干旱区生态环境知识资源中心(Arid): A fixed-mix stochastic fractional programming method for optimizing agricultural irrigation and hydropower generation in Central Asia

Arid

DOI	10.1016/j.jconhyd.2022.104004
	A fixed-mix stochastic fractional programming method for optimizing agricultural irrigation and hydropower generation in Central Asia
	Zhou, Y. X.; Li, Y. P.; Huang, G. H.; Zhang, Y. F.; Ma, Y.
通讯作者	Li, Y
来源期刊	JOURNAL OF CONTAMINANT HYDROLOGY
ISSN	0169-7722
EISSN	1873-6009
出版年	2022
卷号	248
英文摘要	In this study, a fixed-mix stochastic fractional programming (FSFP) method is developed for balancing the water allocation conflict between upstream hydropower generation and downstream agricultural irrigation. FSFP has advantages in dealing with ratio-objective problem under uncertainty, reflecting the dynamic and stochastic characteristics over a long-term planning context, as well as analyzing interrelationships between system efficiency and violation risk of water-allocation target. Then, FSFP is firstly applied to Tuyamuyun reservoir in the lower reach of Amu Darya River basin (Central Asia), where multiple scenarios based on different hydropower generation targets and inflow levels are examined for identifying the complex relationship between hydropower generation and crop irrigation. Major findings and managerial insights can be summarized as: (i) with the reduction of reservoir inflow, water allocation for downstream agricultural irrigation would decrease by 30.4% once the minimum demand is satisfied, and hydropower generation should be higher priority for pursuing higher marginal benefit; (ii) with the shrinking water supply and rising hydropower-generation target, cotton planting should be firstly restrained due to its high water demand and grape planting is encouraged; (iii) under extreme water scarcity (i.e., low and very-low inflow levels), low-level hydropower generation target (i.e., alpha = 0.45) is desired for meeting the food requirement in the study basin; (iv) for alleviating the water shortage during dry seasons, it is recommended that water storage should be conducted in autumn and winter, and water release for crop irrigation should be implemented during spring and summer. These findings can help managers identify sustainable water-allocation schemes for agricultural irrigation and hydropower generation against water shortage, environmental destruction and energy insecurity in arid regions.
英文关键词	Agricultural irrigation Amu Darya River basin Fractional programming Hydropower generation Stochastic programming
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000800421900006
WOS关键词	WATER-RESOURCES MANAGEMENT ; FOOD NEXUS ; AMU DARYA ; OPTIMIZATION ; ALLOCATION ; EFFICIENCY ; SYSTEM ; QUALITY ; MODEL
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393392
推荐引用方式 GB/T 7714	Zhou, Y. X.,Li, Y. P.,Huang, G. H.,et al. A fixed-mix stochastic fractional programming method for optimizing agricultural irrigation and hydropower generation in Central Asia[J],2022,248.
APA	Zhou, Y. X.,Li, Y. P.,Huang, G. H.,Zhang, Y. F.,&Ma, Y..(2022).A fixed-mix stochastic fractional programming method for optimizing agricultural irrigation and hydropower generation in Central Asia.JOURNAL OF CONTAMINANT HYDROLOGY,248.
MLA	Zhou, Y. X.,et al."A fixed-mix stochastic fractional programming method for optimizing agricultural irrigation and hydropower generation in Central Asia".JOURNAL OF CONTAMINANT HYDROLOGY 248(2022).