Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.chemosphere.2018.04.049 http://hdl.handle.net/11449/164347 |
Resumo: | During coal surface mining, several activities such as drilling, blasting, loading, and transport produce large quantities of particulate matter (PM) that is directly emitted into the atmosphere. Occupational exposure to this PM has been associated with an increase of DNA damage, but there is a scarcity of data examining the impact of these industrial operations in cytogenetic endpoints frequency and cancer risk of potentially exposed surrounding populations. In this study, we used a Geographic Information Systems (GIS) approach and Inverse Distance Weighting (IDW) methods to perform a spatial and statistical analysis to explore whether exposure to PM2.5 and PM10 pollution, and additional factors, including the enrichment of the PM with inorganic elements, contribute to cytogenetic damage in residents living in proximity to an open-pit coal mining area. Results showed a spatial relationship between exposure to elevated concentrations of PM2.5, PK10 and micronuclei frequency in binucleated (MNBN) and mono nucleated (MNMONO) cells. Active pits, disposal, and storage areas could be identified as the possible emission sources of combustion elements. Mining activities were also correlated with increased concentrations of highly enriched elements like S, Cu and Cr in the atmosphere, corroborating its role in the inorganic elements pollution around coal mines. Elements enriched in the PM2.5 fraction contributed to increasing of MNBN but seems to be more related to increased MNMONO frequencies and DNA damage accumulated in vivo. The combined use of GIS and IDW methods could represent an important tool for monitoring potential cancer risk associated to dynamically distributed variables like the PM. (C) 2018 Elsevier Ltd. All rights reserved. |
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Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factorsCoal miningIDWGISParticulate matterMicronucleiDuring coal surface mining, several activities such as drilling, blasting, loading, and transport produce large quantities of particulate matter (PM) that is directly emitted into the atmosphere. Occupational exposure to this PM has been associated with an increase of DNA damage, but there is a scarcity of data examining the impact of these industrial operations in cytogenetic endpoints frequency and cancer risk of potentially exposed surrounding populations. In this study, we used a Geographic Information Systems (GIS) approach and Inverse Distance Weighting (IDW) methods to perform a spatial and statistical analysis to explore whether exposure to PM2.5 and PM10 pollution, and additional factors, including the enrichment of the PM with inorganic elements, contribute to cytogenetic damage in residents living in proximity to an open-pit coal mining area. Results showed a spatial relationship between exposure to elevated concentrations of PM2.5, PK10 and micronuclei frequency in binucleated (MNBN) and mono nucleated (MNMONO) cells. Active pits, disposal, and storage areas could be identified as the possible emission sources of combustion elements. Mining activities were also correlated with increased concentrations of highly enriched elements like S, Cu and Cr in the atmosphere, corroborating its role in the inorganic elements pollution around coal mines. Elements enriched in the PM2.5 fraction contributed to increasing of MNBN but seems to be more related to increased MNMONO frequencies and DNA damage accumulated in vivo. The combined use of GIS and IDW methods could represent an important tool for monitoring potential cancer risk associated to dynamically distributed variables like the PM. (C) 2018 Elsevier Ltd. All rights reserved.COLCIENCIAS/ColombiaUniversidad del Sinu/Colombia (UNISINU)Universidad del Cauca/Colombia (UNICAUCA)Universidad Luterana do Brasil (ULBRA)Universidade Federal do Rio Grande do Sul/Brasil (UFRGS)Univ Sinu, Lab Invest Biomed & Biol Mol, Fac Ciencias Salud, Calle 38 Cra 1 W,Barrio Juan XXIII, Cordoba, ColombiaUniv Fed Rio Grande do Sul, Inst Biociencias, Dept Biofis, Porto Alegre, RS, BrazilUniv Estadual Paulista Julio de Mezquita Filho, IPPRI, Praca S,108-3 Andar, Sao Paulo, BrazilUniv Cordoba, Dept Geog & Medio Ambiente, Cordoba, ColombiaUniv Sao Paulo, Inst Matemat & Estat, Sao Paulo, BrazilUniv Luterana Brasil, ULBRA, Lab Genet Toxicol, Canoas, RS, BrazilUniv Estadual Paulista Julio de Mezquita Filho, IPPRI, Praca S,108-3 Andar, Sao Paulo, BrazilCOLCIENCIAS/Colombia: 128356934353/2013Universidade Federal do Rio Grande do Sul/Brasil (UFRGS): 751/2013Elsevier B.V.Univ SinuUniv Fed Rio Grande do SulUniversidade Estadual Paulista (Unesp)Univ CordobaUniversidade de São Paulo (USP)Univ Luterana BrasilEspitia-Perez, LydaArteaga-Pertuz, Marcia [UNESP]Soto, Jose SalvadorEspitia-Perez, PedroSalcedo-Arteaga, ShirleyPastor-Sierra, KarinaGaleano-Paez, ClaudiaBrango, HugoSilva, Juliana daHenriques, Joao A. P.2018-11-26T17:52:13Z2018-11-26T17:52:13Z2018-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article203-216application/pdfhttp://dx.doi.org/10.1016/j.chemosphere.2018.04.049Chemosphere. Oxford: Pergamon-elsevier Science Ltd, v. 206, p. 203-216, 2018.0045-6535http://hdl.handle.net/11449/16434710.1016/j.chemosphere.2018.04.049WOS:000436215600025WOS000436215600025.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengChemosphere1,435info:eu-repo/semantics/openAccess2023-11-13T06:08:33Zoai:repositorio.unesp.br:11449/164347Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-13T06:08:33Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors |
title |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors |
spellingShingle |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors Espitia-Perez, Lyda Coal mining IDW GIS Particulate matter Micronuclei |
title_short |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors |
title_full |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors |
title_fullStr |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors |
title_full_unstemmed |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors |
title_sort |
Geospatial analysis of residential proximity to open-pit coal mining areas in relation to micronuclei frequency, particulate matter concentration, and elemental enrichment factors |
author |
Espitia-Perez, Lyda |
author_facet |
Espitia-Perez, Lyda Arteaga-Pertuz, Marcia [UNESP] Soto, Jose Salvador Espitia-Perez, Pedro Salcedo-Arteaga, Shirley Pastor-Sierra, Karina Galeano-Paez, Claudia Brango, Hugo Silva, Juliana da Henriques, Joao A. P. |
author_role |
author |
author2 |
Arteaga-Pertuz, Marcia [UNESP] Soto, Jose Salvador Espitia-Perez, Pedro Salcedo-Arteaga, Shirley Pastor-Sierra, Karina Galeano-Paez, Claudia Brango, Hugo Silva, Juliana da Henriques, Joao A. P. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Univ Sinu Univ Fed Rio Grande do Sul Universidade Estadual Paulista (Unesp) Univ Cordoba Universidade de São Paulo (USP) Univ Luterana Brasil |
dc.contributor.author.fl_str_mv |
Espitia-Perez, Lyda Arteaga-Pertuz, Marcia [UNESP] Soto, Jose Salvador Espitia-Perez, Pedro Salcedo-Arteaga, Shirley Pastor-Sierra, Karina Galeano-Paez, Claudia Brango, Hugo Silva, Juliana da Henriques, Joao A. P. |
dc.subject.por.fl_str_mv |
Coal mining IDW GIS Particulate matter Micronuclei |
topic |
Coal mining IDW GIS Particulate matter Micronuclei |
description |
During coal surface mining, several activities such as drilling, blasting, loading, and transport produce large quantities of particulate matter (PM) that is directly emitted into the atmosphere. Occupational exposure to this PM has been associated with an increase of DNA damage, but there is a scarcity of data examining the impact of these industrial operations in cytogenetic endpoints frequency and cancer risk of potentially exposed surrounding populations. In this study, we used a Geographic Information Systems (GIS) approach and Inverse Distance Weighting (IDW) methods to perform a spatial and statistical analysis to explore whether exposure to PM2.5 and PM10 pollution, and additional factors, including the enrichment of the PM with inorganic elements, contribute to cytogenetic damage in residents living in proximity to an open-pit coal mining area. Results showed a spatial relationship between exposure to elevated concentrations of PM2.5, PK10 and micronuclei frequency in binucleated (MNBN) and mono nucleated (MNMONO) cells. Active pits, disposal, and storage areas could be identified as the possible emission sources of combustion elements. Mining activities were also correlated with increased concentrations of highly enriched elements like S, Cu and Cr in the atmosphere, corroborating its role in the inorganic elements pollution around coal mines. Elements enriched in the PM2.5 fraction contributed to increasing of MNBN but seems to be more related to increased MNMONO frequencies and DNA damage accumulated in vivo. The combined use of GIS and IDW methods could represent an important tool for monitoring potential cancer risk associated to dynamically distributed variables like the PM. (C) 2018 Elsevier Ltd. All rights reserved. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-26T17:52:13Z 2018-11-26T17:52:13Z 2018-09-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.chemosphere.2018.04.049 Chemosphere. Oxford: Pergamon-elsevier Science Ltd, v. 206, p. 203-216, 2018. 0045-6535 http://hdl.handle.net/11449/164347 10.1016/j.chemosphere.2018.04.049 WOS:000436215600025 WOS000436215600025.pdf |
url |
http://dx.doi.org/10.1016/j.chemosphere.2018.04.049 http://hdl.handle.net/11449/164347 |
identifier_str_mv |
Chemosphere. Oxford: Pergamon-elsevier Science Ltd, v. 206, p. 203-216, 2018. 0045-6535 10.1016/j.chemosphere.2018.04.049 WOS:000436215600025 WOS000436215600025.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Chemosphere 1,435 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
203-216 application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803046455137533952 |