http://www.cnr.it/ontology/cnr/individuo/prodotto/ID43048
Seasonality of the Air-Forest Canopy Exchange of Persistent Organic Pollutants (Articolo in rivista)
- Type
- Label
- Seasonality of the Air-Forest Canopy Exchange of Persistent Organic Pollutants (Articolo in rivista) (literal)
- Anno
- 2008-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1021/es802019g (literal)
- Alternative label
Nizzetto L.; Jarvis A.; Brivio P.A.; Jones K.C.; Di Guardo A. (2008)
Seasonality of the Air-Forest Canopy Exchange of Persistent Organic Pollutants
in Environmental science & technology; ACS, American chemical society, Washington, DC (Stati Uniti d'America)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Nizzetto L.; Jarvis A.; Brivio P.A.; Jones K.C.; Di Guardo A. (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Nizzetto L., Jarvis A., Jones K.C.: Univ Lancaster, Dept Environm Sci, Lancaster LA1 4YQ, UK;
Di Guardo A: Univ Insubria, Dept Chem & Environm Sci, Como, Italy;
Brivio P.A.: CNR-IREA (literal)
- Titolo
- Seasonality of the Air-Forest Canopy Exchange of Persistent Organic Pollutants (literal)
- Abstract
- Forest canopies represent an extensive organic surface available for partitioning of semivolatile organic pollutants with the atmosphere. To date, the ability of forests to sequester such compounds (the so-called \"forest filter effect\") has been investigated using indirect methods that yield time integrated deposition fluxes and scenario-de pendent deposition velocities. In the present study, experimental data collected at three different alpine forest sites were used to assess the dynamics of PCB deposition fluxes (F, ng m(-2) d(-1)) during the growing season. Estimated values of F were consistent with previously reported data. Furthermore, this study showed that maximum levels of F in late spring can be a factor of 1.4-3.4 higher than their seasonal mean value. These data, in conjunction with a simple model framework that includes the main forcing parameters of air concentration, temperature, foliage structure, and biomass dynamics, are used to estimate the plant-air mass transfer coefficient (k(U), m d(-1)) and its variation with time in one of the forests. k(U) did not appear to significantly vary during the season, and its mean seasonal value ranged between 43 and 95 m d(-1) for selected compounds. The proposed framework was successfully applied to predict the variation in canopy concentration with time in the other two forests. (literal)
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