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Net effect of air pollution controls on health risk in the Beijing–Tianjin–Hebei region during the 2022 winter Olympics and Paralympics

  • Changqing Lin
  • , Peter K.K. Louie
  • , Alexis K.H. Lau*
  • , Jimmy C.H. Fung
  • , Zibing Yuan
  • , Minghui Tao
  • , Xuguo Zhang
  • , Md. Shakhaoat Hossain
  • , Chengcai Li*
  • , Xiang Qian Lao
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Due to the non-linearity in ozone (O3) formation, reducing the emission of nitrogen oxides (NOx) may increase O3 concentration. Given the counteractive O3 response to NOx reduction, overall impact of air pollution controls can be ambiguous when the assessments focus on the changes in pollutant concentrations. In this study, a risk-based method was used to gauge the net effect of air pollution controls on mortality risk in the Beijing–Tianjin–Hebei (BTH) region during the 2022 Winter Olympics and Paralympics (WOP). This mega-event presents a unique opportunity to investigate the efficacy of deep cuts in pollutant emissions. Results show that O3 concentrations greatly increased as nitrogen dioxide (NO2) concentrations decreased in the BTH. Due to the active photochemical formations, O3 became the dominant pollutant that affected human health during the WOP. Despite the substantial O3 increases, the health benefits of NO2 reductions overwhelmed the adverse health effects of O3 increases in most regions of the BTH (at 81 out of 112 stations). After considering the impacts of particulate matter, the integrated health risk of air pollution mixtures declined almost everywhere in the BTH. Our results underscore the great necessity of changing the assessment paradigm of pollution control from using concentration-based methods to using risk-based methods. Together with the carbon neutrality policy, stringent control of NOx emission from combustion sources is a promising way to achieve synergistic control solutions for air pollution and climate change. 

© 2023 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
Original languageEnglish
Pages (from-to)560-569
JournalJournal of Environmental Sciences (China)
Volume135
Online published23 Oct 2022
DOIs
Publication statusPublished - Jan 2024
Externally publishedYes

Funding

This work was supported by the NSFC/RGC Joint Research Project (Nos. 42161160329 and N_HKUST609/21), the Research Grants Council of Hong Kong (Nos. GRF 16202120 and T24/504/17), and the Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province (No. 2019B121205004). We thank the Institute for the Environment (IENV) and Environmental Central Facility (ENVF) of Hong Kong University of Science and Technology (HKUST) for providing atmospheric and environmental data (http://envf.ust.hk/dataview/). The authors declare that they have no actual or potential competing financial interests.

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
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Research Keywords

  • Carbon neutrality
  • Health risk
  • Mega-events
  • Nitrogen dioxide
  • Ozone

RGC Funding Information

  • RGC-funded

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