Heavy metal contamination in street dust: source identification and health risk assessment in an urban Bangladeshi setting

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Md. Hasibur Rahaman, Md. Alinur Rahman, Rahamoni Khanam, Minhaz Ahmed, Md. Sayedul Islam, Fahim Muntasir Rabbi, Md. Kamrul Hasan, Md. Akteruzzaman, Mohammad Mahfuzur Rahman
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引用次数: 0

Abstract

This study investigates heavy metal (HM) contamination in street dust (SD) from 30 sites in Narayanganj, Bangladesh. Chromium (Cr) and copper (Cu) levels exceeded background values by five and ten times, respectively, and were among the highest reported worldwide when compared to urban datasets from South Asia, China, and other regions. Source apportionment using principal component analysis (PCA) and positive matrix factorization (PMF) indicates that manufacturing industries and traffic emissions are the primary potential sources. Müller’s geo-accumulation index classified copper as “moderately to strongly polluted” and cadmium as “strongly to extremely polluted.” Risk indices indicate that potential carcinogenic and non-carcinogenic risks were notably higher for children, mainly through ingestion. These findings underscore critical health risks in urban environments and necessitate targeted mitigation strategies for industrial emissions and traffic pollution.

街道灰尘中的重金属污染:孟加拉国城市环境中的来源识别和健康风险评估
本研究调查了来自孟加拉国纳拉扬甘杰30个地点的街道粉尘(SD)中的重金属污染。铬(Cr)和铜(Cu)水平分别超过背景值的5倍和10倍,与南亚、中国和其他地区的城市数据集相比,是全球报告的最高水平之一。主成分分析(PCA)和正矩阵分解(PMF)表明,制造业和交通排放是主要的潜在污染源。m勒的地质堆积指数将铜划分为“中度到重度污染”,将镉划分为“重度到重度污染”。风险指数表明,儿童的潜在致癌和非致癌风险明显更高,主要是通过摄入。这些发现强调了城市环境中的重大健康风险,有必要针对工业排放和交通污染采取有针对性的缓解战略。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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