Assessment of Satellite Aerosol Optical Depth to Estimate Particulate Matter Distribution in Valencia City
The estimation of exposure to PM 10 and PM 2.5 requires the knowledge of surface concentration at high temporal and spatial resolutions. In this paper, the relation between PM10 and PM 2.5 ground data and MODIS AOD satellite data has been evaluated to determine the concentration of particulate matte...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/86666 |
| Acceso en línea: | http://hdl.handle.net/11336/86666 |
| Access Level: | acceso abierto |
| Palabra clave: | AIR QUALITY AOD MODIS PARTICULATE MATTER VALENCIA https://purl.org/becyt/ford/2.7 https://purl.org/becyt/ford/2 |
| Sumario: | The estimation of exposure to PM 10 and PM 2.5 requires the knowledge of surface concentration at high temporal and spatial resolutions. In this paper, the relation between PM10 and PM 2.5 ground data and MODIS AOD satellite data has been evaluated to determine the concentration of particulate matter in Valencia, Spain. This was done using data from the Valencian Network of Surveillance and Control of Air Pollution and the scientific data set "Optical Depth Land and Ocean" from MODIS Terra and Aqua with 3km of spatial resolution. The linear regression model for PM 10 provided a regression slope of 25.99 μg.m -3 and an interception of 12.07 μg.m -3 (RMSE = 8.61 μg.m -3 ), while for PM2.5 the slope and interception were 26.87 μg.m -3 and 5.98 μg.m -3 (RMSE = 5.5 μg.m -3 ). |
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