Atmospheric elemental carbon pollution and its regional health disparities in China.

Journal: Environmental research letters : ERL [Web site]
Published Date:

Abstract

Previous studies have reported that atmospheric elemental carbon (EC) may pose potentially elevated toxicity when compared to total ambient fine particulate matter (PM). However, most research on EC has been conducted in the US and Europe, whereas China experiences significantly higher EC pollution levels. Investigating the health impact of EC exposure in China presents considerable challenges due to the absence of a monitoring network to document long-term EC levels. Despite extensive studies on total PM in China over the past decade and a significant decrease in its concentration, changes in EC levels and the associated mortality burden remain largely unknown. In our study, we employed a combination of satellite remote sensing, available ground observations, machine learning techniques, and atmospheric big data to predict ground EC concentrations across China for the period 2005-2018, achieving a spatial resolution of 10 km. Our findings reveal that the national average annual mean EC concentration has remained relatively stable since 2005, even as total PM levels have substantially decreased. Furthermore, we calculated the all-cause non-accidental deaths attributed to long-term EC exposure in China using baseline mortality data and pooled mortality risk from a cohort study. This analysis unveiled significant regional disparities in the mortality burden resulting from long-term EC exposure in China. These variations can be attributed to varying levels of effectiveness in EC regulations across different regions. Specifically, our study highlights that these regulations have been effective in mitigating EC-related health risks in first-tier cities. However, in regions characterized by a high concentration of coal-power plants and industrial facilities, additional efforts are necessary to control emissions. This observation underscores the importance of tailoring environmental policies and interventions to address the specific challenges posed by varying emission sources and regional contexts.

Authors

  • Yun Hang
    Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, United States of America.
  • Xia Meng
    School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
  • Yuzhi Xi
    Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, United States of America.
  • Danlu Zhang
    Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, United States of America.
  • Xiuran Lin
    Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, United States of America.
  • Fengchao Liang
    School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, People's Republic of China.
  • Hezhong Tian
    State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, People's Republic of China.
  • Tiantian Li
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, People's Republic of China.
  • Tijian Wang
    School of Atmospheric Sciences, Nanjing University, Nanjing 210023, People's Republic of China.
  • Junji Cao
    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100101, People's Republic of China.
  • Qingyan Fu
    State Ecologic Environmental Scientific Observation and Research Station at Dianshan Lake, Shanghai Environmental Monitoring Center, Shanghai 200235, People's Republic of China.
  • Sagnik Dey
    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
  • Shenshen Li
    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, People's Republic of China.
  • Kan Huang
    Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, People's Republic of China.
  • Haidong Kan
    School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
  • Xiaoming Shi
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, People's Republic of China.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.

Keywords

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