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* Ihre Aktion:   suchen [und] (PICA Prod.-Nr. [PPN]) 1650417063
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Online Ressourcen (ohne online verfügbare<BR> Zeitschriften und Aufsätze)
 
K10plusPPN: 
1650417063     Zitierlink
SWB-ID: 
333462351                        
Titel: 
The Role of the Ocean in Global Cycling of Persistent Organic Contaminants : Refinement and Application of a Global Multicompartment Chemistry-Transport Model / by Irene Stemmler
Autorin/Autor: 
Erschienen: 
Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
Umfang: 
Online-Ressource (XI, 99p. 49 illus, digital)
Sprache(n): 
Englisch
Schriftenreihe: 
Anmerkung: 
Includes bibliographical references and index
Bibliogr. Zusammenhang: 
ISBN: 
978-3-642-05009-1
978-3-642-05008-4 (ISBN der Printausgabe)
Norm-Nr.: 
634247093
Sonstige Nummern: 
OCoLC: 774007570     see Worldcat
OCoLC: 774007570 (aus SWB)     see Worldcat


Link zum Volltext: 
Digital Object Identifier (DOI): 10.1007/978-3-642-05009-1


RVK-Notation: 
Sachgebiete: 
bisacsh: SCI013000 ; bicssc: RNP ; bisacsh: SCI026000
Schlagwortfolge: 
Sonstige Schlagwörter: 
Inhaltliche
Zusammenfassung: 
From the contents: Introduction -- Model Development -- Model Application -- Conclusions and Outlook -- Impact of the Horizontal Resolution on the Representation of Continental Shelves -- Sensitivity of Volatilisation of DDT from the Ocean to Climate Parameters

Persistent organic contaminants, which are bioaccumulative and toxic are a concern for the ecosystems and human health and are regulated under international law (global and regional conventions, besides other). If semivolatile, they cycle in different environmental compartments and follow complex transport pathways. The ocean is believed to play a key role in the cycling by accumulating and storing the contaminant and providing a transport medium. But substance fate in the marine environment is not fully understood yet. Here, the global multicompartment chemistry-transport model MPI-MCTM is used to study the fate of organic pollutants in the marine and total environment. For the first time historical emission data are used in spatially-resolved long-term simulations of an insecticide, DDT, and an industrial chemical, perfluorooctanoic acid (PFOA). The model results give new insights into the cycling of these substances as different spatial and process resolutions were tested. E.g. for DDT the model results show saturation and reversal of air-sea exchange, which was not indicated by any other study before


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