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1 Wang, M.; Chen, X.; Sidike, A.; Cao, L.; DeMaeyer, P.; Kurban, A. 2021. Optimal allocation of surface water resources at the provincial level in the Uzbekistan Region of the Amudarya River Basin. Water, 13(11):1446. [doi: https://doi.org/10.3390/w13111446]
Surface water ; Water resources ; Water allocation ; River basins ; Water demand ; Water supply ; Water distribution ; Water use ; Livestock ; Irrigation ; Ecology ; Canals ; Economic aspects ; Models ; Optimization / Central Asia / Uzbekistan / Amudarya River Basin / Aral Sea / Kashkadarya River / Zarafshan River / Bukhara / Samarkand / Navoiy / Khorezm / Karakalpakstan / Karshi Canal
(Location: IWMI HQ Call no: e-copy only Record No: H050536)
(2.31 MB) (2.31 MB)
Water users in the Amudarya River Basin in Uzbekistan are suffering severe water use competition and uneven water allocation, which seriously threatens ecosystems, as shown, for example, in the well-known Aral Sea catastrophe. This study explores the optimized water allocation schemes in the study area at the provincial level under different incoming flow levels, based on the current water distribution quotas among riparian nations, which are usually ignored in related research. The optimization model of the inexact two-stage stochastic programming method is used, which is characterized by probability distributions and interval values. Results show that (1) water allocation is redistributed among five different sectors. Livestock, industrial, and municipality have the highest water allocation priority, and water competition mainly exists in the other two sectors of irrigation and ecology; (2) water allocation is redistributed among six different provinces, and allocated water only in Bukhara and Khorezm can satisfy the upper bound of water demand; (3) the ecological sector can receive a guaranteed water allocation of 8.237–12.354 km3; (4) under high incoming flow level, compared with the actual water distribution, the total allocated water of four sectors (except for ecology) is reduced by 3.706 km3 and total economic benefits are increased by USD 3.885B.
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