Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions

This study uses spatiotemporal patterns in ambient concentrations to infer the contribution of regional versus local sources. We collected 12 months of monitoring data for outdoor fine particulate matter (PM2.5) in rural southern India. Rural India includes more than one-tenth of the global populati...

Descripción completa

Detalles Bibliográficos
Autores: Kumar, M. Kishore, Sreekanth, V., Salmon, Maëlle, Tonne, Cathryn, Marshall, Julian D.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/123528
Acceso en línea:https://hdl.handle.net/2445/123528
Access Level:acceso abierto
Palabra clave:Contaminació atmosfèrica
Índia
Atmospheric pollution
India
id ES_5c8356ea3dd29c65521e4888e09eba85
oai_identifier_str oai:diposit.ub.edu:2445/123528
network_acronym_str ES
network_name_str España
repository_id_str
spelling Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributionsKumar, M. KishoreSreekanth, V.Salmon, MaëlleTonne, CathrynMarshall, Julian D.Contaminació atmosfèricaÍndiaAtmospheric pollutionIndiaThis study uses spatiotemporal patterns in ambient concentrations to infer the contribution of regional versus local sources. We collected 12 months of monitoring data for outdoor fine particulate matter (PM2.5) in rural southern India. Rural India includes more than one-tenth of the global population and annually accounts for around half a million air pollution deaths, yet little is known about the relative contribution of local sources to outdoor air pollution. We measured 1-min averaged outdoor PM2.5 concentrations during June 2015-May 2016 in three villages, which varied in population size, socioeconomic status, and type and usage of domestic fuel. The daily geometric-mean PM2.5 concentration was approximately 30mugm(-3) (geometric standard deviation: approximately 1.5). Concentrations exceeded the Indian National Ambient Air Quality standards (60mugm(-3)) during 2-5% of observation days. Average concentrations were approximately 25mugm(-3) higher during winter than during monsoon and approximately 8mugm(-3) higher during morning hours than the diurnal average. A moving average subtraction method based on 1-min average PM2.5 concentrations indicated that local contributions (e.g., nearby biomass combustion, brick kilns) were greater in the most populated village, and that overall the majority of ambient PM2.5 in our study was regional, implying that local air pollution control strategies alone may have limited influence on local ambient concentrations. We compared the relatively new moving average subtraction method against a more established approach. Both methods broadly agree on the relative contribution of local sources across the three sites. The moving average subtraction method has broad applicability across locations.Elsevier2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/123528Articles publicats en revistes (ISGlobal)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: http://dx.doi.org/10.1016/j.envpol.2018.04.057Environmental Pollution, 2018, vol. 239, p. 803-811http://dx.doi.org/10.1016/j.envpol.2018.04.057info:eu-repo/grantAgreement/EC/FP7/336167cc by (c) Kumar et al., 2018http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1235282026-05-27T06:46:51Z
dc.title.none.fl_str_mv Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
title Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
spellingShingle Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
Kumar, M. Kishore
Contaminació atmosfèrica
Índia
Atmospheric pollution
India
title_short Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
title_full Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
title_fullStr Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
title_full_unstemmed Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
title_sort Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions
dc.creator.none.fl_str_mv Kumar, M. Kishore
Sreekanth, V.
Salmon, Maëlle
Tonne, Cathryn
Marshall, Julian D.
author Kumar, M. Kishore
author_facet Kumar, M. Kishore
Sreekanth, V.
Salmon, Maëlle
Tonne, Cathryn
Marshall, Julian D.
author_role author
author2 Sreekanth, V.
Salmon, Maëlle
Tonne, Cathryn
Marshall, Julian D.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Contaminació atmosfèrica
Índia
Atmospheric pollution
India
topic Contaminació atmosfèrica
Índia
Atmospheric pollution
India
description This study uses spatiotemporal patterns in ambient concentrations to infer the contribution of regional versus local sources. We collected 12 months of monitoring data for outdoor fine particulate matter (PM2.5) in rural southern India. Rural India includes more than one-tenth of the global population and annually accounts for around half a million air pollution deaths, yet little is known about the relative contribution of local sources to outdoor air pollution. We measured 1-min averaged outdoor PM2.5 concentrations during June 2015-May 2016 in three villages, which varied in population size, socioeconomic status, and type and usage of domestic fuel. The daily geometric-mean PM2.5 concentration was approximately 30mugm(-3) (geometric standard deviation: approximately 1.5). Concentrations exceeded the Indian National Ambient Air Quality standards (60mugm(-3)) during 2-5% of observation days. Average concentrations were approximately 25mugm(-3) higher during winter than during monsoon and approximately 8mugm(-3) higher during morning hours than the diurnal average. A moving average subtraction method based on 1-min average PM2.5 concentrations indicated that local contributions (e.g., nearby biomass combustion, brick kilns) were greater in the most populated village, and that overall the majority of ambient PM2.5 in our study was regional, implying that local air pollution control strategies alone may have limited influence on local ambient concentrations. We compared the relatively new moving average subtraction method against a more established approach. Both methods broadly agree on the relative contribution of local sources across the three sites. The moving average subtraction method has broad applicability across locations.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/123528
url https://hdl.handle.net/2445/123528
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: http://dx.doi.org/10.1016/j.envpol.2018.04.057
Environmental Pollution, 2018, vol. 239, p. 803-811
http://dx.doi.org/10.1016/j.envpol.2018.04.057
info:eu-repo/grantAgreement/EC/FP7/336167
dc.rights.none.fl_str_mv cc by (c) Kumar et al., 2018
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by (c) Kumar et al., 2018
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Articles publicats en revistes (ISGlobal)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869408919477026817
score 15,301603

Similares en LA Referencia