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Purpose of Review <p>: Based on existing studies, this study discussed three key aspects: methods of near-surface ozone(O₃) monitoring methods, identification of anthropogenic and environmental factors influencing regional O₃ concentrations, and the health effects associated with changes in O₃ levels. The aim is to provide regional and multi-dimensional insights and strategies for preventing and controlling of O₃ pollution in China.</p> Recent Findings <p>Near-surface O₃ concentrations are influenced by a combination of natural and anthropogenic environmental factors. Existing studies have used linear regression-based multivariate statistical analysis, grey relational analysis, principal component analysis, augmented regression trees and geo-detectors to quantify the factors influencing near-surface O₃ concentrations. In addition, available medical researches have suggested that high near-surface O₃ concentrations are associated with an increased risk of premature death from diseases such as cancer in the population. The analysis of the relationship between ground-level O₃ and disease is facilitated by epidemiological studies of O₃ at the individual level, mainly using statistical analysis models, meta-analysis and cohort analysis to obtain the associations between O₃ concentrations at individual near-surface monitoring stations and their health indicators. At the same time, the WRF-CMAQ model and the Benmap-CE model can be implemented on an ongoing geographical scale and are frequently employed models for population health risk evaluation.</p> Summary <p>Combining multi-dimensional means– such as remote sensing, geographic information, and epidemiological analysis– enables the accurate assessment of near-surface O₃ concentrations and population health risks. Consequently, it is possible to accurately assess the spatial and temporal distribution characteristics of population health risks in near-surface O₃ exposure on a regional scale. In turn, this facilitates the refinement of zoning in order to prevent and control near-surface O₃ pollution and the health risks it engenders. This development direction represents a significant advancement in the future assessment of population health risks.</p>

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Estimation of Near-Surface Ozone Concentrations and their Health Risk Assessment: A Review

  • 期刊论文

  • 发表日期：

    2025年7月24日

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  • Li-yi Qin,
  • Xiao-hong Wang,
  • Shou-fang Jiang,
  • Jin-long Li,
  • Lin-lin Jiao

摘要

Purpose of Review

: Based on existing studies, this study discussed three key aspects: methods of near-surface ozone(O₃) monitoring methods, identification of anthropogenic and environmental factors influencing regional O₃ concentrations, and the health effects associated with changes in O₃ levels. The aim is to provide regional and multi-dimensional insights and strategies for preventing and controlling of O₃ pollution in China.

Recent Findings

Near-surface O₃ concentrations are influenced by a combination of natural and anthropogenic environmental factors. Existing studies have used linear regression-based multivariate statistical analysis, grey relational analysis, principal component analysis, augmented regression trees and geo-detectors to quantify the factors influencing near-surface O₃ concentrations. In addition, available medical researches have suggested that high near-surface O₃ concentrations are associated with an increased risk of premature death from diseases such as cancer in the population. The analysis of the relationship between ground-level O₃ and disease is facilitated by epidemiological studies of O₃ at the individual level, mainly using statistical analysis models, meta-analysis and cohort analysis to obtain the associations between O₃ concentrations at individual near-surface monitoring stations and their health indicators. At the same time, the WRF-CMAQ model and the Benmap-CE model can be implemented on an ongoing geographical scale and are frequently employed models for population health risk evaluation.

Summary

Combining multi-dimensional means– such as remote sensing, geographic information, and epidemiological analysis– enables the accurate assessment of near-surface O₃ concentrations and population health risks. Consequently, it is possible to accurately assess the spatial and temporal distribution characteristics of population health risks in near-surface O₃ exposure on a regional scale. In turn, this facilitates the refinement of zoning in order to prevent and control near-surface O₃ pollution and the health risks it engenders. This development direction represents a significant advancement in the future assessment of population health risks.