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The impact of water resources management and resource optimisation during drought periods

Kurbonalijon ZokirovTashkent State Agrarian University, Faculty of Fruit-Vegetable Growing and Viticulture, Department of Vegetable Growing and Establishing the Greenhouse Farming, University St, 2, Kibray District, Tashkent Region, UzbekistanOtabek MukhitdinovKimyo International University in Tashkent, Educational and Methodological Department, Shota Rustaveli St, 156, Tashkent, UzbekistanS. SuyarovSharof Rashidov Samarkand State University Suyarov Sulton Allaberdiyevich, Faculty of Geography and Ecology, Department of Ecology and Life Safety, University Boulevard 15, Samarkand, Samarkand Region, UzbekistanAnvar SherovNational Research University, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Kori Niyazov St, 39, Tashkent, UzbekistanFarmankul EgamberdievAlfraganus University, Yukori Karakamish St, 2A, Yunusabad District, Tashkent, UzbekistanNemat K. MamadalievFergana Medical Institute of Public Health, Faculty of Traumatology, Department of Traumatology and Orthopedics, Yangi Turon St, 2A, Fergana, Fergana Region, UzbekistanГулноза Аблакуловна АбдирашидоваSamarkand State Medical University, Faculty of Medical Prevention, Public Health and Medical Biology, Department of Pathological Physiology, Amir Temur St, 18, Samarkand, Samarqand, UzbekistanDadaxon AbdullayevUrgench State University, Faculty of Natural and Agricultural Sciences, Department of Fruit-Vegetable Growing, Kh. Alimdjan St, 14, Urganch, Khorezm, Uzbekistan
ABI

Annotatsiya

Water scarcity affects approximately 40% of the global population, with drought events causing annual economic losses exceeding $5–8 bln. Traditional water management approaches are increasingly inadequate as climate variability intensifies. The current study aims to develop an integrated framework for water resource optimisation during drought periods that bridges theoretical models with practical implementation considerations. The research was conducted across three watersheds (Limpopo, Murray–Darling, and Colorado River basins) using comprehensive hydroclimatic, socioeconomic, and institutional data spanning 1992–2022. A system dynamics model with five interconnected subsystems was coupled with a Non-dominated Sorting Genetic Algorithm-III optimisation framework. The Institutional Analysis and Development framework assessed governance structures, while Sobol sensitivity analysis evaluated parameter influence. Optimised balanced strategies reduced economic losses by 19.4–24.8%, decreased social impacts by 25.8–28.7%, and increased environmental flow compliance to 49.2–61.7% compared to baseline management. The Murray–Darling basin demonstrated the highest implementation potential due to its comprehensive legal framework and established adaptive mechanisms. Under severe climate change scenarios, optimisation performance advantages declined by 21–29%. Effective drought management requires both technical optimisation and institutional adaptation. Basin-specific implementation pathways provide practical roadmaps for enhancing water security while balancing diverse stakeholder needs in increasingly water-stressed regions.

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