Machine Learning Integrated PMF Model Reveals Influencing Factors of Ozone Pollution in a Coal Chemical Industry City at the Jiangsu-Shandong-Henan-Anhui Boundary DOI
Chaolong Wang, Xiaofei Qin, Yisheng Zhang

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 342, P. 120916 - 120916

Published: Nov. 2, 2024

Language: Английский

Unprecedented impacts of meteorological and photolysis rates on ozone pollution in a coastal megacity of northern China DOI

Jianli Yang,

Chaolong Wang, Yisheng Zhang

et al.

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102461 - 102461

Published: Feb. 1, 2025

Language: Английский

Citations

0

Improved seamless mapping of surface O3 concentrations using an integrated deep learning framework DOI Creative Commons
Tongwen Li, Jingan Wu, Yuan Wang

et al.

npj Climate and Atmospheric Science, Journal Year: 2025, Volume and Issue: 8(1)

Published: March 28, 2025

Language: Английский

Citations

0

Sulfuric/Sulfurous Acids Induce Self‐Protection of Phospholipids Against Air–Water Interfacial Ozonolysis DOI
Hong Zhang, Yuqing Niu,

Jiaqi Xing

et al.

Journal of Mass Spectrometry, Journal Year: 2025, Volume and Issue: 60(5)

Published: April 21, 2025

ABSTRACT Sulfides are ubiquity in atmosphere and can convert to be H 2 SO 3 /H 4 , which could affect the inflammatory responses induced by ozone. However, mixing effect mechanism of ozone at molecular‐level on lung surface is still indefinable. Herein, using 1‐palmitoyl‐2‐oleoyl‐ sn ‐glycero‐3‐phosphatidylglycerol (POPG) monolayer as a model, effects interfacial ozonolysis phospholipids were explored. Both decrease efficiencies POPG showed remarkable concentration dependence. The main components investigated system their separately explored, was proposed. observed resulted from hydrolysis + reactive activity HSO − 2− towards provide oleic acids, further lowered efficiency. In addition, efficiency case lower than that case, self‐sacrificing oxidation responsible for this process. Considering extra epithelial lining fluid lung, short‐term or low exposure thought trigger self‐protection lung. long‐term high would lead irreversible damage.

Language: Английский

Citations

0

Observation-Based Ozone Formation Rules by Gradient Boosting Decision Trees Model in Typical Chemical Industrial Parks DOI Creative Commons
Nana Cheng, Deji Jing,

Zhenyu Gu

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(5), P. 600 - 600

Published: May 14, 2024

Ozone pollution in chemical industrial parks is severe and complicated significantly influenced by pollutant emissions meteorological parameters. In this study, we innovatively investigated the formation rules of ozone using observation-based analyses a gradient-boosting decision tree (GBDT) model, focusing on typical park located Yangtze River Delta China. The results revealed that concentration was positively correlated with temperature while negatively NO2 relative humidity (RH). predominantly observed from April to October (M4–10). optimized GBDT model subsequently utilized establish specific quantifiable relationship between each single dominant impact factor (RH, NO2, temperature, PM2.5) within complex uncertain multi-factor context during M4–10. Detailed discussions were conducted reaction rate ozone-related different levels RH temperature. accumulation favored high low RH, maximum at 50% 35 °C. NO2-O3 change curve exhibited distinct phases, including period stability, gradual increase, rapid equilibrium. During second third periods, ratio production consumption 0.10 2.73, respectively. Furthermore, there non-monotonic variations PM2.5 concentration. Hence, it imperative implement fine control strategies park, such as adopting seasonal strategies, implementing targeted measures for controlling NOx active VOCs, employing special methods periods This study provides aid achieving effective management localized ensuring compliance air quality standards.

Language: Английский

Citations

3

Estimation of Near-Surface High Spatiotemporal Resolution Ozone Concentration in China Using Himawari-8 AOD DOI Creative Commons

Yixuan Wang,

Chongshui Gong, Li Dong

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 528 - 528

Published: Feb. 4, 2025

Near-surface ozone is a secondary pollutant, and its high concentrations pose significant risks to human plant health. Based on an Extra Tree (ET) model, this study estimated near-surface with the spatiotemporal resolution based Himawari-8 aerosol optical depth (AOD) data meteorological variables from 1 January 2016 31 December 2020. The SHapley Additive exPlanation (SHAP) method was employed evaluate contribution of AOD factors concentration. results indicate that (1) ET model achieves sample-based cross-validation R2 0.75–0.87 RMSE (μg/m3) 17.96–20.30. coefficient determination (R2) values in spring, summer, autumn, winter are 0.81, 0.80, 0.87, 0.75, respectively. (2) Higher temperature boundary layer heights were found positively contribute concentration, whereas higher relative humidity exerted negative influence. (3) From 11:00 15:00 (Beijing time, UTC+08:00), concentration increases gradually, highest occurring followed by spring. This has obtained spatial temporal data, offering valuable insights for development fine-scale pollution prevention control strategies.

Language: Английский

Citations

0

Revisiting the impact of temperature on ground-level ozone: A causal inference approach DOI
Baihua Chen,

Ling Zhen,

Lin Wang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 176062 - 176062

Published: Sept. 6, 2024

Language: Английский

Citations

1

Machine Learning Integrated PMF Model Reveals Influencing Factors of Ozone Pollution in a Coal Chemical Industry City at the Jiangsu-Shandong-Henan-Anhui Boundary DOI
Chaolong Wang, Xiaofei Qin, Yisheng Zhang

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 342, P. 120916 - 120916

Published: Nov. 2, 2024

Language: Английский

Citations

1