京津冀区域PM<sub>2.5</sub>及二次无机组分污染特征研究

摘要
图/表
参考文献(43)
相关文章 (15)

全文: PDF (719 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要

选取北京、石家庄和唐山作为京津冀区域典型城市，基于实地样品采集和组分分析结果，探讨PM_2.5组分中二次无机水溶性离子（SNA）浓度变化特征，并利用空气质量模型模拟结果分析重污染前后京津冀地区各类污染源大气污染物排放对PM_2.5和SNA质量浓度的贡献.结果显示：3个城市PM_2.5质量浓度整体呈现逐年下降的趋势，多数情况下SO₄^2-、NO₃^-和NH₄⁺浓度极大值同时出现在冬季，PM_2.5化学组分较为稳定.相对于常规时段，重污染期间SO₄^2-、NO₃^-和NH₄⁺质量浓度明显增加，重污染前一天SNA浓度占PM_2.5比值达到最高.重污染的形成是本地源排放和外来区域传输共同作用的结果，外来源对NO₃^-的贡献整体高于SO₄^2-和NH₄⁺.交通源、居民源和工业源对PM_2.5、SO₄^2-和NO₃^-浓度贡献最高，NH₄⁺主要来自居民源的排放.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	贾佳
	韩力慧
	程水源
	张晗宇
	吕喆

关键词 ：二次无机水溶性离子, PM_2.5, 重污染, CAMx

Abstract：

Beijing,Shijiazhuang and Tangshan were selected as the typical cities in the Beijing-Tianjin-Hebei region to investigate the seasonal variation characteristics of secondary water-soluble inorganic ions and compare the pollution characteristics and physicochemical property of the secondary water-soluble ions between heavy pollution period and other periods.Then CAMx-PSAT model was applied to quantitatively analyze the contribution on PM_2.5 and SNA concentration from pollution sources in BTH region during different seasons.Results showed that PM_2.5 concentration in these cities decreased year by year,and the maximum of SO₄^2-,NO₃^- and NH₄⁺ concentration mostly in winter at the same time,illustrating the related correlation of their concentrations.The mass concentrations of SO₄^2-,NO₃^- and NH₄⁺increased significantly during heavy pollution period compared with other periods.The largest concentration ratio of SNA appeared in 1~2 days before heavy pollution days.The formation of heavy pollution was the combined effects of local pollutant emission and external source region transport.The contribution of external sources to NO₃^- was higher than that of SO₄^2- and NH₄⁺.In addition,the concentration of PM_2.5,SO₄^2- and NO₃^- were mostly contributed from traffic sources,resident sources and industrial sources,and the resident sources were the most important contributor for NH₄⁺ concentration.

Key words： secondary water-soluble inorganic ions PM_2.5 heavy pollution CAMx

收稿日期: 2017-08-29

X513

基金资助:

国家自然科学基金资助项目（91544232，51638001）

通讯作者: 程水源,教授,bjutpaper@gmail.com E-mail: bjutpaper@gmail.com

作者简介: 贾佳(1990-),男,河南许昌人,北京工业大学环境与能源工程学院博士研究生,主要从事环境规划管理与污染防治方面的研究.发表论文8篇.

引用本文:

贾佳, 韩力慧, 程水源, 张晗宇, 吕喆. 京津冀区域PM_2.5及二次无机组分污染特征研究[J]. 中国环境科学, 2018, 38(3): 801-811. JIA-Jia, HAN Li-hui, CHENG Shui-yuan, ZHANG Han-yu, LV Zhe. Pollution characteristic of PM_2.5 and secondary inorganic ions in Beijing-Tianjin-Hebei region. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(3): 801-811.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2018/V38/I3/801

[1]	徐虹,肖致美,孔君,等.天津市冬季典型大气重污染过程特征[J]. 中国环境科学, 2017,37(4):1239-1246.
[2]	Liu B, Yang J, Yuan J, et al. Source apportionment of atmospheric pollutants based on the online data by using PMF and ME2 models at a megacity, China[J]. Atmospheric Research, 2017,185:22-31.
[3]	贺克斌.大气颗粒物与区域复合污染[M]. 科学出版社, 2011:234-236.
[4]	Tang X, Chen X, Tian Y. Chemical composition and source apportionment of PM2.5-A case study from one year continuous sampling in the Chang-Zhu-Tan urban agglomeration[J]. Atmospheric Pollution Research, 2017. doi:10.1016/j.apr. 2017.02.004.
[5]	马莹,吴兑,刘建.珠三角春节期间PM2.5及水溶性离子成分的变化——以2012年为例[J]. 中国环境科学, 2016,36(10):2890-2895.
[6]	张棕巍,胡恭任,于瑞莲,等.厦门市大气PM2.5中水溶性离子污染特征及来源解析[J]. 中国环境科学, 2016,36(7):1947-1954.
[7]	姚青,刘子锐,韩素芹,等.天津冬季一次重污染过程水溶性离子的粒径分布特征[J]. 环境科学, 2017,38(12):1-13.
[8]	Chow J C, Watson J G. Enhanced ion chromatographic speciation of water-soluble PM2.5 to improve aerosol source apportionment[J]. Aerosol Science & Engineering, 2017,1(01):7-24.
[9]	李令军,王占山,张大伟,等.2013~2014年北京大气重污染特征研究[J]. 中国环境科学, 2016,36(1):27-35.
[10]	吴丹,蔺少龙,杨焕强,等.杭州市PM2.5中水溶性离子的污染特征及其消光贡献[J]. 环境科学, 2017,38(7):1-14.
[11]	王晓琦,周颖,程水源,等.典型城市冬季PM2.5水溶性离子污染特征与传输规律研究[J]. 中国环境科学, 2016,36(8):2289-2296.
[12]	Huang R J, Zhang Y, Bozzetti C, et al. High secondary aerosol contribution to particulate pollution during haze events in China.[J]. Nature, 2014,514(7521):218.
[13]	王占山,李云婷,孙峰,等.2014年10月上旬北京市大气重污染分析[J]. 中国环境科学, 2015,35(6):1654-1663.
[14]	卫菲菲,刘昊,陆晓波,等.南京市大气细颗粒物二次组分的时空变化特征[J]. 中国环境科学, 2017,37(8):2866-2876.
[15]	刀谞,张霖琳,王超,等.京津冀冬季与夏季PM2.5/PM10及其水溶性离子组分区域性污染特征分析[J]. 环境化学, 2015, 34(1):60-69.
[16]	Wang G, Cheng S, Lang J, et al. Characteristics of PM2.5 and assessing effects of emission-reduction measures in the heavy polluted city of Shijiazhuang, before, during, and after the Ceremonial Parade 2015[J]. Aerosol and Air Quality Research, 2017,17(2):499-512.
[17]	Wang G, Cheng S, Wei W. Chemical characteristics of fine particles emitted from different Chinese cooking styles[J]. Aerosol and Air Quality Research, 2015,15(6):2357-2366.
[18]	温维,韩力慧,代进,等.唐山夏季PM2.5污染特征及来源解析[J]. 北京工业大学学报, 2014,40(5):751-758.
[19]	Cheng S, Lang J, Zhou Y, et al. A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM2.5 pollution in Beijing, China[J]. Atmospheric Environment, 2013,79(7):308-316.
[20]	王志娟,韩力慧,陈旭锋,等.北京典型污染过程PM2.5的特性和来源[J]. 安全与环境学报, 2012,12(5):122-126.
[21]	Li L, Cheng S, Li J, et al. Application of MM5-CAMx-PSAT modeling approach for investigating emission source contribution to atmospheric SO2 pollution in Tangshan, Northern China[J]. Mathematical Problems in Engineering, 2013,2013(4):707-724.
[22]	Wang S, Zhao M, Xing J, et al. Quantifying the air pollutants emission reduction during the 2008Olympic games in Beijing[J]. Environmental Science & Technology, 2010,44(7):2490.
[23]	李珊珊,程念亮,徐峻,等.2014年京津冀地区PM2.5浓度时空分布及来源模拟[J]. 中国环境科学, 2015,35(10):2908-2916.
[24]	薛文博,付飞,王金南,等.中国PM2.5跨区域传输特征数值模拟研究[J]. 中国环境科学, 2014,34(6):1361-1368.
[25]	中国环境科学研究院.环境空气质量标准[M]. 中国环境科学出版社, 2012:71.
[26]	薛文博,王金南,杨金田,等.《大气污染防治行动计划》实施环境效果模拟[J]. 中国环境管理, 2015,7(2):25-30.
[27]	薛亦峰,周震,聂滕,等.2015年12月北京市空气重污染过程分析及污染源排放变化[J]. 环境科学, 2016,37(5):1593-1601.
[28]	王琴,张大伟,刘保献,等.基于PMF模型的北京市PM2.5来源的时空分布特征[J]. 中国环境科学, 2015,35(10):2917-2924.
[29]	Yang X, Cheng S, Li J, et al. Characterization of chemical composition in PM2.5 in Beijing before, during, and after a Large-Scale International Event[J]. Aerosol & Air Quality Research, 2017,17. doi:10.4209/aaqr.2016.07.0321.
[30]	李友平,周洪,张智胜,等.成都市城区PM2.5中二次水溶性无机离子污染特征[J]. 环境科学, 2014,35(12):4439-4445.
[31]	程麟钧,王帅,宫正宇,等.京津冀区域臭氧污染趋势及时空分布特征[J]. 中国环境监测, 2017,33(1):14-21.
[32]	赵斌.细颗粒物化学组成及其对前体物排放响应的数值模拟研究[D]. 北京:清华大学, 2015.
[33]	Sulong N A, Latif M T, Khan M F, et al. Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia[J]. Science of the Total Environment, 2017,601-602:556-570.
[34]	刘玥晨,吴志军,胡敏.二次有机气溶胶相态的研究现状与展望[J]. 中国环境科学, 2017,37(5):1637-1645.
[35]	Solazzo E, Bianconi R, Pirovano G, et al. Operational model evaluation for particulate matter in Europe and North America in the context of AQMEⅡ[J]. Atmospheric Environment, 2012, 53(6):75-92.
[36]	Liu X G, Li J, Qu Y, et al. Formation and evolution mechanism of regional haze:a case study in the megacity Beijing, China[J]. Atmospheric Chemistry & Physics, 2013,13(9):4501-4514.
[37]	缪育聪,郑亦佳,王姝,等.京津冀地区霾成因机制研究进展与展望[J]. 气候与环境研究, 2015,20(3):356-368.
[38]	杨洋,唐贵谦,吉东生,等.夏季局地环流对京津冀区域大气污染影响[J]. 环境工程学报, 2015,9(5):2359-2367.
[39]	杨孝文,周颖,程水源,等.北京冬季一次重污染过程的污染特征及成因分析[J]. 中国环境科学, 2016,36(3):679-686.
[40]	丁萌萌,周健楠,刘保献,等.2015年北京城区大气PM2.5中NH4+、NO3-、SO42-及前体气体的污染特征[J]. 环境科学, 2017, 38(4):1307-1316.
[41]	郎建垒.基于大气污染物总量控制的区域污染源分级与优化减排技术研究[D]. 北京:北京工业大学, 2013.
[42]	蒋轶伦.中国城市典型大气污染物的来源、形成机制及其对大气质量和近海生产力的影响[D]. 上海:复旦大学, 2011.
[43]	薛文博,付飞,王金南,等. 中国PM2.5跨区域传输特征数值模拟研究[J]. 中国环境科学, 2014,34(6):1361-1368.