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Spatiala??Temporal Analysis of Air Pollution, Climate Change, and Total Mortality in 120 Cities of China, 2012a??2013

机译:2012年至2013年中国120个城市空气污染,气候变化和总死亡率的时空分析

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China has had a rapid increase in its economy over the past three decades. However, the economic boom came at a certain cost of depleting air quality. In the study, we aimed to examine the burden of air pollution and its association with climatic factors and health outcomes using data from Chinese national and city-level air quality and public health surveillance systems. City-level daily air pollution index (API, a sum weighted index of SO2, NO2, PM10, CO, and Ozone) in 120 cities in 2012 and 2013, and its association with climate factors were analyzed using multiple linear regression analysis, spatial autocorrelation analysis, and panel fixed models. City-level ecological association between annual average API and total mortality were examined using univariate and partial correlation analysis. Sensitivity analysis was conducted by taking the consideration of time-lag effect between exposures and outcomes. The results show that among the 120 cities, annual average API significantly increased from 2012 to 2013 (65.05 vs. 75.99, p < 0.0001). The highest average API was in winter, and the lowest in summer. A significantly spatial clustering of elevated API was observed, with the highest API in northwest China in 2012 and with the highest in east China in 2013. In 2012, 5 (4%) of the 120 cities had ≥60 days with API >100 (defined as “slightly polluted”), however, it increased to 21 cities (18%) that experienced API >100 for ≥60 days in 2013. Furthermore, 16 cities (13%) in 2012 and 35 (29%) in 2013 experienced a maximum API >300 (defined as “severely polluted”). API was negatively and significantly correlated with heat index, precipitation, and sunshine hours, but positively with air pressure. Cities with higher API concentrations had significantly higher total mortality rates than those with lower API. About a 4–7% of the variation in total mortality could be explained by the difference in API across the nation. In conclusion, the study highlights an increased trend of air pollution from 2012 to 2013 in China. The magnitude of air pollution varied by seasons and regions and correlated with climatic factors and total mortality across the country.
机译:在过去的三十年中,中国的经济迅速增长。但是,经济繁荣是以牺牲空气质量为代价的。在这项研究中,我们旨在使用中国国家和城市一级的空气质量和公共卫生监测系统的数据来检查空气污染的负担及其与气候因素和健康结果的关系。使用多元线性回归分析,空间自相关分析了2012年和2013年120个城市的城市日常空气污染指数(API,SO2,NO2,PM10,CO和臭氧的总加权指数),并与气候因子进行了关联分析分析和面板固定模型。使用单变量和偏相关分析研究了城市平均年度API与总死亡率之间的生态联系。敏感性分析是通过考虑暴露和结果之间的时滞效应来进行的。结果显示,在120个城市中,2012年至2013年的年度平均API显着增加(65.05对75.99,p <0.0001)。平均API最高的是冬季,而最低的是夏季。观察到较高的API有明显的空间聚类,2012年中国西北地区的API最高,2013年中国东部地区的API最高。2012年,在120个城市中,≥60天的API大于100,其中5个(4%)(但是,2013年有60天内≥60天的API≥100的城市增加到21个城市(18%)。此外,2012年有16个城市(13%)和2013年有35个城市(29%)最高API> 300(定义为“严重污染”)。 API与热量指数,降水和日照时间呈负相关,与空气压力呈正相关。 API浓度较高的城市的总死亡率明显高于API较低的城市。全国API的差异可以解释总死亡率变化的4%至7%。总之,该研究突出了2012年至2013年中国空气污染的增长趋势。空气污染的程度因季节和地区而异,并且与全国的气候因素和总死亡率有关。

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