Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractMethods of discovery and techniques to study endophytic fungi producing fuel-related hydrocarbons    Next AbstractAuthentication of key aroma compounds in apple using stable isotope approach »

Sci Total Environ


Title:Effects of multi-media partitioning of chemicals on Junge's variability-lifetime relationship
Author(s):Stroebe M; Scheringer M; Hungerbuhler K;
Address:"Institute for Chemical and Bioengineering, ETH Honggerberg, Swiss Federal Institute of Technology Zurich, CH-8093 Zurich, Switzerland"
Journal Title:Sci Total Environ
Year:2006
Volume:20060220
Issue:2-Mar
Page Number:888 - 898
DOI: 10.1016/j.scitotenv.2005.12.023
ISSN/ISBN:0048-9697 (Print) 0048-9697 (Linking)
Abstract:"Junge's variability-lifetime relationship describes the relation between the tropospheric residence time of a volatile trace gas and the coefficient of variation of the tropospheric mixing ratio at a remote location. However, no unique or universal quantification of this relationship exists. It can only be derived on a case-by-case basis for consistent data sets on substances with similar source and sink patterns. Using a multi-media model of the long-range transport of organic compounds, we determine variability-lifetime relationships for volatile substances. Next, we demonstrate how the variability-lifetime relationship can be obtained for semi-volatile organic compounds (SOCs) with the model and we investigate typical deviations from the Junge relationship for volatile compounds that are caused by the multi-media partitioning of SOCs. One cause of deviation from this relationship is substances undergoing significant transport in water so that their distribution in air is noticeably influenced by their distribution in water. The other, wider, deviation is caused by substances with a strong tendency for deposition and re-volatilization. Finally, we address the comparison of the model results with field data. Preliminary analyses of long-term monitoring data for polychlorinated biphenyls at remote sites have shown that the identification of Junge relationships in field data is not straightforward. We discuss possible strategies for the derivation of Junge relationships from field data on SOCs"
Keywords:"*Air Movements Air Pollution/*analysis Gases/*analysis *Models, Theoretical Organic Chemicals/*analysis Volatilization;"
Notes:"MedlineStroebe, Maximilian Scheringer, Martin Hungerbuhler, Konrad eng Comparative Study Netherlands 2006/02/21 Sci Total Environ. 2006 Aug 31; 367(2-3):888-98. doi: 10.1016/j.scitotenv.2005.12.023. Epub 2006 Feb 20"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 21-11-2024