干旱区生态环境知识资源中心(Arid): An interval multi-objective fuzzy-interval credibility-constrained nonlinear programming model for balancing agricultural and ecological water management

Arid

DOI	10.1016/j.jconhyd.2022.103958
	An interval multi-objective fuzzy-interval credibility-constrained nonlinear programming model for balancing agricultural and ecological water management
	Pan, Qi; Zhang, Chenglong; Guo, Shanshan; Sun, Hanshi; Du, Jiayu; Guo, Ping
通讯作者	Guo, P
来源期刊	JOURNAL OF CONTAMINANT HYDROLOGY
ISSN	0169-7722
EISSN	1873-6009
出版年	2022
卷号	245
英文摘要	This study presents an interval multi-objective fuzzy-interval credibility-constrained nonlinear programming (IMFICNP) model combined with spatial water requirement of ecological vegetation (SEWR) estimation for solving the problem of allocation of agricultural and ecological water in irrigation districts under uncertainties. Through techniques of remote sensing (RS) and geographic information system (GIS), the ecological vegetation is subdivided into three types including forest land, grassland and shrubland and the water requirement of ecological vegetation is extended from site-specific sample to spatial decision-making unit (DMU), which provides a set of spatial data for input parameters of constraints. The IMFICNP model can be formulated through combination of interval parameter programming, multi-objective programming and fuzzy-interval credibilityconstrained programming, which can handle the conflicts of multiple objectives under uncertainties such as single uncertainty (interval and fuzzy parameters) and dual-uncertainties (fuzzy-interval sets), and finally generate optimal water allocation schemes for crop and ecological vegetation under different credibility levels. The interval quadratic crop water production functions (IQCWPFs) are introduced to express the nonlinear relationships between crop yield and irrigation amount. Then, this model is applied to a case study of Huangyang Irrigation District (HID) in Shiyang River Basin to demonstrate its applicability. The results indicate that a higher credibility level is accompanied by less amount of water allocation and lower system benefit. The amount of water allocation at the DMU is dominated by planting area of crops and ecological vegetation, but there are few exceptions that optimal solutions are determined by the economic value. In addition, SEWR enables to reflect spatial heterogeneity of the DMU at a larger scale. IMFICNP model can coordinate conflicts among multiple objectives and it can tackle the violation of system constraints with fuzzy-interval sets. Therefore, these results can effectively balance the agricultural and ecological water management in irrigation districts, and provide valuable basis for the sustainable development of arid and semi-arid areas.
英文关键词	Spatial water requirement of ecological vegetation Interval multi-objective programming Fuzzy-interval sets Credibility-constrained programming Nonlinear Agricultural and ecological water allocation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000746468200001
WOS关键词	RESOURCES MANAGEMENT ; ALLOCATION ; OPTIMIZATION ; VEGETATION ; REQUIREMENTS ; CHINA ; NEXUS ; BASIN
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/2XILL650/376481
推荐引用方式 GB/T 7714	Pan, Qi,Zhang, Chenglong,Guo, Shanshan,et al. An interval multi-objective fuzzy-interval credibility-constrained nonlinear programming model for balancing agricultural and ecological water management[J],2022,245.
APA	Pan, Qi,Zhang, Chenglong,Guo, Shanshan,Sun, Hanshi,Du, Jiayu,&Guo, Ping.(2022).An interval multi-objective fuzzy-interval credibility-constrained nonlinear programming model for balancing agricultural and ecological water management.JOURNAL OF CONTAMINANT HYDROLOGY,245.
MLA	Pan, Qi,et al."An interval multi-objective fuzzy-interval credibility-constrained nonlinear programming model for balancing agricultural and ecological water management".JOURNAL OF CONTAMINANT HYDROLOGY 245(2022).