2006
DOI: 10.1016/j.cageo.2006.03.008
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dsm.f90: A computer code for the solution of an inverse problem of ground water hydrology by the differential system method

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Cited by 4 publications
(3 citation statements)
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“…In this example we attempt to reduce the uncertainty on R validating the model with respect to a second set of data, which describes a second flow situation under different conditions. Unfortunately, an independent stationary set of data under exploitation conditions, which could be useful in order to reduce the uncertainty on the K distribution (Giudici et al 1995;Giudici and Vassena 2006), was not available. As a consequence, in order to validate the model, the heads evolution from 1998 to 2004 (seasonal data) has been considered.…”
Section: Simulations In Transient Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this example we attempt to reduce the uncertainty on R validating the model with respect to a second set of data, which describes a second flow situation under different conditions. Unfortunately, an independent stationary set of data under exploitation conditions, which could be useful in order to reduce the uncertainty on the K distribution (Giudici et al 1995;Giudici and Vassena 2006), was not available. As a consequence, in order to validate the model, the heads evolution from 1998 to 2004 (seasonal data) has been considered.…”
Section: Simulations In Transient Conditionsmentioning
confidence: 99%
“…Unfortunately, an independent stationary set of data under exploitation conditions, which could be useful in order to reduce the uncertainty on the K distribution (Giudici et al 1995; Giudici and Vassena 2006), was not available. As a consequence, in order to validate the model, the heads evolution from 1998 to 2004 (seasonal data) has been considered.…”
Section: Simulations In Transient Conditionsmentioning
confidence: 99%
“…Like other direct methods of inversion, e.g., the Differential System Method (Parravicini et al, 1995;Giudici et al, 1995;Giudici and Vassena, 2006), the head field has to be known everywhere. Since measurements are available at possibly few, sparse points, an interpolation is necessary.…”
Section: Introductionmentioning
confidence: 99%