Spatiotemporal Characteristics of Ozone Pollution and Resultant Increased Human Health Risks in Central China

Tian, Yuren; Wang, Yun; Han, Yan; Che, Hanxiong; Qi, Xin; Xu, Yuanqian; Chen, Yang; Long, Xin; Wei, Chong

doi:10.3390/atmos14101591

Cited by 3 publications

(1 citation statement)

References 48 publications

(48 reference statements)

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“…This effect is thought to result from the increased release of bioisoprene from plants, which subsequently leads to higher ozone concentrations [42,43]. Furthermore, the DEM, LULC, and POPU have been identified as influential factors in surface ozone pollution [42,44,45].…”

Section: The Relative Importance Of Explanatory Variables To O 3 Poll...mentioning

confidence: 99%

Quantitative Analysis of Spatiotemporal Patterns and Factor Contributions of Surface Ozone in the North China Plain

Li,

Liu,

et al. 2024

Applied Sciences

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Over the past decade, surface ozone has emerged as a significant air pollutant in China, especially in the North China Plain (NCP). For effective ozone management in the NCP, it is crucial to accurately estimate the surface ozone levels and identify the primary influencing factors for ozone pollution in this region. This study utilized ozone precursors such as volatile organic compounds (VOCs) and nitrogen oxides (NOX), meteorological data, land cover, normalized difference vegetation index (NDVI), terrain, and population data to build an extreme gradient boosting (XGBoost)-based ozone estimation model in the NCP during 2019 to 2021. Four ozone estimation models were developed using different NO2 and formaldehyde (HCHO) datasets from the Sentinel-5 TROPOMI observations and Copernicus Atmosphere Monitoring Service (CAMS) reanalysis data. Site-based validation results of these four models showed high accuracy with R2 values above 0.86. Among these four models, two models with higher accuracy and higher spatial coverage ratio were selected, and their results were averaged to produce the final ozone estimation products. The results indicated that VOCs and NOX were the two main pollutants causing ozone pollution in the NCP, and their relative contributions accounted for more than 23.34% and 10.23%, respectively, while HCHO also played a significant role, contributing over 5.64%. Additionally, meteorological factors also had a notable impact, contributing 28.63% to ozone pollution, with each individual factor contributing more than 2.38%. The spatial distribution of ozone pollution identified the Hebei–Shandong–Henan junction as a pollution hotspot, with the peak occurring in summer, particularly in June. Therefore, for this hotspot region in the NCP, promoting the reduction in VOCs and NOx can play an important role in the mitigation of O3 pollution and the improvement in air quality in this region.

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Section: The Relative Importance Of Explanatory Variables To O 3 Poll...mentioning

confidence: 99%

Quantitative Analysis of Spatiotemporal Patterns and Factor Contributions of Surface Ozone in the North China Plain

Li,

Liu,

et al. 2024

Applied Sciences

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Spatiotemporal patterns of surface ozone exposure inequality in China

Li,

Ni,

Liu

et al. 2024

Environ Monit Assess

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The escalating concentration of surface ozone (O 3 ) across China is increasingly highlighting potential threats to public health, ecological balance, and economic sustainability. Using a 1km x 1km dataset of O 3 concentrations, this research employs subpopulation demographic data combined with a populationweighted quality model. Its aim is to evaluate quantitatively the differences in O 3 exposure among various subpopulations within China, both at a provincial and urban cluster level. Additionally, an exposure disparity indicator was devised to establish unambiguous exposure risks among signi cant urban agglomerations at varying O 3 concentration levels. The ndings reveal that as of 2018, the population-weighted average concentration of O 3 for all subgroups has experienced a signi cant uptick, surpassing the average O 3 concentration (118µg/m 3 ). Notably, the middle-aged demographic exhibited the highest O 3 exposure level at 135.7µg/m 3 , which is signi cantly elevated compared to other age brackets. Concurrently, there exists a prominent positive correlation between educational attainment and O 3 exposure levels, with the medium-income bracket showing the greatest susceptibility to O 3 exposure risks. From an industrial vantage point, the secondary sector demographic is the most adversely impacted by O 3 exposure. Geographically, urban populations experience slightly more elevated O 3 levels than their rural counterparts, and the subpopulations in the North China, East China, and Central China regions manifest signi cantly higher O 3 exposure levels compared to other areas. These ndings not only underscore the intricate interplay between public health and environmental justice but further accentuate the indispensability of granular subgroup strategies in environmental health risk assessments. Moreover, this research furnishes invaluable scienti c groundwork for crafting targeted public health interventions and sustainable air quality management policies.

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Assessment of spatial air quality on the East Coast of Peninsular Malaysia utilizing environmetric techniques

Mohd Shafi’i,

Juahir

2024

Environ Monit Assess

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Spatiotemporal Characteristics of Ozone Pollution and Resultant Increased Human Health Risks in Central China

Cited by 3 publications

References 48 publications

Quantitative Analysis of Spatiotemporal Patterns and Factor Contributions of Surface Ozone in the North China Plain

Quantitative Analysis of Spatiotemporal Patterns and Factor Contributions of Surface Ozone in the North China Plain

Spatiotemporal patterns of surface ozone exposure inequality in China

Assessment of spatial air quality on the East Coast of Peninsular Malaysia utilizing environmetric techniques

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