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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时空变化

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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, SO2, and CO all decreased year by year during 2015–2017. However, the annual mean NO2 concentrations were almost unchanged, while the annual mean O3 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 NO2 played an important role in the formation of PM2.5 and O3. 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公众的极大关注,因此,需要具有高时空分辨率的长期空气质量数据来了解中国空气污染的变化。但是,迄今为止,中国对空气质量和六种空气污染物的高空间分辨率的年变化仍然未知。因此,本文就我们所知,首次分析了2015-2017年中国大陆366个城市的空气质量和六种空气污染物的时空变化。结果表明,2015-2017年间,PM2.5,PM10,SO2和CO的年平均质量浓度逐年下降。但是,NO2的年平均浓度几乎没有变化,而O3的年平均浓度却逐年增加。人为因素主要是造成空气质量变化的原因。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NO2在PM2.5和O3的形成中起着重要作用。这些发现可以为制定中国未来的空气污染控制政策提供理论依据。

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