Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios

Author:

Almubaidin Mohammad Abdullah Abid,Ahmed Ali Najah,Malek Marlinda Abdul,Mahmoud Moamin A.,Sherif MohsenORCID,El-Shafie Ahmed

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference47 articles.

1. Operating a reservoir system based on the shark machine learning algorithm;Allawi;Environ. Earth Sci.,2018

2. Enhancing sediment transport predictions through machine learning-based multi-scenario regression models;Almubaidin;Results Eng.,2023

3. Using Metaheuristics Algorithms (MHAs) to Optimize Water Supply Operation in Reservoirs: a Review;Almubaidin;Arch. Comput. Methods Eng.,2022

4. Impact of the Effluent Characteristics of Industrial and Domestic Wastewater Treatment Plants on the Irrigated Soil and Plants;Al-Mubaidin;Jordan J. Earth Environ. Sci.,2022

5. Application of the modified universal soil loss equation (MUSLE) in prediction of sediment yield (Case study: Kengir Watershed, Iran);Arekhi;Arab. J. Geosci.,2012

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