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Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017

机译:2015 - 2017年中国空气质量和六种空气污染物的空间和时间变化

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摘要

Air pollution has aroused significant public concern in China, therefore, long-term air-quality data with high temporal and spatial resolution are needed to understand the variations of air pollution in China. However, the yearly variations with high spatial resolution of air quality and six air pollutants are still unknown for China until now. Therefore, in this paper, we analyze the spatial and temporal variations of air quality and six air pollutants in 366 cities across mainland China during 2015-2017 for the first time to the best of our knowledge. The results indicate that the annual mean mass concentrations of PM2.5, PM10, SOsub2/sub, and CO all decreased year by year during 2015-2017. However, the annual mean NOsub2/sub concentrations were almost unchanged, while the annual mean Osub3/sub concentrations increased year by year. Anthropogenic factors were mainly responsible for the variations of air quality. Further analysis suggested that PM2.5 and PM10 were the main factors influencing air quality, while NOsub2/sub played an important role in the formation of PM2.5 and Osub3/sub. These findings can provide a theoretical basis for the formulation of future air-pollution control policy in China.
机译:空气污染引起了中国的大量公众关注,因此需要高度的时间和空间决议的长期空气质量数据来了解中国空气污染的变化。然而,直到现在,中国空气质量和六个空气污染物的高空间分辨率的年度变化仍然不为人知。因此,在本文中,我们在2015-2017期间,在2015 - 2017年,我们的知识首次分析了中国大陆366个城市的空气质量和六个空气污染物的空间和时间变化。结果表明,2015 - 2017年期间,PM2.5,PM2.5,PM10,PM10,SO 2 和CO全部减少。然而,年平均值NO 2 浓度几乎不变,而年度平均值o 3 浓度逐年增加。人为因素主要负责空气质量的变化。进一步的分析表明PM2.5和PM10是影响空气质量的主要因素,而NO 2 在PM2.5和O 3

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