| 基于边界观测的长三角某工业区O3来源特征 |
| 摘要点击 2337 全文点击 771 投稿时间：2021-01-22 修订日期：2021-03-18 |
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| 中文关键词 工业区 O3来源 主成分分析(PCA) 区域背景 本地生成 |
| 英文关键词 industrial area O3 source principal component analysis(PCA) regional background locally generated |
| 作者 | 单位 | E-mail | | 黄晴 | 华东理工大学资源与环境工程学院, 上海市环境保护化学污染物环境标准与风险管理重点实验室, 上海 200237
国家环境保护化工过程环境风险评价与控制重点实验室, 上海 200237 | y30191191@mail.ecust.edu.cn | | 黄银芝 | 华东理工大学资源与环境工程学院, 上海市环境保护化学污染物环境标准与风险管理重点实验室, 上海 200237
国家环境保护化工过程环境风险评价与控制重点实验室, 上海 200237 | | | 张珊 | 上海市环境监测中心, 上海 200235 | | | 金丹 | 上海市环境监测中心, 上海 200235 | | | 高松 | 上海市环境监测中心, 上海 200235 | | | 修光利 | 华东理工大学资源与环境工程学院, 上海市环境保护化学污染物环境标准与风险管理重点实验室, 上海 200237
国家环境保护化工过程环境风险评价与控制重点实验室, 上海 200237 | xiugl@ecust.edu.cn |
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| 中文摘要 |
| 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O3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O3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（O3）为31.81~144.43μg·m-3.②TCEQ法得出的区域背景O3浓度[ρR（O3）]为32.63~191.13μg·m-3，本地生成O3浓度[ρL（O3）]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（O3）]为66.38~219.83μg·m-3；③TCEQ法计算得出的本地生成O3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O3占比基本处于75%~95%范围内.综上，园区内O3浓度组成以区域输送为主，应重点关注工业区周边城市的O3污染治理，落实长三角区域联防联控措施. |
| 英文摘要 |
| To study the characteristics of ozone sources in a petrochemical industrial park in Shanghai, O3 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 O3 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 was 27.12℃. The daily average ρ(VOCs-36), ρ(NOx), and ρ(O3) 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; ② The regional background concentrations based on the TCEQ method ranged from 32.63 to 191.13μg·m-3, and the local concentrations ranged from 16.08 to 134.25 μg·m-3. The percentage contribution of the regional background ranged from 32.6% to 87.7%. The PCA analysis showed that the regional background concentrations ranged from 66.3 to 219.83μg·m-3; ③ The variations in local O3 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 O3 in the region was generally within the range 75%-95% during the observation period. Overall, regional transport was the main source of O3 in the industrial park, and O3 pollution in the surrounding cities should be the focus of pollution control alongside joint prevention and control measures in the Yangtze River Delta region. |
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