Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain): spatial interpolation comparisons and results

Morillo Balsera, M Del Carmen 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.

Descripción

Título: Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain): spatial interpolation comparisons and results
Autor/es:
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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Resumen

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.].

Más información

ID de Registro: 92847
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...
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Depositado el: 14 Ene 2026 13:29
Ultima Modificación: 14 Ene 2026 13:29