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眉县“三生用地”分类及其空间结构分析
吴宇鑫,赵牡丹,刘婷
0
(西北大学城市与环境学院,西安 710127;武警工程大学信息工程学院,西安 710086)
摘要:
以土地的生态、生产和生活功能为导向,将土地划分为生产生态用地、生态生产用地、生活生产用地和生态用地4类,并与土地利用现状分类进行了衔接,构建了眉县的“三生用地”分类体系。然后采取雷达图、信息熵、空间洛伦兹曲线和基尼系数的方法,分析了眉县“三生用地”分布的空间结构,结果表明:(1)眉县各镇(街办)的生态生产用地和生态用地的数量差异较大;(2)眉县南北部镇(街办)的“三生用地”结构均衡性较高,信息熵水平高于中部镇(街办);(3)眉县生产生态用地在全县分布相对平均,生态生产用地和生态用地的分布相对合理,生活生产用地在全县分布差距较大。根据眉县“三生用地”的空间分布提出了结构优化的建议,旨在为规划工作提供科学参考。
关键词:  土地利用  三生用地  信息熵  洛伦兹曲线  基尼系数
DOI:10.13610/j.cnki.1672-352x.20190522.003
基金项目:国家自然科学基金(41271284)资助。
The ecological-living-industrial land classification and analysis of its spatial structure in Mei county
WU Yuxin,ZHAO Mudan,LIU Ting
(College of Urban and Environmental Science, Northwest University, Xi’an 710127;Department of Information Engineering, Engineering University of the Chinese Armed Police Force, Xi’an 710086)
Abstract:
Guided by the ecology, industrial and living functions of the land, this paper built the classification system of "ecological-living-industrial land" in Mei county by linking up with the Current Land Use Classification and dividing the land into four categories: industrial-ecological land, ecological-industrial land, living-industrial land and ecological land. Then, the spatial structure pattern of "ecological-living-industrial land" in Mei county was analyzed by means of the radar chart, entropy of information, Lorenz curve and Gene coefficient. The following conclusions are obtained: (1)The number of ecological industrial land and ecological land in Mei county was quite different. (2)In the north and south of Mei county, the structure of "ecological-living-industrial land" is relatively balanced, and the level of information entropy is higher than the midtown of Mei county; (3)The distribution of industrial-ecological land in Mei county is relatively average, as well as the distribution of ecological-industrial land and ecological land are relatively reasonable, but the distribution gap of living-industrial land in the whole county is large. According to the spatial distribution of "ecological-living-industrial land" in Mei county, some suggestions for structural optimization were put forward. The purpose is to provide scientific references for urban planning.
Key words:  land use  ecological-living-industrial land  information entropy  Lorenz curve  Gink coefficient

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