Arid
DOI10.1016/j.agwat.2019.105692
Planning seasonal irrigation water allocation based on an interval multiobjective multi-stage stochastic programming approach
Zhang, Fan; Guo, Ping; Engel, Bernard A.; Guo, Shanshan; Zhang, Chenglong; Tang, Yikuan
通讯作者Guo, P (corresponding author), China Agr Univ, Ctr Agr Water Res China, Tsinghuadong St 17, Beijing 100083, Peoples R China.
来源期刊AGRICULTURAL WATER MANAGEMENT
ISSN0378-3774
EISSN1873-2283
出版年2019
卷号223
英文摘要Water managers in arid and semi-arid areas must allocate limited irrigation water to different water use sectors considering the conflicting objectives, seasonal runoff inflow, and multiple uncertainties. To deal with these problems, an interval multiobjective multi-stage stochastic programming (IMMSP) model was proposed for finding reasonable water-storage scale and optimizing limited irrigation-water resources. Key factors in planning irrigation-water resources, such as random seasonal runoff, interval uncertainty in data collection, economic benefits, water leakage loss, and water deficit, were fully considered in the IMMSP model. Additionally, as an important indicator to describe the seasonal water supply capability of local water supply project, including reservoirs, agricultural ponds and etc., the water-storage scale, defined as the ratio of water storage capacity over total streamflow, is proposed to obtain the quantitative relationship between this indicator and objective of IMMSP. This study attempted to obtain the relationship between water-storage scale and objective of IMMSP as well as provide a reference of determining water-storage scale from the perspective of optimization. In addition, to solve the IMMSP model, a modified minimum deviation (MMD) method was proposed for dealing with uncertainties, making tradeoff among conflicting objectives, and reflecting the different importance of objectives. Both the IMMSP model and MMD method were applied to a real-world water-allocation problem in the middle reaches of the Heihe River basin for verifying its validity. The solutions generate a set of decision alternatives under different seasonal runoff scenarios and further guide local water managers identify the optimal management strategies and project construction scale of water conservancy. Moreover, a sound discussion of contribution to water-storage scale planning is made and the comparisons between IMMSP and each single-objective model (economic benefits, water leakage loss, and water deficit) in this study demonstrate that the results obtained by the proposed approach are more practical than a single objective with the same constraints. These results can not only effectively contribute to local irrigation water management and ecological restoration, but also provide more information to plan regional water-storage scale values.
英文关键词Water-storage scale Irrigation water allocation Interval multiobjective programming Interval multi-stage stochastic programming
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000495460400021
WOS关键词MODEL ; OPTIMIZATION ; MANAGEMENT ; SYSTEM ; UNCERTAIN
WOS类目Agronomy ; Water Resources
WOS研究方向Agriculture ; Water Resources
来源机构中国农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/369847
作者单位[Zhang, Fan; Guo, Ping; Guo, Shanshan; Zhang, Chenglong; Tang, Yikuan] China Agr Univ, Ctr Agr Water Res China, Tsinghuadong St 17, Beijing 100083, Peoples R China; [Engel, Bernard A.] Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47907 USA
推荐引用方式
GB/T 7714
Zhang, Fan,Guo, Ping,Engel, Bernard A.,et al. Planning seasonal irrigation water allocation based on an interval multiobjective multi-stage stochastic programming approach[J]. 中国农业大学,2019,223.
APA Zhang, Fan,Guo, Ping,Engel, Bernard A.,Guo, Shanshan,Zhang, Chenglong,&Tang, Yikuan.(2019).Planning seasonal irrigation water allocation based on an interval multiobjective multi-stage stochastic programming approach.AGRICULTURAL WATER MANAGEMENT,223.
MLA Zhang, Fan,et al."Planning seasonal irrigation water allocation based on an interval multiobjective multi-stage stochastic programming approach".AGRICULTURAL WATER MANAGEMENT 223(2019).
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