Optimally reducing uncertainty in well capture zones using hydraulic head data

conference paper



Wiel, N.P.A.J. van de

Gehrels, J.C.

stroet, C.B.M. te

Valstar, J.R.
Boundaries of time-related well capture zones are subject to uncertainty due to the spatial and temporal variation of the hydrogeological parameters on which they depend. In the present study a Monte Carlo procedure has been used to quantify this uncertainty. Hydraulic conductivity was modelled as a random space function. Multiple, equally likely realizations of the random field were used to infer a capture zone probability distribution. In order to reduce uncertainty about the location and extent of the capture zones, each realization of the random hydraulic conductivity field was conditioned to piezometric head data using a new inverse modelling technique. The purpose of this paper is to develop a conditioning grid selection procedure that optimally reduces capture zone uncertainty. As a first step, three measures of conditioning performance were compared for a single head observation and their ability to select an optimal head measurement location was evaluated.
Topics

















AquiferHeterogeneityInverse modellingMeasurement network designMonte Carlo simulationStochasticWell capture zoneHydraulic conductivityHydrogeologyProbabilityWell capture zoneWellsaquiferflow modelinggroundwater flowheterogeneityMonte Carlo analysiswell
TNO Identifier
236842
Repository link
https://resolver.tno.nl/uuid:1afeb53b-b33f-4196-98bc-76f8f15907bb
ISSN
01447815
Source title
Calibration and Reliability In Groundwater Modelling: A Few Steps Closer to Reality, Proceedings of ModclCARI."2002. Prague. Czech Republic
Pages
498-507
Files
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