Please wait a minute...
浙江大学学报（理学版）
浙江大学学报（理学版）  2017, Vol. 44 Issue (4): 464-471    DOI: 10.3785/j.issn.1008-9497.2017.04.012
环境科学     
台州市不同功能区环境空气PM2.5的污染特征研究
陶志华1, 谢松青1, 何微娜1, 余彬彬1, 方铖1, 葛琳琳2,3, 李伟2,3, 王俏丽4, 王向前2,5
1. 台州市环境监测中心站, 浙江 台州 318000;
2. 浙江大学 生物质化工教育部重点实验室 工业生态与环境研究所, 浙江 杭州 310027;
3. 浙江大学 环境工程研究所, 浙江 杭州 310058;
4. 浙江大学 热能工程研究所, 浙江 杭州 310027;
5. 浙江大学 工程师学院, 浙江 杭州 310058
Pollution characteristics of PM2.5 in Taizhou, Zhejiang Province
TAO Zhihua1, XIE Songqing1, HE Weina1, YU Binbin1, FANG Cheng1, GE Linlin2,3, LI Wei2,3, WANG Qiaoli4, WANG Xiangqian2,5
1. Taizhou Environmental Monitoring Center, Taizhou 318000, Zhejiang Province, China;
2. Biomass Chemical Industry Ministry of Education Key Laboratory, Institute of Industrial Ecology and Environment, Zhejiang University, Hangzhou 310027, China;
3. Institute of Environmental Engineering, Zhejiang University, Hangzhou 310058, China;
4. Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China;
5. Polytechnic Institute, Zhejiang University, Hangzhou 310058, China
 全文: PDF(1167 KB)   HTML  
摘要： 2015年7月至2016年3月在台州市采集504个PM2.5样品，利用电感耦合等离子体发射光谱仪和原子荧光光度计分析样品中的19种无机元素，利用离子色谱和热光碳分析仪分别分析8种水溶性离子和2种碳组分有机碳（OC）和元素碳（EC）的质量分数，研究不同功能区环境空气PM2.5及其化学组分的污染特征.结果表明，台州市环境空气PM2.5年均质量浓度为（45.3±20.1）μg·m-3，季节变化规律为冬季 > 春季 > 秋季 > 夏季，空间变化规律为工业园区 > 商住区 > 自然保护区.19种无机元素占PM2.5总量的9.78%，主要元素为Na、K、Ca、Si、Zn、Al、Mg和Fe.富集因子分析结果表明，台州市无机元素的主要污染源包括道路交通尘、燃煤尘、建筑扬尘以及海盐粒子.采样期间8种水溶性离子总质量浓度为（26.50±5.86）μg·m-3，SO42-、NO3-和NH4+占PM2.5总量的（41.96±8.59）%.Cl-、NO3-和NH4+离子质量分数为工业园区 > 商住区 > 自然保护区，SO42-离子质量分数水平在3个功能区相近.OC和EC的年均浓度分别为（10.04±2.08）和（3.27±0.80）μg·m-3.商住区和工业园区OC和EC浓度水平相近，略高于自然保护区.SOC/OC值为秋季最高，冬季其次.不同季节SOC/OC值均为工业园区高于商住区和自然保护区.
关键词： 台州;  PM2.5;  水溶性离子;  无机元素;  碳组分;  污染特征    
Abstract: This study collected 504 samples of PM2.5 in Taizhou from July, 2015 to March, 2016. 19 inorganic elements, 8 water-soluble ions and 2 carbonaceous components associated to PM2.5 were detected by inductive coupling plasma emission spectrograph, atomic fluorescence spectrophotometer, ion chromatograph and thermal optical analyzer, respectively. Chemical composition and pollution characteristics were analyzed in different functional areas. Results showed that the average mass concentration of PM2.5 during the sampling period was (45.3±20.1) μg·m-3, and the season order of concentration was winter > spring > autumn > summer, and for the space, the order of concentrations was industrial area > hybrid area of commerce and residence > scenic area. 19 inorganic elements accounted for 9.78% of the total PM2.5. Na,K,Ca,Si,Zn,Al,Mg and Fe were the dominant elements. The results of enrichment factor method indicated that transportation source, coal consumption, construction dust and sea salt were the main sources of pollution. The average mass concentration of 8 ions was found to be (26.50±5.86) μg·m-3. Secondary inorganic species SO42-, NO3- and NH4+were the major components of water-soluble ions in PM2.5, with a contribution of (41.96±8.59)%. The order of Cl-, NO3- and NH4+ concentration was industrial area > hybrid area of commerce and residence > scenic area, and concentrations of SO42- were close in different functional areas. The average mass concentration of OC and EC were (10.04±2.08) and (3.27±0.80) μg·m-3, respectively. The concentrations of OC and EC were close in hybrid area of commerce and residence and industrial area, and were slightly above the scenic area. SOC/OC was the highest in autumn, and then in winter. The order of SOC/OC was industrial area > hybrid area of commerce and residence > scenic area.
Key words: Taizhou    PM2.5    water-soluble ions    inorganic elements    carbonaceous components    pollution characteristics
收稿日期: 2016-09-23 出版日期: 2017-12-09
CLC:  X51  
基金资助: 第59批中国博士后科学基金面上资助项目（2016M590539）；国家自然科学基金青年科学基金资助项目（51608475）；浙江省科技厅公益技术研究工业项目（2015C31011）.
通讯作者: 王向前,ORCID:http://orcid.org/0000-0002-5293-9592,E-mail:wangxiangqiankevin@126.com.     E-mail: wangxiangqiankevin@126.com
作者简介: 陶志华(1973-),ORCID:http://orcid.org/0000-0001-8420-1616,男,高级工程师,主要从事环境空气自动监测研究,E-mail:tzh1203@163.com.
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　
陶志华
谢松青
何微娜
余彬彬
方铖
葛琳琳
李伟
王俏丽
王向前

引用本文:

陶志华, 谢松青, 何微娜, 余彬彬, 方铖, 葛琳琳, 李伟, 王俏丽, 王向前. 台州市不同功能区环境空气PM2.5的污染特征研究[J]. 浙江大学学报（理学版）, 2017, 44(4): 464-471.

TAO Zhihua, XIE Songqing, HE Weina, YU Binbin, FANG Cheng, GE Linlin, LI Wei, WANG Qiaoli, WANG Xiangqian. Pollution characteristics of PM2.5 in Taizhou, Zhejiang Province. Journal of ZheJIang University(Science Edition), 2017, 44(4): 464-471.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2017.04.012    或    https://www.zjujournals.com/sci/CN/Y2017/V44/I4/464

[1] WEI H, CAO J J, TAO Y B, et al. Seasonal variation of chemical species associated with short-term mortality effects of PM2.5 in Xi'an, a central city in China[J]. American Journal of Epidemiology,2012,175(6):556-566.
[2] LEE H L, PARK S S, KIM K W, et al. Source identification of PM2.5 particles measured in Gwangju, Korea[J]. Atmospheric Research,2008,88(3/4):199-211.
[3] TAO J, ZHANG L M, ENGLING G, et al. Chemical composition of PM2.5 in an urban environment in Chengdu, China:Importance of springtime dust storms and biomass burning[J]. Atmospheric Research,2013,122(3):270-283.
[4] ZHANG F, WANG Z W, CHENG H R, et al. Seasonal variations and chemical characteristics of PM2.5 in Wuhan, central China[J]. Science of the Total Environment,2015,518:97-105.
[5] ZHAO P S, DONG F, HE D, et al. Characteristics of concentrations and chemical compositions for PM2.5 in the region of Beijing, Tianjin and Hebei, China[J]. Atmospheric Chemistry and Physics,2013,13(9):4631-4644.
[6] 陈源,谢绍东,罗彬.成都市大气细颗粒物组成和污染特征分析(2012-2013年)[J].环境科学学报,2015,36(3):1021-1031. CHEN Y, XIE S D, LUO B. Composition and pollution characteristics of fine particles in Chengdu from 2012 to 2013[J]. Acta Scientiae Circumstantiae,2015,36(3):1021-1031.
[7] 胡鸣,张懿华,赵倩彪.上海市冬季PM2.5无机元素污染特征及来源分析[J].环境科学学报,2015,35(7):1993-1999. HU M,ZHANG Y H,ZHAO Q B. Characteristics and sources of inorganic elements in PM2.5 during wintertime in Shanghai[J]. Acta Scientiae Circumstantiae,2015,35(7):1993-1999.
[8] 刘忠马,徐义邦,樊孝俊,等.南昌市秋季大气PM2.5浓度及化学组分特征分析[J].环境污染与防治,2015,37(9):55-59. LIU Z M, XU Y B, FAN X J, et al. Content and chemical composition characteristics of PM2.5 in autumn in Nanchang[J]. Environmental Pollution and Control,2015,37(9):55-59.
[9] XU L L, YU Y K, YU J S, et al. Spatial distribution and sources identification of elements in PM2.5 among the coastal city group in the Western Taiwan Strait region, China[J]. Science of the Total Environment,2013,442:77-85.
[10] SRIMURUGANANDAM B, SHIVA NAGENDRA S M. Chemical characterization of PM10 and PM2.5 mass concentrations emitted by heterogeneous traffic[J]. Science of the Total Environment,2011,409(17):3144-3157.
[11] 王新,聂燕,陈红,等.兰州城区大气PM2.5污染特征及来源解析[J].环境科学,2016,35(7):1619-1628. WANG X, NIE Y, CHEN H, et al. Pollution characteristics and source apportionment of PM2.5 in Lanzhou City[J]. Environmental Science,2016,35(7):1619-1628.
[12] 张霖琳,王超,刀谞,等.京津冀地区城市环境空气颗粒物及其元素特征分析[J].中国环境科学,2014,34(12):2993-3000. ZHANG L L, WANG C, DAO X, et al. Characterization of elements in air particulate matters in Beijing-Tianjin-Hebei megacities, China[J]. China Environmental Science,2014,34(12):2993-3000.
[13] TAN J H, DUAN J C, ZHEN N J, et al. Chemical characteristics and source of size-fractionated atmospheric particle in haze episode in Beijing[J]. Atmospheric Research,2016,167:24-33.
[14] 林晓辉,赵阳,樊孝俊,等.南昌市秋季大气PM2.5中金属元素富集特征及来源分析[J].环境科学,2014,37(1):35-40. LIN X H, ZHAO Y, FAN X J, et al. Enrichment characteristics and source analysis of metal elements in PM2.5 in autumn in Nanchang City[J]. Environmental Science,2014,37(1):35-40.
[15] 俞梁敏,金哲维,邱亮,等.昆山市大气PM2.5中无机元素污染特征研究[J].环境科学与管理,2015,40(6):22-25. YU L M, JIN Z W, QIU L, et al. Research on pollution characteristics of inorganic elements in PM2.5 in Kunshan[J]. Environmental Science and Management,2015,40(6):22-25.
[16] MOKHTARA M M, TAIBA R M, HASSIMA M H, et al. Understanding selected trace elements behavior in a coal-fired power plant in Malaysia for assessment of abatement technologies[J]. Air Waste Manage,2014,64(8):867-878.
[17] HSU C Y, CHIANG H C, LIN S L, et al. Elemental characterization and source apportionment of PM10 and PM2.5 in the western coastal area of central Taiwan[J]. Science of the Total
[1] 张仲伍,魏凯艳,孙九林,赵雪倩,何雪宁. 基于MODIS数据的山西省PM2.5浓度估算研究[J]. 浙江大学学报（理学版）, 2022, 49(5): 606-612.
[2] 傅颖颖, 张丰, 杜震洪, 刘仁义. 融合图卷积神经网络和注意力机制的PM2.5小时浓度多步预测[J]. 浙江大学学报（理学版）, 2021, 48(1): 74-83.
[3] 汪鹏, 熊春, 吴育杰, 李臻, 郭平, 陈雪, 俞绍才, 王志彬, 刘维屏. 杭州市2017年冬季一次重灰霾过程中PM2.5水溶性离子特征、来源及成因分析[J]. 浙江大学学报（理学版）, 2019, 46(3): 345-353.
[4] 黄婕, 张丰, 杜震洪, 刘仁义, 曹晓裴. 基于RNN-CNN集成深度学习模型的PM2.5小时浓度预测[J]. 浙江大学学报（理学版）, 2019, 46(3): 370-379.
[5] 葛琳琳, 郑元铸, 涂圣锋, 朱京科, 王俏丽, 王向前, 李素静, 李伟. 温州市PM2.5中水溶性离子污染特征及来源分析[J]. 浙江大学学报（理学版）, 2017, 44(1): 112-120.