Speciation distribution and mass balance of copper and zinc in urban rain, sediments, and road runoff

被引：0
作者：
XiaoJun Zuo
DaFang Fu
He Li
机构：
[1] Southeast University,Department of Municipal Engineering, School of Civil Engineering
[2] Jiangsu Province Engineering Research Center for Water Treatment and Ecological Restoration,undefined
来源：
Environmental Science and Pollution Research | 2012年 / 19卷
关键词：
Road runoff; Metals; Speciation distribution; Mass balance;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Heavy metal pollution in road runoff had caused widespread concern since the last century. However, there are little references on metal speciation in multiple environmental media (e.g., rain, road sediments, and road runoff). Our research targeted the investigation of metal speciation in rain, road sediments, and runoff; the analysis of speciation variation and mass balance of metals among rain, road sediments, and runoff; the selection of main factors by principal component analysis (PCA); and the establishment of equation to evaluate the impact of rain and road sediments to metals in road runoff. Sequential extraction procedure contains five steps for the chemical fractionation of metals. Flame atomic absorption spectrometry (Shimadzu, AA-6800) was used to determine metal speciation concentration, as well as the total and dissolved fractions. The dissolved fractions for both Cu and Zn were dominant in rain. The speciation distribution of Zn was different from that of Cu in road sediments, while speciation distribution of Zn is similar to that of Cu in runoff. The bound to carbonates for both Cu and Zn in road sediments were prone to be dissolved by rain. The levels of Cu and Zn in runoff were not obviously influenced by rain, but significantly influenced by road sediments. The masses for both Cu and Zn among rain, road sediments, and road runoff approximately meet the mass balance equation for all rainfall patterns. Five principal factors were selected for metal regression equation based on PCA, including rainfall, average rainfall intensity, antecedent dry periods, total suspended particles, and temperature. The established regression equations could be used to predict the effect of road runoff on receiving environments.
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页码：4042 / 4048
页数：6
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