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ORCID: https://orcid.org/0000-0002-0788-8394, Martínez Cuevas, Sandra
ORCID: https://orcid.org/0000-0002-2150-3251, García Aranda, César
ORCID: https://orcid.org/0000-0003-4502-720X, Molina Sánchez, Íñigo
ORCID: https://orcid.org/0000-0002-6223-6874, Querol Pascual, Jose Javier and Martínez Izquierdo, María Estíbaliz
ORCID: https://orcid.org/0000-0003-0296-6151
(2024).
Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain): spatial interpolation comparisons and results.
"International Journal of Environmental Studies", v. 81
(n. 4);
pp. 1501-1511.
ISSN 10290400.
https://doi.org/10.1080/00207233.2022.2072585.
| Título: | Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain): spatial interpolation comparisons and results |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | International Journal of Environmental Studies |
| Fecha: | 1 Enero 2024 |
| ISSN: | 10290400 |
| Volumen: | 81 |
| Número: | 4 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Interpolation; Kriging; Pm10; Pollution; Spatial; Statistics |
| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Arquitectura y Tecnología de Sistemas Informáticos |
| Licencias Creative Commons: | Ninguna |
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PDF (Portable Document Format)
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This paper reports a comparison of different spatial and statistical models to predict the concentrations of the particulate matter (PM10), measured by the environmental stations of the Community of Madrid (Spain). Three methods were compared: Inverse Distance Weighting (IDW), Ordinary Kriging (OK) and Empirical Bayesian Kriging (EBK). The most accurate spatial interpolation method was the EBK. An interpolation map obtained by applying the EBK geostatistical method is presented to identify the areas with the highest pollution of PM10.].
| ID de Registro: | 92847 |
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| Identificador DC: | https://oa.upm.es/92847/ |
| Identificador OAI: | oai:oa.upm.es:92847 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/9931378 |
| Identificador DOI: | 10.1080/00207233.2022.2072585 |
| URL Oficial: | https://api.elsevier.com/content/abstract/scopus_i... |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 14 Ene 2026 13:29 |
| Ultima Modificación: | 14 Ene 2026 13:29 |
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