Dr. Tanja Liesch

Work areas

  • Numerical modelling of flow, mass and heat transport
  • Use of artificial intelligence/machine learning in hydrogeology
  • Statistical methods
  • Hydraulic methods
  • Groundwater-dependent ecosystems
  • Geoinformation systems (GIS)
  • Project management / application system / expert opinions
  • Supervision of Master, Bachelor and project work

Courses

  • Groundwater modelling
  • Hydraulic methods
  • Geoinformation processing with GIS
  • Hydrogeological site and laboratory methods
  • Excursions
  • Supervision of project studies, Bachelor and Master theses

Publications


Book Chapters
Subsurface Flow and Sulfate Dissolution Response to the Construction and Restoration of the River Weir in Hessigheim, Germany
Montenegro, H.; Kauther, R.; Strasser, D.; Liesch, T.; Goldscheider, N.
2017. EuroKarst 2016, Neuchâtel – Advances in the Hydrogeology of Karst and Carbonate Reservoirs. Ed.: P. Renard, 57–63, Springer International Publishing. doi:10.1007/978-3-319-45465-8_6
Challenges of Implementing IWRM in the Lower Jordan Valley
Klinger, J.; Riepl, D.; Wolff, H.-P.; Heinz, I.; Rödiger, T.; Guttman, J.; Samhan, S.; Tamimi, A.; Subah, A.; Sauter, M.; Müller, R.; Geyer, S.; Ali, W.; Afferden, M. van; Lee, M.-Y.; Liesch, T.; Hötzl, H.; Goldscheider, N.
2016. tIntegrated Water Resources Management : Concept, Research and Implementation. Ed.: D. Borchardt, 749–777, Springer International Publishing. doi:10.1007/978-3-319-25071-7_28
PhD Theses
Journal Articles
Flooding and flood water storage in karst systems of the Mediterranean region
Xanke, J.; Stevanović, Z.; Liesch, T.; Kaltenbrunn, A.; Ravbar, N.; Jourde, H.; Andreo, B.; Barberá, J. A.; Goldscheider, N.
2024. Hydrogeology Journal, 32 (6), 1587–1605. doi:10.1007/s10040-024-02811-0
Carbonate rocks and karst water resources in the Mediterranean region
Xanke, J.; Goldscheider, N.; Bakalowicz, M.; Barberá, J. A.; Broda, S.; Chen, Z.; Ghanmi, M.; Günther, A.; Hartmann, A.; Jourde, H.; Liesch, T.; Mudarra, M.; Petitta, M.; Ravbar, N.; Stevanović, Z.
2024. Hydrogeology Journal, 32 (5), 1397–1418. doi:10.1007/s10040-024-02810-1
Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
Collenteur, R. A.; Haaf, E.; Bakker, M.; Liesch, T.; Wunsch, A.; Soonthornrangsan, J.; White, J.; Martin, N.; Hugman, R.; Fienen, M.; de Sousa, E.; Vanden Berghe, D.; Fan, X.; Peterson, T.; Bikše, J.; Di Ciacca, A.; Wang, X.; Zheng, Y.; Nölscher, M.; Koch, J.; Schneider, R.; Benavides Höglund, N.; Chidepudi, S. K. R.; Henriot, A.; Massei, N.; Jardani, A.; Rudolph, M. G.; Rouhani, A.; Gómez-Hernández, J.; Jomaa, S.; Pölz, A.; Franken, T.; Behbooei, M.; Lin, J.; Tolson, B.; Meysami, R.
2024. Hydrology and earth system sciences discussions, 1–21. doi:10.5194/hess-2024-111
Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning
Wunsch, A.; Liesch, T.; Goldscheider, N.
2024. Hydrology and Earth System Sciences, 28 (9), 2167 – 2178. doi:10.5194/hess-28-2167-2024
On the challenges of global entity-aware deep learning models for groundwater level prediction
Heudorfer, B.; Liesch, T.; Broda, S.
2024. Hydrology and Earth System Sciences, 28 (3), 525–543. doi:10.5194/hess-28-525-2024
On the challenges of global entity-aware deep learning models for groundwater level prediction
Heudorfer, B.; Liesch, T.; Broda, S.
2023. Hydrology and earth system sciences discussions. doi:10.5194/hess-2023-192
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
Cinkus, G.; Mazzilli, N.; Jourde, H.; Wunsch, A.; Liesch, T.; Ravbar, N.; Chen, Z.; Goldscheider, N.
2023. Hydrology and Earth System Sciences, 27 (13), 2397–2411. doi:10.5194/hess-27-2397-2023
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
Cinkus, G.; Wunsch, A.; Mazzilli, N.; Liesch, T.; Chen, Z.; Ravbar, N.; Doummar, J.; Fernández-Ortega, J.; Barberá, J. A.; Andreo, B.; Goldscheider, N.; Jourde, H.
2023. Hydrology and Earth System Sciences, 27 (10), 1961–1985. doi:10.5194/hess-27-1961-2023
Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods
Ohmer, M.; Liesch, T.; Wunsch, A.
2022. Hydrology and Earth System Sciences, 26 (15), 4033–4053. doi:10.5194/hess-26-4033-2022
Erratum zu: Berechnung von Temperaturfahnen im Grundwasser mit analytischen und numerischen Modellen
Ohmer, M.; Klester, A.; Kissinger, A.; Mirbach, S.; Class, H.; Schneider, M.; Lindenlaub, M.; Bauer, M.; Liesch, T.; Menberg, K.; Blum, P.
2022. Grundwasser, 27, 149–150. doi:10.1007/s00767-022-00513-6
Karst spring discharge modeling based on deep learning using spatially distributed input data
Wunsch, A.; Liesch, T.; Cinkus, G.; Ravbar, N.; Chen, Z.; Mazzilli, N.; Jourde, H.; Goldscheider, N.
2022. Hydrology and Earth System Sciences, 26 (9), 2405–2430. doi:10.5194/hess-26-2405-2022
Deep learning shows declining groundwater levels in Germany until 2100 due to climate change
Wunsch, A.; Liesch, T.; Broda, S.
2022. Nature Communications, 13 (1), Artikel-Nr.: 1221. doi:10.1038/s41467-022-28770-2
Berechnung von Temperaturfahnen im Grundwasser mit analytischen und numerischen Modellen : Calculation of temperature plumes in groundwater with analytical and numerical models
Ohmer, M.; Klester, A.; Kissinger, A.; Mirbach, S.; Class, H.; Schneider, M.; Lindenlaub, M.; Bauer, M.; Liesch, T.; Menberg, K.; Blum, P.
2022. Grundwasser, 27, 113–129. doi:10.1007/s00767-022-00509-2
Karst modelling challenge 1: Results of hydrological modelling
Jeannin, P.-Y.; Artigue, G.; Butscher, C.; Chang, Y.; Charlier, J.-B.; Duran, L.; Gill, L.; Hartmann, A.; Johannet, A.; Jourde, H.; Kavousi, A.; Liesch, T.; Liu, Y.; Lüthi, M.; Malard, A.; Mazzilli, N.; Pardo-Igúzquiza, E.; Thiéry, D.; Reimann, T.; Schuler, P.; Wöhling, T.; Wunsch, A.
2021. Journal of hydrology, 600, 126508. doi:10.1016/j.jhydrol.2021.126508
Hydrogeological site investigation and economic evaluation to assess the potential of managed aquifer recharge in the Lower Jordan Valley
Xanke, J.; Salman, A.; Al-Karablieh, E.; Liesch, T.; Salameh, E.; Goldscheider, N.
2020. Hydrogeology journal, 28, 745–762. doi:10.1007/s10040-019-02058-0
On the Optimal Spatial Design for Groundwater Level Monitoring Networks
Ohmer, M.; Liesch, T.; Goldscheider, N.
2019. Water resources research, 2019WR025728. doi:10.1029/2019WR025728
Aquifer responses to long-term climatic periodicities
Liesch, T.; Wunsch, A.
2019. Journal of hydrology, 572, 226–242. doi:10.1016/j.jhydrol.2019.02.060
Multi-tracer approach to characterize hydraulically induced sulfate rock dissolution processes below a weir lock
Strasser, D.; Montenegro, H.; Blechschmidt, L.; Liesch, T.; Goldscheider, N.
2017. Journal of applied water engineering and research, 5 (2), 142–157. doi:10.1080/23249676.2016.1172992
Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation
Longenecker, J.; Bechtel, T.; Chen, Z.; Goldscheider, N.; Liesch, T.; Walter, R.
2017. Geophysical research letters, 44 (10), 4926–4932. doi:10.1002/2017GL073790
Contamination risk and drinking water protection for a large-scale managed aquifer recharge site in a semi-arid karst region, Jordan
Xanke, J.; Liesch, T.; Goeppert, N.; Klinger, J.; Gassen, N.; Goldscheider, N.
2017. Hydrogeology journal, 25 (6), 1795–1809. doi:10.1007/s10040-017-1586-0
Isotopic constraints on water source mixing, network leakage and contamination in an urban groundwater system
Grimmeisen, F.; Lehmann, M. F.; Liesch, T.; Goeppert, N.; Klinger, J.; Zopfi, J.; Goldscheider, N.
2017. The science of the total environment, 583, 202–213. doi:10.1016/j.scitotenv.2017.01.054
Modelling groundwater over-extraction in the southern Jordan Valley with scarce data
Alfaro, P.; Liesch, T.; Goldscheider, N.
2017. Hydrogeology journal, 25 (5), 1319–1340. doi:10.1007/s10040-017-1535-y
Numerical long-term assessment of managed aquifer recharge from a reservoir into a karst aquifer in Jordan
Xanke, J.; Jourde, H.; Liesch, T.; Goldscheider, N.
2016. Journal of hydrology, 540, 603–614. doi:10.1016/j.jhydrol.2016.06.058
Uranium in groundwater - Fertilizers versus geogenic sources
Liesch, T.; Hinrichsen, S.; Goldscheider, N.
2015. The science of the total environment, 536, 981–995. doi:10.1016/j.scitotenv.2015.05.133
Impact of managed aquifer recharge on the chemical and isotopic composition of a karst aquifer, Wala reservoir, Jordan
Xanke, J.; Goeppert, N.; Sawarieh, A.; Liesch, T.; Kinger, J.; Ali, W.; Hoetzl, H.; Hadidi, K.; Goldscheider, N.
2015. Hydrogeology Journal, 23 (5), 1027–1040. doi:10.1007/s10040-015-1233-6
Conference Papers
Feature-basiertes Clustering von Umweltzeitreihen mit Self-Organizing-Map-Ensembles
Wunsch, A.; Liesch, T.; Broda, S.
2021. INFORMATIK 2020 - Back to the future. Hrsg.: R. H. Reussner, 1035–1041, Gesellschaft für Informatik (GI). doi:10.18420/inf2020_98
Nitrat-Monitoring 4.0 – Intelligente Systeme zur nachhaltigen Reduzierung von Nitrat im Grundwasser
Liesch, T.; Bruns, J.; Abecker, A.; Hilbring, D.; Karimanzira, D.; Martin, T.; Wagner, M.; Wunsch, A.; Fischer, T.
2021. INFORMATIK 2020 - Back to the future. Hrsg.: R.H. Reussner, 1069–1079, Gesellschaft für Informatik (GI). doi:10.18420/inf2020_101
Interpolationsmethoden für Grundwassergleichen –Auswirkungen der Auswahl auf weitere Berechnungen am Beispiel von Austauschvorgängen in der Region Donauried
Ohmer, M.; Liesch, T.; Göppert, N.; Goldscheider, N.
2018. GRUNDWASSER IM UMFELD VON BERGBAU, ENERGIE UND URBANEN RÄUMEN, Herausgeber: A. Banning, S. Frank, R. Kaufmann-Knoke, A. Niedermayr, F. Wisotzky, S. Wohnlich, Institut für Geologie
Wochen-, Monats-und Jahreszeitenvorhersage von Grundwasserständen mit künstlichen neuronalen Netzen
Broda, S.; Wunsch, A.; Liesch, T.
2018. Grundwasser im Umfeld von Bergbau, Energie und urbanen Räumen, Herausgeber: Banning, A. W.; Frank, S.; Kaufmann-Knoke, R.; Niedermayr, A.; Wisotzky, F.; Wohnlich, S., Institut für Geologie
Natürliche und künstliche Tracer zur Charakterisierung von hydraulisch induzierten Lösungsvorgängen unter einem Stauwehrkomplex am Neckar
Straßer, D.; Montenegro, H.; Blechschmidt, L.; Liesch, T.; Goldscheider, N.
2016. Grundwasser - Mensch - Ökosysteme : 25. Tagung der Fachsektion Hydrogeologie in der DGGV 2016, Karlsruher Institut für Technologie (KIT), 13.-17. April 2016. Hrsg.: P. Blum, S. 154, KIT Scientific Publishing
Hydrogeological assessment of a managed aquifer recharge site at the Wala reservoir, Jordan
Xanke, J.; Klinger, J.; Liesch, T.; Göppert, N.; Sawarieh, A.; Goldscheider, N.
2016. Grundwasser - Mensch - Ökosysteme : 25. Tagung der Fachsektion Hydrogeologie in der DGGV 2016, Karlsruher Institut für Technologie (KIT), 13.-17. April 2016. Hrsg.: P. Blum, 61–62, KIT Scientific Publishing
Presentations
Incorporating spatial information for regionalization of hydrogeological parameters in machine learning models
Ohmer, M.; Doll, F.; Liesch, T.
2023. European Geosciences Union General Assembly (EGU 2023), Vienna, Austria, April 23–28, 2023. doi:10.5194/egusphere-egu23-12842
Using Convolutional Neural Networks To Evaluate Long‐Term Groundwater Trends In Germany
Wunsch, A.; Broda, S.; Liesch, T.
2021, September 9. 48th IAH Congress (2021), Brussels, Belgium, September 6–10, 2021
Deep Learning based assessment of groundwater level development in Germany until 2100
Wunsch, A.; Liesch, T.; Broda, S.
2021, April 30. European Geosciences Union General Assembly (EGU 2021), Online, April 19–30, 2021. doi:10.5194/egusphere-egu21-9590
Modeling the discharge behavior of an alpine karst spring influenced by seasonal snow accumulation and melting based on a deep-learning approach
Liesch, T.; Wunsch, A.; Chen, Z.; Golscheider, N.
2021, April 29. European Geosciences Union General Assembly (EGU 2021), Online, April 19–30, 2021. doi:10.5194/egusphere-egu21-12181
Feature-basiertes Clustering von Umweltzeitreihen mit Self-Organizing-Map-Ensembles
Wunsch, A.; Liesch, T.; Broda, S.
2020, October 2. 50. Back to the future. 50. Jahrestagung der Gesellschaft für Informatik (Informatik 2020), Online, September 28–October 2, 2020
Uncover Similarities of Groundwater Dynamics with Machine Learning based Hydrograph Clustering (Oral Talk IN43A-07)
Wunsch, A.; Liesch, T.; Broda, S.
2019, December 12. Fall Meeting (AGU 100 2019), San Francisco, CA, USA, December 9–13, 2019
Wochen-, Monats- und Jahreszeitenvorhersage von Grundwasserständen mit künstlichen neuronalen Netzen
Broda, S.; Wunsch, A.; Liesch, T.; Reichling, J.
2018, March 22. 26. Grundwasser im Umfeld von Bergbau, Energie und urbanen Räumen - Tagung der Fachsektion Hydrogeologie e. V. in der DGGV e.V. (2018), Bochum, Germany, March 21–24, 2018
Posters
Results from the 2022 Groundwater Time Series Modeling Challenge
Collenteur, R.; Haaf, E.; Liesch, T.; Wunsch, A.; Bakker, M.
2023. European Geosciences Union General Assembly (EGU 2023), Vienna, Austria, April 23–28, 2023. doi:10.5194/egusphere-egu23-9341
Groundwater Level Forecasting with Artificial Neural Networks: A Comparison of LSTM, CNN and NARX
Wunsch, A.; Liesch, T.; Broda, S.
2020, December 15. 101. AGU Fall Meeting (2020), Online, December 1–17, 2020

Supervised Bachelor and Master Theses

master theses

2019Numerical flow modelling for the optimisation of the residual flow of a landfill remediation measure

Modelling of groundwater flow in the Lake Chad basin

Special features of groundwater flow modelling at a fen site

Numerical groundwater modelling in the vicinity of a remediation measure of the Kochendorf am Neckar lock system
2018Comparison of different methods for the selection of groundwater reference monitoring sites using the example of Hesse

Numerical modelling of groundwater hydraulics and pollutant transport in the case of groundwater damage by LHKW near Kronach/Upper Franconia

Investigation of the influence of long-period climatic fluctuations on groundwater levels by means of principal component and wavelet analysis
20173D groundwater flow modelling at the Brandenburg an der Havel lock

Comparison of different borehole methods to determine the vertical hydraulic permeability distribution

Statistical relationships between diseases and groundwater constituents

Suitability of high-frequency satellite precipitation data for the development and improvement of conceptual precipitation-runoff models

Artificial neural networks for forecasting groundwater levels using Artificial Neural Networks

Possibilities of applying automated data validation procedures to hydrogeological data

Effects of a flood of the Alb River on the groundwater in the southern part of the city of Karlsruhe
2016Experimental and numerical investigations of non-linear effects in infiltration experiments

Interactions between karst and pore aquifers in the Donauried region

Experimental and numerical investigations at a planned site for artificial groundwater recharge in Deir Alla, Jordan
2015Quantification of the exchange dynamics between groundwater and surface water following a dike relocation
2014Hydrogeological investigations at the seepage slot trench and seepage string of the Neckartailfingen waterworks

Investigation of hydrogeological causes of land subsidence in the Rhine-Neckar region

Assessment of the influence of a construction measure on the interaction of surface water and groundwater (3D-FE modelling)
2013Hydrogeological investigations on groundwater-induced changes in the solution-sensitive subsoil in the area of the Hessigheim am Neckar barrage

Investigations on the origin of uranium in the groundwater of Baden-Württemberg

Vertical surface offset and solution denudation in the South German strata landscape

Groundwater-induced changes in the solution-sensitive subsoil below the Hessigheim am Neckar lock system

Suitability of a combined extraction-input-well system for thermal groundwater utilisation
2012Hydrogeological modelling of the catchment area of a mineral water well in the Upper Rhine Graben

Time update and calibration of the large-scale numerical groundwater model of Karlsruhe

Temperature as a tracer to determine the inflow from surface waters into the groundwater - Numerical calculations of groundwater flow and heat transport

Groundwater recharge and groundwater dynamics in the urban area of Pforzheim

Bachelor Theses

2018Research, compilation and evaluation of freely available, groundwater-relevant data in Europe
2016Regionally significant karst aquifer systems in the territory of the Russian Federation
2015Characterisation of groundwater movement in the Donauried region

Comparison of analytical methods for estimating temperature as a tracer in groundwater flow processes

Hydrogeological investigations in the Black Forest National Park
2014Determination of the horizontal and vertical permeability of a river bed with various hydraulic tests

Groundwater quality along transects through the Karlsruhe urban area
2013Depth-oriented characterization of the solution processes in the area of the lock Hessigheim with sulfate as natural tracer

Comprehensive characterization of the solution processes in the area of the lock Hessigheim with sulfate as natural tracer
2012Hydrogeological concept model of the Deir Alla region, Jordan

Evaluation of hydrochemical analyses to assess the emergency wells in Karlsruhe on the basis of legal requirements for emergency water supply

The impact of energy crop cultivation for biofuel production on water quality and quantity - Theoretical foundations and case study

Geohazards in karst

Thermal use of spring waters in the Alpine region - Basic principles and feasibility study for Riezlern, Kleinwalsertal, Austria
2010Comparative investigation of different activated carbon products with regard to their suitability in labelling experiments with fluorescent dyes

Preparation and execution of a tracer test on the military training area Grafenwöhr/Upper Palatinate

Investigations on the degradation behaviour of fluorescent tracers under the influence of heat

Investigations on the degradation behaviour of fluorescent tracers under the influence of cold

Comparative investigation of different eluants for the desorption of Amidorhodamine G from activated carbon

Comparative investigation of different activated carbon products with regard to their suitability in labelling experiments with fluorescent dyes