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基于RS与GIS的福州新区热环境空间分布特征研究 |
Spatial Distribution Characteristics of Thermal Environment in Fuzhou New District Based on RS and GIS |
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DOI: |
中文关键词: 热环境 空间分布特征 RS GIS 空间自相关分析 福州新区 |
英文关键词: Thermal environment Spatial distribution characteristic Remote sensing Geographic information system Spatial autocorrelation analysis Fuzhou New District |
基金项目:国家自然科学基金资助项目(42071300);国家社会科学基金资助项目(20BSH113);福建省中青年教师科研基金资助项目(JAS19124);福建省自然科学基金资助项目(2016J01188);福建省资源环境监测与可持续经营利用重点实验室开放基金资助项目(ZD202102) |
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中文摘要: |
采用2014—2021年福州新区的地表温度、归一化差值植被指数(NDVI)和土地利用类型等数据,从乡镇单元尺度分析热环境的空间分布情况,并探究植被和土地利用对热环境空间分布的影响。结果表明:2014—2021年福州新区地表温度在空间上有明显的空间自相关性,空间集聚特征显著,新区热岛比例指数(URI)呈现出下降趋势,表明在此期间热岛效应状况总体有所缓解;植被覆盖率(FVC)影响热环境的空间分布,可将福州新区的“热点”划分为FVC、NDVI均较低的乡镇和FVC较高、NDVI较低的乡镇两类;土地利用类型、土地利用程度及周边环境亦影响热环境的空间分布。 |
英文摘要: |
The data of surface temperature, normalized difference vegetation index (NDVI) and land use type in Fuzhou New District from 2014 to 2021 were used to analyze the spatial distribution of thermal environment from township unit scale, and the effects of vegetation and land use on the spatial distribution of thermal environment were explored. The results showed that there was an obvious spatial autocorrelation of surface temperature in Fuzhou New District from 2014 to 2021, and the spatial aggregation characteristics were significant. The urban heat island ratio index (URI) of the New District showed a downward trend, indicating that the heat island effect was generally alleviated during this period. FVC affected the spatial distribution of thermal environment. The “hot spots” in Fuzhou New District could be divided into two categories: towns with lower 〖GK!86mm〗FVC and NDVI and towns with higher FVC and lower NDVI. Land use type, land use degree and surrounding environment also affected the spatial distribution of thermal environment. |
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