An interval multi-objective programming model for irrigation water allocation under uncertainty
•A multi-objective model under uncertainty for sustainable irrigation allocation is developed.•Interval values of hydrological elements under different frequencies are generated.•Contradictions among benefit, yield and water-saving can be tackled.•Optimal irrigation schemes are obtained and analyzed...
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| Vydané v: | Agricultural water management Ročník 196; s. 24 - 36 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
31.01.2018
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| ISSN: | 0378-3774, 1873-2283 |
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| Abstract | •A multi-objective model under uncertainty for sustainable irrigation allocation is developed.•Interval values of hydrological elements under different frequencies are generated.•Contradictions among benefit, yield and water-saving can be tackled.•Optimal irrigation schemes are obtained and analyzed under different scenarios.
An interval linear multi-objective programming (ILMP) model for irrigation water allocation was developed, considering conflicting objectives and uncertainties. Based on the generation of interval numbers through statistical simulation, the ILMP model was solved using a fuzzy programming method. The model balances contradictions among economic net benefit, crop yield and water-saving in irrigation systems incorporating uncertainties in both objective functions and constraints that are based on the conjunctive use of surface water and groundwater. The model was applied to Hulan River irrigation district, northeast China. Tradeoffs between various crops in different subareas under different frequencies were analyzed, and scenarios with different objectives were considered to evaluate the changing trend of irrigation water allocation.Results indicated that the ILMP model provided effective linkages between revenue/output promotion and water saving, and offers insights into tradeoffs for irrigation water management under uncertainty. |
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| AbstractList | •A multi-objective model under uncertainty for sustainable irrigation allocation is developed.•Interval values of hydrological elements under different frequencies are generated.•Contradictions among benefit, yield and water-saving can be tackled.•Optimal irrigation schemes are obtained and analyzed under different scenarios.
An interval linear multi-objective programming (ILMP) model for irrigation water allocation was developed, considering conflicting objectives and uncertainties. Based on the generation of interval numbers through statistical simulation, the ILMP model was solved using a fuzzy programming method. The model balances contradictions among economic net benefit, crop yield and water-saving in irrigation systems incorporating uncertainties in both objective functions and constraints that are based on the conjunctive use of surface water and groundwater. The model was applied to Hulan River irrigation district, northeast China. Tradeoffs between various crops in different subareas under different frequencies were analyzed, and scenarios with different objectives were considered to evaluate the changing trend of irrigation water allocation.Results indicated that the ILMP model provided effective linkages between revenue/output promotion and water saving, and offers insights into tradeoffs for irrigation water management under uncertainty. An interval linear multi-objective programming (ILMP) model for irrigation water allocation was developed, considering conflicting objectives and uncertainties. Based on the generation of interval numbers through statistical simulation, the ILMP model was solved using a fuzzy programming method. The model balances contradictions among economic net benefit, crop yield and water-saving in irrigation systems incorporating uncertainties in both objective functions and constraints that are based on the conjunctive use of surface water and groundwater. The model was applied to Hulan River irrigation district, northeast China. Tradeoffs between various crops in different subareas under different frequencies were analyzed, and scenarios with different objectives were considered to evaluate the changing trend of irrigation water allocation.Results indicated that the ILMP model provided effective linkages between revenue/output promotion and water saving, and offers insights into tradeoffs for irrigation water management under uncertainty. |
| Author | Fu, Qiang Singh, Vijay P. Liu, Dong Li, Mo |
| Author_xml | – sequence: 1 givenname: Mo surname: Li fullname: Li, Mo organization: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China – sequence: 2 givenname: Qiang surname: Fu fullname: Fu, Qiang email: fuqiang0629@126.com, fuqiang@neau.edu.cn organization: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China – sequence: 3 givenname: Vijay P. surname: Singh fullname: Singh, Vijay P. organization: Department of Biological and Agricultural Engineering & Zachry Department of Civil Engineering, Texas A & M University, 201 Scoates Hall, 2117 TAMU, College Station, TX 77843-2117, USA – sequence: 4 givenname: Dong surname: Liu fullname: Liu, Dong organization: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China |
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| Title | An interval multi-objective programming model for irrigation water allocation under uncertainty |
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