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

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)...

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Bibliographic Details
Published inInternational journal of environmental studies Vol. 81; no. 4; pp. 1501 - 1511
Main Authors Morillo, M. Carmen, Martínez-Cuevas, Sandra, García-Aranda, César, Molina, Iñigo, Querol, J. Javier, Martínez, Estibaliz
Format Journal Article
LanguageEnglish
Published New York Routledge 03.07.2024
Gordon and Breach Science Publishers
Subjects
Air pollution
Air pollution measurements
Bayesian analysis
interpolation
kriging
Mathematical models
Particulate emissions
Particulate matter
PM10
Pollution
spatial
Spatial analysis
Statistical models
statistics
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Summary: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.]
ISSN:0020-7233
1029-0400
DOI:10.1080/00207233.2022.2072585