广州市热岛效应时空演变特征与影响因素分析OA

In order to explore the spatio-temporal evolution characteristics and driving mechanisms of urban heat island effect in the main urban area of Guangzhou City,we analyzed the spatio-temporal changes of urban heat island effect from 2004 to 2024 based on Landsat remote sensing data,and used GeoDetector to analyze the explanatory power of normalized vegetation index(NDVI),normalized difference bare land and built-up land index(NDBBI),population density and nighttime light intensity on the urban heat island effect.Then,we used Pearson correlation analysis method to analyze the correlation between NDVI,NDBBI and the urban heat island effect.The results show that the surface temperature in the main urban area of Guangzhou City shows a rapid growth trend in the eastern region,the high value areas of urban heat island effect are mainly concentrated in the southwest and eastern regions,and the urban heat island phenomenon is most significant in summer.NDVI and NDBBI have the strongest explanatory power for urban heat island effect,and the interaction between the driving factors shows a double-factor enhancement effect.NDBBI is significantly positively correlated with the urban heat island effect,while NDVI is positively correlated with the urban heat island effect in the eastern region and negatively correlated in the other regions.