http://www.cnr.it/ontology/cnr/individuo/prodotto/ID45315
Particulate matter at surface: Northern Italy monitoring based on satellite remote sensing (Articolo in rivista)
- Type
- Label
- Particulate matter at surface: Northern Italy monitoring based on satellite remote sensing (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Di Nicolantonio, W., A. Cacciari and C. Tomasi (literal)
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Carlo Gavazzi Space Spa, Bologna CNR Area Science Park,
Institute of Atmospheric Science and Climate
(ISAC-CNR), Bologna CNR Area Science Park, I-40129 Bologna, Italy (literal)
- Titolo
- Particulate matter at surface: Northern Italy monitoring based on satellite remote sensing (literal)
- Abstract
- Growing attention has been paid over recent years to
the possibility of monitoring surface particulate matter (PM) concentrations through the use of satellite observations. Satellite remote
sensing of both aerosol and trace gas constituents can be usefully
employed in air quality monitoring (AQ). The MODIS (Terra-
Aqua/NASA platforms) aerosol optical properties were used here
in a semi-empirical approach to estimate PM2.5 content at ground
level. PM2.5 samplings were employed to convert aerosol optical
depth AOD into PM estimates, considering meteorological fields
simulated by MM5. Thus, daily maps of satellite-based PM2.5
concentrations over Northern Italy were derived. Comparison with
daily PM2.5, sampled on the ground during the QUITSAT project
over six validation sites of the Po valley, showed good agreement
(R2 = 0.68 and R2 = 0.59 for MODIS/Terra and MODIS/
Aqua, respectively), with the satellite-based concentrations tending
to underestimate the values by at most around 20%. Monthly averaged
values were also compared providing good agreement, with R2 = 0.7 for each platform. (literal)
- Prodotto di
- Autore CNR
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