Prof. Dr. Gabriele Chiogna

GC

Prof. Dr. Gabriele Chiogna

Professorship for Applied Geology and Environmental Systems Modeling

Professors

Address

Schlossgarten 5 91054 Erlangen

Research Interests

  • Modelling of karst and porous aquifers
  • Mixing processes
  • Alpine hydrology
  • Environmental impacts of hydropower production

Curriculum Vitae

Civil status: Married, 3 children.

Education

  • 06.11.2019 | German Habilitation in Hydrology | TU Munich
  • 05.04.2017 Italian Habilitation in Sector 08/A1 Hydraulics, Hydrology and Hydraulic Constructions
  • 2007 – 2011 | Ph.D. Degree in Geology, University of Tuebingen, Germany Thesis: “Transverse mixing of conservative and reactive tracers in porous media‟.
  • 2010 | Visiting PhD student at Stanford University, USA. (October – December).
  • 2007 – 2009 | Master’s degree in Applied Environmental Geosciences, University of Tübingen | Thesis: “The Relevance of Compound Dependent Dispersion Coefficients for Modeling of Mixing-Controlled Reactive Transport”.
  • 2005 – 2007 | Italian-German Double degree program in Physics, University of Tübingen and University of Trento | Thesis: “The Derivative Riemann Problem in Special Relativistic Hydrodynamics”.
  • 2002 – 2005 | Bachelor’s degree in Physics, University of Trento, Italy | Thesis: “Electric characterization of BJT silicon radiation detectors”.

Professional Career

  • 01.04.2024 – present | Professor of Applied Geology and Modeling of Environmental Systems |Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
  • 2023 – present Board member of the hydropeaking research network
  • 2023 – present | Associate editor Journal of Hydrology
  • 2022 | Editors’ Citation for Excellence in Refereeing for Water Resources Research
  • 2021 | Editors’ Citation for Excellence in Refereeing for Water Resources Research
  • 01.03.2021 – present | Adjunct Professor of Sustainable Resources Management University of Innsbruck, Austria
  • 07.11.2019 – 31.03.2024 | Privat Dozent at the Chair of Hydrology and River Basin Management, Faculty of Civil, Geo and Environmental Engineering Technical University of Munich, Germany
  • 10.2016 – present | Associate Editor Hydrological Science Journal
  • 10.01.2021 – 31.12.2021 | Participation to the Flying Faculty Program of the German Jordanian University, Visiting Lecturer
  • 01.10.2016 – 30.09.2020 | Professor of Sustainable Resources Management University of Innsbruck, Austria
  • 01.01.2015 – 06.11.2019 | Group Leader at the Chair of Hydrology and River Basin Management, Faculty of Civil, Geo and Environmental Engineering Technical University of Munich, Germany
  • 31.10.2012 – 17.02.2017 | Board member and founder of the Academic spin-off of the University of Trento Smart Hydrogeological Solutions srl Italy
  • 15.04.2011 – 31.03.2015 | Freelance scientific consultant (groundwater risk assessment, groundwater remediation, applied research projects, patent management and application)
  • 01.09-2015 – 31.10.2015 | Visiting lecturer at the Department of Civil Environmental and Mechanical Engineering University of Trento, Italy
  • 01.04.2013 – 15.01.2015 | Post-Doctoral Fellow at the Center for Applied Geoscience University of Tübingen, Germany
  • 01.11.2013 – 10.12.2013 | Visiting scientist in the Department of Civil Engineering Universidad de Chile, Chile
  • 21.03.2011 – 20.03.2013 | Post-Doctoral Fellow at the department of Civil and Environmental Engineering University of Trento, Italy

Schlüsselpublikationen

  1. Chiogna G., Eberhardt C., Grathwohl P., Cirpka O.A. and Rolle M. (2010), Evidence of compound dependent hydrodynamic and mechanical transverse dispersion by multi-tracer laboratory experiments, Environ. Science and Technology, 44, 666-693. doi:10.1021/es9023964
  2. Chiogna G., Hochstetler D. L., Bellin A., Kitanidis P. K. and Rolle M. (2012), Mixing, entropy and reactive solute transport, Geophys. Res. Lett., 39, L20405. doi:10.1029/2012GL053295.
  3. Chiogna G., Cirpka O.A., Rolle M. and Bellin A. (2015) Helical flow in three-dimensional non-stationary anisotropic heterogeneous porous media. Water Resour. Res. doi: 10.1002/2014WR015330.
  4. Marcolini G., Bellin A. and Chiogna G. (2017) Performance of the Standard Normal Homogeneity Test for the homogenization of mean seasonal snow depth time series, International Journal of Climatology 37 (S1), 1267-1277
  5. Chiogna G., Marcolini G., Liu W., Pèrez Ciria T. and Tuo Y. (2018) Coupling hydrological modelling and support vector regression to model hydropeaking in alpine catchments Sci. Tot. Env., 633, 220-229
  6. Pérez Ciria T, Labat D, Chiogna G*. (2019). Recent and historical effects of hydropeaking on streamflow time series at multiple spatial and temporal scales in the Adige and Inn River Basins. Journal of Hydrology, 124021
  7. Bittner, D., Parente, M. T., Mattis, S., Wohlmuth, B., & Chiogna, G. (2020). Identifying relevant hydrological and catchment properties in active subspaces: An inference study of a lumped karst aquifer model. Advances in Water Resources, 135, 103472.
  8. Matiu, M., Crespi, A., Bertoldi, G., Carmagnola, C. M., Marty, C., Morin, S., … & Kotlarski, S. (2021). Observed snow depth trends in the European Alps 1971 to 2019. The Cryosphere, 1-5
  9. Basilio Hazas, M., Marcolini, G., Castagna, M., Galli, M., Singh, T., Wohlmuth, B., & Chiogna, G. (2022). Drought conditions enhance groundwater table fluctuations caused by hydropower plant management. Water Resources Research58(10), e2022WR032712.
  10. Richieri, B., Bittner, D., Hartmann, A., Benettin, P., van Breukelen, B. M., Labat, D., & Chiogna, G. (2023). Using continuous electrical conductivity measurements to derive major solute concentrations in karst systems. Hydrological Processes37(6), e14929.

2026

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2009

  • RIVERCAST – KI-gestützte Optimierung der Vorhersage und Steuerung von Hochwasserereignissen


    (Third Party Funds Single)
    Project leader:
    Term: 1. October 2025 - 30. September 2028
    Acronym: Rivercast
    Funding source: andere Förderorganisation
    Das Projekt RIVERCAST zielt darauf ab, verschiedene Methoden zur Verbesserung des planerischen und operativen Hochwasserschutzes zu entwickeln und im südlichen Erfteinzugsgebiet konkret umzusetzen. Die Ausrichtung orientiert sich dabei stark am 10-Punkte-Arbeitsplan des MULNV (heute MUNV) sowie bekannten Defiziten von Hochwassermangement und Hochwasserschutzplanung. Zentrales Element ist der Einsatz moderner KI-Modelle für die dargestellten Fragestellungen. Diese Modelle verwenden die Daten vorhandener und zusätzlich zu installierender Messtationen und integrieren weitere verfügbare Informationen (radarbasierter Niederschlag, Niederschlagsprognosen, Leitfähigkeiten, Bodenfeuchte, etc.).

    Auf diese Weise sollen zum einen die Zuflussprognosen zu bestehenden Hochwasserrückhaltebecken verbessert werden. Der Einsatz KI–basierter Prognosen als Ergänzung zu Niederschlag-Abfluss-basierten Abflussvorhersagen ist unserer Kenntnis nach neu und kann perspektivisch auch zu einer Verbesserung eines landesweiten Hochwasservorhersagesystems beitragen.
  • Transferring knowledge of probabilistic groundwater flood maps for improved risk assessment


    (Third Party Funds Single)
    Project leader: ,
    Term: 1. June 2025 - 31. October 2025
    Funding source: andere Förderorganisation
  • Grundwasserüberschwemmungen: Entwicklung eines Ansatzes zur Risikobewertung und -kommunikation


    (Third Party Funds Single)
    Project leader:
    Term: 19. April 2025 - 18. October 2026
    Acronym: GrARBeKo
    Funding source: Deutsche Bundesstiftung Umwelt

    Asclimate change drives more frequent extreme weather events, groundwaterflooding poses an increasing threat to infrastructure and public safety. TheGrARBeKo project (Grundwasserüberschwemmungen: Entwicklung eines Ansatzes zurRisikobewertung und -kommunikation) addresses this challenge by developing arobust, data-driven methodology for risk assessment and public engagement.

    Ledby Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), the project bringstogether key partners:

    • Okeanos Smart Data Solutions GmbH (AI and hydroinformatics),
    • Zentrum für Digitale Entwicklung GmbH (ZDE) (citizen participation and strategic communication),
    • KI-P GmbH (sensor integration and data visualization), and
    • the City of Garching, which contributes monitoring infrastructure and supports public outreach.

    UsingGarching as a pilot site, GrARBeKo combines groundwater modeling (MODFLOW) withmachine learning techniques (ML) to generate rapid, high-resolution flood riskmaps. By involving citizens in the installation of low-cost sensors and thecollection of real-world data, such as water levels in basements, the projectstrengthens both the technical models and community awareness.

    Theproject also aims to test innovative sensing technologies, improve uncertaintyquantification using Bayesian inference, and produce guidelines that can beadapted by other municipalities. In this way, GrARBeKo improves floodpreparedness locally while offering a scalable model for climate resilienceplanning.

  • UnSAT-EIE - Kopplung der Boden-Aquifer-Behandlung und der technischen Injektion und Extraktion zur Verbesserung der Durchmischung an der Schnittstelle zwischen der gesättigten und der ungesättigten Zone


    (Third Party Funds Single)
    Project leader: ,
    Term: 1. April 2025 - 31. March 2028
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
  • Ursachen und Risikobewertung von Grundwasserüberschwemmung


    (Third Party Funds Single)
    Project leader:
    Term: 1. April 2024 - 30. September 2025
    Acronym: URGRUND
    Funding source: andere Förderorganisation

    Grundwasserüberschwemmungenkönnen schwere Schäden an Häusern, Versorgungseinrichtungen und Infrastrukturenverursachen und zu erheblichen wirtschaftlichen und soziale Kosten führen.Numerische Modelle werden eingesetzt, um diese Ereignisse zu verstehen, undbilden die Grundlage für die Erstellung von Produkten für das Risikomanagementund die Kommunikation. Im Gegensatz zu pluvialen und fluvialen Überschwemmungenist ein offenes Problem bei der Analyse der Anfälligkeit fürGrundwasserüberschwemmungen das Fehlen einer probabilistischen Bewertung, dieparametrische Unsicherheiten berücksichtigen. Daher schlagen wir einenBayes-basierten Rahmen vor, um probabilistische Risikokarten zu erstellen unddie Anfälligkeit für Grundwasserüberschwemmungen zu ermitteln.

    Unsere Forschungsfragen sinddeshalb:

    -       Ist es möglich die Ursachen vonGrundwasserüberschwemmungen zu identifizieren unter Berücksichtigung derUnsicherheiten von Modellparametern und verfügbaren Messungen?

    -       Ist es möglich mittels der Modellergebnisse einFrühwarnsystem basierend auf Grundwassermessungen zu entwickeln und validieren?

    -       Welche technischen Maßnahmen können das Risikovon Grundwasserüberschwemmungen reduzieren und mit welchen Sicherheitsgrad?

    Diese Forschungsfragen werdenbeantwortet mit Hilfe der Daten, die für die Gemeinde Garching im Dezember 2023und Januar 2024 gesammelt wurden und der Messungen die im Projekt durchgeführtwerden.

  • Impact of climate change on groundwater storage in high Alpine catchments: from observation to model predictions


    (Third Party Funds Group – Sub project)
    Overall project: Sensitivity of High Alpine Geosystems to Climate Change Since 1850 (SEHAG)
    Project leader:
    Term: 1. April 2024 - 31. December 2025
    Funding source: DFG / Forschungsgruppe (FOR)
  • RObust Conceptualisation of KArst Transport - ROCKAT


    (Third Party Funds Single)
    Project leader:
    Term: 1. April 2024 - 31. March 2025
    Acronym: ROCKAT
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

    Conceptual bucket models are widely used to predict spring discharge in karstic watersheds, while solute transport modeling still remains challenging. We hypothesize that a parallelized robust conceptualization of discharge and transport significantly improves the representation of hydrological processes in the different karst compartments, i.e. soil-epikarst, matrix and conduits systems. We will apply a multi-temporal scale calibration approach, i.e. waveletanalysis, to get a well-constrained discharge and solute Transport simulation and process representation. Using the experimental results of tailored event-based sampling campaigns, we will decompose time series of electrical conductivity with a high temporal resolution into themajor ions concentrations to determine relevant factors affecting transport processes in the different parts of karstic systems. Based on our findings, we will develop transport models of different complexities and validate those for multiple karst systems.

  • Capacity building for management and governance of MICROplastics in DRINKing water resources of Danube Region


    (Third Party Funds Single)
    Project leader:
    Term: 1. April 2024 - 20. June 2026
    Acronym: MicroDrink
    Funding source: Bayerisches Staatsministerium für Wissenschaft und Kunst (StMWK) (seit 2018)
    URL: https://interreg-danube.eu/projects/microdrink
  • Impact of surface water management on groundwater mixing in Alpine catchments


    (Third Party Funds Single)
    Project leader:
    Term: 1. April 2024 - 31. March 2025
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

    Geophysical flows are generally characterized by complex spatial and temporal dynamics, which often control solute spreading, dilution and reactive mixing. Inefficient mixing, typical of flows occurring at low Reynolds numbers, such as groundwater flows, may significantly decrease the effective reaction rate observed in the system. Mixing is particularly relevant for environmental pollution of groundwater bodies since it may hinder contaminant degradation. Considering mixing limited conditions, the topology of the flow field and kinematic processes such as stretching and folding occurring at multiple spatial and temporal scales play a pivotal role in the quantification and understanding of the fate and transport of contaminants. Our hypothesis in this project is that the dynamic interaction between surface water and groundwater is of pivotal importance to properly quantify mixing in porous aquifers. In particular, we aim at investigating how surface water management in Alpine catchments affected by strong anthropogenic impacts (i.e., hydropeaking generated by hydropower production) controls mixing processes at multiple temporal scales (subdaily, daily, weekly, seasonal) in aquifers. The project aims at developing and applying appropriate topological and kinematic metrics which can be used as predictors of mixing, at developing novel numerical approaches to solve inverse problems under such complex and transient conditions and at estimating parameter uncertainty. Beside numerical simulations, the methods developed in this project will be tested in a real case study, i.e., the Adige aquifer in Trento, Italy. The novelty of the proposed research lays in the investigation of i) the impact of surface water management in Alpine catchments on groundwater flow in alluvial aquifers (i.e, beyond the hyporheic zone); ii) the influence of highly transient interface transmission conditions on the topology of the two dimensional and three dimensional groundwater flow fields; iii) the development of accurate inversion numerical schemes for the solution of the flow equation under highly transient boundary conditions; iv) the quantification of the uncertainty related to model prediction considering both hydrogeological parameter uncertainty as well as the uncertainty affecting transient interface conditions.

  • Chaotic ADvection and Mixing Enhancement in Porous Media: The Quest for Experimental Evidence


    (Third Party Funds Single)
    Project leader:
    Term: 1. April 2024 - 31. December 2026
    Acronym: ChaosAD
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

    Mixing of fluids is of primary importance in many fields of science and technology. Considering porous media, mixing processes are generally inefficient, but mixing enhancement can be potentially achieved by enhancing plume deformation through stretching and folding engineering the flow field using injection-extraction systems orin systems naturally displaying a complex transient dynamic such as the effect of tides. Previous studies have been performed at multiple scales (i.e. pore-scale, Darcy-scale, field and regional scale) mainly utilizing theoretical and modeling approaches, while experimental studies performed under controlled conditions are sparse. The proposed research aims at providing experimental evidence of the effects of chaotic advection on solute transport in saturated porous media under controlled laboratory conditions. The experimental work will be accompanied by the development of new advanced numericalmethods developed in the DUNE (Distributed Unified Numerics Environment) environment to perform an accurate model-based interpretation of the results. In addition, multi-parametric studies will also be performed in order to explore realistic scenarios which arebeyond the scope of laboratory experiments. This research project is innovative since it will investigate: 1) the effect of non-linear velocity dependence of dispersion and non-Fickian transport on chaotic advection; 2) the effect of incomplete mixing at the pore scale on the effective mixing enhancement due to chaotic advection; 3) the effectof the retardation and density effects affecting solute transport of chemically relevant species on the mixing enhancement achieved through chaotic advection; 4) the effect of chaotic advection on reactive processes. Moreover, we aim at providing a link betweenmetrics describing chaotic advection and mixing at the Darcy scale which is actually missing and it can be achieved using a model-based interpretation of the experimental results collected in this research project.

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