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Assessing air-quality in Beijing-Tianjin-Hebei region: The method and mixed tales of PM_(2.5) and O_3

机译:京津冀地区空气质量评估:PM_(2.5)和O_3的方法及混合传说

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摘要

Motivated by a need to evaluate the effectiveness of a campaign to alleviate the notorious air pollution in China's Beijing-Tianjin-Hebei (BTH) region, we outline a temporal statistical adjustment method which is demonstrated from several aspects on its ability to remove the meteorological confounding existed in the air quality data. The adjustment makes the adjusted average concentration temporally comparable, and hence can be used to evaluate the effectiveness of the emission reduction strategies over time. By applying the method on four major pollutants from 73 air quality monitoring sites along with meteorological data, the adjusted averages indicate a substantial regional reduction from 2013 to 2016 in PM2.5 by 27% and SO2 by 51% benefited from the elimination of high energy consumption and high polluting equipments and a 20.7% decline of the coal consumption, while average NO2 levels had been static with a mere 4.5% decline. Our study also reveals a significant increase in the ground O-3 by 11.3%. These suggests that future air quality management plans in BTH have to be based on dual targets of PM2.5 and O-3.
机译:由于需要评估一项旨在减轻中国北京-天津-河北(BTH)地区臭名昭著的空气污染的运动的有效性,我们概述了一种时间统计调整方法,该方法从多个方面证明了其消除气象混杂的能力存在于空气质量数据中。该调整使调整后的平均浓度在时间上具有可比性,因此可用于评估一段时间内减排策略的有效性。通过将该方法应用于来自73个空气质量监测点的四种主要污染物以及气象数据,调整后的平均值表明,得益于高能的消除,2013年至2016年期间,PM2.5的区域性大幅减少了27%,SO2的减少了51%排放量和高污染设备的使用量,煤炭消耗量下降了20.7%,而二氧化氮的平均水平却保持不变,仅下降了4.5%。我们的研究还揭示了地面O-3的显着增加11.3%。这些表明,BTH未来的空气质量管理计划必须基于PM2.5和O-3的双重目标。

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