Evaluation of urban heat island based on the land surface temperature and spatial variables in Tabriz

Abstract

In this study, the relationship between land surface temperature (LST) and spatial variables in Tabriz Metropolitan city was investigated using Land sat 8 OLI/TIRS images for summer and winter of 2018. For this, LST was calculated in accordance with the algorithm (Jimenez-Munoz& Sobrino, 2003) and proximity variables were prepared based on Distance Function in Arc GIS. According to the LST map obtained, down town area in Tabriz city experienced lower temperature than the suburban areas during day time. Some of the contributing factors such as population density, elevation, proximity to green space, could decrease the surface temperature, but on the other hand, the residential, industrial, religious and bare lands could increase the temperature in the city. Results of multiple linear regression analysis between LST and explanatory variables showed the model could estimate 63.7 % of the dependant variable in summer and 61.7% of it in winter. Based on the Beta, the results showed negative correlation between LST and some of the independent variables as, Population density, Elevation, proximity to green space, military and educational areas. Also, the one- way ANOVA test revealed that the difference between mean average temperature of various land use type were not significant