The drivers and health risks of unexpected surface ozone enhancements over the Sichuan Basin, China, in 2020

<p>Following a continuous increase in the surface ozone (<span class="inline-formula">O<sub>3</sub></span>) level from 2013 to 2019, the overall summertime <span class="inline-formula">O<sub>3</sub></span> concentrations acros...

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Bibliographic Details
Main Authors: Y. Sun, H. Yin, X. Lu, J. Notholt, M. Palm, C. Liu, Y. Tian, B. Zheng
Format: Article
Language:English
Published: Copernicus Publications 2021-12-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/18589/2021/acp-21-18589-2021.pdf
Description
Summary:<p>Following a continuous increase in the surface ozone (<span class="inline-formula">O<sub>3</sub></span>) level from 2013 to 2019, the overall summertime <span class="inline-formula">O<sub>3</sub></span> concentrations across China showed a significant reduction in 2020. In contrast to this overall reduction in surface <span class="inline-formula">O<sub>3</sub></span> across China, unexpected surface <span class="inline-formula">O<sub>3</sub></span> enhancements of 10.2 <span class="inline-formula">±</span> 0.8 ppbv (23.4 %) were observed in May–June 2020 (relative to 2019) over the Sichuan Basin (SCB), China. In this study, we use high-resolution nested-grid GEOS-Chem simulation, the eXtreme Gradient Boosting (XGBoost) machine learning method, and the exposure–response relationship to determine the drivers and evaluate the health risks due to the unexpected surface <span class="inline-formula">O<sub>3</sub></span> enhancements. We first use the XGBoost machine learning method to correct the GEOS-Chem model–measurement <span class="inline-formula">O<sub>3</sub></span> discrepancy over the SCB. The relative contributions of meteorology and anthropogenic emission changes to the unexpected surface <span class="inline-formula">O<sub>3</sub></span> enhancements are then quantified with a combination of GEOS-Chem and XGBoost models. In order to assess the health risks caused by the unexpected <span class="inline-formula">O<sub>3</sub></span> enhancements over the SCB, total premature mortalities are estimated. The results show that changes in anthropogenic emissions caused a 0.9 <span class="inline-formula">±</span> 0.1 ppbv <span class="inline-formula">O<sub>3</sub></span> reduction, whereas changes in meteorology caused an 11.1 <span class="inline-formula">±</span> 0.7 ppbv <span class="inline-formula">O<sub>3</sub></span> increase in May–June 2020 relative to 2019. The meteorology-induced surface <span class="inline-formula">O<sub>3</sub></span> increase is mainly attributed to an increase in temperature and decreases in precipitation, specific humidity, and cloud fractions over the SCB and surrounding regions in May–June 2020 relative to 2019. These changes in meteorology combined with the complex basin effect enhance biogenic emissions of volatile organic compounds (<span class="inline-formula">VOCs</span>) and nitrogen oxides (<span class="inline-formula">NO<sub><i>x</i></sub></span>), speed up <span class="inline-formula">O<sub>3</sub></span> chemical production, and inhibit the ventilation of <span class="inline-formula">O<sub>3</sub></span> and its precursors; therefore, they account for the surface <span class="inline-formula">O<sub>3</sub></span> enhancements over the SCB. The total premature mortality due to the unexpected surface <span class="inline-formula">O<sub>3</sub></span> enhancements over the SCB has increased by 89.8 % in May–June 2020 relative to 2019.</p>
ISSN:1680-7316
1680-7324