Determining heavy metal contamination of road dust in Delhi, India

Suryawanshi, P.; Rajaram, B.; Bhanarkar, A. D.; Rao, C. V. Chalapati

doi:10.20937/atm.2016.29.03.04

Cited by 81 publications

(32 citation statements)

References 51 publications

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“…Heavy metals associated pollution in relation to road deposited sediment or in any sediment are well documented in the literature [31,32]. In this study, assessment of contamination of suspended/re-suspended road dust collected from road side plants, road barriers, road islands were performed taking several indicators, such as contamination factor (C f ), degree of contamination (C deg ), potential ecological risk index (RI), pollution index (PI) and integrated pollution index (IPI) in a hierarchy level.…”

Section: Heavy Metal Pollution Assessmentmentioning

confidence: 99%

Evaluation of heavy metal pollution risk associated with road sediment

Newaz

Pal

Hossain

et al. 2020

Environmental Engineering Research

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A detailed investigation has been conducted to assess the heavy metal pollution risk associated with the road deposited sediment collected from the 32 major road sites in Chittagong city. The acid digestion of road sediments for metals extraction was carried out prior to determine total concentrations of Zn, Pb, Cr, Cu, Ni, Cd by using Polarized Zeeman Atomic Absorption Spectrophotometer (Z-2000) following standard analytical protocol. The contamination and pollution risk level were assessed using degree of contamination, potential ecological risk index and integrated pollution index. The study revealed that the mean heavy metal concentrations of Zn, Pb, Cr, Cu, Ni, Cd were found as 975, 84, 77, 74, 32, 1.6 mg/kg, respectively, across the road sites in Chittagong city. The mean concentrations are found 1.1 to 44 times higher in comparison to soil background, signifying relatively greater enrichment for Zn, Cd and Pb across the sites, suggesting vehicular emission on roads with site-specific characteristics. Based on pollution indices, Ruby Cement, City Gate and Enayeth Bazar road sites pose high risk, while eight other sites are found with moderate to considerable risk potential, and remaining 21 sites pose low to moderate risk potential.

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Section: Heavy Metal Pollution Assessmentmentioning

confidence: 99%

Evaluation of heavy metal pollution risk associated with road sediment

Newaz

Pal

Hossain

et al. 2020

Environmental Engineering Research

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“…PC-2 also had moderate loading on Co. Co and Cr formed the cobalt-chromium (CoCr) alloy which is used in engine components and many other industrial or mechanical components where high wear-resistance is required [58]. PC-3 explained 15.5% of the total variance and dominated by SOM, Ca and P. This dipolar factor presents moderate positive loading of SOM and moderate negative loadings of Ca and P. Suryawanshi et al [59] working on road dust of Delhi confirmed loadings of Cu and Pb on PC-1. They suggested that particles released due to traffic activities are responsible for their contents.…”

Section: Multivariate Statistical Approachmentioning

confidence: 99%

Assessment of pollution in roadside soils by using multivariate statistical techniques and contamination indices

Kumar

Sharma

et al. 2019

SN Appl. Sci.

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Pollution of roadside soils by heavy metals (HMs) presents serious concern throughout the world and, specifically, in India, due to the increasing traffic and anthropogenic activities. Understanding this problematic, policymakers and land managers will be able to design correct and sustainable land plans to avoid human health problems. The current study was conducted in order to determine the sources and levels of contamination by physiochemical parameters and HMs (Cu, Co, Cr and Pb) in roadside soils of Jalandhar, Punjab. A total of 90 samples were collected in triplicates from different sites and analysed for physiochemical and heavy metals. The average values of Cu, Co, Cr and Pb were found less than the permissible limits of Indian soils. Pearson's correlation analysis indicated that HMs are positively correlated with each other, indicating a similar source of their origin. Further results of correlation analysis were supported by cluster analysis and Principal component analysis also indicated that HMs have the same source of origin mainly anthropogenic (agricultural and transportation activities), while soil properties have the same source of origin. The results of contamination factor, geo-accumulation index, potential contamination index, pollution index and ecological risk index showed that soils are moderately contaminated by HMs. In the future, further research would be needed to understand which specific factor (agriculture, industry and urban residues) could be considered as the main driving factor. We conclude that this study can provide the baseline data for policymakers and stakeholders to help the protection of soil ecosystem.

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“…Various studies outside Nigeria such as that of Obaidullah et al, (2015) characterized indoor PM into three sizes of particles such as PM1, PM2.5 and PM10 at three different enclosed parking garages in two cities of Belgium with varying vehicle intensity and varying layout with results indicating average particles mass concentrations in garages ranging from 28 µg/Nm 3 to 50 µg/Nm 3 for PM1, 43 µg/Nm 3 to 60 µg/Nm 3 for PM2.5 and 58 µg/Nm 3 to 90 µg/Nm 3 for PM10. Suryawanshi et al, (2016) measured the concentration levels and sources of heavy metals contamination in road dust samples collected from industrial, highways, residential and mixed use in Delhi, India. Metal content in road dust was analyzed with results indicating high concentration levels of Ni, Cr and Pb in industrial areas.…”

Section: Introductionmentioning

confidence: 99%

March 2020

2020

Nig. J. Env. Sci. & Tech.

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University of Ilorin is one of the most populated Universities in Nigeria. Roadside dust was collected from the busiest roads of the university permanent site and level of heavy metals (Fe, Cu, Zn, Cd and Pb), organic carbon and physico-chemical properties of the dust were assessed. Atomic Absorption Spectrometry (Buck Scientific 210/211VGP) was used to analyse for heavy metals while appropriate standard methods were employed for the determination of organic carbon, pH, conductivity, particle density and bulk density of the roadside dust. The pH of dust from all roads was almost alkaline (7.2-7.6), particle density ranged from 1.60-2.14 gml-1 , bulk density ranged from 1.03-1.62 gml-1 , electrical conductivity ranged from 0.25 to 0.57µScm-1 , organic carbon (OC) content of all roadside dust ranged from 0.9 %-1.2 %. While Pb was obtained to be absent in all the roadside dust samples, it was observed that the abundance of other heavy metals at all the various sampling points and control followed the order Fe >>>Zn >> Cu > Cd. The average level of Fe in the control site was 2443.85 mg/kg which was very lower to that from other sites in the study. The results for the metal pollution index (MPI) show that all the roads were polluted with Fe, Cu, Zn and Cd. The levels of the metals showed a dependence on anthropogenic pollution such as vehicle density compared with the control site.

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Determining heavy metal contamination of road dust in Delhi, India

Cited by 81 publications

References 51 publications

Evaluation of heavy metal pollution risk associated with road sediment

Evaluation of heavy metal pollution risk associated with road sediment

Assessment of pollution in roadside soils by using multivariate statistical techniques and contamination indices

March 2020

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