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Spatial associations between social groups and ozone air pollution exposure in the Beijing urban area

机译:北京市区社会群体与臭氧空气污染暴露的空间联系

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摘要

Few studies have linked social factors to air pollution exposure in China. Unlike the race or minority concepts in western countries, the Hukou system (residential registration system) is a fundamental reason for the existence of social deprivation in China. To assess the differences in ozone (O-3) exposure among social groups, especially groups divided by Hukou status, we assigned estimates of O-3 exposure to the latest census data of the Beijing urban area using a kriging interpolation model. We developed simultaneous autoregressive (SAR) models that account for spatial autocorrelation to identify the associations between O-3 exposure and social factors. Principal component regression was used to control the multicollinearity bias as well as explore the spatial structure of the social data. The census tracts (CTs) with higher proportions of persons living alone and migrants with non-local Hukou were characterized by greater exposure to ambient O-3. The areas with greater proportions of seniors had lower O-3 exposure. The spatial distribution patterns were similar among variables including migrants, agricultural population and household separation (population status with separation between Hukou and actual residences), which fit the demographic characteristics of the majority of migrants. Migrants bore a double burden of social deprivation and O-3 pollution exposure due to city development planning and the Hukou system.
机译:很少有研究将社会因素与中国的空气污染暴露联系起来。与西方国家的种族或少数族裔概念不同,户籍制度(户籍制度)是中国存在社会贫困的根本原因。为了评估不同社会群体(尤其是各族群的户口状况)中臭氧(O-3)暴露的差异,我们使用克里格插值模型将O-3暴露的估算值分配给了北京市区的最新人口普查数据。我们开发了同时自回归(SAR)模型,该模型说明了空间自相关性,以识别O-3暴露与社会因素之间的关联。主成分回归用于控制多重共线性偏差以及探索社交数据的空间结构。独居人口比例较高的人口普查区和外来户口人口的特征是更多地暴露于环境O-3。老年人比例较高的地区O-3暴露量较低。空间分布模式在包括移民,农业人口和家庭分离(户口与实际居住地之间处于隔离状态的人口状况)在内的变量之间是相似的,这符合大多数移民的人口特征。由于城市发展规划和户籍制度,移民面临着社会剥夺和O-3污染暴露的双重负担。

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