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The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
Comprehensive overview of flood modeling approaches: A review of recent advances
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
[HTML][HTML] Advanced machine learning techniques to improve hydrological prediction: A comparative analysis of streamflow prediction models
The management of water resources depends heavily on hydrological prediction, and
advances in machine learning (ML) present prospects for improving predictive modelling …
advances in machine learning (ML) present prospects for improving predictive modelling …
A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources
Water resource management is a complex engineering problem, due to the stochastic
nature of inflow, various demands and environmental flow downstream. With the increase in …
nature of inflow, various demands and environmental flow downstream. With the increase in …
Chaos game optimization: A comprehensive study of its variants, applications, and future directions
Abstract Chaos Game Optimization Algorithm (CGO) is a novel advancement in
metaheuristic optimization inspired by chaos theory. It addresses complex optimization …
metaheuristic optimization inspired by chaos theory. It addresses complex optimization …
Parameter identification of unsaturated seepage model of core rockfill dams using principal component analysis and multi-objective optimization
Y Xu, Z Wu - Structures, 2022 - Elsevier
The seepage behavior of core walls is an important aspect of safety monitoring of core
rockfill dams. The permeability coefficient of unsaturated soil of the core wall is a nonlinear …
rockfill dams. The permeability coefficient of unsaturated soil of the core wall is a nonlinear …
[HTML][HTML] Reservoir operation management with new multi-objective (MOEPO) and metaheuristic (EPO) algorithms
Dam reservoir operation plays a fundamental role in water management studies and
planning. This study examined three policies to improve the performance of reservoirs …
planning. This study examined three policies to improve the performance of reservoirs …
Comprehensive assessment of 20 state-of-the-art multi-objective meta-heuristic algorithms for multi-reservoir system operation
Optimal operation of multi-purpose multi-reservoir dams is a challenging problem for dams'
stakeholders and decision-makers. Optimization algorithms are able to present reliable …
stakeholders and decision-makers. Optimization algorithms are able to present reliable …
[PDF][PDF] Derivation of optimal two dimensional rule curve for dualistic reservoir water-supply system
N Khalaf, T Shareef, M Al-Mukhtar - Civil Engineering Journal, 2023 - researchgate.net
In arid and semi-arid regions particularly vulnerable to climate change, optimizing the long-
term operation of multipurpose reservoirs is paramount. This study derived an optimum two …
term operation of multipurpose reservoirs is paramount. This study derived an optimum two …
Applying the new multi-objective algorithms for the operation of a multi-reservoir system in hydropower plants
SMS Hashemi, A Robati, MA Kazerooni - Scientific reports, 2024 - pmc.ncbi.nlm.nih.gov
The optimal operation of the multi-purpose reservoir system is a difficult, and, sometimes,
non-linear problem in multi-objective optimization. By simulating biological behavior, meta …
non-linear problem in multi-objective optimization. By simulating biological behavior, meta …