首页> 外文期刊>Environmental Geochemistry and Health >Source apportionment and health risk assessment of potentially toxic elements in road dust from urban industrial areas of Ahvaz megacity, Iran
【24h】

Source apportionment and health risk assessment of potentially toxic elements in road dust from urban industrial areas of Ahvaz megacity, Iran

机译:伊朗阿瓦士特大城市城市工业区道路扬尘中潜在有毒元素的来源分摊和健康风险评估

获取原文
获取原文并翻译 | 示例
       

摘要

This study investigates the occurrence and spatial distribution of potentially toxic elements (PTEs) (Hg, Cd, Cu, Mo, Pb, Zn, Ni, Co, Cr, Al, Fe, Mn, V and Sb) in 67 road dust samples collected from urban industrial areas in Ahvaz megacity, southwest of Iran. Geochemical methods, multivariate statistics, geostatistics and health risk assessment model were adopted to study the spatial pollution pattern and to identify the priority pollutants, regions of concern and sources of the studied PTEs. Also, receptor positive matrix factorization model was employed to assess pollution sources. Compared to the local background, the median enrichment factor values revealed the following order: Sb Pb Hg Zn Cu V Fe Mo Cd Mn Cr ae Co ae Al ae Ni. Statistical results show that a significant difference exists between concentrations of Mo, Cu, Pb, Zn, Fe, Sb, V and Hg in different regions (univariate analysis, Kruskal-Wallis test p 0.05), indicating the existence of highly contaminated spots. Integrated source identification coupled with positive matrix factorization model revealed that traffic-related emissions (43.5%) and steel industries (26.4%) were first two sources of PTEs in road dust, followed by natural sources (22.6%) and pipe and oil processing companies (7.5%). The arithmetic mean of pollution load index (PLI) values for high traffic sector (1.92) is greater than industrial (1.80) and residential areas (1.25). Also, the results show that ecological risk values for Hg and Pb in 41.8 and 9% of total dust samples are higher than 80, indicating their considerable or higher potential ecological risk. The health risk assessment model showed that ingestion of dust particles contributed more than 83% of the overall non-carcinogenic risk. For both residential and industrial scenarios, Hg and Pb had the highest risk values, whereas Mo has the lowest value.
机译:本研究调查了收集的67个道路扬尘样品中潜在有毒元素(PTE)(Hg,Cd,Cu,Mo,Pb,Zn,Ni,Co,Cr,Al,Fe,Mn,V和Sb)的发生和空间分布来自伊朗西南部阿瓦士(Ahvaz)大城市的城市工业区。采用地球化学方法,多元统计,地统计学和健康风险评估模型来研究空间污染模式,并确定所研究的PTE的优先污染物,关注区域和来源。此外,采用受体正矩阵分解模型来评估污染源。与局部背景相比,中值富集因子值显示以下顺序:Sb> Pb> Hg> Zn> Cu> V> Fe> Mo> Cd> Mn> Cr ae Co ae Al ae Ni。统计结果表明,不同地区的Mo,Cu,Pb,Zn,Fe,Sb,V和Hg浓度之间存在显着差异(单变量分析,Kruskal-Wallis试验p <0.05),表明存在高度污染的斑点。综合来源识别和正矩阵分解模型显示,与交通有关的排放(43.5%)和钢铁行业(26.4%)是道路灰尘中PTE的前两个来源,其次是自然来源(22.6%)和管道和石油加工公司(7.5%)。高交通部门(1.92)的污染负荷指数(PLI)值的算术平均值大于工业(1.80)和居民区(1.25)。此外,结果还表明,在41.8和9%的粉尘样本中,Hg和Pb的生态风险值均高于80,表明它们的潜在生态风险相当大或更高。健康风险评估模型显示,摄入粉尘颗粒占总体非致癌风险的83%以上。对于住宅和工业场景,Hg和Pb的风险值最高,而Mo的风险值最低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号