摘要
利用地理探测器分析了1990—2020年苏州市土地利用对地表热环境的影响,揭示了城市景观格局演变对地表热环境的影响力度及其内在机制。研究发现:(1)1990—2020年,苏州市建成区面积逐年增加,而最近10年来增速有所放缓,地表温度正常区的占比持续上升,高温区在前20年缓慢扩大后,最近10年出现了显著的下降,3个时段的面积占比分别为38.34%、39.30%和30.44%;(2)1990—2010年和2010—2020年的景观格局指数与地表温度之间的相关性发生了变化,耕地的最大斑块指数和聚集度指数,以及建成区的景观形状指数,均由负相关转为正相关,建成区的最大斑块指数则由正相关转为负相关;(3)1990—2020年,城市热环境的驱动因素表现出从主要受双因子增强模式向非线性增强交互效应的转变。这种转变的因子组合由1990—2000年的建成区、水体与耕地密度和面积因子,到2000—2010年扩展至林地密度因子,再到2010—2020年进一步包含建成区形状因子,呈现出随时间演进的复杂化趋势。驱动因素之间呈现相互增强的趋势,揭示了城市热环境效应具有通过多层面的相互增强与策略合作在多个维度上得到改善的潜力。
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.
作者
张熙涛
周德成
ZHANG Xi-tao;ZHOU De-cheng(School of Applied Meteorology,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《江西农业学报》
CAS
2023年第12期146-155,共10页
Acta Agriculturae Jiangxi
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
Land use change
Geographical detector
Landscape pattern index
Urban thermal environment
