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Formation mechanism of a severe air pollution event: A case study in the Sichuan Basin, Southwest China

机译:严重空气污染事件的形成机制 - 以四川盆地,中国西南四川盆地为例

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摘要

The formation mechanism of air pollution events in the Sichuan Basin (SB), which is the fourth most heavily polluted area in China, has not been fully revealed. This study investigated the formation mechanism of a severe air pollution event over the SB using synoptic approaches and model simulations. The results can be summarized as follows: (1) Heavy air pollution in the SB was characterized by low visibility, low atmospheric boundary layer (ABL) height, high temperature, high relative humidity, strong temperature inversion layer, subsidence in the troposphere, high water vapor content between 500 and 900 hPa, southerly winds in the low troposphere, and surface winds with low speed and irregular direction. (2) Air quality in the SB was closely related to the weather system at 700 hPa over the basin. When the 700 hPa weather system affecting the SB was a high-pressure system, the subsidence and stable atmospheric stratification increased the air pollutant concentrations near the ground. When the 700 hPa weather system affecting the SB was a low-pressure system and the basin was in front of this low-pressure system, southwesterly warm and moist airflow and adiabatic subsidence warming formed the thick temperature inversion layer over the basin. As a result, the temperature inversion layer trapped air pollutants in the basin and induced the heavy air pollution event. When the 700 hPa weather system over the SB was a low-pressure system and the basin was behind the low-pressure system, the dry and cold airflow from the north invaded southward to the basin and broke the temperature inversion layer. Consequently, air pollutants dispersed vertically, resulting in decreased concentrations near the ground. (3) Air pollutants from December 17, 2017 to January 4, 2018 were mainly from local emissions. (4) The WRF-Chem model not only reproduced the variations in PM2.5 concentrations, the ABL height, and the height-time cross-sections of temperature, water vapor content, and wind over Chengdu during the air pollution event, but also revealed the formation mechanism of this heavy air pollution event. The results of this study reveal the formation mechanism of winter heavy air pollution events over the SB and help develop effective regional air quality management strategies to reduce the likelihood of local air pollution events and minimize the adverse impacts of air pollution.
机译:四川盆地(SB)的空气污染事件的形成机制,这是中国第四次污染的第四区,尚未完全揭示。本研究研究了使用揭示方法和模型模拟对SB进行严重空气污染事件的形成机制。结果可以概括如下:(1)Sb中的重空气污染的特点是低可见性,低大气边界层(ABL)高度,高温,高相对湿度,强烈的温度转换层,对流层沉降,高500至900 HPA的水蒸汽含量,低层横向风,速度低,速度低,方向低。 (2)SB中的空气质量与盆地700 HPA的天气系统密切相关。当影响SB的700 HPA天气系统是高压系统时,沉降和稳定的大气分层增加了地面附近的空气污染物浓度。当影响SB的700 HPA天气系统是低压系统时,盆地在该低压系统前面,令人热情和潮湿的气流和绝热沉降变暖在盆地上形成厚的温度反转层。结果,温度反转层捕获了盆中的空气污染物并诱导了重的空气污染事件。当SB的700 HPA天气系统是低压系统时,盆地后面是低压系统,从北部朝南侵入盆地的干燥和冷气流并打破了温度转换层。因此,垂直分散的空气污染物,导致地面附近的浓度降低。 (3)2017年12月17日至2018年1月4日的空气污染物主要来自当地排放量。 (4)WRF-Chem模型不仅在空气污染事件期间再现了温度,水蒸气含量和高度的温度,水蒸气含量和风力横截口的变化,而且揭示了这种重空气污染事件的形成机制。本研究的结果揭示了冬季重空气污染事件的形成机制,并有助于开发有效的区域空气质量管理策略,以降低当地空气污染事件的可能性,最大限度地减少空气污染的不利影响。

著录项

  • 来源
    《Atmospheric environment》 |2021年第2期|118135.1-118135.19|共19页
  • 作者

    Hu Yuling; Wang Shigong;

  • 作者单位

    Chinese Acad Sci Northwest Inst Ecoenvironm & Resources State Key Lab Cryospher Sci Lanzhou 730000 Peoples R China;

    Chengdu Univ Informat Technol Coll Atmospher Sci Plateau Atmosphere & Environm Key Lab Sichuan Pro Chengdu 610225 Peoples R China|Lanzhou Univ Coll Atmospher Sci Key Lab Arid Climate Change & Reducing Disaster G Lanzhou 730000 Peoples R China|Chinese Acad Sci Zunyi Academician Ctr Zunyi 563000 Guizhou Peoples R China|Chinese Acad Engn Zunyi Zunyi 563000 Guizhou Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; Meteorological condition; WRF-Chem; Sichuan Basin; HYSPLIT model;

    机译:空气污染;气象状况;WRF-CHEM;四川盆地;HYSPLIT模型;

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