结合信息熵和模糊优选的种植结构优化模型  

Optimization model of planting structure based on information entropy and fuzzy optimum selection

作　　者：李小娟[1,2] 牛俊 佟玲 陆红娜[1,2] 丁日升 李思恩[1,2] LI Xiaojuan;NIU Jun;TONG Ling;LU Hongna;DING Risheng;LI Sien(Center for Agricultural Water Research in China,China Agricultural University,Beijing 100083,China;National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture,Wuwei Gansu 733000,China)

机构地区：[1]中国农业大学中国农业水问题研究中心,北京100083 [2]甘肃武威绿洲农业高效用水国家野外科学观测研究站,甘肃武威733000

出　　处：《东北农业大学学报》2022年第9期1-7,16,共8页Journal of Northeast Agricultural University

基　　金：国家自然科学基金青年基金项目(51909262);中央高校基本科研业务费专项资金(2020TC099)。

摘　　要：种植结构优化是区域灌溉用水管理关键环节。文章提出一个结合信息熵和模糊优选的种植结构多目标优化模型(E-FOS-MOP)。信息熵引入合理界定多目标之间相对重要性,模糊优选理论引入有效处理多目标非线性问题。将信息熵方法与模糊优选理论相结合,整合到传统多目标规划模型框架中,应用于西北地区武威市凉州区种植结构规划问题,获得不同节水灌溉水平条件下种植结构优化方案。结果表明,在保障粮食安全情况下压缩小麦、玉米等粮食作物种植面积,同时推广蔬菜、瓜类等经济作物,可有效提高经济效益和综合水分生产力。E-FOS-MOP模型优于传统多目标规划模型(MOLP)和基于模糊优选的模型(FOS-MOP)。相比于现状种植结构,由E-FOS-MOP模型优化得到的效益和水分生产力均有较大提高,总耗水大幅缩减。该模型及其优化结果可为区域水资源管理提供参考。Planting structure optimization is the key step in regional irrigation water management.In this paper, a multi-objective optimization model(E-FOS-MOP) based on information entropy and fuzzy optimum selection was proposed. The introduction of information entropy reasonably reflected the relative importance of multi-objectives and the introduction of fuzzy optimum selection theory effectively dealed with the nonlinear problems of multi-objectives. The method of information entropy and fuzzy optimum selection theory were integrated into the framework of traditional multi-objective programming model, and applied to the planting structure problem of Liangzhou area of Wuwei City in northwest China. The planting structure optimization schemes under different water-saving levels were obtained.The results showed that the economic benefit and water productivity could be improved effectively, by reducing food crops like wheat and maize and promoting cash crops, such as vegetable and cucurbit,under the condition of ensuring food security. The E-FOS-MOP model was superior to the traditional multi-objective programming model(MOLP) and the fuzzy optimum selection-based model(FOS-MOP).Comparing with the existing situation, the benefit and water productivity optimized by E-FOS-MOP model increased dramatically and the evapotranspiration decreased obviously. The proposed model and its optimization results could provide some references for regional water resource management.

关 键 词：种植结构 优化 多目标 信息熵 模糊优选 

分 类 号：S274[农业科学—农业水土工程]