Pollution status and source apportionment ofatmospheric particulates (PM2.5) in Shenzhen city
YAN Zhou-ning1, MOU Jing-feng1, YAN Yan1, YU Shu-yuan2, LI Bin3
1. Nanshan District Center for Disease Control and Prevention, Shenzhen, Guangdong 518054, China; 2. Shenzhen Municipal Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China; 3. Longgang District Center for Disease Control and Prevention, Shenzhen, Guangdong 518172, ChinaCorresponding
Abstract:Objective To explore the pollution status and source apportionment of PM2.5 in Shenzhen city, and to provide a basis for air pollution abatement and health protection. Methods PM2.5 samples of two monitoring sites in Nanshan district and Longgang district, Shenzhen city were collected on 10th-16th of every month from January to December 2017. PM2.5 concentration and the content of polycyclic aromatic hydrocarbons (PAHs), heavy metals and water-soluble ions in PM2.5 were measured, and the data were processed by factor analysis for the purpose of PM2.5 source identification. Results The median concentration of PM2.5 in Nanshan district and Longgang district was respectively 0.041 mg/m3 and 0.039 mg/m3 (Z=-0141, P=0.888), and the over-standard rates were respectively 8.333% and 7.143% (χ2=5.063, P=0.018 ). Source apportionment results derived from factor analysis showed that PAHs pollution sources were automobile exhaust (the contribution rates of Nanshan district and Longgang district were respectively 49.986% and 54.226%), coal combustion (the contribution rates of Nanshan district and Longgang district were respectively 16.936% and 19.669%) and industrial raw materials (the contribution rates of Nanshan district and Longgang district were respectively 9.270% and 8.353%). Water-soluble ion pollution sources were automobile exhaust, industrial pollution (the contribution rate was 58.694%) and coal combustion (the contribution rate was 27.751%). Heavy metal pollution sources were automobile exhaust, industrial metallurgy (the contribution rates of Nanshan district and Longgang district were respectively 55.993% and 62.004%) and construction dust (the contribution rates of Nanshan district and Longgang district were respectively 21.875% and 11.051%). Conclusions PM2.5 pollution in Shenzhen city in 2017 was relatively light, and it was primarily derived from combined sources from automobile exhaust, industrial dusts and coal combustion.
[1] 聂敏,任杰,杨光,等.PM2.5大气污染对自由空间量子通信性能的影响[J].物理学报,2015,64(15):150301. [2] Suades-González E,Gascon M,Guxens M,et al. Air pollution and neuropsychological development:a review of the latest evidence[J].Endocrinology,2015,156(10):3473-3482. [3] Cohen AJ,Brauer M,Burnett R,et al .Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution:an analysis of data from the Global Burden of Diseases Study 2015[J].Lancet, 2017,389(10082):1907-1918. [4] Wang X, Chow JC, Kohl SD, et al.Characterization of PM2.5 and PM10 fugitive dust source profiles in the Athabasca Oil Sands Region[J]. J Air Waste Manage, 2015,65(12):1421-1433. [5] Watson JG, Chow JC, Lowenthal DH, et al.PM2.5 source apportionment with organic markers in the Southeastern Aerosol Research and Characterization (SEARCH) study[J]. J Air Waste Manage, 2015,65(9):1104-1118. [6] 杨财平, 明小燕, 杨小波.宜昌城区霾与非霾天气下PM2.5中12种元素污染特征比较[J].实用预防医学,2019,26(2):180-182. [7] 赵金镯,高知义,宋伟民.上海市区大气细颗粒物不同成分对血管内皮细胞的氧化损伤[J].环境与职业医学,2009,26(4):353-357,361. [8] 高佳琦.深圳市大学城大气颗粒物(PM2.5)污染特征分析及源解析[D].哈尔滨:哈尔滨工业大学,2010. [9] 杜金花,黄晓锋,何凌燕,等.深圳市大气PM2.5中金属元素的污染和来源特征[C]//中国环境科学学会.PM2.5监测及防治技术高级研讨会论文集.北京:中国环境科学出版社,2012:154-161. [10] 李响.深圳PM2.5的化学组成特征及来源解析[D].北京:北京大学,2011. [11] 涂宏.南昌市城区PM2.5的污染特征及其与儿童健康关系的研究[D].南昌:南昌大学,2016. [12] 中华人民共和国水利部.SL 394.2-2007 铅镉钒磷等34种元素的测定-电感耦合等离子体质谱法[S].北京:中国标准出版社,2007:7-15. [13] 深圳市生态环境局.2017年深圳市环境状况公报[R/OL].[2019-02-12].http://www.szhec.gov.cn/xxgk/tjsj/ndhjzkgb/. [14] 环境保护部,国家质量监督检验检疫局.GB 3095-2012 环境空气质量标准[S].北京:中国标准出版社,2012:3. [15] 赵晨曦,王云琦,王玉杰,等.北京地区冬春PM2.5和PM10污染水平时空分布及其与气象条件的关系[J].环境科学,2014,35(2):418-427. [16] 杨敏娟,沈惠平,黄云彪,等.上海市浦东新区PM2.5污染水平及其主要成分的分布特征[J].环境与职业医学,2016,33(11):1026-1030. [17] 黄亚林,刘超,曾克峰,等.2013-2014年武汉市PM2.5的时空分布特征及其与气象条件的关系[J].生态环境学报,2015,24(8):1330-1335. [18] 陈瑞,李拥军,杨海霞.2015年兰州市大气细颗粒物成分监测[J].环境与健康杂志,2017,34(3):231-233. [19] 李玉武,刘咸德,李冰,等.绝对主因子分析法解析北京大气颗粒物中铅来源[J].环境科学,2008,29(12):3310-3318. [20] Blifford IH,Meeker GO .A factor analysis model of large scale pollution[J].Atmos Environ,1967,1(1):147-158. [21] 胡伟,魏复盛.中国4城市空气颗粒物元素的因子分析[J].中国环境监测,2003,19(3):39-41. [22] 黄晓锋,云慧,宫照恒,等.深圳大气PM2.5来源解析与二次有机气溶胶估算[J].中国科学:地球科学,2014,44(4):723-734. [23] 徐昶.中国特大城市气溶胶的理化特性、来源及其形成机制[D].上海:复旦大学,2010.