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How Observations and Structure Affect the Geostatistical Solution to the Steady‐State Inverse Problem
Author(s) -
Kitanidis Peter K.
Publication year - 1998
Publication title -
groundwater
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 94
eISSN - 1745-6584
pISSN - 0017-467X
DOI - 10.1111/j.1745-6584.1998.tb02192.x
Subject(s) - inverse , representation (politics) , inverse problem , mathematics , flow (mathematics) , spline (mechanical) , steady state (chemistry) , mathematical analysis , physics , geometry , chemistry , thermodynamics , politics , political science , law
The solution to the steady‐state inverse problem can be expanded into a series of spline functions with weights adjusted to reproduce the observations within the observation error. The splines depend on the model spatial structure, the ground water flow model, and the location of the observations. This representation of the solution, which is a rigorous and exact expansion, provides insight into the form of the best estimate and explicitly shows how observations and the conceptual model may affect the solution.