Ting-Yuan Li, Jing Tang, Jin Shen, Jing-Yang Chen, Yu Gong
{"title":"[Impact of Meteorological Factors on Ozone Concentration in Four Typical Cities of Guangdong Based on Generalized Additive Model].","authors":"Ting-Yuan Li, Jing Tang, Jin Shen, Jing-Yang Chen, Yu Gong","doi":"10.13227/j.hjkx.202402121","DOIUrl":null,"url":null,"abstract":"<p><p>Based on the observation and reanalysis data in Guangdong from 2015 to 2020, the variation characteristics of ozone (O<sub>3</sub>) concentration in Guangdong and four typical cities were analyzed, and the effects of meteorological factors on O<sub>3</sub> concentration in different cities and different seasons were revealed based on the generalized additive model (GAM). The daily maximum 8-hour average O<sub>3</sub> concentration (O<sub>3</sub>_8h) increased significantly from 2015 to 2019, with a trend of 5.0 μg·m<sup>-3</sup>·a<sup>-1</sup>, and decreased slightly in 2020 in Guangdong. The O<sub>3</sub>_8h concentration and the total number of polluted days were substantially higher in autumn than those in other seasons in Guangdong and showed different variation characteristics in four typical cities. The highest values in Guangzhou, Heyuan, Jieyang, and Maoming occurred in summer and autumn, spring and summer, spring and autumn, and autumn, respectively. The regression model had a good fit for the variation in O<sub>3</sub>_8h concentration, and the seasonal models were generally better than the annual models. As for the seasonal models, the average <i>R</i><sup>2</sup> values were 0.78, 0.69, 0.70, and 0.65, and the mean interpretation rate of variance (IRV) values were 79%, 71%, 73%, and 67% in Guangzhou, Heyuan, Jieyang, and Maoming, respectively. The equation fitting degrees of the optimal models varied considerably in different cities and different seasons, with the <i>R</i><sup>2</sup> values ranging from 0.52 to 0.83 and the IRV values ranging from 55.5% to 86.9%. The O<sub>3</sub>_8h concentration showed a nonlinear relationship with meteorological factors. The meteorological factors that had a significant impact on the variation of O<sub>3</sub>_8h concentration in different cities and seasons differed considerably, and all of the meteorological factors were in the top three lists of importance. Relative humidity was the most important meteorological factor affecting the variation in O<sub>3</sub>_8h concentration in different cities, followed by the V-component of wind. When the relative humidity was below 45%, the O<sub>3</sub>_8h concentration was relatively higher. When the relative humidity was above 45%, the O<sub>3</sub>_8h concentration decreased with the increase in relative humidity. Higher O<sub>3</sub> concentrations appeared when the wind speed was greater than 2 m·s<sup>-1</sup>, indicating the regional transport of pollutants and emphasizing the importance of regional joint prevention and control.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 2","pages":"746-754"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202402121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
[Impact of Meteorological Factors on Ozone Concentration in Four Typical Cities of Guangdong Based on Generalized Additive Model].
Based on the observation and reanalysis data in Guangdong from 2015 to 2020, the variation characteristics of ozone (O3) concentration in Guangdong and four typical cities were analyzed, and the effects of meteorological factors on O3 concentration in different cities and different seasons were revealed based on the generalized additive model (GAM). The daily maximum 8-hour average O3 concentration (O3_8h) increased significantly from 2015 to 2019, with a trend of 5.0 μg·m-3·a-1, and decreased slightly in 2020 in Guangdong. The O3_8h concentration and the total number of polluted days were substantially higher in autumn than those in other seasons in Guangdong and showed different variation characteristics in four typical cities. The highest values in Guangzhou, Heyuan, Jieyang, and Maoming occurred in summer and autumn, spring and summer, spring and autumn, and autumn, respectively. The regression model had a good fit for the variation in O3_8h concentration, and the seasonal models were generally better than the annual models. As for the seasonal models, the average R2 values were 0.78, 0.69, 0.70, and 0.65, and the mean interpretation rate of variance (IRV) values were 79%, 71%, 73%, and 67% in Guangzhou, Heyuan, Jieyang, and Maoming, respectively. The equation fitting degrees of the optimal models varied considerably in different cities and different seasons, with the R2 values ranging from 0.52 to 0.83 and the IRV values ranging from 55.5% to 86.9%. The O3_8h concentration showed a nonlinear relationship with meteorological factors. The meteorological factors that had a significant impact on the variation of O3_8h concentration in different cities and seasons differed considerably, and all of the meteorological factors were in the top three lists of importance. Relative humidity was the most important meteorological factor affecting the variation in O3_8h concentration in different cities, followed by the V-component of wind. When the relative humidity was below 45%, the O3_8h concentration was relatively higher. When the relative humidity was above 45%, the O3_8h concentration decreased with the increase in relative humidity. Higher O3 concentrations appeared when the wind speed was greater than 2 m·s-1, indicating the regional transport of pollutants and emphasizing the importance of regional joint prevention and control.