Joint Occurrence of Heavy PM2.5 Pollution Episodes and Persistent Foggy Days in Central East China

被引:2
|
作者
Yu, Caixia [1 ,2 ,3 ,4 ]
Yang, Yuanjian [5 ]
Liu, Dong [2 ]
机构
[1] Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei, Peoples R China
[2] Grad Sch USTC, Sci Isl Branch, Hefei, Peoples R China
[3] Anhui Inst Meteorol Sci, Anhui Prov Key Lab Atmospher Sci & Satellite Remo, Hefei, Peoples R China
[4] China Meteorol Adm Huaihe River Basin, Shouxian Natl Climate Observ, Typ Farmland Ecometeorol Field Sci Test Base, Shouxian, Peoples R China
[5] Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing, Peoples R China
关键词
PM25; pollution episodes; fog process; wet deposition; subsidence motions; rebound; YANGTZE-RIVER DELTA; PARTICULATE AIR-POLLUTION; METEOROLOGICAL CONDITIONS; POTENTIAL IMPACTS; HAZE; PATTERNS; QUALITY; WINTERTIME; EMISSION; MATTER;
D O I
10.3389/fenvs.2021.821648
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although many severe pollution events in Central and East China have been analyzed in recent years, the heavy PM2.5 pollution episode happened on persistent foggy days from January 13 to 18, 2018 was unique, characterized by explosive increase and sharp decrease in PM2.5 (particles with kinetic equivalent diameter less than or equal to 2.5 microns) concentration. Based on hourly data of ground level meteorological parameters, PM2.5 data and CALIPSO-based (the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) aerosol data, combined with ECMWF (European Centre for Medium-Range Weather Forecasts) reanalysis data and radiosonde temperature profile, a comprehensive analysis was conducted to reveal the meteorological reasons for the evolution of the episode at horizontal and vertical scales. The PM2.5 concentration experienced four stages: a slow-increase phase, rapid-increase phase, rapid-decrease phase, and rebound phase. Results show that because Central and East China (CEC) were located at the back of a high-pressure system, humid southerly winds and near surface inversion (NSI) were responsible for the slow accumulation of pollutants. The rapid-increase phase was attributed to pollution transport at both ground level and in the lower troposphere because of weak cold air invasion. The significant subsidence at 500 hPa and 700 hPa intensified the NSI and led to dense fog. In that case, corresponding to the supersaturated atmosphere, the particles entered the fog droplets and were scavenged partly by deposition at night and were resuspended on the next day when the atmosphere was unsaturated. Our findings provide convincing evidence that surface PM2.5 rapid-decrease phase and the rebound phase were closely associated with dense fog process.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Inhalation bioaccessibility of polycyclic aromatic hydrocarbons in heavy PM2.5 pollution days: Implications for public health risk assessment in northern China
    Gao, Peng
    Hu, Jian
    Song, Jie
    Chen, Xin
    Ou, Cuiyun
    Wang, Hao
    Sha, Chenyuan
    Hang, Jian
    Xing, Baoshan
    ENVIRONMENTAL POLLUTION, 2019, 255
  • [22] Chemical characteristics of atmospheric PM2.5 loads during air pollution episodes in Giza, Egypt
    Hassan, Salwa K.
    Khoder, Mamdouh I.
    ATMOSPHERIC ENVIRONMENT, 2017, 150 : 346 - 355
  • [23] Aggravated chemical production of aerosols by regional transport and basin terrain in a heavy PM2.5 pollution episode over central China
    Hu, Weiyang
    Zhao, Yu
    Zhao, Tianliang
    Bai, Yongqing
    Zhao, Chun
    Kong, Shaofei
    Chen, Lei
    Du, Qiuyan
    Zheng, Huang
    Lu, Wen
    Liu, Weichen
    Sun, Xiaoyun
    ATMOSPHERIC ENVIRONMENT, 2023, 294
  • [24] Long Range Transport of Southeast Asian PM2.5 Pollution to Northern Thailand during High Biomass Burning Episodes
    Amnuaylojaroen, Teerachai
    Inkom, Jirarat
    Janta, Radshadaporn
    Surapipith, Vanisa
    SUSTAINABILITY, 2020, 12 (23) : 1 - 14
  • [25] Winter-autumn air pollution control plan in North China modified the PM2.5 compositions and sources in Central China
    Jiang, Shuning
    Kong, Shaofei
    Zheng, Huang
    Wu, Jian
    Yao, Liquan
    Chen, Nan
    Zhu, Bo
    Zhao, Tianliang
    Bai, Yongqing
    Liu, Dantong
    Qi, Shihua
    ATMOSPHERIC ENVIRONMENT, 2023, 306
  • [26] Analysis of PM2.5 pollution episodes in Beijing from 2014 to 2017: Classification, interannual variations and associations with meteorological features
    Sun, Jin
    Gong, Jianhua
    Zhou, Jieping
    Liu, Jiantao
    Liang, Jianming
    ATMOSPHERIC ENVIRONMENT, 2019, 213 : 384 - 394
  • [27] Influence of Multi-Scale Meteorological Processes on PM2.5 Pollution in Wuhan, Central China
    Miao, Yucong
    Zhang, Xinxuan
    Che, Huizheng
    Liu, Shuhua
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [28] Investigating the Transport Mechanism of PM2.5 Pollution during January 2014 in Wuhan, Central China
    Lu, Miaomiao
    Tang, Xiao
    Wang, Zifa
    Wu, Lin
    Chen, Xueshun
    Liang, Shengwen
    Zhou, Hui
    Wu, Huangjian
    Hu, Ke
    Shen, Longjiao
    Yu, Jia
    Zhu, Jiang
    ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 36 (11) : 1217 - 1234
  • [29] A framework for delineating the regional boundaries of PM2.5 pollution: A case study of China
    Liu, Jianzheng
    Li, Weifeng
    Wu, Jianzheng
    ENVIRONMENTAL POLLUTION, 2018, 235 : 642 - 651
  • [30] Source appointment of PM2.5 in Qingdao Port, East of China
    Bie, Shujun
    Yang, Lingxiao
    Zhang, Yan
    Huang, Qi
    Li, Jingshu
    Zhao, Tong
    Zhang, Xiongfei
    Wang, Pengcheng
    Wang, Wenxing
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 755