Based on the PM_2.5 concentration and economic and social data in the Yangtze River Delta during 2006–2016, the spatial distribution characteristics of PM_2.5 pollution and the spatial heterogeneity of its influencing factors are analyzed using exploratory spatial data analysis and a geographically weighted regression model. The results show the following . The PM_2.5 pollution situation is serious and presents a remarkable feature of spatial agglomeration in the Yangtze River Delta. Highly polluted areas are mainly concentrated in the northern cities of the Yangtze River Delta, while the air quality of the southern cities of the Yangtze River Delta is better. There is a significant positive spatial spillover effect of PM_2.5 pollution in the Yangtze River Delta, which is to say that the air quality will be worsened by the PM_2.5 pollution of surrounding cities . The influence coefficients of the population density, industrial proportion, car ownership and FDI on PM_2.5 have spatial heterogeneity; that is, there are significant differences in their degrees of influence between different periods and cities.

基于2006-2016年长江三角洲地区PM _2.5浓度和经济社会数据，运用探索性空间数据分析和地理加权回归模型，分析了PM _2.5污染的空间分布特征及其影响因素的空间异质性。 。结果显示如下。长三角地区PM _2.5的污染状况十分严峻，呈现出明显的空间集聚特征。高污染地区主要集中在长江三角洲北部城市，而长江三角洲南部城市的空气质量较好。PM _2.5具有显着的正空间溢出效应长江三角洲的空气污染，也就是说周围城市的PM _2.5污染将使空气质量恶化。人口密度，产业比例，汽车拥有量和外国直接投资对PM _2.5的影响系数具有空间异质性；也就是说，不同时期和城市之间的影响程度存在显着差异。