The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
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 …

Comprehensive overview of flood modeling approaches: A review of recent advances

V Kumar, KV Sharma, T Caloiero, DJ Mehta, K Singh - Hydrology, 2023 - mdpi.com
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 …

[HTML][HTML] Advanced machine learning techniques to improve hydrological prediction: A comparative analysis of streamflow prediction models

V Kumar, N Kedam, KV Sharma, DJ Mehta, T Caloiero - Water, 2023 - mdpi.com
The management of water resources depends heavily on hydrological prediction, and
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

V Kumar, SM Yadav - Water supply, 2022 - iwaponline.com
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 …

Chaos game optimization: A comprehensive study of its variants, applications, and future directions

R Oueslati, G Manita, A Chhabra, O Korbaa - Computer Science Review, 2024 - Elsevier
Abstract Chaos Game Optimization Algorithm (CGO) is a novel advancement in
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 …

[HTML][HTML] Reservoir operation management with new multi-objective (MOEPO) and metaheuristic (EPO) algorithms

I Yoosefdoost, M Basirifard, J Álvarez-García - Water, 2022 - mdpi.com
Dam reservoir operation plays a fundamental role in water management studies and
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

MR Sharifi, S Akbarifard, MR Madadi, H Akbarifard… - Journal of …, 2022 - Elsevier
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 …

[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 …

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 …