关中地区人类活动强度与地表温度的时空关联特征及其驱动作用OA北大核心CSTPCD

The accelerating role of human activities in the rise of global temperature has become increasingly evi-dent.The scientific measurement of human activity intensity and the exploration of its spatiotemporal correlation with surface temperature has become a hot topic in research.Taking the Guanzhong area as an example,we inte-grate five indicators(population density,regional gross domestic product,nighttime light intensity,proportion of construction land area,and electricity consumption)to analyze spatiotemporal variations in human activity inten-sity and surface temperature.Furthermore,we explore the correlation and driving forces between human activity intensity and surface temperature.The results show that:(1)From 2001 to 2020,the average surface high and low temperature areas in the Guanzhong area demonstrated overall increasing and decreasing trends,respectively,with the scope of the surface high temperature areas continuously expanding.(2)The human activity intensity in the Guanzhong area gradually increased from 2000 to 2020,especially in downtown districts and major residen-tial areas of prefecture-level cities.High-intensity areas continued to expand,while low-intensity areas were main-ly located in the Qinling Mountains.(3)From 2000 to 2020,the human activity intensity in the Guanzhong area showed a significant positive correlation and spatial agglomeration with surface temperature.The area of positive correlation areas shows an increasing trend,mainly transforming from insignificant and negative correlations to positive correlation areas,with high-high type agglomeration areas primarily distributed in the main urban areas of cities,while low-low type agglomeration areas are mainly found in the Qinling Mountains.(4)Nighttime light intensity,population density,and the proportion of construction land area were identified as the most significant indicators of human activity intensity influencing surface temperature.Moreover,the explanatory power is most substantial for the interaction between nighttime light intensity and the proportion of construction land area as well as the interaction between population density and the proportion of construction land area.