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滇中城市群地表温度时空演变及其与LULC的响应

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[目的]探讨滇中城市群的地表温度(land surface temperature,LST)时空变化及其与土地利用/覆盖(land use/land cover,LULC)类型的关系。[方法]基于 Google Earth Engine(GEE)平台,利用 1990-2020年滇中城市群区域的Landsat卫星影像数据反演LST,并采用Sen-MK趋势分析、均值—标准差法、城市热方差指数(urban thermal field variance index,UTFVI)和相关性分析等定量分析1990-2020年滇中城市群的LST时空变化及其与LULC类型的响应关系。[结果](1)滇中城市群的年际温度等级存在显著时空差异,中温区始终占据绝对主导地位(40%),但其面积占比逐年下降。(2)1990-2020年,UTFVI<0的区域呈逐年增加趋势,UTFVI>0。02的区域呈下降趋势,生态热环境逐渐改善。(3)不同LULC类型的LST存在响应差异。其中,LST与建筑用地的面积占比呈显著正相关(r>0。70)。1990-2020年水域的LST始终最低,多年平均温度为17。38 ℃,而建筑用地和耕地覆盖的地区温度最高,多年平均温度均高于21 ℃。(4)1990-2020年,滇中城市群城市迅速扩张,LULC变化显著,建筑用地面积增长100。29%,城市的快速发展使LST升高。[结论]LULC是影响LST的重要因素,合理配置LULC结构,能够改善城市群热环境。研究结果可为滇中城市群的合理开发规划及改善生态条件提供重要见解。
Spatio-temporal Evolution of Land Surface Temperature and Its Response to LULC in the Urban Agglomeration of Central Yunnan
[Objective]To investigate the spatial and temporal variations of land surface temperature(LST)in central Yunnan urban agglomeration and its relationship with land use/land cover(LULC)types.[Methods]Based on Google Earth Engine(GEE)platform,LST was inverted using Landsat satellite image data of central Yunnan urban agglomeration region from 1990 to 2020,and was analyzed using Sen-MK trend analysis,mean-standard deviation method,urban thermal field variance index(UTFVI)and correlation analysis were used to quantitatively analyze the spatial and temporal variations of LST and its response to LULC types in central Yunnan urban agglomeration from 1990 to 2020.[Results](1)There were significant spatial and temporal differences in interannual temperature classes in central Yunnan urban agglomeration.The mesothermal area always occupied an absolutely dominant position(40%),but its area share decreased year by year.(2)From 1990 to 2020,the areas with UTFVI 0 showed an increasing trend year by year,and the areas with UTFVI>0.02 showed a decreasing trend,and the ecological and thermal environments were gradually improved.(3)There were response differences in LST for different LULC types.Among them,LST was significantly positively correlated with the proportion of built-up area(r>0.70).LST was always the lowest in the water area,with a multi-year average temperature of 17.38 ℃,while the highest temperature was found in the area covered by built-up land and cropland,with multi-year average temperatures above 21 ℃.(4)The rapid expansion of cities in the central Yunnan urban agglomeration had resulted in significant changes in LULC.The built-up land area had increased by more than 100.29%,and the rapid development of cities had increased LST from 1990 to 2020.[Conclusion]LULC is an important factor affecting the LST,and reasonable configuration of LULC structure can improve the thermal environment of urban agglomeration.The study's results can provide important insights for rational development planning and improvement of ecological conditions in the urban agglomeration of central Yunnan.

Google Earth EngineLandsatland surface temperatureLULCresponse analysiscentral Yunnan urban agglomeration

林之强、彭双云、施双富、黄帮梅、马岽玲、朱紫怡、马小亮、龚陆平

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云南师范大学地理学部,昆明 650500

西部资源环境地理信息技术教育部工程研究中心,昆明 650500

昆明市第十中学,昆明 650011

云南大学生态与环境学院,昆明 650500

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Google Earth Engine Landsat 地表温度 LULC 响应分析 滇中城市群

2024

水土保持学报
中国土壤学会 中国科学院水利部水土保持研究所

水土保持学报

CSTPCD北大核心
影响因子:1.226
ISSN:1009-2242
年,卷(期):2024.38(6)