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Health risk assessment of NO2 exposure on respiratory outpatient visits in the North China Plain during wintertime

  • Qian Jiang
  • , Naifang Bei
  • , Yutian Zhang
  • , Jiarui Wu
  • , Ruonan Wang
  • , Jiaoyang Yu
  • , Yuxuan Lu
  • , Qian Li
  • , Lang Liu
  • , Guohui Li
  • CAS - Institute of Earth Environment
  • University of Chinese Academy of Sciences
  • Tianjin University of Traditional Chinese Medicine
  • Southern University of Science and Technology
  • National University of Defense Technology

科研成果: 期刊稿件文章同行评审

摘要

Nitrogen dioxide (NO2) exposure has rarely been explored with respiratory outpatient visits in China. The Generalized Additive Model (GAM) is first employed to assess health related risk (RR) with NO2 and PM2.5 exposure in Tianjin during the winter of 2019/2020. The RR of NO2 exposure is 1.018 (95 % CI: 1.012–1.024) on lag 3 days, while that of fine particulate matter (PM2.5) exposure is 1.005 (95 % CI: 1.002–1.008) on lag 4 days per 10 μg m−3. The Weather Research and Forecasting model coupled to Chemistry (WRF-Chem) model is used to simulate the pollutant concentrations to calculate the total number of excess visits (EN) in the North China Plain (NCP) in the 2019/2020 winter. The EN of NO2 exposure is 0.97 million (95 % CI: 0.67, 1.27), while for PM2.5 exposure is 1.19 million (95 % CI: 0.50, 1.84). With the anthropogenic emission mitigation, the PM2.5 concentration has dropped by 40.3 μg m−3 on average in the NCP, but the NO2 concentration has rebounded by 1.8 μg m−3. The emissions mitigation reduces NO2-related EN by 0.76 million (95 % CI: 0.53–0.98) and PM2.5-related EN by 1.11 million (95 % CI: 0.48–1.69). The findings underscore that reducing NO2 emissions could yield more substantial health benefits.

源语言英语
文章编号139997
期刊Journal of Hazardous Materials
498
DOI
出版状态已出版 - 15 10月 2025

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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