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Insights the dominant contribution of biomass burning to methanol-soluble PM2.5 bounded oxidation potential based on multilayer perceptron neural network analysis in Xi'an, China

  • Yu Luo
  • , Xueting Yang
  • , Diwei Wang
  • , Hongmei Xu
  • , Hongai Zhang
  • , Shasha Huang
  • , Qiyuan Wang
  • , Ningning Zhang
  • , Junji Cao
  • , Zhenxing Shen
  • Xi'an Jiaotong University
  • CAS - Institute of Earth Environment
  • Shanghai Jiao Tong University

科研成果: 期刊稿件文章同行评审

18 引用 (Scopus)

摘要

Atmospheric fine particulate matter (PM2.5) is associated with cardiorespiratory morbidity and mortality due to its ability to generate reactive oxygen species (ROS). Ambient PM2.5 samples were collected during heating and nonheating seasons in Xi'an, China, and the ROS-generation potential of PM2.5 was quantified using the dithiothreitol (DTT) assay. Additionally, positive matrix factorization combined with multilayer perceptron was employed to apportion sources contributing to the oxidation potential of PM2.5. Both the mass concentration of PM2.5 and the volume-based DTT activity (DTTv) were higher during the heating season than during the nonheating season. The primary contributors to DTTv were combustion (biomass and coal) sources during the heating season (>52 %), whereas secondary formation dominated DTT activity during the nonheating season (35.7 %). In addition, the secondary reaction process promoted the generation of intrinsic oxidation potential (OP) of sources. Among all the sources investigated (traffic source, industrial emission, mineral dust, biomass burning, secondary formation and coal combustion), the inherent oxidation potential of biomass burning was the highest, whereas that of mineral dust was the lowest. Our study indicates that anthropogenic sources, especially biomass burning, should be prioritized in PM2.5 toxicity control strategies.

源语言英语
文章编号168273
期刊Science of the Total Environment
908
DOI
出版状态已出版 - 15 1月 2024

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