[Urban Ozone Driving Factors Based on Explainable Machine Learning].

Sixteen sites in the coastal city of Qingdao, including eight national control sites, seven provincial control sites, and one background site, were selected. By coupling the extreme gradient boosting (XGBoost) model with the interpretability SHapley Additive exPlanations (SHAP) module, the impact of meteorological elements and atmospheric pollutant emissions on ozone (O<sub>3</sub>) pollution was investigated. The results indicated that from 2019 to 2023, meteorological factors contributed 67.7% to O<sub>3</sub> formation, whereas emissions from atmospheric pollutants accounted for 32.3%. Surface solar radiation significantly affected O<sub>3</sub> formation from 10:00 to 17:00. A positive correlation existed between temperature and O<sub>3</sub> concentration, peaking at 14:00. A relative humidity below 70% was conducive to O<sub>3</sub> formation and a relative humidity above 70% had a 94% probability of negatively contributing to O<sub>3</sub> production. Particularly between 12:00 and 16:00, relative humidity significantly and positively contributed to O<sub>3</sub> formation. When the boundary layer height was below 500 meters, it positively affected O<sub>3</sub> concentration, whereas above this height, its impact weakened. In the morning and late afternoon, boundary layer height promoted the formation of O<sub>3</sub> concentration. Easterly (E) to southwesterly (SW) winds had a positive effect on O<sub>3</sub> concentrations in Qingdao. NO<sub>2</sub> showed a negative response in the morning (06:00-11:00) and a positive response in the afternoon (12:00-15:00). PM<sub>2.5</sub> had a nonlinear positive correlation with O<sub>3</sub>, positively affecting O<sub>3</sub> concentration from 07:00 to 14:00 PM and suppressing it from 15:00 to 18:00. Significant differences existed in the dominant factors of O<sub>3</sub> concentration across different areas and seasons. In the western Laoshan District, Yangkou, the western site of the Shinan District, and eastern and western parts of the West Coast New Area, surface solar radiation had a noticeably lower impact on O<sub>3</sub> than in other locations. The effect of NO<sub>2</sub> was most significant in the eastern parts of the West Coast New Area, western Laoshan District, and Yangkou. PM<sub>2.5</sub> affected O<sub>3</sub> formation more in these sites than in others of Qingdao. In spring, the impact of NO<sub>2</sub> was more significant in the western Laoshan and Shinan Districts. In summer, surface solar radiation was more influential in Yangkou, the eastern and western parts of the West Coast New Area, the western Laoshan District, and the Shibei District, whereas, relative humidity was the key factor in other locations. In autumn, temperature and surface solar radiation were the main factors affecting O<sub>3</sub>. In winter, the contribution of NO<sub>2</sub> was higher than that in different seasons, with anthropogenic emissions playing a more important role in O<sub>3</sub> formation. The analysis of days exceeding O<sub>3</sub> standards showed that surface solar radiation and NO<sub>2</sub> were the main drivers of exceeding O<sub>3</sub> concentrations. For all sites, the total SHAP values of PM<sub>2.5</sub> and PM<sub>10</sub> on days exceeding O<sub>3</sub> standards ranged between 6.1 μg·m<sup>-3</sup> and 12.4 μg·m<sup>-3</sup>.

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Publication Details

Journal
PubMed
Published
2025-05-08
DOI
https://doi.org/10.13227/j.hjkx.202404320
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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article

[Urban Ozone Driving Factors Based on Explainable Machine Learning].

Song Zhang, Jinhua Du, Xiaofei Qin, Dasa Gu et al.
PubMed
Air Quality Monitoring and Forecasting
article

[Urban Ozone Driving Factors Based on Explainable Machine Learning].

Song Zhang, Jinhua Du, Xiaofei Qin, Dasa Gu, Yuan Fang, Wen-Xin Tao, Lian Xue, Guan Wang, Cong Wang, Shanshan Cui, Yisheng Zhang
article en

Abstract

Sixteen sites in the coastal city of Qingdao, including eight national control sites, seven provincial control sites, and one background site, were selected. By coupling the extreme gradient boosting (XGBoost) model with the interpretability SHapley Additive exPlanations (SHAP) module, the impact of meteorological elements and atmospheric pollutant emissions on ozone (O<sub>3</sub>) pollution was investigated. The results indicated that from 2019 to 2023, meteorological factors contributed 67.7% to O<sub>3</sub> formation, whereas emissions from atmospheric pollutants accounted for 32.3%. Surface solar radiation significantly affected O<sub>3</sub> formation from 10:00 to 17:00. A positive correlation existed between temperature and O<sub>3</sub> concentration, peaking at 14:00. A relative humidity below 70% was conducive to O<sub>3</sub> formation and a relative humidity above 70% had a 94% probability of negatively contributing to O<sub>3</sub> production. Particularly between 12:00 and 16:00, relative humidity significantly and positively contributed to O<sub>3</sub> formation. When the boundary layer height was below 500 meters, it positively affected O<sub>3</sub> concentration, whereas above this height, its impact weakened. In the morning and late afternoon, boundary layer height promoted the formation of O<sub>3</sub> concentration. Easterly (E) to southwesterly (SW) winds had a positive effect on O<sub>3</sub> concentrations in Qingdao. NO<sub>2</sub> showed a negative response in the morning (06:00-11:00) and a positive response in the afternoon (12:00-15:00). PM<sub>2.5</sub> had a nonlinear positive correlation with O<sub>3</sub>, positively affecting O<sub>3</sub> concentration from 07:00 to 14:00 PM and suppressing it from 15:00 to 18:00. Significant differences existed in the dominant factors of O<sub>3</sub> concentration across different areas and seasons. In the western Laoshan District, Yangkou, the western site of the Shinan District, and eastern and western parts of the West Coast New Area, surface solar radiation had a noticeably lower impact on O<sub>3</sub> than in other locations. The effect of NO<sub>2</sub> was most significant in the eastern parts of the West Coast New Area, western Laoshan District, and Yangkou. PM<sub>2.5</sub> affected O<sub>3</sub> formation more in these sites than in others of Qingdao. In spring, the impact of NO<sub>2</sub> was more significant in the western Laoshan and Shinan Districts. In summer, surface solar radiation was more influential in Yangkou, the eastern and western parts of the West Coast New Area, the western Laoshan District, and the Shibei District, whereas, relative humidity was the key factor in other locations. In autumn, temperature and surface solar radiation were the main factors affecting O<sub>3</sub>. In winter, the contribution of NO<sub>2</sub> was higher than that in different seasons, with anthropogenic emissions playing a more important role in O<sub>3</sub> formation. The analysis of days exceeding O<sub>3</sub> standards showed that surface solar radiation and NO<sub>2</sub> were the main drivers of exceeding O<sub>3</sub> concentrations. For all sites, the total SHAP values of PM<sub>2.5</sub> and PM<sub>10</sub> on days exceeding O<sub>3</sub> standards ranged between 6.1 μg·m<sup>-3</sup> and 12.4 μg·m<sup>-3</sup>.

PubMedVol. 46(5)
Qingdao University (CN), Qingdao Municipal Hospital (CN), Qingdao University of Technology (CN)
Life below water
Air Quality Monitoring and Forecasting
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