Managing agricultural water and land resources with tradeoff between economic...

雩风三日

Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective nonlinear optimization model under uncertainty
在经济、环境和社会的权衡下管理农业水土资源:一个不确定下的多目标非线性优化模型

      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.
    本文提出了一个不确定条件下农业水土资源配置的优化模型。该模型将直觉模糊数、模糊可信度约束规划、混合整数非线性规划和多目标规划整合到一个总体框架中。该模型能够(1)在灌溉农业系统中平衡经济、环境和社会因素之间的平衡;(2)优化配置有限的农业水土资源;(3)处理参数和约束中同时存在的非线性和模糊不确定性的复杂性，以客观反映农业水土资源配置的实际问题。并以东北地区为例进行了实证研究。得到了不同情景下不同作物生育期不同分区的净系统效益、全球变暖潜力、水污染、资源分配公平以及农业用水和土地分配方案。模型的性能用替代方案来评估。该模型可以帮助决策者认识到自己对最优解决方案的信心，并以更有效、更环保的方式管理农业水土资源。

Keywords:Agricultural water and land;Optimal allocation;Sustainability;Multi-objective non-linear programming;Fuzzy uncertainty
关键词:农业水地;优化配置;可持续性;多目标非线性规划;模糊不确定性