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How accurate is the stochastic simulation of a groundwater flow based on hydrogeological properties estimated by a stochastic inverse methodology performed for a distinct scenario (different initial and boundary conditions and well abstractions)?

Title
How accurate is the stochastic simulation of a groundwater flow based on hydrogeological properties estimated by a stochastic inverse methodology performed for a distinct scenario (different initial and boundary conditions and well abstractions)?
Type
Article in International Conference Proceedings Book
Year
2001
Authors
Manuel Maria Pacheco Figueiredo
(Author)
FEUP
Luís Ribeiro
(Author)
Other
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José Manuel Pinto Ferreira Lemos
(Author)
FEUP
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Conference proceedings International
Scientific classification
FOS: Engineering and technology > Civil engineering
CORDIS: Natural sciences > Environmental science > Water science > Water system modelling
Other information
Abstract (EN): Using a stochastic inverse methodology we can estimate, simultaneously, the log-transforms of the hydrogeological properties (transmissivity and storage coefficient for a confined aquifer or hydraulic conductivity and drainage porosity for an unconfined aquifer) and the effective recharge (or leakage) of an aquifer, assuming that we have a deterministic knowledge of the initial conditions, boundary conditions and well abstractions. The estimation depends not only on field data (properties and piezometric head measurements) but also on the initial and boundary conditions and the well(s) abstraction regime(s). If the inverse problem is well posed, it is expected that the piezometric fields produced by the simulation model – run for the estimated hydrogeological properties and the same initial and boundary conditions and well(s) abstraction(s) – present a good approximation to the correspondent “real” fields. The question which entitles this paper concerns the validity of the simulation model, built over those estimated hydrogeological properties, when we change considerably the conditions of exploitation of the aquifer. We try to address this problem, without any exhaustiveness presumption, by presenting an application of the stochastic inverse methodology to some synthetic cases and assessing the accuracy of the correspondent simulation models when exploitation conditions suffer a considerable change.
Language: Portuguese
Type (Professor's evaluation): Scientific
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