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Large global variations in measured airborne metal concentrations driven by anthropogenic sources

Authors :
Jacob McNeill
Graydon Snider
Crystal L. Weagle
Brenna Walsh
Paul Bissonnette
Emily Stone
Ihab Abboud
Clement Akoshile
Nguyen Xuan Anh
Rajasekhar Balasubramanian
Jeffrey R. Brook
Craig Coburn
Aaron Cohen
Jinlu Dong
Graham Gagnon
Rebecca M. Garland
Kebin He
Brent N. Holben
Ralph Kahn
Jong Sung Kim
Nofel Lagrosas
Puji Lestari
Yang Liu
Farah Jeba
Khaled Shaifullah Joy
J. Vanderlei Martins
Amit Misra
Leslie K. Norford
Eduardo J. Quel
Abdus Salam
Bret Schichtel
S. N. Tripathi
Chien Wang
Qiang Zhang
Michael Brauer
Mark D. Gibson
Yinon Rudich
Randall V. Martin
Source :
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

Abstract Globally consistent measurements of airborne metal concentrations in fine particulate matter (PM2.5) are important for understanding potential health impacts, prioritizing air pollution mitigation strategies, and enabling global chemical transport model development. PM2.5 filter samples (N ~ 800 from 19 locations) collected from a globally distributed surface particulate matter sampling network (SPARTAN) between January 2013 and April 2019 were analyzed for particulate mass and trace metals content. Metal concentrations exhibited pronounced spatial variation, primarily driven by anthropogenic activities. PM2.5 levels of lead, arsenic, chromium, and zinc were significantly enriched at some locations by factors of 100–3000 compared to crustal concentrations. Levels of metals in PM2.5 and PM10 exceeded health guidelines at multiple sites. For example, Dhaka and Kanpur sites exceeded the US National Ambient Air 3-month Quality Standard for lead (150 ng m−3). Kanpur, Hanoi, Beijing and Dhaka sites had annual mean arsenic concentrations that approached or exceeded the World Health Organization’s risk level for arsenic (6.6 ng m−3). The high concentrations of several potentially harmful metals in densely populated cites worldwide motivates expanded measurements and analyses.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.094d47666bf4b32bb98b1e283fc6126
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-020-78789-y