Characteristics and simulation of ozone pollution in Haikou City under combined effects of meteorological factors and pollutants

Ozone (O 3 ) pollution has become a central concern in regional air-quality management. Using environmental monitoring and co-located surface meteorological observations for Haikou from 2016 to 2024, we examine nine-year variations in the daily maximum 8-h average O 3 concentration (O 3 -8 h) Twelve routinely measured air pollutants and meteorological variables were used as inputs to three models—random forest (RF), XGBoost, and LightGBM—to simulate and verify O 3 -8 h in 2024. Over the study period, O 3 -8 h increased at 1.61 µg (m 3 a) −1 . Haikou averaged 9.1 days of light O 3 pollution per year, with an overall exceedance rate of 2.49%. Seasonally, O 3 -8 h was highest in autumn, followed by winter and spring, and lowest in summer. The monthly cycle was bimodal, peaking at 78.7 µg m −3 in April and 101.3 µg m −3 in October. O 3 -8 h correlated positively with PM 10 and PM 2.5 ( r = 0.67 and 0.64). All three models reproduced the 2024 temporal pattern but underperformed for extreme values. RF performed best (RMSE = 21.35 µg m −3 , MB = − 5.29 µg m −3 , MNB = − 0.40%, and R 2 = 0.566), indicating stronger applicability for dynamic O 3 simulation in Haikou. The results provide a basis for ozone early warning and air-quality management in tropical coastal cities.

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Publication Details

Journal
Scientific Reports
Published
2026-10-19
DOI
https://doi.org/10.1038/s41598-026-76139-y
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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article

Characteristics and simulation of ozone pollution in Haikou City under combined effects of meteorological factors and pollutants

Jin-He Tong, Jia-Xiang Tang, Li Dan, Chuanbo Fu
Scientific Reports
Air Quality Monitoring and Forecasting
article

Characteristics and simulation of ozone pollution in Haikou City under combined effects of meteorological factors and pollutants

Jin-He Tong, Jia-Xiang Tang, Li Dan, Chuanbo Fu
article en

Abstract

Ozone (O 3 ) pollution has become a central concern in regional air-quality management. Using environmental monitoring and co-located surface meteorological observations for Haikou from 2016 to 2024, we examine nine-year variations in the daily maximum 8-h average O 3 concentration (O 3 -8 h) Twelve routinely measured air pollutants and meteorological variables were used as inputs to three models—random forest (RF), XGBoost, and LightGBM—to simulate and verify O 3 -8 h in 2024. Over the study period, O 3 -8 h increased at 1.61 µg (m 3 a) −1 . Haikou averaged 9.1 days of light O 3 pollution per year, with an overall exceedance rate of 2.49%. Seasonally, O 3 -8 h was highest in autumn, followed by winter and spring, and lowest in summer. The monthly cycle was bimodal, peaking at 78.7 µg m −3 in April and 101.3 µg m −3 in October. O 3 -8 h correlated positively with PM 10 and PM 2.5 ( r = 0.67 and 0.64). All three models reproduced the 2024 temporal pattern but underperformed for extreme values. RF performed best (RMSE = 21.35 µg m −3 , MB = − 5.29 µg m −3 , MNB = − 0.40%, and R 2 = 0.566), indicating stronger applicability for dynamic O 3 simulation in Haikou. The results provide a basis for ozone early warning and air-quality management in tropical coastal cities.

Scientific Reports
Hainan Meteorology Administration (CN), Hainan Meteorological Service (CN), Institute of Atmospheric Physics (CN)
Openalex Percentile: Top 21%
Air Quality Monitoring and Forecasting
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