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Combining stochastic simulations and inverse modelling for delineation of groundwater well capture zones
Rentier, Céline; Roubens, Marc; Dassargues, Alain
2003In Iu (Ed.) Computational Methods in Engineering and Science
 

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Keywords :
Groundwater modelling; protection zones; stochastic simulations; inverse modelling; well capture zones; hard and soft data
Abstract :
[en] In hydrogeology, protection zones of a spring or a pumping well are often delimited by isochrones that are computed using calibrated groundwater flow and transport models. In heterogeneous formations, all direct and indirect data, respectively called hard and soft data, must be used in an optimal way. Approaches involving in situ pumping and tracer tests, combined with geophysical and/or other geological observations, are developed. In a deterministic framework, the calibrated model is considered as the best representation of the reality at the current investigation stage, but result uncertainty remains unquantified. Using stochastic methods, a range of equally likely isochrones can be produced allowing to quantify the influence of our knowledge of the aquifer parameters on protection zone uncertainty. Furthermore, integration of soft data in a conditioned stochastic generation process, possibly associated with an inverse modeling procedure, can reduce the resulting uncertainty. A stochastic methodology for protection zone delineation integrating hydraulic conductivity measurements (hard data), head observations and electrical resistivity data (soft data) is proposed.
Disciplines :
Geological, petroleum & mining engineering
Author, co-author :
Rentier, Céline;  Université de Liège - ULiège > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'Environnement
Roubens, Marc ;  Université de Liège - ULiège > Services généraux (Faculté des sciences) > Relations académiques et scientifiques (Sciences)
Dassargues, Alain  ;  Université de Liège - ULiège > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'environnement
Language :
English
Title :
Combining stochastic simulations and inverse modelling for delineation of groundwater well capture zones
Publication date :
2003
Event name :
EPMESC IX: 9th International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science
Event organizer :
University of Macau
Event date :
25-28 November 2003
Audience :
International
Main work title :
Computational Methods in Engineering and Science
Author, co-author :
Iu
Publisher :
Swets & Zeitlinger, Lisse, Netherlands
ISBN/EAN :
90 5809 567 3
Pages :
765-769
Available on ORBi :
since 31 December 2008

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