Xiao-Yong Liu, Jun Yan, Hang Liu, Fang-Cheng Su, Dan Yao, Ji-Qiang Niu, Jun-Hui Yan
{"title":"[河南省 2019 至 2021 年区域背景臭氧估算]。","authors":"Xiao-Yong Liu, Jun Yan, Hang Liu, Fang-Cheng Su, Dan Yao, Ji-Qiang Niu, Jun-Hui Yan","doi":"10.13227/j.hjkx.202308191","DOIUrl":null,"url":null,"abstract":"<p><p>Clarifying the regional transmission and local generation contributions of ozone (O<sub>3</sub>) is important for controlling O<sub>3</sub> pollution. To quantify the regional background and spatial-temporal variations of O<sub>3</sub>, a comprehensive study was conducted using multiple methods including principal component analysis (PCA) and TCEQ, with Henan Province as a case study. Based on monitoring data from 59 national sites in Henan Province during 2019-2021, four methods were employed to estimate the regional background of O<sub>3</sub>. Method 1 was the traditional method, performing O<sub>3</sub> univariate-multisite PCA analysis. Method 2 was a multivariate-single-site PCA analysis considering nitrogen dioxide and meteorological conditions as constraints. Method 3 combined PCA and multiple linear regression (MLR) to determine regional background contributions, drawing on the idea of source apportionment. Method 4 was the TCEQ method that used the lowest measured O<sub>3</sub>-8h concentration as the regional background. The estimation results showed that Methods 1 and 2 were basically equal, and Methods 3 and 4 were approximately 37-60 μg·m<sup>-3</sup> lower than Method 1. From 2019 to 2021, the changes in regional background <i>ρ</i>(O<sub>3</sub>-8h) estimated by Methods 1-4 were 1.6, -13.4, 5.9, and -3.5 μg·m<sup>-3</sup>, respectively. The average estimations derived from multiple methods showed that the regional background <i>ρ</i>(O<sub>3</sub>-8h) in Henan Province from 2019 to 2021 concentrations were 82.0, 79.0, and 79.7 μg·m<sup>-3</sup>, accounting for 75.9%, 76.4%, and 78.7% of the total regional O<sub>3</sub>-8h, respectively. The regional background O<sub>3</sub>-8h estimated by the four methods showed obvious seasonal changes, characterized by summer > spring > fall > winter.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Estimation of Regional Background Ozone in Henan Province from 2019 to 2021].\",\"authors\":\"Xiao-Yong Liu, Jun Yan, Hang Liu, Fang-Cheng Su, Dan Yao, Ji-Qiang Niu, Jun-Hui Yan\",\"doi\":\"10.13227/j.hjkx.202308191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Clarifying the regional transmission and local generation contributions of ozone (O<sub>3</sub>) is important for controlling O<sub>3</sub> pollution. To quantify the regional background and spatial-temporal variations of O<sub>3</sub>, a comprehensive study was conducted using multiple methods including principal component analysis (PCA) and TCEQ, with Henan Province as a case study. Based on monitoring data from 59 national sites in Henan Province during 2019-2021, four methods were employed to estimate the regional background of O<sub>3</sub>. Method 1 was the traditional method, performing O<sub>3</sub> univariate-multisite PCA analysis. Method 2 was a multivariate-single-site PCA analysis considering nitrogen dioxide and meteorological conditions as constraints. Method 3 combined PCA and multiple linear regression (MLR) to determine regional background contributions, drawing on the idea of source apportionment. Method 4 was the TCEQ method that used the lowest measured O<sub>3</sub>-8h concentration as the regional background. The estimation results showed that Methods 1 and 2 were basically equal, and Methods 3 and 4 were approximately 37-60 μg·m<sup>-3</sup> lower than Method 1. From 2019 to 2021, the changes in regional background <i>ρ</i>(O<sub>3</sub>-8h) estimated by Methods 1-4 were 1.6, -13.4, 5.9, and -3.5 μg·m<sup>-3</sup>, respectively. The average estimations derived from multiple methods showed that the regional background <i>ρ</i>(O<sub>3</sub>-8h) in Henan Province from 2019 to 2021 concentrations were 82.0, 79.0, and 79.7 μg·m<sup>-3</sup>, accounting for 75.9%, 76.4%, and 78.7% of the total regional O<sub>3</sub>-8h, respectively. The regional background O<sub>3</sub>-8h estimated by the four methods showed obvious seasonal changes, characterized by summer > spring > fall > winter.</p>\",\"PeriodicalId\":35937,\"journal\":{\"name\":\"Huanjing Kexue/Environmental Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Huanjing Kexue/Environmental Science\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.13227/j.hjkx.202308191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Huanjing Kexue/Environmental Science","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202308191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
[Estimation of Regional Background Ozone in Henan Province from 2019 to 2021].
Clarifying the regional transmission and local generation contributions of ozone (O3) is important for controlling O3 pollution. To quantify the regional background and spatial-temporal variations of O3, a comprehensive study was conducted using multiple methods including principal component analysis (PCA) and TCEQ, with Henan Province as a case study. Based on monitoring data from 59 national sites in Henan Province during 2019-2021, four methods were employed to estimate the regional background of O3. Method 1 was the traditional method, performing O3 univariate-multisite PCA analysis. Method 2 was a multivariate-single-site PCA analysis considering nitrogen dioxide and meteorological conditions as constraints. Method 3 combined PCA and multiple linear regression (MLR) to determine regional background contributions, drawing on the idea of source apportionment. Method 4 was the TCEQ method that used the lowest measured O3-8h concentration as the regional background. The estimation results showed that Methods 1 and 2 were basically equal, and Methods 3 and 4 were approximately 37-60 μg·m-3 lower than Method 1. From 2019 to 2021, the changes in regional background ρ(O3-8h) estimated by Methods 1-4 were 1.6, -13.4, 5.9, and -3.5 μg·m-3, respectively. The average estimations derived from multiple methods showed that the regional background ρ(O3-8h) in Henan Province from 2019 to 2021 concentrations were 82.0, 79.0, and 79.7 μg·m-3, accounting for 75.9%, 76.4%, and 78.7% of the total regional O3-8h, respectively. The regional background O3-8h estimated by the four methods showed obvious seasonal changes, characterized by summer > spring > fall > winter.