| 四川省典型工业行业PM2.5成分谱分析 |
| 摘要点击 2351 全文点击 793 投稿时间：2018-04-17 修订日期：2018-09-07 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 细颗粒物 工业行业 成分谱 四川省 排放特征 |
| 英文关键词 fine particulate matter industries source profile Sichuan Province emission characteristics |
| 作者 | 单位 | E-mail | | 冯小琼 | 四川省环保科技工程有限责任公司, 成都 610041
四川省环境保护科学研究院, 成都 610041 | f_xiaoqiong@126.com | | 陈军辉 | 四川省环境保护科学研究院, 成都 610041 | 9503062@qq.com | | 熊文朋 | 四川省环保科技工程有限责任公司, 成都 610041 | | | 梅林德 | 四川省环保科技工程有限责任公司, 成都 610041 | | | 徐雪梅 | 四川省环保科技工程有限责任公司, 成都 610041 | | | 尹寒梅 | 四川省环保科技工程有限责任公司, 成都 610041 | | | 范武波 | 四川省环境保护科学研究院, 成都 610041 | | | 姜涛 | 四川省环境保护科学研究院, 成都 610041 | | | 钱骏 | 四川省环境保护科学研究院, 成都 610041 | | | 叶宏 | 四川省环境保护科学研究院, 成都 610041 | |
|
| 中文摘要 |
| 利用荷电低压颗粒物撞击器（ELPI+）对四川省水泥行业、玻璃行业、陶瓷行业、砖瓦行业、燃煤锅炉、生物质锅炉、电厂、钢铁行业等典型行业开展排放特征测试，通过组分分析，获取各行业PM2.5成分特征谱.结果表明：①水泥、玻璃、陶瓷、砖瓦等建材行业均以Si、Ca、Mg等元素为主要排放组分，双碱法脱硫SO42-排放占比高于其他脱硫工艺；②电厂PM2.5中SO42-、Ca2+、NH4+、Mg和Si为特征组分；燃煤锅炉中OC、Al、Si和Ca等为特征组分；③OC和EC是生物质锅炉PM2.5主要排放组分，成型生物质燃料锅炉中K排放占比也较高，非成型生物质燃料锅炉中Cl-排放占比为所有行业中最高；④钢铁行业中Ca含量最高，为18.11%，其次为SO42-、Na+和Fe. |
| 英文摘要 |
| An electrical low pressure impactor particle monitor was used to monitor typical industries in Sichuan Province, such as cement, glass, ceramic, brick-tile, coal-fired boiler, biomass boiler, power plant, and steel industry. Fine particulate matter source profiles of each industry were developed based on the laboratory analysis. The results showed that Si, Ca, and Mg were the major elements of building industry particulate matter emission. Sulfate emission from double sodium-calcium was higher than from other desulfurization technologies in the building industry. The main chemical components of PM2.5 from power plants were SO42-, Ca2+, NH4+, Mg, and Si, while OC, Al, Si, and Ca were the main chemical components of PM2.5 from coal-fired boilers. The content of OC was the most abundant in biomass briquette boiler particulate matter emissions, followed by K and EC. In term of the biomass fuel boiler PM2.5 source profile, OC, EC, and Cl- were the major chemical components. Ca was the largest component of PM2.5 from the steel industry, accounting for 18.11% of the total PM2.5 emission, followed by SO42-, Na+, and Fe. |
|
|
|
