Optimal decision schemes for agricultural water quality management planning with imprecise objective
Optimal decision schemes for agricultural water quality management planning with imprecise objective
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DOI：
10.1016/j.agwat.2009.07.011
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发表时间：
2009-12
影响因子：
6.7
通讯作者：
Xiaodong Zhang;G. Huang;X. Nie
中科院分区：
文献类型：
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作者：
Xiaodong Zhang;G. Huang;X. Nie
农业活动是农村地区地表水和地下水污染的主要来源。农业生产中大规模的土壤扰动和化肥、粪肥的施用造成了土壤和氮、磷等养分的非点源损失。如何为造成非点源水污染的农业活动产生优选的决策方案是决策者面临的一个关键问题。在这项研究中，一个不精确的农业水质管理（IAWQM）模型的开发和应用的案例研究，以产生最佳的决策方案，在农业系统内的综合水质管理。该模型是基于一个混合模糊可能性鲁棒规划方法，它改进了现有的模糊可能性规划和模糊鲁棒规划方法，允许模糊信息模型的目标和约束直接沟通到优化过程和结果的解决方案。农业活动的最佳决策方案，可以产生，包括种植面积，粪肥/化肥的应用，畜牧业规模，水质/水量限制实现区域经济发展目标的影响进行了研究。案例研究的结果表明，有用的信息，可以通过建议IAWQM模型提供可行的决策方案，这反映了经济和环境考虑之间的权衡。决策变量是有用的决策者，以证明和/或调整决策方案的农业活动，通过纳入他们的隐性知识的水质管理。
Agricultural activities are the main sources of water pollution to surface water and groundwater in rural areas. Extensive soil disturbance and application of fertilizer and manure in agriculture cause nonpoint source losses of soil and nutrients such as nitrogen and phosphorus. How to generate preferred decision schemes for agricultural activities that cause such nonpoint source water pollution is a critical issue for the decision makers. In this study, an inexact agricultural water quality management (IAWQM) model is developed and applied to a case study to generate optimal decision schemes for integrated water quality management within an agricultural system. The model is based on a hybrid fuzzy possibilistic robust programming approach, which improves upon the existing fuzzy possibilistic programming and fuzzy robust programming methods by allowing fuzzy information in the model's objective and constraints to be directly communicated into the optimization processes and resulting solutions. Optimal decision schemes for agricultural activities can be generated, including cropping area, manure/fertilizer applied, and livestock husbandry size, where implications of water quality/quantity restrictions for achieving regional economic development objectives are studied. The results of the case study indicate that useful information can be obtained through the proposed IAWQM model for providing feasible decision schemes, which reflect tradeoffs between economic and environmental considerations. The decision variables are useful for the decision makers to justify and/or adjust the decision schemes for agricultural activities through incorporation of their implicit knowledge on water quality management.