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温州市PM2.5中水溶性离子污染特征及来源分析

2017-02-07葛琳琳郑元铸涂圣锋朱京科王俏丽王向前李素静

浙江大学学报(理学版) 2017年1期
关键词:环境空气滤膜水溶性

葛琳琳,郑元铸,涂圣锋,朱京科,王俏丽,王向前,李素静*,李 伟,

(1.浙江大学 环境工程研究所,浙江 杭州 310058; 2.温州市环境监测中心站 浙江 温州 325003; 3.浙江大学 生物质

温州市PM2.5中水溶性离子污染特征及来源分析

葛琳琳1,郑元铸2,涂圣锋2,朱京科3,王俏丽4,王向前3,李素静3*,李 伟1,3

(1.浙江大学 环境工程研究所,浙江 杭州 310058; 2.温州市环境监测中心站 浙江 温州 325003; 3.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; 4.浙江大学 热能工程研究所,浙江 杭州 310027)

温州;PM2.5;水溶性离子;污染特征;源解析

Characteristics and sources apportionment of water-soluble ions in PM2.5of Wenzhou, Zhejiang Province. Journal of Zhejiang University(Science Edition), 2017,44(1):112-119

0 引 言

温州市位于浙江省东南沿海地区,产业特色为服装、电器、制鞋、制革、汽摩配和印刷包装等,是浙江省经济发展较快的城市之一.随着城市化进程的加快以及工业的迅速发展,灰霾、酸雨和光化学污染等大气污染问题日益凸显,亦越来越受关注.据温州市2014年环境状况公报,其大气首要超标污染物为PM2.5,全市平均霾日数为62.5 d,比2013年减少33%(30 d).目前,还没有关于温州市大气PM2.5中水溶性离子的研究.为此,本研究在温州城区设置4个采样点,分4个季度采集PM2.5样品,研究温州市大气PM2.5中水溶性离子的污染特征和主要来源,对了解温州市大气复合污染特征、制定有效的防治对策具有重要意义.

1 材料与方法

1.1 样品采集

为全面评价温州主城区(鹿城区、瓯海区和龙湾区)大气细颗粒物的污染现状,根据《环境空气颗粒物源解析监测技术方法指南(试行)》(以下简称指南)的规定,在温州市区范围内布设4个国控(或省控)监测点位,温州市环境监测中心站(简称市站)、温州市环境监测中心站瓯海分站(简称瓯海)、龙湾区环境空气监测点(简称龙湾)以及南浦环境空气监测点(简称南浦)进行环境受体样品采集.4个采样点均位于温州市主城区.市站点位于鹿城区,南浦和瓯海点位于瓯海区,龙湾点位于龙湾区;市站采样点位于瓯江边,周围是学校和居民区,大气污染来源相对较少;南浦采样点位于温州大道和南浦路交汇处,2条道路均是双向六车道的市区交通干道,平时车流量大;瓯海附近住宅区密集,紧邻交通干道,车流量较大,且附近有一些较大的货运公司;龙湾点位于瓯江附近的居民区,周边有一些机械阀门铸造企业和混凝土企业.4个站点同步采集得到的环境受体样品能够代表温州市区空气中PM2.5的来源状况.具体监测点分布见图1.

根据指南中对采样时间及周期的规定,本项目在充分研究温州市颗粒物浓度、排放源的季节性变化特征和气象因素后,分别于2015年1月4~12日(冬季)、4月16~25日(春季)、7月22~29日(夏季)和10月18~24日(秋季)对4个采样点进行同步PM2.5采样.使用崂应2030型智能TSP中流量采样器采样,设置采样流量为100 L·min-1.采集的样品量应满足分析要求且不过载,设置采样时间为20 h.采样滤膜为石英纤维滤膜(QMA 1851-090型,直径90 mm).

崂应2030型智能TSP中流量采样器技术参数:

采样流量:100 L·min-1,分辨率0.1 L·min-1,准确度≤±5.0%,流量相对标准偏差≤2.0%;

计前温度:-30~99 ℃,分辨率0.1 ℃,准确度≤±1.0 ℃;

大气压:70~130 kPa,分辨率0.01 kPa,准确度≤±500 Pa;

切割特性:PM10采样头Da50=(10±0.5)μm,g≤1.5±0.1;PM2.5采样头Da50=(2.5±0.2)μm,g≤1.2±0.1;

入口速度0.3 m·s-1,有效滤膜直径Φ 80 mm,连接头M20×1.5,噪声≤59 dB(A),工作电源AC220V±10%,50Hz;

图1 温州市PM2.5监测点位分布示意Fig.1 Sampling sites of PM2.5 in Wenzhou City

执行标准:HJ 618-2011《环境空气PM10和PM2.5的测定重量法》,HJ/T 93-2013《环境空气颗粒物(PM10和PM2.5)采样器技术要求及检测方法》.

1.2 膜处理

在样品采集前,将装有石英膜的铝箔袋敞口放到马弗炉中,在450 ℃条件下灼烧4 h,待石英膜自然冷却,取出后将铝箔袋密封.另外,用于保存石英膜膜盒的盒内铝箔也需在450 ℃灼烧4 h,且为避免镊子直接接触石英膜,滤膜准备过程中使用的镊子需用以上铝箔包好镊子尖头与膜接触的部分.待样品采集后,将滤膜放入膜盒密封、编号,放入-30 ℃的冰箱内冷冻保存.采样前后滤膜均放在恒温恒湿箱内平衡24 h以上,恒重条件设为温度(20±1) ℃、相对湿度(50±5)%RH.平衡后用万分之一分析天平称重.

1.3 样品预处理及分析

将滤膜剪成约0.5 cm×3 cm的条状放入带塞平口试管中,加入20.00 mL超纯水,将试管置于超声仪中超声震荡30 min后静置,取上层清液.上层清液经0.22 μm针式过滤头过滤后,用ICS-1100离子色谱(美国Dionex公司)对滤液中的水溶性离子进行分析.

2 结果与讨论

2.1 PM2.5中水溶性离子浓度

表1 温州市2015年PM2.5中主要水溶性离子浓度及占比

表2 不同城市大气PM2.5中主要水溶性离子浓度

注 BDL表示数值低于检测限.

2.2 PM2.5中水溶性离子时空变化特征

图2 2015年观测期间温州市区PM2.5中水溶性离子的时空分布Fig.2 Spatial and temporal distribution of water-soluble ions in PM2.5 in Wenzhou during 2015A曲硝酸根硫酸根铵根氯(Cl-) E其他水溶性离子

2.3 阴阳离子平衡

阳离子=

(1)

(2)

图3 水溶性阴阳离子的相关性Fig.3 Correlations between anions and cations

温州市阴离子/阳离子的年均值为1.01±0.11,对温州市区PM2.5中水溶性离子做线性回归分析,发现阴阳离子存在明显相关性,R2为0.78,平衡方程斜率大于1.由此可见,温州市区PM2.5总

2.4 PM2.5中水溶性离子相关性分析

表3 水溶性离子与PM2.5 Pearson相关系数

** 在0.01水平(双侧)上显著相关; * 在0.05水平(双侧)上显著相关.

(3)

(4)

图和的相关性Fig.4 Correlations between and

较低时,有利于颗粒物中NH4NO3的形成.另外,也有研究表明,NOR与光照强度、大气中氧化自由基、H2O2以及臭氧等有关[37].如表4所示,温州市区四季NOR平均值均大于0.1,年均值为0.13±0.04,说明存在二次转化.冬、春两季NOR值相对较高,可能主要受到温度的影响.

表4 PM2.5中SOR和NOR的水平

2.6 主成分分析

采用主成分分析法(principal component analysis, PCA)对温州市PM2.5样品中水溶性离子进行源解析,从而对PM2.5中水溶性离子的来源做定性分析.主成分分析采用SPSS 19.0完成,分析结果见表5.

表5 因子载荷矩阵

温州市包含4家主要的燃煤发电厂(浙能乐清电厂、浙能温州电厂、温州特鲁莱电厂以及华润电力),主要工业为合成革、塑料、服装、电器、化工、化纤、印染和造纸等,虽然工业燃烧用煤量远小于燃煤发电厂,但工业燃烧不够完全,污染物去除效率远低于火力发电,因此,工业燃煤污染对环境空气的贡献也较大.根据温州市国民经济和社会发展统计公报,2015年年末全市户籍总人口811.21万,其中市区人口165.93万;年末温州市机动车保有量202.68万辆,较2014年年末增加14.45万辆;全市房屋施工面积4.650 82×107m2;全市粮食播种面积为12.294×104hm2(184.41万亩);国民经济三次产业结构的比重分别为2.7%(第一产业)、45.5%(第二产业)和51.8%(第三产业).根据主成分分析结果,结合温州市实际情况,温州市PM2.5中水溶性离子主要来源于燃煤(包括火力发电和工业燃烧过程)、机动车尾气、生物质燃烧以及道路和建筑扬尘,另外颗粒物中F-主要来源于纺织、造纸和涂料等行业.

3 结 论

3.3 温州市SOR和NOR的年均值分别为0.44±0.09和0.13±0.04,且夏秋季SOR大于春冬季,NOR小于春冬季.

3.4 根据主成分分析结果,结合实际情况,可知温州市PM2.5中水溶性离子主要来源于燃煤(包括火力发电和工业燃烧过程)、机动车尾气、生物质燃烧以及道路和建筑扬尘,另外颗粒物中F-主要来源于纺织、造纸和涂料等行业.

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GE Linlin1, ZHENG Yuanzhu2, TU Shengfeng2, ZHU Jingke3, WANG Qiaoli4, WANG Xiangqian3, LI Sujing3, LI Wei1,3

(1.InstituteofEnvironmentalEngineering,ZhejiangUniversity,Hangzhou310058,China; 2.WenzhouEnvironmentalMonitoringCenter,Wenzhou325003,China; 3.BiomassChemicalIndustryMinistryofEducationKeyLaboratory,InstituteofIndustrialEcologyandEnvironment,ZhejiangUniversity,Hangzhou310027,China; 4.InstituteofThermalPowerEngineering,ZhejiangUniversity,Hangzhou310027,China)

Wenzhou; PM2.5; water-soluble ions; pollution characteristics; source apportionment

2016-03-14.

葛琳琳(1991-),ORCID:http//orcid.org/0000-0002-8908-4292,女,硕士研究生,主要从事PM2.5源解析研究, E-mail: gll920@zju.edu.cn.

*通信作者,ORCID:http://orcid.org/0000-0002-7757-3881,E-mail:sujing-li@zju.edu.cn.

10.3785/j.issn.1008-9497.2017.01.016

X 51

A

1008-9497(2017)01-112-09

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