水土保持通报2016，Vol.36Issue(5)：191-197,7.DOI:10.13961/j.cnki.stbctb.2016.05.038
基于DPSIR-灰色关联模型的重庆市土地生态安全评价
Dynamic Evolution of Land Ecological Security Based on DPSIR-Grey Correlation Model in Chongqing City
摘要
Abstract
Objective] A preliminary exploration on the quantitative evaluation of land ecological security was made in Chongqing City in order to provide support and theoretical reference for land ecological security research and the ecological environment construction . [Methods ] Based on the conceptual framework of driving force‐pressure‐state‐impact‐response(DPSIR) ,land ecological security evaluation index system was estab‐lished .Grey correlation model was used to give weights for the land ecological security index to evaluate land ecological security of Chongqing City from 1997 to 2012 .[Results] The land ecological security showed a gradual downward trend ,as it was a sensitive situation during 1997—1998 ,2003—2009 and 2012 ,a safe sit‐uation during 1999—2002 ,and a insecurity situation during 2010—2011 .The land ecological security index of driving force and pressure fluctuated slightly and showed a downward trend .The state index and response index showed an overall growth trend , while the impact safety index showed a fluctuated change . [Conclusion] The adjustment of industrial structure , environmental protection , and increase of capital investment and the improvement of technology ,the improvement of agricultural production ,increase of the forest coverage and enhancement of the response of land ecological security ,is the fundamental guarantee of land ecological security in Chongqing City .T he evaluation model and index system in the present study is re‐liable and can be used in land ecological security evaluation .关键词
土地/DPSIR/灰色关联/生态安全/重庆市Key words
land/DPSIR framework/grey correlation/ecological security/Chongqing City分类
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孙德亮,张凤太..基于DPSIR-灰色关联模型的重庆市土地生态安全评价[J].水土保持通报,2016,36(5):191-197,7.基金项目
国家自然科学基金项目“喀斯特城市边缘带土地利用／覆盖变化及其环境效应”（41261038）；国家自然科学基金项目“基于复杂网络聚类的应急救援中心动态选址优化研究”（41271411）；重庆市自然科学基金“基于复杂网络的最优减灾理论与方法研究” （）
