Synergy of Natural Sources Exacerbates Ozone Pollution in China during Drought–Heatwave Extremes

In August 2022, a record-breaking compound drought-heatwave (CDHW) event coincided with severe ozone pollution in central eastern China (CEC), causing severe threats to human health. Using observations and model simulations, we demonstrate that increases in natural sources of air pollutants, including a 74.7% increase in soil reactive oxidized nitrogen (N<sub>r</sub>) and a 27.8% increase in biogenic volatile organic compounds (VOCs), enhanced daily maximum 8 h average (MDA8) ozone levels by 4.4 ppb (7.8%) over the CEC region, which dominated ozone exacerbation during the regional CDHW days. Under China's carbon neutrality policy with natural sources fixed at 2022 levels, stringent anthropogenic emission controls could lower the total CDHW-induced ozone enhancements. However, the impacts of soil N<sub>r</sub> emissions, including their direct effects and synergistic interactions with biogenic VOCs, are projected to intensify due to the transition of ozone sensitivity. Consequently, the efficacy of anthropogenic emission control is diminished, leading to a limited mitigation of 0.4 ppb in the ozone surge during the 2022-like CDHW events by 2060. Our study highlights the need to consider soil N<sub>r</sub> emissions in future air quality management.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2025-10-17
DOI
https://doi.org/10.1021/acs.est.5c07239
Citations
1
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synergy of Natural Sources Exacerbates Ozone Pollution in China during Drought–Heatwave Extremes

Tianshu Chen, Qinyi Li, Yanan Wang, Tao Wang et al.
1 citations
Environmental Science & Technology
Atmospheric chemistry and aerosols
1.30
article

Synergy of Natural Sources Exacerbates Ozone Pollution in China during Drought–Heatwave Extremes

Tianshu Chen, Qinyi Li, Yanan Wang, Tao Wang, Yue Tan, Yurun Wang
article en
1 citations

Abstract

In August 2022, a record-breaking compound drought-heatwave (CDHW) event coincided with severe ozone pollution in central eastern China (CEC), causing severe threats to human health. Using observations and model simulations, we demonstrate that increases in natural sources of air pollutants, including a 74.7% increase in soil reactive oxidized nitrogen (N<sub>r</sub>) and a 27.8% increase in biogenic volatile organic compounds (VOCs), enhanced daily maximum 8 h average (MDA8) ozone levels by 4.4 ppb (7.8%) over the CEC region, which dominated ozone exacerbation during the regional CDHW days. Under China's carbon neutrality policy with natural sources fixed at 2022 levels, stringent anthropogenic emission controls could lower the total CDHW-induced ozone enhancements. However, the impacts of soil N<sub>r</sub> emissions, including their direct effects and synergistic interactions with biogenic VOCs, are projected to intensify due to the transition of ozone sensitivity. Consequently, the efficacy of anthropogenic emission control is diminished, leading to a limited mitigation of 0.4 ppb in the ozone surge during the 2022-like CDHW events by 2060. Our study highlights the need to consider soil N<sub>r</sub> emissions in future air quality management.

Environmental Science & TechnologyVol. 59(42)
Hong Kong Polytechnic University (HK), Shandong University (CN), Center for Climate and Resilience Research (CL)
Openalex Percentile: Top 17%
Atmospheric chemistry and aerosols
1.30
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.