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DOI | 10.1016/j.atmosenv.2021.118221 |
Understanding the impact of meteorology on ozone in 334 cities of China | |
Hu C.; Kang P.; Jaffe D.A.; Li C.; Zhang X.; Wu K.; Zhou M. | |
发表日期 | 2021 |
ISSN | 1352-2310 |
卷号 | 248 |
英文摘要 | The daily variations of near-surface ozone (O3), one of the major air pollutants in China, depend on meteorological conditions. In this study, we analyzed the characteristics of O3 pollution and the complicated interactions among the controlling meteorological factors. In China, O3 pollution is becoming severe and high-concentration areas are expanding greatly. We found that O3 was correlated to numerous meteorological variables including air pressure, temperature, relative humidity, wind speed, wind direction, sunshine duration, evaporation, and precipitation. Using generalized additive models (GAMs), we developed predictive models to forecast the maximum daily 8 h O3 mass concentration for 334 cities in China. Different cities were influenced by different meteorological variables, with temperature (90.77%), relative humidity (68.15%), and sunshine hours (66.96%) being the top three influencing factors. In addition, we found that the influence of these meteorological factors on O3 pollution was nonlinear and impacted by the interaction between variables. Considering individual relationships between each meteorological factor and O3, the average coefficient of determination (R2) of GAMs for the 334 cities was 0.64 ± 0.16. However, considering the interaction between variables, the average R2 for 334 cities of revised GAMs increased to 0.72 ± 0.15. The R2 was significantly improved in 96.72% of the cities after considering the interactions among the meteorological factors based on a ten-fold cross-validation method. Furthermore, we found that the GAM residuals were unbiased. As an example of using and interpreting the GAM results, we focused on a case study in Hangzhou during the G20 summit in 2016. During this period, nitrogen oxides (NOx) and volatile organic compounds were reduced by 51.67% and 49.00%, respectively, because of local emission controls. Despite these changes in precursor emissions, O3 changed slightly during this period, suggesting that O3 in Hangzhou at the time was not controlled by local precursor emissions, but was impacted by meteorological conditions. © 2021 Elsevier Ltd |
关键词 | ChinaGeneralized additive models (GAMs)Hangzhou G20 summitMeteorological conditionOzone (O3) |
语种 | 英语 |
scopus关键词 | Air pollution; Air pollution control; Nitrogen oxides; Ozone; Predictive analytics; Volatile organic compounds; Wind; Coefficient of determination; Cross-validation methods; Generalized additive model; Mass concentration; Meteorological condition; Meteorological factors; Meteorological variables; Predictive models; Atmospheric temperature; nitrogen oxide; ozone; volatile organic compound; atmospheric pollution; climate conditions; concentration (composition); meteorology; nitrogen oxides; ozone; precipitation (climatology); relative humidity; urban area; air pollution; air pollution control; air pressure; Article; China; concentration (parameter); cross validation; environmental temperature; evaluation study; evaporation; humidity; meteorological phenomena; meteorology; precipitation; priority journal; statistical model; sunlight; wind; wind speed; China; Hangzhou; Zhejiang |
来源期刊 | ATMOSPHERIC ENVIRONMENT |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/248573 |
作者单位 | Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China; School of Science, Technology, Engineering and Mathematics, University of Washington Bothell, 18115 Campus Way NE, Bothell, WA 98011, United States; Department of Atmospheric Sciences, University of Washington Seattle, Seattle, WA 98195, United States; Department of Land, Air, and Water Resources, University of California, Davis, One Shields Avenue, DavisCA 95616, United States; Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, United States |
推荐引用方式 GB/T 7714 | Hu C.,Kang P.,Jaffe D.A.,et al. Understanding the impact of meteorology on ozone in 334 cities of China[J],2021,248. |
APA | Hu C..,Kang P..,Jaffe D.A..,Li C..,Zhang X..,...&Zhou M..(2021).Understanding the impact of meteorology on ozone in 334 cities of China.ATMOSPHERIC ENVIRONMENT,248. |
MLA | Hu C.,et al."Understanding the impact of meteorology on ozone in 334 cities of China".ATMOSPHERIC ENVIRONMENT 248(2021). |
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