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作 者:刘贺 赵琳琳 王慧 李松波 Liu He;Zhao Linlin;Wang Hui;Li Songbo(Department of Geography,Anshan Normal University,Anshan 114007,Liaoning,China;College of Science,Shenyang University,Shenyang 110044,Liaoning,China)
机构地区:[1]鞍山师范学院地理科学系,辽宁鞍山114007 [2]沈阳大学理学院,辽宁沈阳110044
出 处:《绿色科技》2025年第5期155-160,共6页Journal of Green Science and Technology
基 金:辽宁省教育厅高校基本科研项目(编号:LJ202410169003);鞍山市哲学社会科学研究重点研究项目(编号:as2024076)。
摘 要:基于数字高程模型(DEM)、遥感影像和POI等多源数据,构建人居环境综合适宜性指数,结合熵值法和空间自相关分析,对2023年鞍山市乡村人居环境适宜性进行系统分析,并探讨其与人口分布的协调关系。结果表明:(1)鞍山市自然环境适宜性呈现“南高北低,南北高中间低”的空间分布格局,人文环境适宜性表现为多核心分布,综合适宜性既体现了自然环境的南北差异,又反映了人文环境的多核心特征;(2)高适宜性区域面积占比仅3.40%,主要集中于乡镇中心,大部分区域仍处于低适宜性状态;(3)自然、人文和综合适宜性均表现出显著的空间自相关性,其中人文环境适宜性空间集聚性最强;(4)人文环境与综合适宜性与人口密度呈显著正相关关系,自然环境适宜性与人口密度呈负相关关系。Based on multi-source data such as digital elevation model(DEM),remote sensing images,and points of Interest(POI),this study constructs a comprehensive human settlement suitability index.Using the entropy weight method and spatial autocorrelation analysis,the suitability of rural human settlements in Anshan in 2023 is systematically analyzed,and its coordination with population distribution is investigated.The results show that:①the natural environment suitability of Anshan exhibits a spatial pattern of"high in the south and north,low in the middle",while the human environment suitability shows a multi-core distribution.The comprehensive suitability reflects both the north-south disparity in the natural environment and the multi-core characteristics of the human environment;②high-suitability areas account for only 3.40%of the total area,mainly concentrated in township centers,with most areas remaining in a low-suitability state;③natural,human,and comprehensive suitability all exhibit significant spatial autocorrelation,with the strongest spatial clustering observed in human environment suitability;④human environment and comprehensive suitability are significantly positively correlated with population density,while natural environment suitability is negatively correlated with population density.
关 键 词:人居环境 适宜性评价 空间自相关 多源数据 鞍山
分 类 号:TU984[建筑科学—城市规划与设计]
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