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  1. Article: Metals in coarse ambient aerosol as markers for source apportionment and their health risk assessment over an eastern coastal urban atmosphere in India

    Panda, Upasana / Boopathy, R / Gadhavi, H. S / Renuka, K / Gunthe, Sachin S / Das, Trupti

    Environmental monitoring and assessment. 2021 May, v. 193, no. 5

    2021  

    Abstract: Ambient PM₁₀ (particulate matter with aerodynamic diameter ≤ 10 µm) samples were collected and characterized from July 2012 to August 2013 with the objective to evaluate the variation in elemental concentration and use the same as markers for source ... ...

    Abstract Ambient PM₁₀ (particulate matter with aerodynamic diameter ≤ 10 µm) samples were collected and characterized from July 2012 to August 2013 with the objective to evaluate the variation in elemental concentration and use the same as markers for source apportionment and health risk assessment for the first time over Bhubaneswar, India. The yearly average mass of PM₁₀ was 82.28 µg/m³, which was ~ 37% higher than the national ambient air quality (NAAQ) standards. Maximum PM₁₀ concentration was observed during winter season followed by post-monsoon, pre-monsoon, and monsoon months. Acid soluble components in the PM₁₀ samples were analyzed using ICP-OES (inductive coupled plasma optical emission spectroscopy), and 19 different elements including heavy metals were determined. Enrichment factor analysis attributed the source to either crustal or non-crustal origin. Principal component analysis (PCA) revealed that crustal sources, industrial activities, and vehicular emissions were significant contributors to PM mass. The contribution of total average elemental concentration showed a seasonal variation with the lowest (11.96 µg/m³) and highest (17.77 µg/m³) during monsoon and winter, respectively, which is relatively less significant than the variation in total PM₁₀ mass that ranged between 48.43 µg/m³ in monsoon and 138.24 µg/m³ during the winter season. This observation evidences the predominant contribution of local/regional emission sources to the metallic components in coarse PM₁₀ mass, which is corroborated by the wind pattern studies carried out using polar plots and a Lagrangian Particle Dispersion Model (LPDM) FLEXPART. Further, carcinogenic and non-carcinogenic health risk assessments of the measured elements that find their way into the human body through different exposure pathways have been calculated using United State Environmental Protection Agency (USEPA) standards. The carcinogenic risk of most of the elements was insignificant. The potential risk assessment study revealed that regular exposure to heavy metals through the ingestion pathway caused detrimental health effects. These effects were observed to be more severe in children in comparison to adults.
    Keywords United States Environmental Protection Agency ; aerodynamics ; aerosols ; air quality ; carcinogenicity ; environmental protection ; factor analysis ; health effects assessments ; humans ; models ; monsoon season ; particulates ; principal component analysis ; risk ; risk assessment ; seasonal variation ; spectroscopy ; wind ; winter ; India
    Language English
    Dates of publication 2021-05
    Size p. 311.
    Publishing place Springer International Publishing
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-021-09057-3
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Metals in coarse ambient aerosol as markers for source apportionment and their health risk assessment over an eastern coastal urban atmosphere in India.

    Panda, Upasana / Boopathy, R / Gadhavi, H S / Renuka, K / Gunthe, Sachin S / Das, Trupti

    Environmental monitoring and assessment

    2021  Volume 193, Issue 5, Page(s) 311

    Abstract: ... Ambient ... ...

    Abstract Ambient PM
    MeSH term(s) Adult ; Aerosols/analysis ; Air Pollutants/analysis ; Child ; Environmental Monitoring ; Humans ; India ; Particle Size ; Particulate Matter/analysis ; Risk Assessment ; Seasons
    Chemical Substances Aerosols ; Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2021-04-29
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-021-09057-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Evaluation of black carbon emission inventories using a Lagrangian dispersion model – a case study over southern India

    Gadhavi, H. S. / Renuka, K. / Ravi Kiran, V. / Jayaraman, A. / Stohl, A. / Klimont, Z. / Beig, G.

    eISSN: 1680-7324

    2015  

    Abstract: We evaluated three emission inventories of black carbon (BC) using Lagrangian particle dispersion model simulations and BC observations from a rural site in southern India (Gadanki; 13.48° N, 79.18° E) from 2008 to 2012. We found that 93 to 95% of the BC ...

    Abstract We evaluated three emission inventories of black carbon (BC) using Lagrangian particle dispersion model simulations and BC observations from a rural site in southern India (Gadanki; 13.48° N, 79.18° E) from 2008 to 2012. We found that 93 to 95% of the BC load at the observation site originated from emissions in India and the rest from the neighbouring countries and shipping. A substantial fraction (33 to 43%) of the BC was transported from northern India. Wet deposition is found to play a minor role in reducing BC mass at the site because of its proximity to BC sources during rainy season and relatively short rainy season over western and northern parts of India. Seasonally, the highest BC concentration (approx. 3.3 μg m −3 ) is observed during winter, followed by spring (approx. 2.8 μg m −3 ). While the model reproduced well the seasonal cycle, the modelled BC concentrations are significantly lower than observed values, especially in spring. The model bias is correlated to fire radiative power – a proxy of open biomass burning activity. Using potential emission sensitivity maps derived using the model, we suggest that underestimation of BC mass in the model during spring is due to the underestimation of BC fluxes over southern India (possibly from open-biomass-burning/forest-fires). The overall performance of the model simulations using three different emission inventories (SAFAR-India, ECLIPSE and RETRO) is similar, with ECLIPSE and SAFAR-India performing marginally better as both have about 30% higher emissions for India than RETRO. The ratio of observed to modelled annual mean BC concentration was estimated as 1.5 for SAFAR, 1.7 for ECLIPSE and 2.4 for RETRO.
    Subject code 333
    Language English
    Publishing date 2015-02-10
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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