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二次颗粒物对反复出现的空气污染有重大贡献:来自中国汾渭平原污染最严重城市的实地观测证据。

Significant contribution of secondary particulate matter to recurrent air pollution: Evidence from in situ observation in the most polluted city of Fen-Wei Plain of China.

作者信息

Liu Yu, Xu Xiaojuan, Yang Xiaoyang, He Jun, Zhang Wenjie, Liu Xingang, Ji Dongsheng, Wang Yuesi

机构信息

State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China; Atmosphere Sub-Center of Chinese Ecosystem Research Network, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100191, China.

Atmosphere Sub-Center of Chinese Ecosystem Research Network, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100191, China.

出版信息

J Environ Sci (China). 2022 Apr;114:422-433. doi: 10.1016/j.jes.2021.09.030. Epub 2022 Feb 20.

DOI:10.1016/j.jes.2021.09.030
PMID:35459505
Abstract

Particulate matter (PM) pollution in high emission regions will affect air quality, human health and climate change on both local and regional scales, and thus attract worldwide attention. In this study, a comprehensive study on PM and its chemical composition were performed in Yuncheng (the most polluted city of Fen-Wei Plain of China) from November 28, 2020 to January 24, 2021. The average concentration of PM was 87.8 ± 52.0 μg/m, which were apparently lower than those observed during the same periods of past five years, attributable to the clean air action plan implemented in this region. NO and organic carbon (OC) were the dominant particulate components, which on average contributed 22.6% and 16.5% to PM, respectively. The fractions of NO, NH, OC and trace metals increased while those of crustal materials and elemental carbon decreased with the degradation of PM pollution. Six types of PM sources were identified by the PMF model, including secondary inorganic aerosol (35.3%), coal combustion (28.7%), vehicular emission (20.7%), electroplating industry (8.6%), smelt industry (3.9%) and dust (2.8%). Locations of each identified source were pinpointed based on conditional probability function, potential source contribution function and concentration weighted trajectory, which showed that the geographical distribution of the sources of PM roughly agreed with the areas of high emission. Overall, this study provides valuable information on atmospheric pollution and deems beneficial for policymakers to take informed action to sustainably improve air quality in highly polluted region.

摘要

高排放地区的颗粒物(PM)污染会在本地和区域尺度上影响空气质量、人类健康和气候变化,因此受到全球关注。本研究于2020年11月28日至2021年1月24日在运城(中国汾渭平原污染最严重的城市)对PM及其化学成分进行了全面研究。PM的平均浓度为87.8±52.0μg/m,明显低于过去五年同期观测到的浓度,这归因于该地区实施的清洁空气行动计划。NO和有机碳(OC)是主要的颗粒物成分,平均分别占PM的22.6%和16.5%。随着PM污染程度的降低,NO、NH、OC和痕量金属的占比增加,而地壳物质和元素碳的占比降低。通过PMF模型识别出六种PM源类型,包括二次无机气溶胶(35.3%)、煤炭燃烧(28.7%)、机动车排放(20.7%)、电镀行业(8.6%)、冶炼行业(3.9%)和扬尘(2.8%)。基于条件概率函数、潜在源贡献函数和浓度加权轨迹确定了每种已识别源的位置,结果表明PM源的地理分布与高排放区域大致相符。总体而言,本研究为大气污染提供了有价值的信息,有助于政策制定者采取明智行动,以可持续地改善高污染地区的空气质量。

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