Future trends and driving factors of ozone pollution in China under the carbon neutrality target using an ensemble machine learning approach

= 0.83), projections for 2060 (relative to 2020) show that the national average ozone will decrease by 1.9 ppbv, 2.7 ppbv, and 4.0 ppbv under SSP2-4.5-ECP, SSP5-8.5-BHE, and SSP1-2.6-BHE scenario, respectively. Emission-driven ozone (EDO) decreases dominate the national trend, with reductions up to 5.8 ppbv by 2060. In contrast, climate-driven ozone (CDO) shows a sharp north-south contrast: southern China experiences increase of 5.8-8.4 ppbv due to enhanced solar radiation and lower humidity, whereas northern China sees decreases of -1.2 to -2.6 ppbv by 2060. Our ensemble multi-model analysis reveals a sharply divergent ozone future across China, demanding region-specific strategies to address the climate penalty effect.

Authors

Institutions

Publication Details

Journal
Environment International
Published
2026-04-15
DOI
https://doi.org/10.1016/j.envint.2026.110263
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Future trends and driving factors of ozone pollution in China under the carbon neutrality target using an ensemble machine learning approach

Zibing Yuan, Zhonghua Zheng, Shu Zhang
Environment International
Energy, Environment, Economic Growth
article

Future trends and driving factors of ozone pollution in China under the carbon neutrality target using an ensemble machine learning approach

Zibing Yuan, Zhonghua Zheng, Shu Zhang
article en

Abstract

= 0.83), projections for 2060 (relative to 2020) show that the national average ozone will decrease by 1.9 ppbv, 2.7 ppbv, and 4.0 ppbv under SSP2-4.5-ECP, SSP5-8.5-BHE, and SSP1-2.6-BHE scenario, respectively. Emission-driven ozone (EDO) decreases dominate the national trend, with reductions up to 5.8 ppbv by 2060. In contrast, climate-driven ozone (CDO) shows a sharp north-south contrast: southern China experiences increase of 5.8-8.4 ppbv due to enhanced solar radiation and lower humidity, whereas northern China sees decreases of -1.2 to -2.6 ppbv by 2060. Our ensemble multi-model analysis reveals a sharply divergent ozone future across China, demanding region-specific strategies to address the climate penalty effect.

Environment InternationalVol. 211
University of Manchester (GB), Shandong Institute of Business and Technology (CN), South China University of Technology (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 11%
Energy, Environment, Economic Growth
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.