Quantification of particle bound metallic load and PAHs in urban environment of Delhi, India: Source and toxicity assessment

Hazarika, Naba; Srivastava, Arun; Das, Arunangshu

doi:10.1016/j.scs.2016.11.010

Cited by 32 publications

(9 citation statements)

References 57 publications

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“…The majority of PM 2.5 sources in Southeast Asia come from vehicular emissions, industrial pollution, and secondary aerosols as the dominating sources ( Singh et al, 2017 ). Vehicular activities, industrial by-products, and re-suspension of crustal soil are the major factors contributed by anthropogenic activities of the emission of particulate pollutants within the environment ( Hazarika and Srivastava, 2017a ; Hazarika et al, 2017b ; Tian et al, 2010 ). Additionally, Northeast Thailand is an important region for sugarcane and rice production.…”

Section: Resultsmentioning

confidence: 99%

Human health risk assessment of PM2.5-bound heavy metal of anthropogenic sources in the Khon Kaen Province of Northeast Thailand

Sakunkoo

Thonglua

Sangkham

et al. 2022

Heliyon

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Section: Resultsmentioning

confidence: 99%

Human health risk assessment of PM2.5-bound heavy metal of anthropogenic sources in the Khon Kaen Province of Northeast Thailand

Sakunkoo

Thonglua

Sangkham

et al. 2022

Heliyon

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“…Earlier studies in the Shaanxi basin clarified that sediments were mainly polluted by Cd in the Weihe River [1,77]. Major contents of metals were generated by an anthropogenic effect [81].…”

Section: Discussionmentioning

confidence: 99%

Contamination Level, Ecological Risk, and Source Identification of Heavy Metals in the Hyporheic Zone of the Weihe River, China

Ahamad

Song

Sun

et al. 2020

IJERPH

105

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The sediment pollution caused by different metals has attracted a great deal of attention because of the toxicity, persistence, and bio-accumulation. This study focuses on heavy metals in the hyporheic sediment of the Weihe River, China. Contamination levels of metals were examined by using “geo-accumulation index, enrichment factor, and contamination factor” while ecological risk of metals were determined by “potential ecological risk and risk index”. The pollutant accumulation of metals ranked as follows: “manganese (Mn) > chromium (Cr) > zinc (Zn) > copper (Cu) > nickel (Ni) > arsenic (As) > lead (Pb)”. The geo-accumulation index identified arsenic as class 1 (uncontaminated to moderate contamination), whereas Cu, Cr, Ni, Zn, Pb, and Mn were classified as class 0 (uncontaminated). According to the enrichment factor, arsenic originated through anthropogenic activities and Cr, Ni, Cu, Zn, and Pb were mainly controlled by natural sources. The contamination factor elucidated that sediments were moderately polluted by (As, Cr, Cu, Zn, Mn, and Pb), whereas Ni slightly contaminated the sediments of the Weihe River. All metals posed a low ecological risk in the study area. The risk index revealed that contribution of arsenic (53.43 %) was higher than half of the total risk.

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“…( Bikkina et al., 2019 ; Dumka et al., 2018 ). BC/Particulate Matter (PM) also has detrimental effects on visibility, air quality, agricultural productivity, ecosystem, human health, and exacerbates global warming ( Goel et al., 2018a , Gong et al., 2016 , Hazarika et al., 2017 , Hazarika et al., 2019 , Reddington et al., 2013 ). The deposition of BC particles over glaciers contributes to their premature thawing and fragmentation as it produces the albedo effect that accelerates snow melting ( Menon et al., 2010 ; Zhang et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Variations in Black Carbon concentration and sources during COVID-19 lockdown in Delhi

et al. 2021

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A nationwide lockdown was imposed in India due to COVID-19 pandemic in five phases from 25th March to May 31, 2020. The lockdown restricted major anthropogenic activities, primarily vehicular and industrial, thereby reducing the particulate matter concentration. This work investigates the variation in Black Carbon (BC) concentration and its sources (primarily Fossil Fuel (ff) burning and Biomass Burning (bb)) over Delhi from 18th February to July 31, 2020, covering one month of pre-lockdown phase, all the lockdown phases, and two months of successive lockdown relaxations. The daily average BC concentration varied from 0.22 to 16.92 μg/m 3 , with a mean value of 3.62 ± 2.93 μg/m 3 . During Pre-Lockdown (PL, 18th Feb-24th March 2020), Lockdown-1 (L1, 25th March-14th April 2020), Lockdown-2 (L2, 15th April-3rd May 2020), Lockdown-3 (L3, 4th-17th May 2020), Lockdown-4 (L4, 18th-31st May 2020), Unlock-1 (UN1, June 2020), and Unlock-2 (UN2, July 2020) the average BC concentrations were 7.93, 1.73, 2.59, 3.76, 3.26, 2.07, and 2.70 μg/m 3 , respectively. During the lockdown and unlock phases, BC decreased up to 78% compared to the PL period. The BC source apportionment studies show that fossil fuel burning was the dominant BC source during the entire sampling period. From L1 to UN2 an increasing trend in BC ff contribution was observed (except L3) due to the successive relaxations given to anthropogenic activities. BC ff contribution dipped briefly during L3 due to the intensive crop residue burning events in neighboring states. CWT analysis showed that local emission sources were the dominant contributors to BC concentration over Delhi.

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Quantification of particle bound metallic load and PAHs in urban environment of Delhi, India: Source and toxicity assessment

Cited by 32 publications

References 57 publications

Human health risk assessment of PM2.5-bound heavy metal of anthropogenic sources in the Khon Kaen Province of Northeast Thailand

Human health risk assessment of PM2.5-bound heavy metal of anthropogenic sources in the Khon Kaen Province of Northeast Thailand

Contamination Level, Ecological Risk, and Source Identification of Heavy Metals in the Hyporheic Zone of the Weihe River, China

Variations in Black Carbon concentration and sources during COVID-19 lockdown in Delhi

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