基于优化LESA模型的高标准基本农田划定方法研究——以重庆市合川区为例  

High Standard Farmland Demarcation Method Based on Optimized LESA Model—Take Hechuan District of Chongqing as An Example

作　　者：程杨[1] 骆云中[1] 王帅 杨思思[1] CHENG Yang;LUO Yun-zhong;WANG Shuai;YANG Si-si(College of Resources and Environment, Southwest University, Chongqing 400715, PRC;Shanxi Land Construction Group, Xi’an 710075, PRC)

机构地区：[1]西南大学资源环境学院,重庆400715 [2]陕西省土地工程建设集团,陕西西安710075

出　　处：《湖南农业科学》2017年第2期62-66,70,共6页Hunan Agricultural Sciences

基　　金：国家科技支撑计划课题(2015BAD06B04)

摘　　要：为了摆脱层次分析法在LESA模型指标权重计算方法的不足,采用插值标度、建立调和函数的方法,对三标度法进行优化,计算矩阵权重向量和最大特征值,建立LESA指标权重排序模型,并划定重庆市合川城区周边基本农田为9 434.26 hm2。从模型来看,影响耕地质量的指标权重由大到小排列分别为气候条件、地形条件、土壤条件;影响立地条件的指标权重由大到小排列分别为区位条件、发展条件、利用强度。新方法包含传统层次分析法标度,摆脱了传统方法中元素对比阈值差异绝对值偏大的问题,在矩阵运算上的复杂性降低,且赏罚机制的触发在元素重要性对比中成功地控制了偏离平均值的元素值。该方法有较好的适应性,是优化LESA模型指标权重计算的有效方法。In order to get rid of the problem of calculating the weight of LESA model index by analytic hierarchy process, the interpolation scale and harmonic functions were applied to optimize three-scale manner and calculate matrix weighting vectors as well as eigenvalue of maximum. LESA total ranking index weights model was established and the basic farmland around Hechuan was defined as9 434.26 hm2. The weights of the indicators affecting the quality of the cultivated land were the climatic condition, the terrain condition,the soil condition. Weights of the indicators affecting the site conditions were location condition, development condition, utilization intensity. Conventional AHP was adapted to scale, which has solved the problem of lightly large absolute threshold differences. In addition,the complexities of matrix calculation were reduced. Furthermore, triggering the reward mechanism had successfully controlled element value of deviating from the average in the cooperation of elementary importance. The method of this article had properly great adaptation;meanwhile it was also an effective and feasible method to optimization of LESA model weight calculation.

关 键 词：调和函数 层次分析法 LESA 指标权重 合川区 

分 类 号：S274[农业科学—农业水土工程] S274[农业科学—农业工程]