西南山地丘陵区永久性基本农田的多目标决策划定方法  

Delimitation of permanent basic farmland in mountain and hill areas in southwest China based on multiple-objective decision model

作　　者：曾吉彬 邵景安[2] 魏朝富[1] 谢德体[1] 

机构地区：[1]西南大学资源环境学院,重庆400715 [2]重庆师范大学地理与旅游学院,重庆400047

出　　处：《农业工程学报》2014年第16期263-274,共12页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金面上项目(41371275);国家科技支撑计划课题(2013BAJ11B03)

摘　　要：为科学地引导西南山地丘陵区永久性基本农田的划定，该文以重庆市垫江县为例，通过层次分析法、熵权系数法、TOPSIS法（technique for order preference by similarity to an ideal solution）和约束因子建立决策模型体系，结果表明：耕地指标中灌溉保证率、平均降雨量、交通和农村居民点辐射的自身优势突出。土壤质量各指标平均值（介于0.2～0.75之间）、标准差（介于0.09～0.3之间）、变异系数（介于13～75之间）为中等以下水平。自然条件中，灌溉保证率和耕地连片性的综合权重最大，大于10℃积温和平均降雨量的综合权重最小、且指标值的区间变化最大；土壤质量中，有机碳在层次分析法下权重最大；距离条件中，入选耕地受城镇的辐射作用明显、区位优势突出。耕地在入选重要程度上，依次排序前4位的是灌溉保证率、耕地连片性、城镇的辐射和土壤有机碳，测度和贴近度显示，地块间优劣接近，距离条件整体较优。耕地的入选从贴近度等级划分为：重点型、适宜型、调控型、后备型，约束条件下调出的地块为优势耕地（即重点型和适宜型）。最终划定成果显示适宜型和调控型比例增大，重点型和后备型比例减小。并利用数据验证了该决策模型体系的合理性、规范化和可行性。In order to guide the delimiting permanent basic farmland in the mountain and hill areas, this paper sets up a multiple-objective decision model by using Chongqing Dianjiang as an example. The model is supported by data analysis using ArcGIS 10.1 and other software based on the 2012 Second Land Survey data and Land Use Overall Planning data of 25 towns, basic farmland planning data, soil data, and investigation of county and country Land and Resource departments using spatial distribution products of more than 10℃ accumulated temperature in the cloud platforms of Geography National Condition monitoring. The model is also supported by the AHP （Analytic Hierarchy Process）, Entropy Coefficient Method, TOPSIS （Technique for Order Preference by Similarity to an Ideal Solution）, and constraint fact. First, the subjective weight of each index is given based on the AHP method by analyzing and erecting the judgment matrix. The objective weight is obtained by using the Entropy Coefficient Method by building the judgment matrix to a normalized process. The value of measurement and closeness of positive and negative ideal points is reflected through erecting Euclidean distance in the normalized matrix. The higher was the value of measurement and closeness, the higher was the priority of land. The call-out qualifications of farmland are confirmed by the constraint fact method in 4 investigations, which supplies the conditions of the Construction land or general farmland. The paper concludes that in the standardized normal outcome of the farmland decision index, the optimum conditions are farmland irrigation, rainfall, transportation, and rural residential radiation. For most soil quality indexes, the range of equal value, STD, and CV are [0.2, 0.6], [0.1, 0.3], and [13, 75]. Overall, the value of CV is below medium while existing comparable large areas have a high value or a low value. Variation in subjective and objective weights of these indexes, after normalization, causes the maximum weight to be farmland irriga

关 键 词：土地利用 标准化 层次分析法 永久性基本农田 规范化 优劣排序 优先级别 

分 类 号：F301.2[经济管理—产业经济]