Bibliographic Details
| Title: |
Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain): spatial interpolation comparisons and results. |
| 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] |
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| Database: |
Engineering Source |
