Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time

Uncertainty of groundwater model predictions has in the past mostly been related to uncertainty in the hydraulic parameters, whereas uncertainty in the geological structure has not been considered to the same extent. Recent developments in theoretical methods for quantifying geological uncertainty h...

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Main Authors: X. He, T. O. Sonnenborg, F. Jørgensen, A.-S. Høyer, R. R. Møller, K. H. Jensen
Format: Article
Language:English
Published: Copernicus Publications 2013-08-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/17/3245/2013/hess-17-3245-2013.pdf
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spelling doaj-854ea6116ea54b558c2a7695f80afb6f2020-11-24T23:41:29ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382013-08-011783245326010.5194/hess-17-3245-2013Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel timeX. HeT. O. SonnenborgF. JørgensenA.-S. HøyerR. R. MøllerK. H. JensenUncertainty of groundwater model predictions has in the past mostly been related to uncertainty in the hydraulic parameters, whereas uncertainty in the geological structure has not been considered to the same extent. Recent developments in theoretical methods for quantifying geological uncertainty have made it possible to consider this factor in groundwater modeling. In this study we have applied the multiple-point geostatistical method (MPS) integrated in the Stanford Geostatistical Modeling Software (SGeMS) for exploring the impact of geological uncertainty on groundwater flow patterns for a site in Denmark. Realizations from the geostatistical model were used as input to a groundwater model developed from Modular three-dimensional finite-difference ground-water model (MODFLOW) within the Groundwater Modeling System (GMS) modeling environment. The uncertainty analysis was carried out in three scenarios involving simulation of groundwater head distribution and travel time. The first scenario implied 100 stochastic geological models all assigning the same hydraulic parameters for the same geological units. In the second scenario the same 100 geological models were subjected to model optimization, where the hydraulic parameters for each of them were estimated by calibration against observations of hydraulic head and stream discharge. In the third scenario each geological model was run with 216 randomized sets of parameters. The analysis documented that the uncertainty on the conceptual geological model was as significant as the uncertainty related to the embedded hydraulic parameters.http://www.hydrol-earth-syst-sci.net/17/3245/2013/hess-17-3245-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author X. He
T. O. Sonnenborg
F. Jørgensen
A.-S. Høyer
R. R. Møller
K. H. Jensen
spellingShingle X. He
T. O. Sonnenborg
F. Jørgensen
A.-S. Høyer
R. R. Møller
K. H. Jensen
Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
Hydrology and Earth System Sciences
author_facet X. He
T. O. Sonnenborg
F. Jørgensen
A.-S. Høyer
R. R. Møller
K. H. Jensen
author_sort X. He
title Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
title_short Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
title_full Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
title_fullStr Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
title_full_unstemmed Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
title_sort analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2013-08-01
description Uncertainty of groundwater model predictions has in the past mostly been related to uncertainty in the hydraulic parameters, whereas uncertainty in the geological structure has not been considered to the same extent. Recent developments in theoretical methods for quantifying geological uncertainty have made it possible to consider this factor in groundwater modeling. In this study we have applied the multiple-point geostatistical method (MPS) integrated in the Stanford Geostatistical Modeling Software (SGeMS) for exploring the impact of geological uncertainty on groundwater flow patterns for a site in Denmark. Realizations from the geostatistical model were used as input to a groundwater model developed from Modular three-dimensional finite-difference ground-water model (MODFLOW) within the Groundwater Modeling System (GMS) modeling environment. The uncertainty analysis was carried out in three scenarios involving simulation of groundwater head distribution and travel time. The first scenario implied 100 stochastic geological models all assigning the same hydraulic parameters for the same geological units. In the second scenario the same 100 geological models were subjected to model optimization, where the hydraulic parameters for each of them were estimated by calibration against observations of hydraulic head and stream discharge. In the third scenario each geological model was run with 216 randomized sets of parameters. The analysis documented that the uncertainty on the conceptual geological model was as significant as the uncertainty related to the embedded hydraulic parameters.
url http://www.hydrol-earth-syst-sci.net/17/3245/2013/hess-17-3245-2013.pdf
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