基于系统时间序列的城市绿化冷却效应评估研究

Evaluation of urban greening cooling effect based on Spatio-temporal series observation

以北京市为例,设计了一种基于系统时间序列观测的通用概念模型,并发布了2001~2018年中国地区首幅城市绿化冷却效应地图.研究表明,城市地表温度与不透水率、城市绿化在时间维度上分别存在显著的正相关和负相关关系.此外,北京市核心区与扩张区的城市绿化冷却效应具有高度的异质性,核心区的冷却效应约为扩张区的2倍.结合观测与模拟的城市地表温度趋势,量化了北京市1.09K的冷却效应,这使北京市城市变暖趋势减缓了43.25%,但北京市的城市地表温度仍上升了1.42K.因此,北京市的城市热环境建设仍然面临较大的挑战.该研究可为缓解未来城市扩张带来的潜在变暖趋势提供借鉴.

A general conceptual model based on systematic time-series observations was designed for Beijing,and the first Urban Greening(UG)cooling effect map for China from 2001 to 2018 was published.The study showed that there was a significant positive correlation between urban surface temperature(UST)and imperviousness,negative correlation between UST and imperviousness in the time dimension.In addition,the cooling effect of UG in the core and sprawling areas of Beijing was highly heterogeneous,with the cooling effect in the core area being approximately twice that of the sprawling area.Combining observed and simulated UST’s trends,this study quantified a cooling effect of 1.09K in Beijing,which mitigated 43.25%of the urban warming trend.However,the UST in Beijing has increased by 1.42K.Therefore,the construction of the urban thermal environment in Beijing still faces greater challenges.This study may provide a reference for mitigating potential warming’s trends due to future urban expansion.