Investigation of the Relationship Between Urban Three-Dimensional Landscape Patterns and the Spatial-Temporal Distribution of Atmospheric Pollution:A Case Study of Changsha
The process of urbanization is usually accompanied by the development of high-rise buildings and three-dimensional urban layouts,transforming urban areas from a"two-dimensional structure"to a"three-dimen-sional structure."The three-dimensional urban structure not only creates great development opportunities,but also inevitably brings many negative effects.Dense buildings have significantly affected the air flow in local areas,mak-ing air pollution a typical urban problem.Based on the three-dimensional building data and the PM2.5 monitoring da-ta in the main urban area of Changsha in 2020,this study analyzed the three-dimensional landscape pattern and the spatial-temporal distribution pattern of PM2.5 concentration in the main urban area of Changsha using methods inclu-ding the urban three-dimensional morphological index analysis,stochastic forest model,spatial autocorrelation anal-ysis and multi-scale geographically weighted regression.Further,the influence mechanism of urban three-dimensional landscape pattern on the distribution of PM2.5 concentration was explored.The results show as follows.1)There are various types of three-dimensional landscapes in the main urban area,showing certain spatial pattern heter-ogeneity.2)The concentration of PM2.5 in the main urban area shows a significant spatial autocorrelation,but there are obvious differences between summer and winter.3)In the studied area,the three-dimensional landscape index significantly drives the spatial-temporal heterogeneity of PM2.5 concentration,especially the number of buildings and the standard deviation of building height,which have a strong positive driving effect on the PM2.5 concentration.