The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset
Fil: Della Ceca, Lara Sofia. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina.
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2024
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| Acceso en línea: | http://hdl.handle.net/11086/553851 |
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I10-R141-11086-5538512024-10-08T06:22:43Z The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset Della Ceca, Lara Sofia Carreras, Hebe A. Lyapustin, Alexei I. Barnaba, Francesca AOD aerosol Maiac Actividades espaciales Fil: Della Ceca, Lara Sofia. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina. Fil: Carreras, Hebe A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Fil: Carreras, Hebe A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Multidisciplinario de Biología Vegetal; Argentina. Fil: Lyapustin, Alexei I. GEST/UMBC, NASA Goddard Space Flight Center; Estados Unidos. Fil: Barnaba, Francesca. Italian National Research Council. Institute of Atmospheric Science and Climate; Italia. Particulate matter (PM) is one of the major harmful pollutants to public health and the environment [1]. In developed countries, specific air-quality legislation establishes limit values for PM metrics (e.g., PM10, PM2.5) to protect the citizens health (e.g., European Commission Directive 2008/50, US Clean Air Act). Extensive PM measuring networks therefore exist in these countries to comply with the legislation. In less developed countries air quality monitoring networks are still lacking and satellite-based datasets could represent a valid alternative to fill observational gaps. Fil: Della Ceca, Lara Sofia. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina. Fil: Carreras, Hebe A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Fil: Carreras, Hebe A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Multidisciplinario de Biología Vegetal; Argentina. Fil: Lyapustin, Alexei I. GEST/UMBC, NASA Goddard Space Flight Center; Estados Unidos. Fil: Barnaba, Francesca. Italian National Research Council. Institute of Atmospheric Science and Climate; Italia. Ciencias Medioambientales (los aspectos sociales van en 5.7 "Geografía Económica y Social" 2024-10-07T12:25:37Z 2024-10-07T12:25:37Z 2016 conferenceObject http://hdl.handle.net/11086/553851 eng Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ Impreso |
| institution |
Universidad Nacional de Córdoba |
| institution_str |
I-10 |
| repository_str |
R-141 |
| collection |
Repositorio Digital Universitario (UNC) |
| language |
Inglés |
| topic |
AOD aerosol Maiac Actividades espaciales |
| spellingShingle |
AOD aerosol Maiac Actividades espaciales Della Ceca, Lara Sofia Carreras, Hebe A. Lyapustin, Alexei I. Barnaba, Francesca The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset |
| topic_facet |
AOD aerosol Maiac Actividades espaciales |
| description |
Fil: Della Ceca, Lara Sofia. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina. |
| format |
conferenceObject |
| author |
Della Ceca, Lara Sofia Carreras, Hebe A. Lyapustin, Alexei I. Barnaba, Francesca |
| author_facet |
Della Ceca, Lara Sofia Carreras, Hebe A. Lyapustin, Alexei I. Barnaba, Francesca |
| author_sort |
Della Ceca, Lara Sofia |
| title |
The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset |
| title_short |
The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset |
| title_full |
The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset |
| title_fullStr |
The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset |
| title_full_unstemmed |
The satellite-based remote sensing of particulate matter (PM) in support to urban air quality: PM variability and hot spots within the Cordoba city (Argentina) as revealed by the high-resolution MAIAC-algorithm retrievals applied to a ten-years dataset |
| title_sort |
satellite-based remote sensing of particulate matter (pm) in support to urban air quality: pm variability and hot spots within the cordoba city (argentina) as revealed by the high-resolution maiac-algorithm retrievals applied to a ten-years dataset |
| publishDate |
2024 |
| url |
http://hdl.handle.net/11086/553851 |
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