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Source contributions to ozone-related mortality burdens: Attribution-based diagnostics for emission control planning in China

  • Haoyu Wang
  • , Wenbo Xue*
  • , Yang Xie
  • , Zeyuan Liu
  • , Yihao Wang
  • , Yu Zhang
  • , Xin Liu
  • , Yu Lei
  • , Jinnan Wang
  • *Corresponding author for this work
  • Beihang University
  • State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control
  • Zhejiang University
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

Abstract

Ozone (O3) pollution imposes health burdens across China, yet the differential contributions of interregional transport and sectoral emissions remain insufficiently quantified to support diagnostic assessment and regional planning. To address this gap, we developed a coupled emission-concentration-health modeling framework that integrated the Integrated Source Apportionment Method (ISAM) within the Community Multiscale Air Quality (CMAQ) model with a health impact assessment module. This framework quantified the contributions of 155 emission sources (five sectors across 31 provinces) to O3-related mortality across China in 2019. Our analysis indicates that long-term O3 exposure caused 143,420 (95% CI: 72,267–212,609) premature deaths nationwide. Interprovincial transport accounts for 54.0% of the total mortality burden, reflecting spatial spillover effects. The industry and transport sectors collectively contribute approximately 60% of the national mortality burden. Notably, the top 31 emission sources account for over half of the total burden, identifying them as high-contribution sources. By comparing the relative contributions of emission sources to PM2.5- and O3-related mortality, we classified these sources into three pollution contribution categories: PM2.5-higher-contribution sources, O3-higher-contribution sources, and comparable-contribution sources. These findings offer region-specific attribution insights to support synergistic control of PM2.5 and O3. Collectively, this study establishes a diagnostic framework to screen sources that warrant regulatory attention and provides an attribution-based reference for coordinated air quality management.

Original languageEnglish
Article number124849
JournalEnvironmental Research
Volume305
DOIs
StatePublished - 1 Sep 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Health burden
  • Ozone
  • Sectoral emissions
  • Source contribution
  • Synergistic control

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