生态环境学报2023，Vol.32Issue(10)：1771-1784,14.DOI:10.16258/j.cnki.1674-5906.2023.10.006
长三角城市群城市空间形态对PM2.5与O3污染空间异质性特征的影响研究
Urban Morphology and the Influence of the Spatial Heterogeneity of PM2.5 and O3 Pollution:The Case of the Yangtze River Delta
摘要
Abstract
Urban spatial morphology,defined as the aggregation of urban construction land expansion and socio-economic spatial structure,is critical for exploring urban spatial patterns and their relationships with PM2.5 and O3 pollution;its assessment is essential for socio-economic development,urban planning,and regional air quality management.Using datasets from the Yangtze River Delta in China during the 13th Five-Year Plan period,including air quality monitoring data,meteorological stations data,land cover data,population data,night-time lights data,and self-defined urban spatial morphology indices(e.g.,compactness index,complexity,and density),we analyzed driving mechanisms of the spatial heterogeneity of urban morphology and PM2.5 and O3 pollution by employing Geo-detector models.The key findings were as follows:1)The annual PM2.5 concentration in 2020 decreased by 15.9%compared to 2016,while the annual average MDA8 O3 increased by 9.94%.Both PM2.5 and O3 showed significant seasonal and spatial patterns,with higher PM2.5 concentrations in the southeast region and during winter,and higher O3 levels in summer.2)Urban morphology indices demonstrated stronger spatial-temporal differentiation compared to meteorological factors in the study area.These indices generally showed an increasing trend except for short-term fluctuations in commuting and compactness.The spatial patterns showed high morphology indices in northern and central cities,and low morphology indices in the south.3)The compactness of urban construction land was the most critical influencing factor,explaining 0.259 and 0.419 of PM2.5 and O3 concentrations,respectively,as well as having a correlation of 0.258 with these pollutants.The interactions between morphology indices enhanced the spatial heterogeneity of PM2.5 and O3 pollution,providing insights into the spatial evolution of pollutants under urbanization,and empirical support for regional air quality management.关键词
长三角城市群/城市空间形态/多源数据/PM2.5与O3污染物/地理探测器/空间异质性Key words
Yangtze River Delta/urban morphology/multi-source data/PM2.5 and O3 pollution/Geo-detector/spatial heterogeneity分类
资源环境引用本文复制引用
叶深,王鹏,黄祎,折远洋,丁明军..长三角城市群城市空间形态对PM2.5与O3污染空间异质性特征的影响研究[J].生态环境学报,2023,32(10):1771-1784,14.基金项目
中国科学院战略性先导科技专项(XDA20040201) （XDA20040201）
