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铅冶炼厂无组织排放源不同颗粒物中铅含量特征
摘要点击 2475  全文点击 1246  投稿时间:2015-08-03  修订日期:2016-04-07
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中文关键词  铅锌冶炼  铅(Pb)  无组织排放  总悬浮颗粒物(TSP)  可吸入颗粒物(PM10)  细颗粒物(PM2.5)
英文关键词  lead-zinc smelter  lead(Pb)  unorganized emissions  total suspended particle(TSP)  respirable particulate matter (PM10)  fine particulate matter(PM2.5)
作者单位E-mail
刘大钧 合肥工业大学土木与水利工程学院, 合肥 230009
环境保护部环境工程评估中心, 北京 100012 
liudj@acee.org.cn 
汪家权 合肥工业大学土木与水利工程学院, 合肥 230009 jiaquan.wang@163.com 
中文摘要
      使用TH 880-F型烟尘测试仪和低压颗粒物冲击仪(low pressure impactor,LPI)对云南某铅锌冶炼厂无组织排放区(1区和2区)烟气颗粒物进行分级采样,并分析各粒径段颗粒物中的铅元素粒径分布特征及含量情况.从铅在不同粒径颗粒物中的分布特征来看,无组织1区排放的细颗粒物(fine particulate matter,PM2.5,粒径小于2.5μm的颗粒)中的铅分别占可吸入颗粒物(particulate matter,PM10,粒径小于10μm的颗粒)和总悬浮物颗粒(total suspended particle,TSP,粒径小于100μm的颗粒)中的66.6%和43.1%,无组织2区相应占比分别为54.1%和38.7%,这表明无组织排放的铅污染物粒径以小粒径颗粒为主.无组织排放颗粒物中铅含量与地面气象资料中风向、风速密切相关,其次是风能密度.铅冶炼区无组织排放颗粒物中铅含量与边界层风向、风速的相关度最高,其次是风能密度w;而渣场无组织排放颗粒物中铅含量与边界层温度垂直分布γ的相关度最高,其次是uv分量,然后为风能密度w.
英文摘要
      Using TH 880-F type dust tester and low pressure impactor (LPI), the size-segregated atmospheric particulates were collected, the particle size distribution characteristics and the content of lead were analyzed in the unorganized emission area (1 and 2) from the Blast and ISA furnaces within a lead-zinc smelter in Yunnan province. The results showed that lead in PM2.5(fine particulate matter, particle size <2.5 μm) accounted for 66.6% and 43.1% of PM10(particulate matter, particle size <10 μm) and TSP(total suspended particle, particle size<100 μm) in unorganized emission area 1, and the corresponding proportions in the unorganized emission area 2 were 54.1% and 38.7%, all these showed that the lead pollution mainly existed in small size particles. There was a close correlation between the lead content in the unorganized emission particulate matter and the wind direction and wind speed in the surface meteorological data, followed by the wind energy density. In lead smelting area, the correlation of lead content in the unorganized emission particulate matter with the wind direction and wind speed was the highest, followed by the wind energy density w. In the slag field, the correlation between lead content in the unorganized emission particulate matter and the vertical distribution of the temperature (γ) of the boundary layer was the highest, followed by the component u and v, and then the wind energy density w.

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