Loading…

Least squares inversion of self-potential (SP) data and application to the shallow flow of ground water in sinkholes

We propose a least squares inversion algorithm to determine the spatially variable depth of the water table in shallow unconfined aquifers using self‐potential signals measured on the ground surface. Traditionally, the water table is determined only at few locations using piezometers. Our approach r...

Full description

Saved in:
Bibliographic Details
Published in:Geophysical research letters 2006-10, Vol.33 (19), p.n/a
Main Authors: Jardani, A., Revil, A., Akoa, F., Schmutz, M., Florsch, N., Dupont, J. P.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We propose a least squares inversion algorithm to determine the spatially variable depth of the water table in shallow unconfined aquifers using self‐potential signals measured on the ground surface. Traditionally, the water table is determined only at few locations using piezometers. Our approach relates its shape with the distribution of the self‐potential signals according to a Fredholm equation of the first kind. The latter is discretized to obtain a linear matrix formulation of the forward problem. This new formulation is very general and can account for the resistivity distribution of the vadose zone. It is used to setup the inverse problem using the approach of Tarantola (1987) for a test site located in Normandy (France) where 225 self‐potential measurements were performed over an area of 15,400 m2. Ground water flows through the loess overlying a low permeability clay‐with‐flint weathered chalk, at a depth between 1 to 7 meters, into sinkholes in chalk bedrock. The method determines the water table with a precision of 0.4 m.
ISSN:0094-8276
1944-8007
DOI:10.1029/2006GL027458