Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential Method

This study explores the hydrogeological conditions of a landslide-prone hillslope in the Upper Mosel valley, Luxembourg. The investigation program included the monitoring of piezometer wells, hydrogeological field tests, analysis of drillcore records, and geophysical surveys. Monitoring and field te...

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Main Authors: Karlis Kukemilks, Jean-Frank Wagner
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/9/4224
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spelling doaj-71cfeba7e1294111b6f12e8b8a8380892021-05-31T23:19:50ZengMDPI AGApplied Sciences2076-34172021-05-01114224422410.3390/app11094224Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential MethodKarlis Kukemilks0Jean-Frank Wagner1Department of Geology, University of Trier, Behringstraße 21, D-54296 Trier, GermanyDepartment of Geology, University of Trier, Behringstraße 21, D-54296 Trier, GermanyThis study explores the hydrogeological conditions of a landslide-prone hillslope in the Upper Mosel valley, Luxembourg. The investigation program included the monitoring of piezometer wells, hydrogeological field tests, analysis of drillcore records, and geophysical surveys. Monitoring and field testing in some of the observation wells indicated very pronounced preferential flow. Electrical resistivity tomography (ERT) and self-potential geophysical methods were employed in the study area for exploration of the morphology of preferential flowpaths. Possible signals associated with flowing groundwater in the subsurface were detected; however, they were diffusively spread over a relatively large zone, which did not allow for the determination of an exact morphology of the conduit. Analysis of drillcore records indicated that flowpaths are caused by the dissolution of thin gypsum interlayers in marls. For better understanding of the site’s hydrogeological settings, a 3D hydrogeological model was compiled. By applying different subsurface flow mechanisms, a hydrogeological model with thin, laterally extending flowpaths embedded in a porous media matrix showed the best correspondence with field observations. Simulated groundwater heads in a preferential flow conduit exactly corresponded with the observed heads in the piezometer wells. This study illustrates how hydrogeological monitoring and geophysical surveys in conjunction with the newest hydrogeological models allow for better conceptualization and parametrization of preferential flow.https://www.mdpi.com/2076-3417/11/9/4224preferential flowresistivity tomographyself-potential mappinghydrogeological modeling
collection DOAJ
language English
format Article
sources DOAJ
author Karlis Kukemilks
Jean-Frank Wagner
spellingShingle Karlis Kukemilks
Jean-Frank Wagner
Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential Method
Applied Sciences
preferential flow
resistivity tomography
self-potential mapping
hydrogeological modeling
author_facet Karlis Kukemilks
Jean-Frank Wagner
author_sort Karlis Kukemilks
title Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential Method
title_short Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential Method
title_full Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential Method
title_fullStr Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential Method
title_full_unstemmed Detection of Preferential Water Flow by Electrical Resistivity Tomography and Self-Potential Method
title_sort detection of preferential water flow by electrical resistivity tomography and self-potential method
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-05-01
description This study explores the hydrogeological conditions of a landslide-prone hillslope in the Upper Mosel valley, Luxembourg. The investigation program included the monitoring of piezometer wells, hydrogeological field tests, analysis of drillcore records, and geophysical surveys. Monitoring and field testing in some of the observation wells indicated very pronounced preferential flow. Electrical resistivity tomography (ERT) and self-potential geophysical methods were employed in the study area for exploration of the morphology of preferential flowpaths. Possible signals associated with flowing groundwater in the subsurface were detected; however, they were diffusively spread over a relatively large zone, which did not allow for the determination of an exact morphology of the conduit. Analysis of drillcore records indicated that flowpaths are caused by the dissolution of thin gypsum interlayers in marls. For better understanding of the site’s hydrogeological settings, a 3D hydrogeological model was compiled. By applying different subsurface flow mechanisms, a hydrogeological model with thin, laterally extending flowpaths embedded in a porous media matrix showed the best correspondence with field observations. Simulated groundwater heads in a preferential flow conduit exactly corresponded with the observed heads in the piezometer wells. This study illustrates how hydrogeological monitoring and geophysical surveys in conjunction with the newest hydrogeological models allow for better conceptualization and parametrization of preferential flow.
topic preferential flow
resistivity tomography
self-potential mapping
hydrogeological modeling
url https://www.mdpi.com/2076-3417/11/9/4224
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