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 |
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| Hlavní autori: | , , , |
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| Jazyk: | English |
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Elsevier Ltd
15.10.2017
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| ISSN: | 0959-6526, 1879-1786 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Author | Tan, Qian Guo, Ping Ren, Chongfeng Zhang, Liudong |
| Author_xml | – sequence: 1 givenname: Chongfeng surname: Ren fullname: Ren, Chongfeng organization: Centre of Agricultural Water Research, China Agricultural University, Beijing 100083, China – sequence: 2 givenname: Ping surname: Guo fullname: Guo, Ping email: guop@cau.edu.cn organization: Centre of Agricultural Water Research, China Agricultural University, Beijing 100083, China – sequence: 3 givenname: Qian surname: Tan fullname: Tan, Qian organization: Centre of Agricultural Water Research, China Agricultural University, Beijing 100083, China – sequence: 4 givenname: Liudong surname: Zhang fullname: Zhang, Liudong organization: College of Water Conservancy, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, China |
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| SubjectTerms | 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 |
| Title | A multi-objective fuzzy programming model for optimal use of irrigation water and land resources under uncertainty in Gansu Province, China |
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