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印度特大城市加尔各答 57 个采样点的道路尘中重金属的粒径分布、来源及健康风险评估。

Spatially resolved distribution, sources and health risks of heavy metals in size-fractionated road dust from 57 sites across megacity Kolkata, India.

机构信息

Department of Earth Sciences, Indian Institute of Science Education and Research (IISER), Kolkata, Mohanpur 741246, Nadia, India.

Department of Earth Sciences, Indian Institute of Science Education and Research (IISER), Kolkata, Mohanpur 741246, Nadia, India.; Centre for Climate and Environmental Studies, Indian Institute of Science Education and Research (IISER), Kolkata, Mohanpur 741246, Nadia, India..

出版信息

Sci Total Environ. 2020 Feb 25;705:135805. doi: 10.1016/j.scitotenv.2019.135805. Epub 2019 Nov 27.

Abstract

This work reports the first assessment of contamination levels, source contributions and health risks associated with heavy metals (HMs) in road dust from Kolkata, the second-most polluted metropolis in India. To this end, samples collected from 57 locations across 6 land-use categories: residential, roadside, traffic, railway, port and industrial areas in the city during 2018 were analyzed for 11 major and trace metals (Ca, Mg, Fe, Al, Mn, Ni, V, Cu, Zn, Cr, Pb) in three size fractions: <75 μm, 75-125 μm and 125-300 μm. Overall, Mn, Zn, Cr, Pb, V, Cu and Ni were enriched in the smallest fraction by factors of 1.2-2.7. Based on metal distribution across land-use categories, crustal dust (Fe, Al, V), construction activities (Ca, Mg), metallurgical processes (Pb), and non-exhaust abrasive emissions from brake, tire and paint wear (Cu, Zn, Cr) were found to be significant. HMs such as Cu, Zn, Cr and Pb were considerably enriched over background levels as suggested by three contamination indices: Enrichment Factor (EF; overall range: 2.4-12.0), Index of Geo-accumulation (I; overall range: 1.1-3.4), and Pollution Index (PI; overall range: 3.1-15.6). Geospatial mapping identified HM contamination hotspots (integrated PI >4) in west-central and northern parts (the older sections) of the city represented by industrial, port, and traffic-congested residential areas. Using positive matrix factorization (PMF), the following sources were apportioned for the three size fractions: crustal dust (48-66%), construction activities (18-20%), vehicular abrasion (7-21%), industrial emissions (5-8%), a Cr-dominated mixed source (6%) and an unassigned source (7%). Finally, health risk assessment in the form of cumulative hazard index (HI) and incremental lifetime cancer risk (ILCR) found that children (mean HI: 1.29 and ILCR: 2E-04) are comparatively more vulnerable than adults (mean HI: 0.22 and ILCR: 8E-05) to HM exposure, with the ingestion exposure pathway dominating over dermal contact and inhalation.

摘要

本研究报告了首次评估印度第二大污染城市加尔各答道路灰尘中重金属(HMs)的污染水平、来源贡献和健康风险。为此,于 2018 年在城市的 6 个土地利用类别(住宅、路边、交通、铁路、港口和工业区)的 57 个地点采集样本,分析了 3 个粒径(<75μm、75-125μm 和 125-300μm)中 11 种主要和痕量金属(Ca、Mg、Fe、Al、Mn、Ni、V、Cu、Zn、Cr、Pb)的含量。总体而言,Mn、Zn、Cr、Pb、V、Cu 和 Ni 在最小粒径中富集了 1.2-2.7 倍。根据土地利用类别的金属分布情况,发现地壳尘(Fe、Al、V)、建筑活动(Ca、Mg)、冶金过程(Pb)以及制动、轮胎和油漆磨损的非排放磨蚀排放(Cu、Zn、Cr)具有重要意义。根据三个污染指数:富集因子(EF;总体范围:2.4-12.0)、地质累积指数(I;总体范围:1.1-3.4)和污染指数(PI;总体范围:3.1-15.6),表明 Cu、Zn、Cr 和 Pb 等重金属明显高于背景水平。地理空间制图确定了城市中西中部和北部(较老的部分)的重金属污染热点(综合 PI>4),这些地区代表了工业、港口和交通拥挤的住宅区。使用正矩阵因子分解(PMF),对 3 个粒径分配了以下来源:地壳尘(48-66%)、建筑活动(18-20%)、车辆磨损(7-21%)、工业排放(5-8%)、Cr 占主导的混合源(6%)和未分配源(7%)。最后,以累积危害指数(HI)和增量终生癌症风险(ILCR)的形式进行健康风险评估发现,儿童(平均 HI:1.29 和 ILCR:2E-04)比成年人(平均 HI:0.22 和 ILCR:8E-05)更容易受到 HM 暴露的影响,摄入暴露途径超过皮肤接触和吸入。

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