Karlis Kukemilks
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Karlis Kukemilks has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Jean-Frank Wagner
Universität Trier
3 shared publications - Philip Brunner
Centre for Hydrogeology and Geothermics (CHYN), Université de Neuchâtel, Neuchâtel, Switzerland
2 shared publications Tomas Saks
University of Fribourg
2 shared publications
Latest Publications
- Open Access
- 6 May 2021
- Published by MDPI AG in Applied Sciences
- Vol. 11 (9) , 4224
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 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.
- 6 May 2021
- Published by MDPI AG in Applied Sciences
- Vol. 11 (9) , 4224
Open AccessDetection 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 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.
- 16 July 2018
- Published by Springer Nature in Landslides
- Vol. 15 (11) , 2267-2278
Physically based hydrogeological and slope stability modeling of the Turaida castle mound
- 16 July 2018
- Published by Springer Nature in Landslides
- Vol. 15 (11) , 2267-2278
Physically based hydrogeological and slope stability modeling of the Turaida castle mound
- 12 September 2017
- Published by Springer Nature in Hydrogeology Journal
- Vol. 26 (2) , 439-450
Conceptualization of preferential flow for hillslope stability assessment
- 12 September 2017
- Published by Springer Nature in Hydrogeology Journal
- Vol. 26 (2) , 439-450
Conceptualization of preferential flow for hillslope stability assessment