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辽宁省城市发展的自然地理背景质量分析 被引量:3

Analysis on the physical geographical factors of urban development in Liaoning Province
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摘要 基于自然地理背景对区域发展的重要影响,从地理位置条件、自然环境因素、自然资源基础、生态环境状况4个子系统着手,构建了辽宁省城市发展的自然地理背景评价指标体系,采用熵值法对辽宁省城市发展的自然地理背景水平进行了综合测度.研究表明:(1)辽宁省14个城市发展的自然地理背景水平差异十分显著,大连市的综合得分最高,为5.647 0,约为综合得分最低的盘锦市的3倍;(2)辽宁省城市发展的自然地理背景水平大致呈现出由辽东南向辽西北递减的趋势,区域差异性特征明显;(3)把辽宁省14个城市发展的自然地理背景水平划分为5种类型,辽宁省城市自然地理背景水平以中高水平为主,中高水平地区面积占全省总面积的69.96%.概括分析了各城市存在的问题,并就其未来发展方向进行了探讨. Based on the essential influences of the physical geographical factors on regional development,we construct the evaluation index system of the physical geographical factors of urban development in Liaoning Province by considering four aspects,namely the geographical location conditions,the natural environment factors,the natural resource foundations and the environmental conditions.An entropy method to comprehensively measure the quality of the physical geographical factors of urban development in Liaoning Province is employed in this work.The results shows that the differences of the level of the physical geographical factors of urban development is very significant.Dalian wins the highest scores,5.6470,which is about three times as the lowest scores belongs to the city of Panjin.The level of the physical geographical factors of urban development generally emerges a decreasing trend from the southeast to the northwest.The characteristic of regional differences is very notable.According to the overall scores,the levels of the physical geographical factors of urban development of 14 cities are classified into five categories.The levels of the physical geographical factors of urban development are mainly in both middle and high levels,which accounts for 69.96 percent of the province's total area.By summarizing the characteristics of each city in detail,we analyse the existing problems and discusse their future developments.
出处 《辽宁师范大学学报(自然科学版)》 CAS 2016年第1期103-110,共8页 Journal of Liaoning Normal University:Natural Science Edition
基金 国家自然科学基金项目(41171137) 教育部博士点基金项目(20132136110001) 辽宁省高等学校优秀科技人才支持计划项目(LR2013050)
关键词 城市发展 自然地理背景 熵值法 辽宁省 urban development the physical geographical factors entropy method Liaoning Province
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