摘要
Abstract
The influence of land use on the surface thermal environment of Suzhou City from 1990 to 2020 was analyzed by Geographical detector,and the influence of urban landscape pattern evolution on the surface thermal environment and its internal mechanism were revealed.The research findings are as follows:(1)From 1990 to 2020,the area of built-up zones has been increasing annually.Although the rate of growth has slowed in the last decade,the proportion of areas with normal surface temperatures has continuously risen.The high-temperature zones,after slowly expanding in the first 20 years,show a significant decrease in the last decade(38.34%,39.30%,and 30.44%,respectively).(2)The correlation between landscape pattern indexes and surface temperature during 1990~2010 and 2010~2020 has changed.The largest patch index(LPI),the aggregation index(AI)for cropland and the landscape shape index(LSI)for built-up areas have shifted from a negative to a positive correlation.The LPI for built-up areas has changed from a positive to a negative correlation.(3)From 1990 to 2020,the interactions amongst various driving factors have evolved from being predominantly a dual-factor enhancement mode to a non-linear enhancement of interactive effects.The combination of factors of this transformation is from the density and area factors of built-up area,water body and cultivated land from 1990 to 2000,to the density factor of forest land from 2000 to 2010,and then to the shape factor of built-up area from 2010 to 2020,showing a complicated trend with time.The driving factors demonstrate a trend of mutual reinforcement,which reveals that the urban thermal environment effect can be improved across multiple dimensions through multi-faceted mutual enhancement and strategic cooperation.关键词
土地利用变化/地理探测器/景观格局指数/城市热环境Key words
Land use change/Geographical detector/Landscape pattern index/Urban thermal environment分类
资源环境