Literature DB >> 28063711

Fine particulates over South Asia: Review and meta-analysis of PM2.5 source apportionment through receptor model.

Nandita Singh1, Vishnu Murari1, Manish Kumar1, S C Barman2, Tirthankar Banerjee3.   

Abstract

Fine particulates (PM2.5) constitute dominant proportion of airborne particulates and have been often associated with human health disorders, changes in regional climate, hydrological cycle and more recently to food security. Intrinsic properties of particulates are direct function of sources. This initiates the necessity of conducting a comprehensive review on PM2.5 sources over South Asia which in turn may be valuable to develop strategies for emission control. Particulate source apportionment (SA) through receptor models is one of the existing tool to quantify contribution of particulate sources. Review of 51 SA studies were performed of which 48 (94%) were appeared within a span of 2007-2016. Almost half of SA studies (55%) were found concentrated over few typical urban stations (Delhi, Dhaka, Mumbai, Agra and Lahore). Due to lack of local particulate source profile and emission inventory, positive matrix factorization and principal component analysis (62% of studies) were the primary choices, followed by chemical mass balance (CMB, 18%). Metallic species were most regularly used as source tracers while use of organic molecular markers and gas-to-particle conversion were minimum. Among all the SA sites, vehicular emissions (mean ± sd: 37 ± 20%) emerged as most dominating PM2.5 source followed by industrial emissions (23 ± 16%), secondary aerosols (22 ± 12%) and natural sources (20 ± 15%). Vehicular emissions (39 ± 24%) also identified as dominating source for highly polluted sites (PM2.5>100 μgm-3, n = 15) while site specific influence of either or in combination of industrial, secondary aerosols and natural sources were recognized. Source specific trends were considerably varied in terms of region and seasonality. Both natural and industrial sources were most influential over Pakistan and Afghanistan while over Indo-Gangetic plain, vehicular, natural and industrial emissions appeared dominant. Influence of vehicular emission was found single dominating source over southern part while over Bangladesh, both vehicular, biomass burning and industrial sources were significant.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aerosol; Biomass burning; Indo-Gangetic plain; Receptor model; South Asia

Mesh:

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Year:  2017        PMID: 28063711     DOI: 10.1016/j.envpol.2016.12.071

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  5 in total

1.  Airborne particulate in Varanasi over middle Indo-Gangetic Plain: variation in particulate types and meteorological influences.

Authors:  Vishnu Murari; Manish Kumar; Alaa Mhawish; S C Barman; Tirthankar Banerjee
Journal:  Environ Monit Assess       Date:  2017-03-11       Impact factor: 2.513

2.  Trends on PM2.5 research, 1997-2016: a bibliometric study.

Authors:  Sheng Yang; Jing Sui; Tong Liu; Wenjuan Wu; Siyi Xu; Lihong Yin; Yuepu Pu; Xiaomei Zhang; Yan Zhang; Bo Shen; Geyu Liang
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-05       Impact factor: 4.223

3.  Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study.

Authors:  Saima Abdul Jabbar; Laila Tul Qadar; Sulaman Ghafoor; Lubna Rasheed; Zouina Sarfraz; Azza Sarfraz; Muzna Sarfraz; Miguel Felix; Ivan Cherrez-Ojeda
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

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

Authors:  Pornpun Sakunkoo; Theerachai Thonglua; Sarawut Sangkham; Chananya Jirapornkul; Yuparat Limmongkon; Sakda Daduang; Thanee Tessiri; Jetnapis Rayubkul; Sakesun Thongtip; Naowarat Maneenin; Sittichai Pimonsree
Journal:  Heliyon       Date:  2022-06-07

5.  Isovitexin Increases Stem Cell Properties and Protects Against PM2.5 in Keratinocytes.

Authors:  Verisa Chowjarean; Tassanee Prueksasit; Keerati Joyjamras; Pithi Chanvorachote
Journal:  In Vivo       Date:  2019 Nov-Dec       Impact factor: 2.155

  5 in total

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