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区域传输对中国某盆地城市颗粒物人为源贡献的影响。

The impacts of regional transport on anthropogenic source contributions of PM in a basin city, China.

作者信息

Liu Huikun, Wang Qiyuan, Wei Peng, Zhang Qian, Qu Yao, Zhang Yong, Tian Jie, Xu Hongmei, Zhang Ningning, Shen Zhenxing, Su Hui, Han Yongming, Cao Junji

机构信息

State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China.

State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China.

出版信息

Sci Total Environ. 2024 Mar 20;917:170038. doi: 10.1016/j.scitotenv.2024.170038. Epub 2024 Jan 15.

Abstract

PM pollution events are often happened in urban agglomeration locates in mountain-basin regions due to the complex terra and intensive emissions. Source apportionment is essential for identifying the pollution sources and important for developing local mitigation strategies, however, it is influenced by regional transport. To understand how the regional transport influences the atmospheric environment of a basin, we connected the PM source contributions estimated by observation-based receptor source apportionment and the regional contributions estimated by a tagging technology in the comprehensive air quality model with extensions (CAMx) via an artificial neural network (ANNs). The result shows that the PM in Xi'an was from biomass burning, coal combustion, traffic related emissions, mineral dust, industrial emissions, secondary nitrate and sulfate. 48.8 % of the PM in study period was from Xi'an, then followed by the outside area of Guanzhong basin (28.2 %), Xianyang (14.6 %) and Weinan (5.8 %). Baoji and Tongchuan contributed trivial amount. The sensitivity analysis showed that the transported PM would lead to divergent results of source contributions at Xi'an. The transported PM from the outside has great a potential to alter the source contributions implying a large uncertainty of the source apportionment introduced when long-range transported pollutants arrived. It suggests that a full comprehension on the impacts of regional transport can lower the uncertainty of the local PM source apportionment and reginal collaborative actions can be of great use for pollution mitigation.

摘要

由于地形复杂且排放密集,山区盆地型城市群常发生细颗粒物(PM)污染事件。源解析对于识别污染源至关重要,对制定当地减排策略也很重要,然而,它会受到区域传输的影响。为了解区域传输如何影响盆地的大气环境,我们通过人工神经网络(ANNs)将基于观测的受体源解析估算的PM源贡献与综合空气质量模型(CAMx)中通过标记技术估算的区域贡献联系起来。结果表明,西安的PM来自生物质燃烧、煤炭燃烧、交通相关排放、矿物粉尘、工业排放、二次硝酸盐和硫酸盐。研究期间,西安48.8%的PM来自本地,其次是关中盆地外部地区(28.2%)、咸阳(14.6%)和渭南(5.8%)。宝鸡和铜川的贡献微不足道。敏感性分析表明,传输来的PM会导致西安源贡献结果出现差异。来自外部的传输PM有很大潜力改变源贡献,这意味着当远距离传输污染物到达时,源解析存在很大不确定性。这表明充分理解区域传输的影响可以降低当地PM源解析的不确定性,区域协同行动对污染减排可能非常有用。

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