<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10013380" mdate="2023-11-27 00:00:00"> <author>Jinrui Ren and Li Wu</author> <title>Analysis on Spatiotemporal Pattern of Land Surface Temperature in Kunming City, China</title> <pages>448 - 456</pages> <year>2023</year> <volume>17</volume> <number>11</number> <journal>International Journal of Urban and Civil Engineering</journal> <ee>https://publications.waset.org/pdf/10013380</ee> <url>https://publications.waset.org/vol/203</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Anthropogenic activities and changes of underlying surface affect the temporal and spatial distribution of surface temperature in Kunming. Taking Kunming city as the research area, the surface temperature in 2000, 2010 and 2020 as the research object, using ENVI 5.3 and ArcGIS 10.8 as auxiliary tools, and based on the spatial autocorrelation method, this paper devoted to exploring the interactions among the changes of surface temperature, urban heat island effect and land use type, so as to provide theoretical basis and scientific basis for mitigating climate change. The results showed that (1) The heat island effect was obvious in Kunming City, the high temperature area increased from 604 km2 in 2000 to 1269 km2 in 2020, and the subhigh temperature area reached 1099 km2 in 2020; (2) In terms of space, the spatial distribution of LST was significantly different with the change of underlying surface. The high temperature zone extended in three directions south, north and east. The overall spatial distribution pattern of LST was high in the east and low in the west. (3) The interannual fluctuation of land surface temperature (LST) was large, and the growth rate was faster, from 2000 to 2010. The lowest temperature in 2000 was 13.45 , which raised to 19.71 in 2010, and the temperature difference in 10 years was 6.26 . (4) The land useland cover type has a strong effect on the change of LST the manmade land made a great contribution to the increase of LST, followed by grassland and farmland, while forest and water have a significant cooling effect on LST. To sum up, the variation of surface temperature in Kunming is the result of the interactions of human activities and climate change.</abstract> <index>Open Science Index 203, 2023</index> </article>