干旱区生态环境知识资源中心(Arid): A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area

Arid

DOI	10.1016/j.agwat.2019.03.052
	A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area
	Tang, Yikuan 1; Zhang, Fan 1; Wang, Sufen 1; Zhang, Xiaodong 2; Guo, Shanshan 1; Guo, Ping 1
通讯作者	Wang, Sufen ; Guo, Ping
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2019
卷号	220 页码:13-26
英文摘要	Considering the uncertainties in agricultural system and spatiotemporal variability in evapotranspiration and precipitation, a distributed interval nonlinear multiobjective programming (DINMP) model was developed for optimal allocation of limited irrigation water resources in the middle reaches of Heihe River basin. The meteorological data from meteorological stations were used to estimate reference crop evapotranspiration (ET0) through FAO56 Penman-Monteith (PM) equation, and then the remote sensing MOD16/PET data were fitted by linear regression model according to the FAO56 PM results. The 95% confidence interval was used to further improve the accuracy of the fitting results. Thus, satellite-based potential evapotranspiration (PET) and ground-based ET0 estimation were integrated to not only reflect the spatial and temporal variability but also guarantee the accuracy of the ET0. In the terms of precipitation, spatial interpolation was used to spatial information of precipitation. Based on these spatiotemporal data, a DINMP with three objectives, including maximizing economic benefits and water saving as well as minimizing water shortage of critical growth periods, was formulated, and further solved by fuzzy coordination method. The optimal allocation scheme improves the irrigation water productivity by [0.50, 0.66] kg/m(3), and decreases net irrigation water allocation by [0.33, 1.01] x 10(8) m(3). These results show that DINMP can not only consider the uncertainties and multiple objectives in agricultural water management, but also improve the spatial resolution of optimal water allocation strategies. The framework of this study can provide a reference for agricultural water managers in similar areas to obtain more reasonable water allocation schemes.
英文关键词	MOD16/PET Spatiotemporal water requirement of crops and precipitation Spatial interpolation Uncertainty Distributed interval nonlinear multiobjective programming
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000470941300002
WOS关键词	HEIHE RIVER-BASIN ; EVAPOTRANSPIRATION PRODUCTS ; ALLOCATION MODEL ; CROP COEFFICIENT ; EVAPORATION ; MODIS ; OPTIMIZATION ; RESOURCES ; REGION ; MAIZE
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/2XILL650/214027
作者单位	1.China Agr Univ, Ctr Agr Water Res China, Tsinghuadong St 17, Beijing 100083, Peoples R China; 2.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Tang, Yikuan,Zhang, Fan,Wang, Sufen,et al. A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area[J]. 中国农业大学,2019,220:13-26.
APA	Tang, Yikuan,Zhang, Fan,Wang, Sufen,Zhang, Xiaodong,Guo, Shanshan,&Guo, Ping.(2019).A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area.AGRICULTURAL WATER MANAGEMENT,220,13-26.
MLA	Tang, Yikuan,et al."A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area".AGRICULTURAL WATER MANAGEMENT 220(2019):13-26.