首页 | 本学科首页   官方微博 | 高级检索  
     检索      

2019年元旦前后石家庄市重污染过程PM2.5污染特征及来源解析
引用本文:周静博,段菁春,王建国,杨鹏,刘焕武,李梅,靳伟.2019年元旦前后石家庄市重污染过程PM2.5污染特征及来源解析[J].环境科学,2020,41(1):39-49.
作者姓名:周静博  段菁春  王建国  杨鹏  刘焕武  李梅  靳伟
作者单位:河北省石家庄环境监测中心,石家庄 050022,中国环境科学研究院,北京 100012;国家大气污染防治攻关联合中心,北京 100012,河北省石家庄环境监测中心,石家庄 050022,石家庄市气象局,石家庄 050081,西安市环境监测站,西安 710119,暨南大学质谱仪器与大气环境研究所,广州 510632,河北省石家庄环境监测中心,石家庄 050022
基金项目:国家重点研发计划项目(2016YFC0208900);大气重污染成因与治理攻关项目(DQGG0303)
摘    要:2018年12月30日至2019年1月15日石家庄市发生了连续的灰霾天气,出现12个重污染天,首要污染物均为PM2.5.本文从污染演变、时空分布、组分分析、污染来源和气象因素等多方面展开分析探讨污染成因.结果表明,PM2.5主要成分为二次无机离子(65.4%),主要来源为燃煤(24.4%)和工业工艺源(23.7%).随污染加剧SO42-占比和二次无机源贡献均大幅增加.先后受来自偏南-东南和偏西-西南方向低空气团及特殊地形、静稳高湿、近地逆温等不利气象条件影响,燃煤、工业和机动车尾气等一次源产生的污染物在太行山前快速积累,气态污染物二次转化和颗粒物吸湿增长推高PM2.5,硫酸盐暴发式增长加剧污染发生.建议重污染应急响应期间在确保各项减排措施落实到位情况下,加强二次无机组分前体物SO2、NOx及NH3排放源的管控,并重点关注SO2排放源(散煤等),同时加强市区东北方向新乐、无极、深泽、晋州和行唐区县大气排放源管理,减少局地传输影响.

关 键 词:重污染  PM2.5  污染特征  成因  来源解析  石家庄市
收稿时间:2019/6/11 0:00:00
修稿时间:2019/7/23 0:00:00

Analysis of Pollution Characteristics and Sources of PM2.5 During Heavy Pollution in Shijiazhuang City Around New Year's Day 2019
ZHOU Jing-bo,DUAN Jing-chun,WANG Jian-guo,YANG Peng,LIU Huan-wu,LI Mei and JIN Wei.Analysis of Pollution Characteristics and Sources of PM2.5 During Heavy Pollution in Shijiazhuang City Around New Year''s Day 2019[J].Chinese Journal of Environmental Science,2020,41(1):39-49.
Authors:ZHOU Jing-bo  DUAN Jing-chun  WANG Jian-guo  YANG Peng  LIU Huan-wu  LI Mei and JIN Wei
Institution:Shijiazhuang Environmental Monitoring Station of Hebei Province, Shijiazhuang 050022, China,Chinese Research Academy of Environmental Sciences, Beijing 100012, China;National Joint Research Center for Tackling Key Problems in Air Pollution Control, Beijing 100012, China,Shijiazhuang Environmental Monitoring Station of Hebei Province, Shijiazhuang 050022, China,Shijiazhuang Meteorological Bureau, Shijiazhuang 050081, China,Xi''an Environmental Monitoring Station, Xi''an 710119, China,Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China and Shijiazhuang Environmental Monitoring Station of Hebei Province, Shijiazhuang 050022, China
Abstract:We report on successive haze weather that occurred in Shijiazhuang City, China, from December 30, 2018 to January 15, 2019. There were 12 days of heavy atmospheric pollution during this period, which primarily involved aerosol fine particulate matter (PM2.5). This study analyzes the causes of the pollution using component analysis and by assessing pollution evolution, spatial and temporal distributions of PM2.5, pollution sources, and meteorological factors. The results showed that PM2.5 was mainly composed of secondary inorganic ions (65.4%) that were mainly sourced from coal combustion (24.4%) and industrial sources (23.7%). The contributions of sulfate and secondary inorganic sources increased significantly with increasing pollution. Pollution was affected by unfavorable meteorological conditions (e.g., a low air mass) and by the particular local terrain, static stability, high humidity, and near-ground reverse temperatures from the south-southeast and west-southwest directions. Contaminants from primary sources including coal combustion, industry, and motor vehicle exhausts accumulated quickly in front of the Taihang Mountains. Secondary transformation of gaseous pollutants and increasing moisture absorption of particulate matter increased PM2.5 concentrations. Sulfate explosion also increased pollution. We recommend that as part of emergency responses to heavy pollution events, emissions reduction measures should be implemented to strengthen the control of SO2, NOx, and NH3 emission sources of secondary inorganic precursors, especially SO2 emission sources (i.e., coal etc.). We further propose a strengthen of the management of atmospheric emission sources in Xinle, Wuji, Shenze, Jinzhou, and Xingtang counties in the northeast of the city to reduce the impact of local transmission.
Keywords:heavy pollution  PM2  5  pollution characteristics  pollution cause  source resolution  Shijiazhuang City
本文献已被 万方数据 等数据库收录!
点击此处可从《环境科学》浏览原始摘要信息
点击此处可从《环境科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号