Correlation between land surface temperature inversion (based on Landsat-8) and PM2.5 concentration: Taking Guangzhou as an example

摘要

Guangzhou as the political, economic and cultural center of Southern China, the social economy has achieved rapid development and urban spatial structure changed dramatically after 30 years of reform and opening up. With the accelerated process of urbanization, environmental problems have become increasingly serious and urban heat island effect in many environmental problems are particularly prominent, causing more and more attention. In this study, Landsat-8 satellite data is used to inverse the 4 periods (October 2014, November 2014, January 2015 and October 2015) LST (land surface temperature) of Guangzhou. At the same time, the PM2.5 monitoring data in the Landsat-8 satellite transit time will be collected according to the “Real Time Air Quality of Guangzhou” released by Guangzhou Environmental Monitoring. This study selected concentration of PM2.5 monitoring data from 32 monitoring stations and interpolated the Guangzhou PM2.5 concentration distributions through ordinary Kriging. Combined with LST and PM2.5 concentration distributions in Guangzhou, determine the difference and correlation between PM2.5 and LST by using statistical analysis software. The results showed that the LST and PM2.5 concentration in old district just like Liwan, Yuexiu, Haizhu and new industrial park were significantly higher than that of Panyu, Conghua, Zengcheng and other new district. PM2.5 concentration distribution trends and LST inversion results have a certain degree of correlation. Correction factor in regression analysis of sampling point (LST and PM2.5) is greater than the threshold 0.8 which means a high degree of fit.