River Basin Using a Random Forest Approach. Journal of Water Resources Planning and Management 150:4.
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Ruirui Xu, Dexun Qiu, Peng Gao, Changxue Wu, Xingmin Mu & Muhammad Ismail. (2024) Prediction of streamflow based on the long-term response of streamflow to climatic factors in the source region of the Yellow River. Journal of Hydrology: Regional Studies 52, pages 101681.
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Brandi Gaertner. (2024) Geospatial patterns in runoff projections using random forest based forecasting of time-series data for the mid-Atlantic region of the United States. Science of The Total Environment 912, pages 169211.
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Mumtaz Ali, Ramendra Prasad, Mehdi Jamei, Anurag Malik, Yong Xiang, Shahab Abdulla, Ravinesh C. Deo, Aitazaz A. Farooque & Abdulhaleem H. Labban. (2024) Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks. Renewable Energy 221, pages 119773.
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Patrick D. Broxton, Willem J. D. van Leeuwen, Bohumil M. Svoma, James Walter & Joel A. Biederman. (2023) Subseasonal to seasonal streamflow forecasting in a semiarid watershed. JAWRA Journal of the American Water Resources Association 59:6, pages 1493-1510.
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Suyanto, Ali Masduqi, Syamsul Arifin, Mohammad Alfaris Fernanda & Gigih Yuli Asmara. (2023) The Design of Pipeline Leak Location Prediction System with Incremental Extreme Learning Machine (I-ELM). The Design of Pipeline Leak Location Prediction System with Incremental Extreme Learning Machine (I-ELM).
José García, Andres Leiva-Araos, Emerson Diaz-Saavedra, Paola Moraga, Hernan Pinto & Víctor Yepes. (2023) Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing. Applied Sciences 13:22, pages 12497.
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Charlotte Cockburn, Jonathan M. Winter, Erich C. Osterberg & Francis J. Magilligan. (2023) Drivers of future streamflow changes in watersheds across the Northeastern United States. JAWRA Journal of the American Water Resources Association 59:5, pages 894-912.
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Michele Magni, Edwin H. Sutanudjaja, Youchen Shen & Derek Karssenberg. (2023) Global streamflow modelling using process-informed machine learning. Journal of Hydroinformatics 25:5, pages 1648-1666.
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Lingxue Liu, Li Zhou, Maksym Gusyev & Yufeng Ren. (2023) Unravelling and improving the potential of global discharge reanalysis dataset in streamflow estimation in ungauged basins. Journal of Cleaner Production 419, pages 138282.
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Gebre Gelete. (2023) Application of hybrid machine learning-based ensemble techniques for rainfall-runoff modeling. Earth Science Informatics 16:3, pages 2475-2495.
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Subbarayan Saravanan, Nagireddy Masthan Reddy, Quoc Bao Pham, Abdullah Alodah, Hazem Ghassan Abdo, Hussein Almohamad & Ahmed Abdullah Al Dughairi. (2023) Machine Learning Approaches for Streamflow Modeling in the Godavari Basin with CMIP6 Dataset. Sustainability 15:16, pages 12295.
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Jiayuan Li, Xing Yuan & Peng Ji. (2023) Long-lead daily streamflow forecasting using Long Short-Term Memory model with different predictors. Journal of Hydrology: Regional Studies 48, pages 101471.
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Kai Lun Yeoh, How Tion Puay, Rozi Abdullah & Teh Sabariah Abd Manan. (2023) Appraisal of data-driven techniques for predicting short-term streamflow in tropical catchment. Water Science & Technology 88:1, pages 75-91.
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Tharaka Jayathilake, Miyuru B. Gunathilake, Eranga M. Wimalasiri & Upaka Rathnayake. (2023) Wetland Water-Level Prediction in the Context of Machine-Learning Techniques: Where Do We Stand?. Environments 10:5, pages 75.
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Mohammad Hijji, Tzu-Chia Chen, Muhammad Ayaz, Ali S. Abosinnee, Iskandar Muda, Yury Razoumny & Javad Hatamiafkoueieh. (2023) Optimization of State of the Art Fuzzy-Based Machine Learning Techniques for Total Dissolved Solids Prediction. Sustainability 15:8, pages 7016.
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Ömer Ayana, Deniz Furkan Kanbak, Mümine Kaya Keleş & Evren Turhan. (2023) Monthly streamflow prediction and performance comparison of machine learning and deep learning methods. Acta Geophysica 71:6, pages 2905-2922.
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Olivia Becher, Raghav Pant, Jasper Verschuur, Arpita Mandal, Homero Paltan, Mark Lawless, Emma Raven & Jim Hall. (2023) A Multi‐Hazard Risk Framework to Stress‐Test Water Supply Systems to Climate‐Related Disruptions. Earth's Future 11:1.
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Nagarampalli Manoj Kumar, Ippili Saikrishnamacharyulu, Abinash Sahoo, Sandeep Samantaray, Mavoori Hitesh Kumar, Akash Naik & Srinibash Sahoo. 2023. Intelligent System Design. Intelligent System Design
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Xue Li, Yingyin Zhou, Man Zhang, Jian Sha & Zhong-Liang Wang. (2022) A two-step downscaling method for high-scale super-resolution of daily temperature — a case study of Wei River Basin, China. Environmental Science and Pollution Research 30:12, pages 32474-32488.
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Adnan Khan, Amjad Ali, Naveed Islam, Sadaf Manzoor, Hassan Zeb, Muhammad Azeem & Shumaila Ihtesham. (2022) Robust Extreme Learning Machine Using New Activation and Loss Functions Based on M-Estimation for Regression and Classification. Scientific Programming 2022, pages 1-10.
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Abhinav Kumar Singh, Pankaj Kumar, Rawshan Ali, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Kuldeep Singh Kushwaha, Kanhu Charan Panda, Atish Sagar, Ehsan Mirzania, Ahmed Elbeltagi, Alban Kuriqi & Salim Heddam. (2022) An Integrated Statistical-Machine Learning Approach for Runoff Prediction. Sustainability 14:13, pages 8209.
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M. N. M. Adib & Sobri Harun. (2022) Metalearning Approach Coupled with CMIP6 Multi-GCM for Future Monthly Streamflow Forecasting. Journal of Hydrologic Engineering 27:6.
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Adriana Márquez‐Romance, Nereida López‐Calatayud, Bettys Farías‐De Márquez & Edilberto Guevara‐Pérez. (2021) Approach to a new forecasting method of hydrological variables in tropical basins. Environmental Quality Management 31:4, pages 433-448.
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Levent LATİFOĞLU. (2022) A novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method. International Advanced Researches and Engineering Journal 6:1, pages 1-7.
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Xiaoen Zhao, Ruibo Zhang, Feng Chen, Bagila Maisupova, Vitaliy Kirillov, Bulkair Mambetov, Shulong Yu, Qing He, Daniyar Dosmanbetov & Nurzhan Kelgenbayev. (2022) Reconstructed summertime (June–July) streamflow dating back to 1788 CE in the Kazakh Uplands as inferred from tree rings. Journal of Hydrology: Regional Studies 40, pages 101007.
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Hüseyin Yildirim DALKILIÇ, Sefa Nur YEŞİLYURT & Pijush SAMUİ. (2021) Daily Flow Modeling With Random Forest and K-Nearest Neighbor MethodsRandom Forest ve K-Nearest Neighbor Yöntemleri ile Günlük Akım Modellemesi. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi 14:3, pages 914-925.
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David Woodson, Balaji Rajagopalan, Sarah Baker, Rebecca Smith, James Prairie, Erin Towler, Ming Ge & Edith Zagona. (2021) Stochastic Decadal Projections of Colorado River Streamflow and Reservoir Pool Elevations Conditioned on Temperature Projections. Water Resources Research 57:12.
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Xingsheng Shu, Wei Ding, Yong Peng, Ziru Wang, Jian Wu & Min Li. (2021) Monthly Streamflow Forecasting Using Convolutional Neural Network. Water Resources Management 35:15, pages 5089-5104.
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John Quilty & Jan Adamowski. (2021) A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia). Environmental Modelling & Software 144, pages 105119.
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Guilherme Barbosa Reis, Demetrius David da Silva, Elpídio Inácio Fernandes Filho, Michel Castro Moreira, Gustavo Vieira Veloso, Micael de Souza Fraga & Sávio Augusto Rocha Pinheiro. (2021) Effect of environmental covariable selection in the hydrological modeling using machine learning models to predict daily streamflow. Journal of Environmental Management 290, pages 112625.
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Leo Triet Pham, Lifeng Luo & Andrew Finley. (2021) Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds. Hydrology and Earth System Sciences 25:6, pages 2997-3015.
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Jian Wang, Weimin Bao, Qianyu Gao, Wei Si & Yiqun Sun. (2021) Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation. Journal of Hydroinformatics 23:3, pages 589-604.
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H. Wang, Y.P. Li, Y.R. Liu, G.H. Huang, Y.F. Li & Q.M. Jia. (2021) Analyzing streamflow variation in the data-sparse mountainous regions: An integrated CCA-RF-FA framework. Journal of Hydrology 596, pages 126056.
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Mojtaba Poursaeid, Reza Mastouri, Saeid Shabanlou & Mohsen Najarchi. (2020) Modelling qualitative and quantitative parameters of groundwater using a new wavelet conjunction heuristic method: wavelet extreme learning machine versus wavelet neural networks. Water and Environment Journal 35:1, pages 67-83.
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Rana Muhammad Adnan, Andrea Petroselli, Salim Heddam, Celso Augusto Guimarães Santos & Ozgur Kisi. (2021) Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach. Natural Hazards 105:3, pages 2987-3011.
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Yolanda Kanyama, Ritesh Ajoodha, Helen Seyler, Ndivhuwo Makondo & Hlanganani Tutu. (2020) Application of Machine Learning Techniques In Forecasting Groundwater Levels in the Grootfontein Aquifer. Application of Machine Learning Techniques In Forecasting Groundwater Levels in the Grootfontein Aquifer.