An Unprecedented Ozone Reduction at a Coastal Background Site in South China: Drivers and Implications

Ozone (O3) concentration in the regional atmosphere of South China was shown to increase. Here, we identified an unprecedented O3 reduction at a high rate of 2.79 ± 0.08 ppbv yr–1 during 2018–2023, contrasting with the long-term rise in the level of O3 at the same site. We found that this change was unlikely to be caused by COVID-19 lockdowns. Carbon monoxide and some volatile organic compounds (e.g., formaldehyde and toluene) also decreased. Significant O3 reductions occurred in the summer and autumn, with summer showing a higher percentage decline (9.51% yr–1). An ensemble machine learning model was developed to eliminate meteorological impacts on the O3 trends, which was shown to explain 24.5% of the year-round O3 reduction rate. The Weather Research and Forecasting model, coupled with Community Multiscale Air Quality, quantified the meteorological contribution of 54.0% to significant O3 reduction in August 2018 to 2023. While the model well reproduced O3 in August 2018, it overestimated the level of O3 in August 2023 when using emissions derived from simple extrapolation. Nevertheless, the remaining half of the O3 reduction rate in August was likely attributed to changes in anthropogenic emissions on land. This study also highlights the need for timely updates to emission inventories for effective air quality policy evaluations.

Authors

Institutions

Publication Details

Journal
ACS ES&T Air
Published
2026-02-12
DOI
https://doi.org/10.1021/acsestair.5c00386
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Unprecedented Ozone Reduction at a Coastal Background Site in South China: Drivers and Implications

Xiaopu Lyu, Run Zhou, Hongtao Wang, Yuelin Liu et al.
ACS ES&T Air
Atmospheric chemistry and aerosols
article

An Unprecedented Ozone Reduction at a Coastal Background Site in South China: Drivers and Implications

Xiaopu Lyu, Run Zhou, Hongtao Wang, Yuelin Liu, Zhijiong Huang, Tsz Fai Vincent Cheung, Yan Zhang, Huaiyuan Liu
article en

Abstract

Ozone (O3) concentration in the regional atmosphere of South China was shown to increase. Here, we identified an unprecedented O3 reduction at a high rate of 2.79 ± 0.08 ppbv yr–1 during 2018–2023, contrasting with the long-term rise in the level of O3 at the same site. We found that this change was unlikely to be caused by COVID-19 lockdowns. Carbon monoxide and some volatile organic compounds (e.g., formaldehyde and toluene) also decreased. Significant O3 reductions occurred in the summer and autumn, with summer showing a higher percentage decline (9.51% yr–1). An ensemble machine learning model was developed to eliminate meteorological impacts on the O3 trends, which was shown to explain 24.5% of the year-round O3 reduction rate. The Weather Research and Forecasting model, coupled with Community Multiscale Air Quality, quantified the meteorological contribution of 54.0% to significant O3 reduction in August 2018 to 2023. While the model well reproduced O3 in August 2018, it overestimated the level of O3 in August 2023 when using emissions derived from simple extrapolation. Nevertheless, the remaining half of the O3 reduction rate in August was likely attributed to changes in anthropogenic emissions on land. This study also highlights the need for timely updates to emission inventories for effective air quality policy evaluations.

ACS ES&T AirVol. 3(3)
Bay Area Air Quality Management District (US), Department of Health (CN), Hong Kong Baptist University (HK), Sichuan University (CN), Fudan University (CN), Quality Research (US)
Life below water
Openalex Percentile: Top 69%
Atmospheric chemistry and aerosols
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.