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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| Title: | 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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| Authors: | Morillo, M. Carmen1 (AUTHOR) mariadelcarmen.morillo@upm.es, Martínez-Cuevas, Sandra1 (AUTHOR), García-Aranda, César1 (AUTHOR), Molina, Iñigo1 (AUTHOR), Querol, J. Javier1 (AUTHOR), Martínez, Estibaliz2 (AUTHOR) |
| Source: | International Journal of Environmental Studies. Aug2024, Vol. 81 Issue 4, p1501-1511. 11p. |
| Subjects: | Particulate matter, Statistical models, Interpolation, Kriging, Pollution, Geological statistics |
| Abstract: | 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.] [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Environmental Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 178714346 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain): spatial interpolation comparisons and results. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Morillo%2C+M%2E+Carmen%22">Morillo, M. Carmen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mariadelcarmen.morillo@upm.es</i><br /><searchLink fieldCode="AR" term="%22Martínez-Cuevas%2C+Sandra%22">Martínez-Cuevas, Sandra</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22García-Aranda%2C+César%22">García-Aranda, César</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Molina%2C+Iñigo%22">Molina, Iñigo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Querol%2C+J%2E+Javier%22">Querol, J. Javier</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martínez%2C+Estibaliz%22">Martínez, Estibaliz</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Environmental+Studies%22">International Journal of Environmental Studies</searchLink>. Aug2024, Vol. 81 Issue 4, p1501-1511. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Interpolation%22">Interpolation</searchLink><br /><searchLink fieldCode="DE" term="%22Kriging%22">Kriging</searchLink><br /><searchLink fieldCode="DE" term="%22Pollution%22">Pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Geological+statistics%22">Geological statistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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.] [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Environmental Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207233.2022.2072585 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1501 Subjects: – SubjectFull: Particulate matter Type: general – SubjectFull: Statistical models Type: general – SubjectFull: Interpolation Type: general – SubjectFull: Kriging Type: general – SubjectFull: Pollution Type: general – SubjectFull: Geological statistics Type: general Titles: – TitleFull: Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain): spatial interpolation comparisons and results. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Morillo, M. Carmen – PersonEntity: Name: NameFull: Martínez-Cuevas, Sandra – PersonEntity: Name: NameFull: García-Aranda, César – PersonEntity: Name: NameFull: Molina, Iñigo – PersonEntity: Name: NameFull: Querol, J. Javier – PersonEntity: Name: NameFull: Martínez, Estibaliz IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00207233 Numbering: – Type: volume Value: 81 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Environmental Studies Type: main |
| ResultId | 1 |
