北京大学学报自然科学版 ›› 2022, Vol. 58 ›› Issue (3): 565-574.DOI: 10.13209/j.0479-8023.2022.016

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成都市夏季臭氧污染的环流分型与来源分析

史文彬, 屈坤, 严宇, 邱培培, 王雪松, 董华斌   

  1. 环境模拟与污染控制国家重点联合实验室, 北京大学环境科学与工程学院, 北京 100871
  • 收稿日期:2021-04-29 修回日期:2021-05-21 出版日期:2022-05-20 发布日期:2022-05-20
  • 通讯作者: 王雪松, E-mail: xswang(at)pku.edu.cn
  • 基金资助:
    国家重点研发计划(2018YFC0213506, 2018YFC0213204)资助 

Circulation Classification and Source Analysis of Summer Ozone Pollution in Chengdu

SHI Wenbin, QU Kun, YAN Yu, QIU Peipei, WANG Xuesong, DONG Huabin   

  1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871
  • Received:2021-04-29 Revised:2021-05-21 Online:2022-05-20 Published:2022-05-20
  • Contact: WANG Xuesong, E-mail: xswang(at)pku.edu.cn

摘要:

为探究大尺度环流对成都市O3污染的影响, 基于四川盆地700 hPa位势高度场, 采用T-PCA方法, 将2015—2019年夏季(6—8月)各日的大气环流归纳为5类环流型, 并对不同环流型下的成都市O3污染特征与污染来源进行分析。5类环流型中, 东北高压型(NEH)和高压底部型(UNF)条件下, 四川盆地气温较高, 湿度和云量相对较低; 对比过去24小时的变温, UNF下四川盆地增温显著, NEH 下变化不明显, 另外三类环流型(即东南高压型、西北低压型和西北高压型)下则出现不同程度的降温。NEH和UNF下的气象条件更有利于四川盆地O3的光化学生成。研究时段内, NEH和UNF下成都市O3浓度水平和O3超标日比例明显高于另外三类环流型, 是夏季发生O3污染的主要环流型。成都市O3污染较重的月份具有较高的NEH和UNF环流型占比。通过对成都市夏季O3来源的模拟分析, 发现O3污染主要来自四川盆地内的污染源排放(占55.0%), 以成都本地贡献为主(31.6%), 其他重要贡献城市包括德阳(5.4%)、重庆(4.0%)、资阳(3.9%)和眉山(2.2%)。然而, 不同环流型下成都市的O3来源具有不同特点, NEH下成都平原内部污染传输影响较强, 德阳市O3贡献显著增加(占14.9%); UNF 下成都市O3污染呈现很强的局地性污染特征, 成都市排放的O3贡献占比接近一半(46.8%)。 

关键词: 成都市, 臭氧, 环流型, 源解析 

Abstract:

In order to explore the impact of large-scale circulations on O3 pollution in Chengdu, based on the 700 hPa geopotential height field in the Sichuan Basin (SCB) and using the T-PCA method, the atmospheric circulations in the summer of 2015–2019 (June–August) were classified into five circulation patterns, and the characteristics of O3 pollution and O3 sources in Chengdu under different circulation patterns were identified. Among the five types of circulation patterns, the northeast-high pressure (NEH) pattern and the under-high pressure field (UNF) pattern generally led to higher air temperature, and lower humidity and cloud cover in the SCB. Air temperature change compared to the previous days showed an obvious increasing trend in the SCB under the UNF pattern, kept stable under the NEH pattern, and indicated cooling effects with varying intensities under the other three circulation patterns (the southeast-high pressure pattern, the northwest-low pressure pattern and the northwest-high pressure pattern). The meteorological conditions under NEH and UNF were more conducive to the photochemical production of O3 in the SCB. During the study period, O3 concentrations and the percentages of over-standard days of O3 in Chengdu under NEH and UNF were significantly higher than those under the other three circulation patterns, and thus NEH and UNF were the main circulation patterns that were related to O3 pollution in summer. Months with more severe O3 pollution in Chengdu tended to have higher proportion of days under the NEH and UNF patterns. The simulation studies of O3 sources in Chengdu in summer suggested that O3 was mainly derived from the SCB (55.0%), with local contribution of Chengdu (31.6%), and other important contributing cities including Deyang (5.4%), Chongqing (4.0%), Ziyang (3.9%) and Meishan (2.2%). However, O3 sources in Chengdu under different circulation patterns showed different characteristics. Under the NEH pattern, O3 transport within the Chengdu Plain had notable impact on O3 pollution in Chengdu, with a significant increasing contribution from Deyang (14.9%). By contrast, under the UNF pattern, O3 pollution in Chengdu became more localized, with nearly half (46.8%) of O3 contributed by local emissions. 

Key words: Chengdu, ozone, circulation pattern, source analysis