A multi-objective fuzzy programming model for optimal use of irrigation water and land resources under uncertainty in Gansu Province, China

This paper developed a multi-objective fuzzy programming method for simultaneously optimizing the use of water and land resources for irrigation under uncertainty. The developed model was then applied to a case study in Wuwei, Gansu Province, China. In this study, administrative, economic and ecolog...

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Vydané v:Journal of cleaner production Ročník 164; s. 85 - 94
Hlavní autori: Ren, Chongfeng, Guo, Ping, Tan, Qian, Zhang, Liudong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 15.10.2017
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ISSN:0959-6526, 1879-1786
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Shrnutí:This paper developed a multi-objective fuzzy programming method for simultaneously optimizing the use of water and land resources for irrigation under uncertainty. The developed model was then applied to a case study in Wuwei, Gansu Province, China. In this study, administrative, economic and ecological benefits were regarded as the planning objectives. Moreover, the variations of irrigation water demand with rainfall, soil moisture content and evapotranspiration were considered in the developed model. Optimal irrigation plans were obtained under different possibility levels of fuzzy parameters. The obtained results could be helpful for decision makers to make decisions on the optimal use of irrigation water and land resources under uncertainty and multiple objectives. •This paper developed a multi-objective fuzzy programming method.•It simultaneously optimizes irrigation water amount and irrigation areas.•Rainfall, soil moisture content and evapotranspiration were considered in the developed model.•Optimal irrigation plans were obtained under different possibility levels of fuzzy parameters.•It could be helpful to make decisions under uncertainty and multiple objectives.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2017.06.185