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辽宁省生态环境与城市化协调发展定量评价 被引量:4

Quantitative Evaluation of Coordinated Development of Ecological Environment and Urbanization in Liaoning Province
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摘要 针对辽宁省生态环境与城市化发展现状,通过构建生态环境与城市化评价指标体系,利用主成分分析法和可变模糊识别法分析其综合发展水平及二者的协调程度,在此基础上,以2010年为典型年,根据协调发展度模型分析了辽宁省14个地级市的生态环境与城市化的协调发展程度,进而评价二者的协调发展状况。结果表明,2000~2010年辽宁省生态环境与城市化的综合发展水平及协调程度在逐年上升趋势下保持动态平衡;2010年14个地级市中大连市、沈阳市的生态环境和城市化协调发展水平最高,葫芦岛市最低;辽宁省各地级市生态环境与城市化协调发展程度均处于中高水平,部分城市生态环境相对滞后于城市化发展。 For the status of ecological environment and urban development in Liaoning Province, the index system of the ecological environment and urbanization was established. The principal component analysis (PCA) and variable fuzzy recognition analysis is used to analyze the comprehensive development level and coordination degree. In this context, the year of 2010 was selected as the typical year. Based on the coordinated development degree model, the coordinated development degree and situation of the ecological environment and urbanization of 14 cities in Liaoning Province was determined. The results show that the comprehensive development level and coordination degree kept an increasing trend year by year and was in dynamic balance. Dalian and Shenyang city have the highest level of the coordinated development of the ecological environment and urbanization, and Huludao city has the lowest level in the 14 cities in Liaoning Province. On the whole, the levels of the coordinated development of the ecological environment and urbanization of the cities in Liaoning Province are in middle high level. However, some of the cities’ ecological environment was lagged behind the urbanization development in Liaoning Province.
出处 《水电能源科学》 北大核心 2014年第2期155-158,共4页 Water Resources and Power
基金 水沙科学与水利水电工程国家重点实验室2012年对外开放研究基金(sklhse-2012-A-02)
关键词 生态环境 城市化 主成分分析法 可变模糊识别 协调发展 辽宁省 ecological environment urbanization principal component analysis variable fuzzy recognition coordinated development Liaoning Province
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