Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective non-linear optimization model under uncertainty

•Agricultural water and land resources are optimized simultaneously under complex uncertainties.•Performances of economic, environmental and social dimensions are coordinated and assessed.•Uncertainties expressed as fuzzy set associating credibility and hesitations are tackled.•Interrelationships am...

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Vydané v:Agricultural systems Ročník 178; s. 102685
Hlavní autori: Li, Mo, Fu, Qiang, Singh, Vijay P., Liu, Dong, Li, Tianxiao, Zhou, Yan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.02.2020
Predmet:
Agricultural water and land
case studies
China
decision making
Fuzzy uncertainty
global warming potential
irrigation
land resources
model validation
Multi-objective non-linear programming
Optimal allocation
resource allocation
Sustainability
uncertainty
water pollution
China
Multi-objective non-linear programming
Optimal allocation
Fuzzy uncertainty
Sustainability
Agricultural water and land
ISSN:0308-521X, 1873-2267
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Shrnutí:•Agricultural water and land resources are optimized simultaneously under complex uncertainties.•Performances of economic, environmental and social dimensions are coordinated and assessed.•Uncertainties expressed as fuzzy set associating credibility and hesitations are tackled.•Interrelationships among water and land strategies, GHG emissions, and credibility levels are evaluated. This study presents an optimization model for the allocation of agricultural water and land resources under uncertainty. The model incorporates intuitionistic fuzzy numbers, fuzzy credibility-constrained programming, mixed-integer non-linear programming, and multi-objective programming into a general framework. The model is capable of (1) balancing the trade-off among economic, environmental, and social considerations in an irrigated agricultural system; (2) optimally allocating limited agricultural water and land resources simultaneously; and (3) dealing with the complexities of non-linearity and fuzzy uncertainties concurrently occurring in both parameters and constraints to objectively reflect practical issues in agricultural water and land resources allocations. The developed model is applied to a real case study in northeast China. The net system benefits, global warming potential, water pollution, resource allocation equity, and agricultural water and land allocation schemes among different subareas in different crop growth periods are obtained under various scenarios. The performance of the model is assessed with alternative schemes. The model can help decision makers realize how much confidence one can have in the optimal solutions and manage agricultural water and land resources in a more efficient and environment-friendly way.
Bibliografia:ObjectType-Article-1
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ISSN:0308-521X
1873-2267
DOI:10.1016/j.agsy.2019.102685