Stochastic Simulation and Safety Research for Hydrosystems

  1. 2019

    1. Haas J. Optimal planning of hydropower and energy storage technologies for fully renewable power systems [Internet] [Doctoral dissertation]. Universität Stuttgart; 2019. Available from: https://elib.uni-stuttgart.de/handle/11682/10314
    2. Chow R. Modelling Surface Water-Groundwater Exchange: Evaluating Model Uncertainty from the Catchment to Bedform-Scale [Internet] [Doctoral dissertation]. Universität Tübingen; 2019. Available from: https://publikationen.uni-tuebingen.de/xmlui/handle/10900/89044
    3. Most S. Analysis and simulation of anomalous transport in porous media [Internet] [Doctoral dissertation]. Universität Stuttgart; 2019. Available from: https://elib.uni-stuttgart.de/handle/11682/10511
    4. Höge M. Bayesian multi-model frameworks - Properly Addressing Conceptual Uncertainty in Applied Modelling [Internet] [Doctoral dissertation]. Universität Tübingen, Tübingen, Germany; 2019. Available from: https://publikationen.uni-tuebingen.de/xmlui/handle/10900/87769
  2. 2018

    1. Bode F. Early-warning monitoring systems for improved drinking water resource protection [Internet] [Doctoral dissertation]. Universität Stuttgart; 2018. Available from: https://elib.uni-stuttgart.de/handle/11682/10285
  3. 2017

    1. Sinsbeck M. Uncertainty quantification for expensive simulations : optimal surrogate modeling under time constraints [Internet] [Doctoral dissertation]. Universität Stuttgart; 2017. Available from: https://elib.uni-stuttgart.de/handle/11682/9223
  4. 2016

    1. Guthke A. Bayesian assessment of conceptual uncertainty in hydrosystem modeling [Internet] [Doctoral dissertation]. Universität Tübingen; 2016. Available from: https://bibliographie.uni-tuebingen.de/xmlui/handle/10900/71412
  5. 2014

    1. Koch J. Simulation, identification and characterization of contaminant source architectures in the subsurface [Internet] [Doctoral dissertation]. Universität Stuttgart; 2014. Available from: http://elib.uni-stuttgart.de/opus/volltexte/2014/9488/
    2. Oladyshkin S. Efficient Modeling of Environmental Systems in the Face of Complexity and Uncertainty [Internet]. Habilitationsschrift Nr. 231, Mitteilungsheft des Instituts für Wasserbau Nr. 231 (Habilitationsschrift) Institut für Wasserbau, Universität Stuttgart, 2014. ISBN: 978-3-942036-35-1; 2014. Available from: http://elib.uni-stuttgart.de/opus/volltexte/2015/9523/
    3. Geiges A. Efficient concepts for optimal experimental design in nonlinear environmental systems [Internet] [Doctoral dissertation]. Universität Stuttgart; 2014. Available from: http://elib.uni-stuttgart.de/opus/volltexte/2015/9809/
    4. Enzenhöfer R. Risk Quantification and Management in Water Production and Supply Systems [Internet] [Doctoral dissertation]. Universität Stuttgart; 2014. Available from: http://elib.uni-stuttgart.de/opus/volltexte/2014/9015/
  6. 2013

    1. Kröker I. Stochastic models for nonlinear convection-dominated flows [Doctoral dissertation]. Universität Stuttgart; 2013.
    2. Leube P. Methods for Physically-Based Model Reduction in Time: Analysis, Comparison of Methods and Application [Internet] [Doctoral dissertation]. Universität Stuttgart; 2013. Available from: http://elib.uni-stuttgart.de/opus/volltexte/2013/8801/
  7. 2005

    1. Nowak W. Geostatistical Methods for the Identification of Flow and Transport Parameters in Subsurface Flow [Internet] [Doctoral dissertation]. Universität Stuttgart; 2005. Available from: https://elib.uni-stuttgart.de/handle/11682/218
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