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城市发展与地表温度的耦合态势及空间关系

Coupling Trend and Spatial Relationship Between UrbanDevelopment and Land Surface Temperature
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摘要 针对快速城市化引起的城市热岛效应问题,利用时间序列的DMSP/OLS和NPP/VIIRS夜间灯光数据和MODIS地表温度数据,采用总体耦合态势模型、耦合协调度模型、空间自相关模型及景观指数,探究郑州市和开封市的城市发展与地表温度的耦合态势及空间关系。结果表明,2001—2018年,郑州市和开封市夜间灯光数据的高值区经历了由点状向带状和面状发展的3种分布格局,城市间区域联系不断加强,郑开一体化发展趋势凸显。研究期内,两市的夜间灯光与地表温度重心向东迁移;郑州市夜间灯光与地表温度的重心距离由10.60 km缩短至6.66 km,开封市夜间灯光与地表温度的重心距离则由7.80 km缩短至7.38 km,夜间灯光与地表温度的总体耦合态势不断加强。郑州市和开封市的夜间灯光与地表温度协调水平不断升高,范围分别向中西部和东部扩散,且面积占比呈增加态势。两市的夜间灯光与地表温度的Moran’s I指数在研究期内分别增加至0.716和0.432,二者呈现显著的正相关关系。郑州市夜间灯光与地表温度的“高-高”和“低-低”聚集区不断扩大,且连片趋势更加显著,而开封市的聚集形态较为分散。研究结果为郑州市和开封市的热环境状况及城市健康发展提供理论参考。 In response to the urban heat island effect caused by rapid urbanization,based on long-term time series DMSP/OLS and NPP/VIIRS nighttime light data(NTL)and MODIS land surface temperature(LST)data,this study analysed the coupling trend and spatial relationship between urban development and land surface temperature in Zhengzhou and Kaifeng city,using the coupling trend model,coupling coordination degree model,spatial autocorrelation model,and landscape metrics method.The results showed that from 2001 to 2018,the high-value areas of NTL in Zhengzhou and Kaifeng city experienced three distribution patterns:from point-shaped,strip-shaped to surface-shaped.The regional connections between the cities had been continuously strengthened,and the trend of integrated development between Zhengzhou and Kaifeng had become more prominent.During the study period,the centroid of NTL and LST in the two cities shifted eastward.The distance between the centroid of NTL and LST in Zhengzhou decreased from 10.60 km to 6.66 km,while the distance decreased from 7.80 km to 7.38 km in Kaifeng.The overall coupling situation of NTL and LST had been continuously strengthened.The coordination level of NTL and LST increased continuously in Zhengzhou and Kaifeng,with the range spreading to the central and western parts of Zhengzhou and the eastern part of Kaifeng,and the area proportion showed an increasing trend.The“high-high”and“low-low”aggregation areas of NTL and LST in Zhengzhou continued to expand,while the aggregation pattern in Kaifeng was relatively dispersed.Our results provide theoretical reference for the thermal environment status and urban health development of Zhengzhou and Kaifeng.
作者 张明敏 常中兵 何茜 魏亚飞 刘德新 ZHANG Mingmin;CHANG Zhongbing;HE Xi;WEI Yafei;LIU Dexin(College of Geography and Environmental Science,Henan University,Kaifeng,Henan 475004,China;Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China,Ministry of Natural Resources,Surveying and Mapping Institute Lands and Resource Department of Guangdong Province,Guangzhou 510663,China)
出处 《遥感信息》 CSCD 北大核心 2024年第1期129-138,共10页 Remote Sensing Information
基金 中国博士后科学基金(2019M652520) 河南省科技攻关项目(232102320107)。
关键词 夜间灯光 地表温度 城市发展 耦合态势 空间自相关 nighttime light land surface temperature urban development coupling trend spatial autocorrelation
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