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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Veröffentlicht in:Journal of cleaner production Jg. 164; S. 85 - 94
Hauptverfasser: Ren, Chongfeng, Guo, Ping, Tan, Qian, Zhang, Liudong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 15.10.2017
Schlagworte:
case studies
China
decision making
evapotranspiration
Fuzzy sets
irrigation
irrigation water
land resources
Multi-objective programming
Optimal allocation
planning
rain
Soil water
soil water content
Uncertainty
Water and land
China
Soil water
Fuzzy sets
Uncertainty
Multi-objective programming
Optimal allocation
Water and land
ISSN:0959-6526, 1879-1786
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Zusammenfassung: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.
Bibliographie: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