引用本文:温杰,李博,张秀丽,等.烟台市典型工业排放PM2.5源成分谱特征研究[J].环境科学研究,2019,32(8):1333-1339.
WEN Jie,LI Bo,ZHANG Xiuli,et al.PM2.5 Profiles of Typical Industrial Emissions in Yantai City, China[J].Reserrch of Environmental Science,2019,32(8):1333-1339.]
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 286次   下载 117 本文二维码信息
码上扫一扫!
分享到: 微信 更多
烟台市典型工业排放PM2.5源成分谱特征研究
温杰1, 李博2, 张秀丽2, 田瑛泽1, 黄渤3, 朱红霞4, 冯银厂1
1. 南开大学环境科学与工程学院, 国家环境保护城市空气颗粒物污染防治重点实验室, 天津 300350;2. 烟台市环境监控中心, 山东 烟台 264003;3. 广州禾信仪器股份有限公司, 广东 广州 510530;4. 中国环境监测总站, 北京 100012
摘要:
鉴于烟台市本地化源成分谱研究缺乏的现状,以及颗粒物精细化来源解析及环境管理的需求,采用NK-ZXF颗粒物再悬浮采样器,对6家烟台市典型工业下载灰源样品进行再悬浮采样,构建6类〔燃煤电厂、供热锅炉、生物质锅炉、钢铁(烧结)行业、玻璃行业和垃圾处理行业〕PM2.5源成分谱,并对PM2.5源成分谱特征及其排放颗粒物携带重金属特征进行评估.结果表明:①燃煤电厂PM2.5源成分谱的标识组分包括Si、Cl-和SO42-,其质量分数分别为15.2%、9.3%和7.8%;与燃煤电厂相比,供热锅炉排放的PM2.5w(OC)偏高、w(SO42-)偏低;生物质锅炉排放的主要组分有K、Cl-和OC等,其质量分数分别为7.4%、13.3%和8.6%;钢铁(烧结)行业PM2.5源成分谱中w(Ca)、w(Fe)和w(Cl-)较高;SO42-和Ca为玻璃行业PM2.5源成分谱的主要组分,其质量分数分别为20.6%、8.2%;垃圾处理行业重金属质量分数最高,其主要组分为Cl-和SO42-.②CD(coefficient of divergence,分歧系数)计算结果表明,各源成分谱有一定相异性(CD范围为0.53~0.70),其中生物质锅炉与垃圾处理行业PM2.5源成分谱差异(CD为0.70)最大.③各典型工业排放PM2.5所携带重金属特征显示,垃圾处理行业排放PM2.5中的重金属质量分数(2.3%)最高,燃煤电厂、供热锅炉、生物质锅炉和玻璃行业排放的重金属中Cr、Ni和Cu相对质量分数较高,钢铁行业和垃圾处理行业排放的重金属中Pb相对质量分数较高.研究显示,所构建的烟台市各典型工业排放PM2.5源成分谱特征鲜明,能够反映各行业PM2.5排放特征.
关键词:  烟台市  PM2.5  源成分谱  典型工业排放  重金属
DOI:10.13198/j.issn.1001-6929.2019.04.06
分类号:X823
基金项目:国家重点研发计划重点专项(No.2016FYC0208500,2016FYC0208501)
PM2.5 Profiles of Typical Industrial Emissions in Yantai City, China
WEN Jie1, LI Bo2, ZHANG Xiuli2, TIAN Yingze1, HUANG Bo3, ZHU Hongxia4, FENG Yinchang1
1. State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China;2. Yantai Environmental Monitoring Center, Yantai 264003, China;3. Guangzhou Hexin Instrument Company Limited, Guangzhou 510530, China;4. China Environmental Monitoring Station, Beijing 100012, China
Abstract:
Due to the lack of local source profiles in Yantai City, as well as the requirements of environmental management and source apportionment for particulate matter, PM2.5 samples from six typical industries were collected. After resuspension by NK-ZXF, six source profiles (coal-fired power plants, heating boilers, biomass boilers, steel industry (sintering), glass industry and refuse processing plants) were established. Besides, the characteristics of trace heavy metals in aerosols were evaluated. The main conclusions were described as follows: (1) The marked components of the power plant profile included Si (15.2%), Cl- (9.3%) and SO42- (7.8%). w(OC) in heating boiler source was higher than that in the power plants, while w(SO42-) was relatively low; The main components of biomass boilers included K (7.4%), Cl- (13.3%) and OC (8.6%), etc. w(Ca), w(Fe) and w(Cl-) in the source profile of steel industry (sintering) were higher. Meanwhile, SO42- (20.6%) and Ca (8.2%) were the main components in the glass industry source. The mass fraction of the total heavy metals was the highest in the refuse processing plants among all source profiles. (2) Coefficient of divergence (CD) of source profiles were sufficiently diverse (CD=0.53-0.70), in which the difference between biomass boilers and the refuse processing plants was the largest (CD=0.70). (3) The trace heavy metal mass contribution to PM2.5 in refuse processing plant source was the highest (2.3%); In terms of relative contents, Cr, Ni and Cu were relatively high in the source profiles of coal-fired power plants, heating boilers, biomass boilers and glass industry. On the other hand, the Pb contents were relatively high in steel industry and waste disposal industry. In conclusion, the source profiles were established completely, which could reflect distinctions of various industries.
Key words:  Yantai City  PM2.5  source profiles  industries emissions  heavy metal