Research on Landuse Change Response Based on Information Entropy --A Case Study of Langzhong City, Sichuan Province

ZHOU Du-hui; WANG You-han; LI Tong-sheng

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Research on Landuse Change Response Based on Information Entropy --A Case Study of Langzhong City, Sichuan Province

- Research on Landuse Change Response Based on Information Entropy --A Case Study of Langzhong City, Sichuan Province
- Bulletin of Soiland Water Conservation Vol. 29, Issue 1, Pages: 134-138(2010)
- 作者机构：
  
  1. 西北大学城市与资源学系,陕西,西安,710127
  2. 西华师范大学国土资源学院,四川,南充,637000
- 作者简介：
- 基金信息：
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- Published：2010
- 稿件说明：
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ZHOU Du-hui, WANG You-han, LI Tong-sheng. Research on Landuse Change Response Based on Information Entropy --A Case Study of Langzhong City, Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2010, 29(1): 134-138.
DOI：

ZHOU Du-hui, WANG You-han, LI Tong-sheng. Research on Landuse Change Response Based on Information Entropy --A Case Study of Langzhong City, Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2010, 29(1): 134-138. DOI：

摘要

应用熵值函数模型和灰色关联分析

对阆中市土地利用结构变化的响应机理做了定量化分析。结果表明

1997-2006年10a间

阆中市土地利用结构信息熵基本呈稳定态势

土地利用系统的有序度较高。1997-2002年地均产值、公路密度、社会商品零售总额、非农人口比重、非农产业和农产业的产值比、固定资产投资为强关联要素

其关联度达到0.70以上

人均GDP为中关联要素

关联度为0.65769。而2003-2006年

7项指标均演变为中关联要素

均在0.35～0.70之间。研究认为政府行为和社会经济因素是影响其土地利用结构变化的两个主要驱动因子。

Abstract

Using the entropy model and grey correlation analysis and taking Langzhong City

Sichuan Province as an example

this paper analyzes the structure of landuse changes and the response mechanisms in the city.The grey correlation analysis indicates that the information entropy of landuse structure in Langzhong City was stable during the last decade.From 1997 to 2002

landuse structure entropy was closely related to per-land GDP

road density

retail sales of consumer goods

proportion of non-agricultural population

land economy density

ratio of non-agriculture and agriculture

and the correlation degree of above 0.70.The entropy was moderately related to per-capital GDP

with the correlation degree being 0.657 69.However

between 2003 and 2006

landuse structure entropy was moderately related to all the above seven factors

with the correlation degree ranging from 0.35 to 0.70.Further research suggests that socio-economic factors and government action are two main driving forces to the changes in landuse structure.

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