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Related Concept Videos

Types of Toxins01:36

Types of Toxins

Humans continually engage with an environment rich in potentially harmful chemicals. These are introduced to our bodies through inhalation, ingestion, or skin contact. These chemicals exist in various forms, such as air and environmental pollutants, agricultural chemicals, organic solvents, and heavy metals.
Air pollutants, primarily gases, pose significant threats to respiratory health, leading to conditions like hypoxia, lung cancer, and in extreme cases, death.
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Updated: Jun 3, 2026

Quantification of three DNA Lesions by Mass Spectrometry and Assessment of Their Levels in Tissues of Mice Exposed to Ambient Fine Particulate Matter
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Specific-Source Insights into Changes of O3 Concentrations and Health Risks in China.

Yiheng Wang1, Chenliang Tao1,2, Guochao Chen1

  • 1Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China.

Environmental Science & Technology
|June 2, 2026
PubMed
Summary
This summary is machine-generated.

Accurate ozone (O3) source attribution is crucial for health policies. Our integrated model shows industry and transport cause disproportionate deaths, driving a shift to health-focused O3 management in China.

Keywords:
MDA8 O3air-transformerdriving factorspremature mortalitysource apportionment

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Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Public Health

Background:

  • Accurate quantification of source-specific ozone (O3) concentrations is vital for effective emission control policies and health risk assessment.
  • Traditional models lack fine-scale accuracy, and machine learning cannot provide source-specific attribution, hindering targeted O3 policy formulation.

Purpose of the Study:

  • To develop an integrated framework for reconstructing and apportioning O3 concentrations to specific sources.
  • To analyze the spatiotemporal heterogeneity of O3 contributors and their health impacts.

Main Methods:

  • Coupling a deep learning model with a source-oriented Community Multiscale Air Quality (CMAQ) model.
  • Reconstructing O3 concentrations from 2005-2020 and apportioning contributions at milestone years.

Main Results:

  • Background O3 constitutes ~75.0% of warm-season concentrations, while industry and transportation contribute 28.1% of O3-attributable premature deaths.
  • Despite lower concentrations, industry and transportation have a disproportionate impact on mortality due to overlap with populated areas.
  • Spatiotemporal variations in O3 concentrations were the primary driver (74.2%) of increased O3-related premature mortality.

Conclusions:

  • Findings support a transition from total O3 concentration control to health-oriented, source-specific management strategies in China.
  • The integrated framework provides a scientific basis for targeted O3 precursor emission control policies.