【摘要】 近年来随着中国城市化进程的加快,社会经济的发展深刻影响着城市的空气质量。利用地表空气质量监测数据、城市形态数据以及人口数据等,研究中国2018年NO₂浓度的时空分布特征,构建了地级市尺度下城市形态（城市面积、斑块数量、形状指数、分维数）、人口密度与NO₂之间的地理加权回归（GWR）模型,探索城市形态、人口密度对NO₂浓度分布的影响。结果表明:（1）2018年中国的京津冀、中原、山东半岛和长三角等城市群NO₂污染最突出;（2）GWR模型的结果表明,城市形态、人口密度与NO₂之间呈显著正相关关系;（3）城市形态对NO₂浓度分布的影响有着较大的空间差异。应构建集约高效、紧凑型的城市形态,并通过提高植被覆盖度以及调节城市形态的结构与配置,从而降低能源消耗以及NO₂浓度。更多还原

【Abstract】 In recent years,with the acceleration of urbanization in China,the development of social and economic has a profound impact on urban air quality.By using surface air quality data,urban form data and population data,the spatial and temporal characteristic of NO₂ concentration in China in 2018 was investigated.Prefecture-level geographically weighted regression（GWR）model of NO₂ concentration on urban form（urban area,number of patches,shape index,division）and population density were used to explore the influence of urban form,population density on distribution of NO₂ concentrations.The results indicated that:（1）the higher NO₂ region was Beijing-TianHebei,Central Plain,Shandong Peninsula and Yangtze River Delta urban agglomerations in China during 2018.（2）GWR model showed that there was a significant positive correlation between urban form and NO₂,as well as population density and NO₂.（3）There were large spatial differences between the distribution of NO₂ concentration and urban form.An intensive,efficient and compact urban form should be constructed.Increasing vegetation coverage and adjusting the structure and configuration of urban form could reduce energy consumption and NO₂ concentrations.更多还原