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Hydrological Sciences Journal Volume 67, 2022 - Issue 9
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Research Article

Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria)

Zaki Abdaa Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Faculty of Civil Engineering and Architecture, Amar Telidji University, Laghouat, AlgeriaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4291-6055View further author information
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Bilel Zeroualib Vegetal Chemistry-Water-Energy Research Laboratory, Faculty of Civil Engineering and Architecture, Hassiba Benbouali, University of Chlef, AlgeriaORCID Iconhttps://orcid.org/0000-0003-4735-9750View further author information
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Mohamed Chettiha Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Faculty of Civil Engineering and Architecture, Amar Telidji University, Laghouat, AlgeriaORCID Iconhttps://orcid.org/0000-0001-6814-1828View further author information
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Celso Augusto Guimarães Santosc Department of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa, BrazilORCID Iconhttps://orcid.org/0000-0001-7927-9718View further author information
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Camilo Allyson Simões de Fariasd Academic Unit of Environmental Science and Technology, Federal University of Campina Grande, Pombal, PB, 58840-000, BrazilORCID Iconhttps://orcid.org/0000-0002-2425-6815View further author information
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Ahmed Elbeltagie Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Al Mansurah, Egypt;f College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, ChinaORCID Iconhttps://orcid.org/0000-0002-5506-9502View further author information
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Pages 1328-1341 | Received 24 Jul 2021, Accepted 21 Apr 2022, Published online: 28 Jun 2022

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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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Articles from other publishers (12)

Ariane Marina de Albuquerque Teixeira, Leonardo Vidal Batista, Richarde Marques da Silva, Luccas Matheus Torres Freitas & Celso Augusto Guimarães Santos. (2024) Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning. Remote Sensing Applications: Society and Environment 35, pages 101205.
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Jun Guo, Yi Liu, Qiang Zou, Lei Ye, Shuang Zhu & Hairong Zhang. (2023) Study on optimization and combination strategy of multiple daily runoff prediction models coupled with physical mechanism and LSTM. Journal of Hydrology 624, pages 129969.
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Ming Zhong, Hongrui Zhang, Tao Jiang, Jun Guo, Jinxin Zhu, Dagang Wang & Xiaohong Chen. (2023) A Hybrid Model Combining the Cama-Flood Model and Deep Learning Methods for Streamflow Prediction. Water Resources Management 37:12, pages 4841-4859.
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Ehab Gomaa, Bilel Zerouali, Salah Difi, Khaled A. El-Nagdy, Celso Augusto Guimarães Santos, Zaki Abda, Sherif S.M. Ghoneim, Nadjem Bailek, Richarde Marques da Silva, Jitendra Rajput & Enas Ali. (2023) Assessment of hybrid machine learning algorithms using TRMM rainfall data for daily inflow forecasting in Três Marias Reservoir, eastern Brazil. Heliyon 9:8, pages e18819.
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Babak Vaheddoost, Mustafa Utku Yilmaz & Mir Jafar Sadegh Safari. (2023) Estimation of flow duration and mass flow curves in ungauged tributary streams. Journal of Cleaner Production 409, pages 137246.
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Dario Pumo & Leonardo V. Noto. (2023) Exploring the use of multi-gene genetic programming in regional models for the simulation of monthly river runoff series. Stochastic Environmental Research and Risk Assessment 37:5, pages 1917-1941.
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Bilel Zerouali, Celso Augusto Guimarães Santos, Camilo Allyson Simões de Farias, Raul Souza Muniz, Salah Difi, Zaki Abda, Mohamed Chettih, Salim Heddam, Samy A. Anwar & Ahmed Elbeltagi. (2023) Artificial intelligent systems optimized by metaheuristic algorithms and teleconnection indices for rainfall modeling: The case of a humid region in the mediterranean basin. Heliyon 9:4, pages e15355.
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Paul Muñoz, Gerald Corzo, Dimitri Solomatine, Jan Feyen & Rolando Célleri. (2023) Near-real-time satellite precipitation data ingestion into peak runoff forecasting models. Environmental Modelling & Software 160, pages 105582.
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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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Bilel Zerouali, Mohamed Chettih, Zak Abda & Mohamed Mesbah. 2023. Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems. Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems 297 326 .
Sharannya Thalli Mani, Venkatesh Kolluru, Mahesha Amai & Tri Dev Acharya. (2022) Enhanced streamflow simulations using nudging based optimization coupled with data-driven and hydrological models. Journal of Hydrology: Regional Studies 43, pages 101190.
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Farhang Forghanparast & Ghazal Mohammadi. (2022) Using Deep Learning Algorithms for Intermittent Streamflow Prediction in the Headwaters of the Colorado River, Texas. Water 14:19, pages 2972.
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