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2022年暖季宁波市臭氧区域特征及其背景浓度估算
Regional Characteristics and Background Concentration Estimation of Ozone in Ningbo City During the Warm Season of 2022
投稿时间:2023-04-11  修订日期:2023-06-22
DOI:10.19316/j.issn.1002-6002.2024.05.06
中文关键词:  臭氧  主成分分析  TCEQ  区域背景浓度  本地生成浓度  相关性分析
英文关键词:ozone  principal component analysis (PCA)  TCEQ  regional background concentration  locally generated concentration  correlation analysis
基金项目:宁波市社会公益研究一般项目(2023S195)
作者单位
冀建树 浙江省宁波生态环境监测中心, 浙江 宁波 315000 
俞杰 浙江静远环境科技有限公司, 浙江 宁波 315000 
许丹丹 浙江省宁波生态环境监测中心, 浙江 宁波 315000 
汪伟峰 浙江省宁波生态环境监测中心, 浙江 宁波 315000 
宋静俏 浙江省宁波生态环境监测中心, 浙江 宁波 315000 
何佳宝 浙江省宁波生态环境监测中心, 浙江 宁波 315000 
周军* 浙江省宁波生态环境监测中心, 浙江 宁波 315000 
通讯作者:周军*  浙江省宁波生态环境监测中心, 浙江 宁波 315000  
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中文摘要:
      为研究2022年暖季(4—10月)宁波市大气臭氧区域污染特征,对浙江省11个地市中53个国控站点和宁波市20个城市评价站点的臭氧监测数据进行主成分分析(PCA),并结合TCEQ法对宁波市臭氧背景浓度进行估算。结果表明:浙江省可解析出4个主成分,其中第一主成分方差贡献为65.6%,解释为臭氧区域背景浓度;第二、第三、第四主成分方差贡献分别为14.2%、7.5%和2.6%,解释为区域内传输、局地环流、本地生成等对臭氧浓度的影响。宁波市可解析出2个主成分,其中第一主成分方差贡献为83.0%,解释为宁波市城市臭氧浓度;第二主成分方差贡献为7.0%,解释为海陆风对臭氧浓度的影响。由TCEQ法得到宁波市臭氧区域背景质量浓度为87 μg/m3,同比2021年上升9 μg/m3,夏季(7—8月)较高的区域背景浓度和较强的本地光化学生成能力导致臭氧质量浓度同比上升35 μg/m3,是造成2022年臭氧浓度偏高的主要原因。2种方法得到的臭氧背景浓度具有较好的相关性,相关系数为0.88,PCA法的结果略高于TCEQ法,且2种方法都表明,较高的区域背景浓度和较强的本地生成能力共同导致2022年臭氧浓度偏高。
英文摘要:
      To study the regional characteristics of ozone in Ningbo during the warm season of 2022 (April-October),principal component analysis (PCA) was conducted on the basis of ozone monitoring data in 11 cities of Zhejiang Province,including 53 National Control Stations and 20 Ningbo City Evaluation Stations.The background ozone concentration of Ningbo was estimated by TCEQ method.The results of PCA identified four principal components in Zhejiang Province.The variance contribution of PC1 was 65.6%,which was interpreted as the regional background concentration of ozone; the variance contribution of PC2,PC3 and PC4 was 14.2%,7.5% and 2.6% respectively,which was interpreted as the influence of factors such as intraregional transport,local circulation and local photochemical generation on ozone concentration.Two principal components could be identified in Ningbo City.The variance contribution of PC1 was 83.0%,which could be interpreted as the urban concentration of ozone in Ningbo City,and the variance contribution of PC2 was 7.0%,which could be interpreted as the influence of land-sea breeze on ozone concentration.According to the TCEQ method,the regional background concentration of ozone in Ningbo was 87 μg/m3,which was 9 μg/m3 higher than that in 2021.In summer (July-August),the higher regional background concentration and higher concentration produced by local photochemical resulted in a rise of ozone concentration by 35 μg/m3,which was the main reason for the high ozone concentration in 2022.The background concentrations of ozone obtained by the two methods had a strong correlation,the correlation coefficient was 0.88,and the results of PCA method were slightly higher than that of TCEQ method,meanwhile,analysis results from these two methods demonstrated that both higher regional background concentrations and stronger locally generated ozone concentration contributed to the 2022 high ozone concentration events.
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