Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas

Mosspheres are a kind of moss transplants which offer a novel approach for detecting atmospheric pollution using devitalized mosses, as they reflect the atmospheric deposition of certain elements and polycyclic hydrocarbons. However, due to the unique features of the mosspheres such as the low eleme...

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Autores: Vázquez Arias, Antón, Giráldez Suárez, Pablo, Martínez Abaigar, Javier, Núñez Olivera, Encarnación, Aboal Viñas, Jesús, Fernández Escribano, José Ángel
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Santiago de Compostela (USC)
Repositorio:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Idioma:inglés
OAI Identifier:oai:minerva.usc.gal:10347/33828
Acceso en línea:http://hdl.handle.net/10347/33828
Access Level:acceso abierto
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spelling Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areasVázquez Arias, AntónGiráldez Suárez, PabloMartínez Abaigar, JavierNúñez Olivera, EncarnaciónAboal Viñas, JesúsFernández Escribano, José ÁngelMosspheres are a kind of moss transplants which offer a novel approach for detecting atmospheric pollution using devitalized mosses, as they reflect the atmospheric deposition of certain elements and polycyclic hydrocarbons. However, due to the unique features of the mosspheres such as the low elemental concentrations in the cultured material, the data treatment needs to be different from that of conventional biomonitoring studies. In this article, our objectives are to identify the best parameter for expressing the levels of chemical elements accumulated by mosspheres, and to apply a recently developed method to assess the probability of pollution of each sample and of the study area. To do this, we used data from a study in which 81 mosspheres were exposed in a medium-sized city in southwestern Europe. Comparing different pollution indices, we selected the enrichment rate (ER) as the most useful, as it is resilient to fluctuations in the initial concentrations and takes into account the time factor, allowing for greater comparability among studies. Then, we determined that the statistical distribution of the ERs of most elements fitted a normal distribution, showing that most samples did not differ significantly from the background concentrations for these elements. On the other hand, for Ni, Pb and Zn there was a subpopulation of samples above background values. In these cases, we determined the probability of pollution of each sample. Finally, we used indicator kriging to calculate the probability of pollution across the study area, identifying the polluted areas, which for some elements match the distribution of the main industries and highways, indicating that this is a suitable protocol to map elemental pollution in urban areas.ElsevierUniversidade de Santiago de Compostela. Departamento de Bioloxía FuncionalUniversidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS)20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10347/33828reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/338282026-06-15T12:47:27Z
dc.title.none.fl_str_mv Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
title Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
spellingShingle Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
Vázquez Arias, Antón
title_short Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
title_full Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
title_fullStr Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
title_full_unstemmed Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
title_sort Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas
dc.creator.none.fl_str_mv Vázquez Arias, Antón
Giráldez Suárez, Pablo
Martínez Abaigar, Javier
Núñez Olivera, Encarnación
Aboal Viñas, Jesús
Fernández Escribano, José Ángel
author Vázquez Arias, Antón
author_facet Vázquez Arias, Antón
Giráldez Suárez, Pablo
Martínez Abaigar, Javier
Núñez Olivera, Encarnación
Aboal Viñas, Jesús
Fernández Escribano, José Ángel
author_role author
author2 Giráldez Suárez, Pablo
Martínez Abaigar, Javier
Núñez Olivera, Encarnación
Aboal Viñas, Jesús
Fernández Escribano, José Ángel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de Santiago de Compostela. Departamento de Bioloxía Funcional
Universidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS)
description Mosspheres are a kind of moss transplants which offer a novel approach for detecting atmospheric pollution using devitalized mosses, as they reflect the atmospheric deposition of certain elements and polycyclic hydrocarbons. However, due to the unique features of the mosspheres such as the low elemental concentrations in the cultured material, the data treatment needs to be different from that of conventional biomonitoring studies. In this article, our objectives are to identify the best parameter for expressing the levels of chemical elements accumulated by mosspheres, and to apply a recently developed method to assess the probability of pollution of each sample and of the study area. To do this, we used data from a study in which 81 mosspheres were exposed in a medium-sized city in southwestern Europe. Comparing different pollution indices, we selected the enrichment rate (ER) as the most useful, as it is resilient to fluctuations in the initial concentrations and takes into account the time factor, allowing for greater comparability among studies. Then, we determined that the statistical distribution of the ERs of most elements fitted a normal distribution, showing that most samples did not differ significantly from the background concentrations for these elements. On the other hand, for Ni, Pb and Zn there was a subpopulation of samples above background values. In these cases, we determined the probability of pollution of each sample. Finally, we used indicator kriging to calculate the probability of pollution across the study area, identifying the polluted areas, which for some elements match the distribution of the main industries and highways, indicating that this is a suitable protocol to map elemental pollution in urban areas.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
2024
2024-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10347/33828
url http://hdl.handle.net/10347/33828
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
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 reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname:Universidad de Santiago de Compostela (USC)
instname_str Universidad de Santiago de Compostela (USC)
reponame_str Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
collection Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
repository.name.fl_str_mv
repository.mail.fl_str_mv
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