Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain
This study focuses on the analysis of the distribution, both spatial and temporal, of the PM10 (particulate matter with a diameter of 10 m or less) concentrations recorded in nine EMEP (European Monitoring and Evaluation Programme) background stations distributed throughout mainland Spain between 20...
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | Universidad de Cantabria (UC) |
| Repositorio: | UCrea Repositorio Abierto de la Universidad de Cantabria |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unican.es:10902/28613 |
| Acesso em linha: | https://hdl.handle.net/10902/28613 |
| Access Level: | acceso abierto |
| Palavra-chave: | Atmospheric pollution EMEP PM10 Trends Weather types |
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Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in SpainPardo, NuriaSainz Villegas, SamuelCalvo, Ana I.Blanco Alegre, CarlosFraile, RobertoAtmospheric pollutionEMEPPM10TrendsWeather typesThis study focuses on the analysis of the distribution, both spatial and temporal, of the PM10 (particulate matter with a diameter of 10 m or less) concentrations recorded in nine EMEP (European Monitoring and Evaluation Programme) background stations distributed throughout mainland Spain between 2001 and 2019. A study of hierarchical clusters was used to classify the stations into three main groups with similarities in yearly concentrations: GC (coastal location), GNC (north-central location), and GSE (southeastern location). The highest PM10 concentrations were registered in summer. Annual evolution showed statistically significant decreasing trends in PM10 concentration in all the stations covering a range from -0.21 to -0.50 μg m-3/year for Barcarrota and Víznar, respectively. Through the Lamb classification, the weather types were defined during the study period, and those associated with high levels of pollution were identified. Finally, the values exceeding the limits established by the legislation were analyzed for every station assessed in the study.This work was partially supported by the Junta de Castilla y Leon (Grant LE025P20) and by the AEROHEALTH and C3HEALTH projects (Ministry of Science and Innovation, Grants PID2019-106164RBI00 and TED2021-132292B-I00). The study was also cofinanced with FEDER funds.MDPIUniversidad de Cantabria20232023-02-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/28613International Journal of Environmental Research and Public Health, 20 (4), 2977reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/286132026-06-02T12:39:31Z |
| dc.title.none.fl_str_mv |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain |
| title |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain |
| spellingShingle |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain Pardo, Nuria Atmospheric pollution EMEP PM10 Trends Weather types |
| title_short |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain |
| title_full |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain |
| title_fullStr |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain |
| title_full_unstemmed |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain |
| title_sort |
Connection between weather types and air pollution levels: a 19-year study in nine EMEP stations in Spain |
| dc.creator.none.fl_str_mv |
Pardo, Nuria Sainz Villegas, Samuel Calvo, Ana I. Blanco Alegre, Carlos Fraile, Roberto |
| author |
Pardo, Nuria |
| author_facet |
Pardo, Nuria Sainz Villegas, Samuel Calvo, Ana I. Blanco Alegre, Carlos Fraile, Roberto |
| author_role |
author |
| author2 |
Sainz Villegas, Samuel Calvo, Ana I. Blanco Alegre, Carlos Fraile, Roberto |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Universidad de Cantabria |
| dc.subject.none.fl_str_mv |
Atmospheric pollution EMEP PM10 Trends Weather types |
| topic |
Atmospheric pollution EMEP PM10 Trends Weather types |
| description |
This study focuses on the analysis of the distribution, both spatial and temporal, of the PM10 (particulate matter with a diameter of 10 m or less) concentrations recorded in nine EMEP (European Monitoring and Evaluation Programme) background stations distributed throughout mainland Spain between 2001 and 2019. A study of hierarchical clusters was used to classify the stations into three main groups with similarities in yearly concentrations: GC (coastal location), GNC (north-central location), and GSE (southeastern location). The highest PM10 concentrations were registered in summer. Annual evolution showed statistically significant decreasing trends in PM10 concentration in all the stations covering a range from -0.21 to -0.50 μg m-3/year for Barcarrota and Víznar, respectively. Through the Lamb classification, the weather types were defined during the study period, and those associated with high levels of pollution were identified. Finally, the values exceeding the limits established by the legislation were analyzed for every station assessed in the study. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2023-02-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 NA http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10902/28613 |
| url |
https://hdl.handle.net/10902/28613 |
| 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 4.0 International http://creativecommons.org/licenses/by/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 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
MDPI |
| publisher.none.fl_str_mv |
MDPI |
| dc.source.none.fl_str_mv |
International Journal of Environmental Research and Public Health, 20 (4), 2977 reponame:UCrea Repositorio Abierto de la Universidad de Cantabria instname:Universidad de Cantabria (UC) |
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Universidad de Cantabria (UC) |
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UCrea Repositorio Abierto de la Universidad de Cantabria |
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UCrea Repositorio Abierto de la Universidad de Cantabria |
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1869410948077322240 |
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15,301603 |