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中国农学通报 ›› 2015, Vol. 31 ›› Issue (35): 139-145.doi: 10.11924/j.issn.1000-6850.casb15070013

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于信息熵和灰色关联法的阿克苏地区建设用地动态变化研究

张静.,高敏华.   

  1. 新疆大学资源与环境科学学院;新疆大学绿洲生态教育部重点实验室,新疆大学资源与环境科学学院;新疆大学绿洲生态教育部重点实验室
  • 收稿日期:2015-07-02 修回日期:2015-10-12 接受日期:2015-10-20 出版日期:2015-12-18 发布日期:2015-12-18
  • 通讯作者: 高敏华.
  • 基金资助:

Dynamic Change of Construction Land Based on Information Entropy and Grey Correlation Analysis in Aksu Area

高敏华.   

  • Received:2015-07-02 Revised:2015-10-12 Accepted:2015-10-20 Online:2015-12-18 Published:2015-12-18

摘要: 在城市化与工业化发展的背景下,建设用地进入快速扩张时期。为了加强阿克苏地区建设用地集约节约利用程度,合理进行土地资源配置。针对阿克苏地区土地利用特点,结合阿克苏地区2004-2013年土地利用现状调查和变更数据以及社会经济发展数据,采用土地利用结构信息熵判断阿克苏地区建设用地内部结构的有序性和均衡性,运用主成分分析法提取影响建设用地变化的外部因素,并将建设用地内部结构面积比例和外部因素与信息熵进行分别进行灰色关联分析。结果表明,阿克苏地区建设用地信息熵呈现波动性上升趋势,用地结构朝无序方向发展;建设用地外部影响因素中经济发展因素和耕地因素与信息熵呈现中度相关,是建设用地变化的主要推动力。

关键词: 气候变化, 气候变化, 陇东塬区, 冬小麦, 影响

Abstract: With the development of urbanization and industrialization, construction land expanded rapidly. The aims of the study were to strengthen the intensive degree and economical utilization of the construction land in Aksu area, and reasonably allocate land resources. According to the characteristics of land use in Aksu area, based on the data of land use status quo and changes and social economic development in Aksu area from 2004 to 2013, the balance and order of the construction land structure were judged using the information entropy of land use structure. Principal component analysis was used to extract external factors leading to the changes of the construction land. Then grey correlation analysis was conducted to analyze the correlation of area proportion of different construction land types with all the external factors and information entropy, respectively. The results showed that the construction land information entropy of Aksu area showed a fluctuant increase trend and the structure of the construction land developed in a disordered direction. Economic development and cultivated land factors had moderate correlation with the information entropy of construction land, and were the main driving forces of construction land.