« Previous Abstract"Investigating the Variation of Benzene and 1,3-Butadiene in the UK during 2000-2020"    Next Abstract[Chemical strategy during foraging in Solenopsis fugax Latr. and Monomorium pharaonis L.] »

SAR QSAR Environ Res

Title:		Implementation of depth-dependent soil concentrations in multimedia mass balance models
Author(s):		Hollander A; Hessels L; De Voogt P; van de Meent D;
Address:		"Department of Environmental Studies, Faculty of Science, Mathematics and Computing Science, University of Nijmegen, 6500GL Nijmegen, The Netherlands. a.hollander@sci.kun.nl"
Journal Title:		SAR QSAR Environ Res
Year:		2004
Volume:		15
Issue:		5-Jun
Page Number:		457 - 468
DOI:		10.1080/10629360412331297470
ISSN/ISBN:		1062-936X (Print) 1026-776X (Linking)
Abstract:		"In standard multimedia mass balance models, the soil compartment is modeled as a box with uniform concentrations, which often does not correspond with actual field situations. Therefore, the theoretically expected decrease of soil concentrations with depth was implemented in the multimedia model SimpleBox 3.0. The effects of this implementation on the model outcomes were explored for nine compounds in four environmental compartments. For compounds with a low penetration depth, the new model predicts substantially higher or lower concentrations in the vegetation compartment than the old model. For those compounds, predicted concentrations in surface water and air were higher in the new model, but the deviations from the old model were smaller than in the vegetation compartment. For compounds with a large penetration depth, the model adaptations show little effect. No field study was carried out to validate the results of the model calculations, but we did collect measured data on concentrations in vertical soil profiles from literature. According to those data, we concluded that the implementation of depth dependent soil concentrations might be a useful extension for steady state multimedia mass balance models. More field study has to be carried out to validate the model outcomes"
Keywords:		"Databases, Factual Diffusion Environmental Exposure Models, Biological *Multimedia Organic Chemicals/chemistry/metabolism Soil/*analysis Soil Pollutants/*analysis Volatilization Water Movements;"
Notes:		"MedlineHollander, A Hessels, L De Voogt, P van de Meent, D eng Comparative Study England 2005/01/27 SAR QSAR Environ Res. 2004 Oct-Dec; 15(5-6):457-68. doi: 10.1080/10629360412331297470"