Source apportionment, identification and characterization, and emission inventory of ambient particulate matter in 22 Eastern Mediterranean Region countries: A systematic review and recommendations for good practice

Faridi, Sasan, Yousefian, Fatemeh, Roostaei, Vahid, Harrison, Roy M., Azimi, Faramarz, , Naddafi, Kazem, Momeniha, Fatemeh, Malkawi, Mazen, Moh'd Safi, Heba Adel, Rad, Mona Khaleghy, & Hassanvand, Mohammad Sadegh (2022) Source apportionment, identification and characterization, and emission inventory of ambient particulate matter in 22 Eastern Mediterranean Region countries: A systematic review and recommendations for good practice. Environmental Pollution, 310, Article number: 119889.

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Description

Little is known about the main sources of ambient particulate matter (PM) in the 22 Eastern Mediterranean Region (EMR) countries. We designed this study to systematically review all published and unpublished source apportionment (SA), identification and characterization studies as well as emission inventories in the EMR. Of 440 articles identified, 82 (11 emission inventory ones) met our inclusion criteria for final analyses. Of 22 EMR countries, Iran with 30 articles had the highest number of studies on source specific PM followed by Pakistan (n = 15 articles) and Saudi Arabia (n = 8 papers). By contrast, there were no studies in Afghanistan, Bahrain, Djibouti, Libya, Somalia, Sudan, Syria, Tunisia, United Arab Emirates and Yemen. Approximately 72% of studies (51) were published within a span of 2015–2021.48 studies identified the sources of PM2.5 and its constituents. Positive matrix factorization (PMF), principal component analysis (PCA) and chemical mass balance (CMB) were the most common approaches to identify the source contributions of ambient PM. Both secondary aerosols and dust, with 12–51% and 8–80% (33% and 30% for all EMR countries, on average) had the greatest contributions in ambient PM2.5. The remaining sources for ambient PM2.5, including mixed sources (traffic, industry and residential (TIR)), traffic, industries, biomass burning, and sea salt were in the range of approximately 4–69%, 4–49%, 1–53%, 7–25% and 3–29%, respectively. For PM10, the most dominant source was dust with 7–95% (49% for all EMR countries, on average). The limited number of SA studies in the EMR countries (one study per approximately 9.6 million people) in comparison to Europe and North America (1 study per 4.3 and 2.1 million people respectively) can be augmented by future studies that will provide a better understanding of emission sources in the urban environment.

Impact and interest:

14 citations in Scopus
5 citations in Web of Science®
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ID Code: 236416
Item Type: Contribution to Journal (Review article)
Refereed: Yes
ORCID iD:
Niazi, Sadeghorcid.org/0000-0001-8150-2106
Additional Information: Acknowledgments: This study was financially supported by Environmental Health Exposures Centre for Environmental Health Action (CEHA) , World Health Organization (WHO) Regional Office for the Eastern Mediterranean, Jordan (grant number: 202778822 ).
Measurements or Duration: 13 pages
Keywords: Eastern Mediterranean Region, Particulate Matter, PM, Source Apportionment
DOI: 10.1016/j.envpol.2022.119889
ISSN: 0269-7491
Pure ID: 117796452
Divisions: Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Earth & Atmospheric Sciences
Funding Information: This study was financially supported by Environmental Health Exposures Centre for Environmental Health Action (CEHA) , World Health Organization (WHO) Regional Office for the Eastern Mediterranean, Jordan (grant number: 202778822 ).
Copyright Owner: 2022 Elsevier Ltd.
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Deposited On: 22 Nov 2022 00:18
Last Modified: 26 Jul 2024 12:22