Identifying air pollution source impacts in urban communities using mobile monitoring.

Black carbon Mobile monitoring NO(2) Near-source Particulate matter Rail yard Traffic Ultrafine PM

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 May 2020
Historique:
received: 03 09 2019
revised: 17 01 2020
accepted: 26 01 2020
pubmed: 12 2 2020
medline: 12 2 2020
entrez: 12 2 2020
Statut: ppublish

Résumé

With increasing population, rapid urbanization, and increased migration to cities, the local impacts of increasing transportation and industrial-related air pollution are of growing concern worldwide. Elevated air pollution concentrations near these types of sources have been linked to adverse health effects including acute and chronic respiratory and cardiovascular diseases. Mobile monitoring has proven to be a useful technique to characterize spatial variability of air pollution in urban areas and pollution concentration gradients from specific sources. A study was conducted in the Kansas City, Kansas (USA) metropolitan area using mobile monitoring to characterize the spatial variability and gradients of air pollutants to identify the contribution of multiple sources on community-level air quality in a complex urban environment. Measurements focused on nitrogen dioxide (NO

Identifiants

pubmed: 32041053
pii: S0048-9697(20)30489-7
doi: 10.1016/j.scitotenv.2020.136979
pmc: PMC7882077
mid: NIHMS1665965
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

136979

Subventions

Organisme : EPA
ID : EP-C-15-008
Pays : United States
Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Parikshit Deshmukh (P)

Jacobs Technology Inc., 109 TW Alexander Dr., RTP, NC 27711, USA. Electronic address: Parikshit.Deshmukh@jacobs.com.

Sue Kimbrough (S)

U.S. Environmental Protection Agency, Office of Research and Development, 109 TW Alexander Dr., RTP, NC 27711, USA. Electronic address: Kimbrough.sue@epa.gov.

Stephen Krabbe (S)

U.S. Environmental Protection Agency, Region 7, 300 Minnesota Ave., Kansas City, KS 66101, USA. Electronic address: Krabbe.stephen@epa.gov.

Russell Logan (R)

Jacobs Technology Inc., 109 TW Alexander Dr., RTP, NC 27711, USA. Electronic address: Russell.Logan@jacobs.com.

Vlad Isakov (V)

U.S. Environmental Protection Agency, Office of Research and Development, 109 TW Alexander Dr., RTP, NC 27711, USA. Electronic address: Isakov.vlad@epa.gov.

Richard Baldauf (R)

U.S. Environmental Protection Agency, Office of Research and Development, 109 TW Alexander Dr., RTP, NC 27711, USA; U.S. Environmental Protection Agency, Office of Transportation and Air Quality, National Vehicle and Fuels Emissions Laboratory, 2000 Traverwood Dr., Ann Arbor, MI 48105, USA. Electronic address: Baldauf.richard@epa.gov.

Classifications MeSH