La concentración de partículas en el aire: análisis estadístico de la relación espacial entre medidas de superficie y del sensor MODIS para dos tipos de tiempo en la Comunidad de Madrid
Remote sensors are monitoring planetary atmospheric pollution and producing considerable information on aerosols - similarly to the MODIS sensor and its Aerosol Optical Depth (AOD) indicator. Comparison with common ground measures shows discordances between both data sources. Assuming a hypothetical...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.uam.es:10486/694665 |
| Acceso en línea: | http://hdl.handle.net/10486/694665 https://dx.doi.org/10.14198/INGEO2020.MJCTMA |
| Access Level: | acceso abierto |
| Palabra clave: | Aerosol optical depth (AOD) Air pollution Particulate matter (PM ) 10 Remote sensing Madrid MODIS Geografía |
| Sumario: | Remote sensors are monitoring planetary atmospheric pollution and producing considerable information on aerosols - similarly to the MODIS sensor and its Aerosol Optical Depth (AOD) indicator. Comparison with common ground measures shows discordances between both data sources. Assuming a hypothetical positive relation between them, this work makes a systematic analysis of data representing two weather types prone to high particulate matter concentration in the Madrid region, explores the strength of AOD-PM correlation, and the influence of meteorological variables (temperature, wind, and relative humidity), weather types, and the geographical context. In line with other authors' findings, the results of this investigation generally support the positive relation, although inconsistencies appear, and in many cases the statistical relation frequently decreases, and may become null because of various potential reasons - including abundant missing data. 10 |
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