Predicting pesticide attenuation in a fractured aquifer using lumped-parameter models

Predicting pesticide attenuation in a fractured aquifer using lumped-parameter models

© 2011, The Author(s). Groundwater © 2012, National Ground Water Association.

Détails bibliographiques
Publié dans:Ground water. - 1979. - 51(2013), 2 vom: 21. März, Seite 276-85
Auteur principal: Farlin, J (Auteur)
Autres auteurs: Gallé, T, Bayerle, M, Pittois, D, Braun, C, El Khabbaz, H, Elsner, M, Maloszewski, P
Format: Article en ligne
Langue:English
Publié: 2013
Accès à la collection:Ground water
Sujets:Journal Article Research Support, Non-U.S. Gov't Water Pollutants, Chemical Atrazine QJA9M5H4IM
Description
Résumé:© 2011, The Author(s). Groundwater © 2012, National Ground Water Association.
Neighboring springs draining fractured-rock aquifers can display large differences in water quality and flow regime, depending on local variations of the connectivity and the aperture size distribution of the fracture network. Consequently, because homogeneous equivalent parameters cannot be assumed a priori for the entire regional aquifer, the vulnerability to pollution of such springs has to be studied on a case by case basis. In this paper, a simple lumped-parameter model usually applied to estimate the mean transit time of water (or tracer) is presented. The original exponential piston-flow model was modified to take land-use distribution into account and applied to predict the evolution of atrazine concentration in a series of springs draining a fractured sandstone aquifer in Luxembourg, where despite a nationwide ban in 2005, atrazine concentrations still had not begun to decrease in 2009. This persistence could be explained by exponentially distributed residence times in the aquifer, demonstrating that in some real world cases, models based on the groundwater residence time distribution can be a powerful tool for trend reversal assessments as recommended for instance by current European Union guidelines
Description:Date Completed 04.09.2013
Date Revised 21.11.2013
published: Print-Electronic
Citation Status MEDLINE
ISSN:1745-6584
DOI:10.1111/j.1745-6584.2012.00964.x