摘要
厘清臭氧(O_(3))区域传输和本地生成贡献对控制O_(3)污染有重要意义.为量化区域背景O_(3)浓度及其时空变化,采用包括主成分分析(PCA)和TCEQ法在内的多种方法,以河南省为案例进行了综合研究.基于2019~2021年河南省59个国控站监测数据,使用4种方法估算区域背景O_(3)浓度.方法1是传统方法,进行O_(3)单变量-多站点的PCA分析.方法2使用二氧化氮和气象参数作为约束条件,进行多变量-单站点的PCA分析.方法3将PCA和多元线性回归(MLR)结合,借鉴源解析思想,确定区域背景贡献.方法4为TCEQ法,将观测的最低O_(3)-8h浓度作为区域背景.结果表明,方法1和方法2估算的区域背景ρ(O_(3)-8h)基本相等,方法3和方法4估算的浓度比方法1低约37~60μg·m^(-3).2019~2021年,方法1~4估算的区域背景ρ(O_(3)-8h)变化分别为1.6、-13.4、5.9和-3.5μg·m^(-3).多种方法平均估算结果表明,2019~2021年河南省区域背景ρ(O_(3)-8h)分别为82.0、79.0和79.7μg·m^(-3),分别占区域O_(3)-8h总量的75.9%、76.4%和78.7%.4种方法估算的区域背景O_(3)都有明显的季节变化,呈夏季>春季>秋季>冬季的特征.
Clarifying the regional transmission and local generation contributions of ozone(O_(3))is important for controlling O_(3)pollution.To quantify the regional background and spatial-temporal variations of O_(3),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_(3).Method 1 was the traditional method,performing O_(3)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_(3)-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 37-60µg·m^(-3)lower than Method 1.From 2019 to 2021,the changes in regional backgroundρ(O_(3)-8h)estimated by Methods 1-4 were 1.6,-13.4,5.9,and-3.5µg·m^(-3),respectively.The average estimations derived from multiple methods showed that the regional backgroundρ(O_(3)-8h)in Henan Province from 2019 to 2021 concentrations were 82.0,79.0,and 79.7µg·m^(-3),accounting for 75.9%,76.4%,and 78.7%of the total regional O_(3)-8h,respectively.The regional background O_(3)-8h estimated by the four methods showed obvious seasonal changes,characterized by summer>spring>fall>winter.
作者
刘晓咏
颜俊
刘航
苏方成
姚丹
牛继强
闫军辉
LIU Xiao-yong;YAN Jun;LIU Hang;SU Fang-cheng;YAO Dan;NIU Ji-qiang;YAN Jun-hui(School of Geographic Sciences,Xinyang Normal University,Xinyang 464000,China;Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution,Xinyang Normal University,Xinyang 464000,China;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;College of Chemistry,Zhengzhou University,Zhengzhou 450001,China;School of Environment,Henan Normal University,Xinxiang 453007,China)
出处
《环境科学》
EI
CAS
CSCD
北大核心
2024年第8期4411-4418,共8页
Environmental Science
基金
国家自然科学基金项目(42371255,41771438)
河南省科技攻关计划项目(232102320130)
河南省高校科技创新团队支持计划项目(22IRTSTHN010)
信阳师范大学“南湖学者奖励计划”青年项目。
