摘要
为研究上海某石化工业区臭氧来源特征,采用在线监测系统对该工业区O_(3)及其前体物和气象参数展开了为期3个月(2020年6~8月)的同步连续观测.采用TCEQ(Texas Commission on Environmental Quality)区域背景臭氧估算法和主成分分析两种方法研究工业区区域背景和本地生成O_(3)浓度贡献,并将两种方法进行对比分析.结果表明:(1)观测期间园区主导风向为东南风和东风,平均温度为27.12℃.ρ(VOCs-36)日均值为32.05~240.51μg·m^(-3),烷烃浓度占比最大;ρ(NOx)日均值为10.15~47.51μg·m^(-3);ρ(O_(3))为31.81~144.43μg·m^(-3).(2)TCEQ法得出的区域背景O_(3)浓度[ρR(O_(3))]为32.63~191.13μg·m^(-3),本地生成O_(3)浓度[ρL(O_(3))]为16.08~134.25μg·m^(-3),区域背景占比ω(TCEQ)为32.6%~87.7%.主成分分析计算得出的区域背景[ρPCA-R(O_(3))]为66.38~219.83μg·m^(-3);(3)TCEQ法计算得出的本地生成O_(3)浓度变化基本能够与该园区内臭氧生成潜势的变化对应,两种方法具有良好的吻合效果,经验证结果具有可靠性;(4)剔除由于站点浓度异常情况带来的计算误差,观测期间区域背景O_(3)占比基本处于75%~95%范围内.综上,园区内O_(3)浓度组成以区域输送为主,应重点关注工业区周边城市的O_(3)污染治理,落实长三角区域联防联控措施.
To study the characteristics of ozone sources in a petrochemical industrial park in Shanghai,O_(3)and its precursors were synchronously and continuously measured for 3 months(June-August 2020)alongside meteorological parameters using an online monitoring system.The Texas Commission on Environmental Quality(TCEQ)method and principal component analysis(PCA)were used to study the contribution of regional background and local O_(3)concentrations in the industrial zone,the results of which were compared.The results indicated that:(1)During the observation period,the dominant wind directions in the park were southeast and east,and the average temperature was27.12℃.The daily averageρ(VOCs-36),ρ(NOx),andρ(O_(3))was 32.05-240.51,10.15-47.51,and 31.81-144.43μg·m^(-3),respectively.Alkanes are the most abundant of 36 VOCs;(1)The regional background concentrations based on the TCEQ method ranged from 32.63 to 191.13μg·m^(-3),and the local concentrations rang{ed from 16.08 to 134.25μg·m^(-3).The percentage contribution of the regional background ranged from 32.6%to 87.1%.The PC A analysis showed that the regional background concentrations ranged from 66.3 to 219.83μg·m^(-3);(3)The variations in local O_(3)concentrations based on the TCEQ analysis broadly correspond to the variations in ozone formation potential in the park.The two analysis methods were consistent,verifying that the results are reliable;and(4)After eliminating the calculation error caused by the abnormal concentrations recorded at some stations,the proportion of background O_(3)in the region was generally within the range 75%-95%during the observation period.Overall,regional transport was the main source of O_(3)in the industrial park,and O_(3)pollution in the surrounding cities should be the focus of pollution control alongside joint prevention and control measures in the Yangtze River Delta region.
作者
黄晴
黄银芝
张珊
金丹
高松
修光利
HUANG Qing;HUANG Yin-zhi;ZHANG Shan;JIN Dan;GAO Song;XIU Guang-li(Shanghai Environmental Protection Key Laboratory on Environmental Standard and Risk Management of Chemical Pollutants,School of Resources and Environmental Engineering,East China University of Science and Technology,Shanghai 200237,China;State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process,Shanghai 200237,China;Shanghai Environmental Monitoring Center,Shanghai 200235,China)
出处
《环境科学》
EI
CAS
CSCD
北大核心
2021年第10期4621-4631,共11页
Environmental Science
基金
上海市科技创新行动计划项目(19DZ1205007)。
关键词
工业区
O3来源
主成分分析(PCA)
区域背景
本地生成
industrial area
O_(3)source
principal component analysis(PCA)
regional background
locally generated
