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@PHDTHESIS{Brisson:1022629,
      author       = {Brisson, Sofia Cecilia},
      othercontributors = {Wellmann, Florian and Scheck-Wenderoth, Magdalena and von
                          Hagke, Christoph},
      title        = {{P}robabilistic approaches to including uncertainty in
                      3-{D} geometric and kinematic models of the {E}astern {A}lps
                      and its foreland: implications for exhumation histories and
                      their link to deeper processes},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-10136},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2026; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2025},
      abstract     = {Deciphering the time-temperature evolution of the Alpine
                      orogen is key to understand the influence of deep-seated
                      processes on its exhumation. This is often done employing
                      thermokinematic models. One shortcoming of many current
                      approaches is that they are limited to 2-D and do not
                      consider structural or kinematic uncertainties, which can
                      have direct implications on accurately understanding
                      larger-scale processes of the Alps, such as the conjectured
                      Eastern Alps subduction polarity reversal. In this thesis, I
                      thus focus on developing 3-D modeling routines to include
                      structural and kinematic uncertainties in the Eastern Alps.
                      Using these models as base, I will explore the influence of
                      uncertainty on exhumation models and on the interpretation
                      of the tectonic evolution of the Eastern Alps. The first
                      focus of the thesis is on the Subalpine Molasse, the
                      foreland fold-thrust belt of the Alps, which is a key
                      element to resolve large-scale dynamics of the orogen. For
                      the first time, a procedure is created to account for
                      structural and kinematic uncertainty in complex, realistic,
                      3-D geological models of the Subalpine Molasse triangle
                      zone. Implicit and kinematic modeling packages are used to
                      create automated 3-D model realizations considering
                      parameter uncertainty. These routines are further integrated
                      into a Bayesian inversion framework, where thermal resetting
                      behavior from available low-temperature thermochronological
                      data is used as a modeling constraint to exhumation. The
                      developed approach marks the first implementation of
                      combining data from different thermochronometers with
                      probabilistic kinematic modeling in 3-D. Results from this
                      first part show that thermal resetting behavior can only
                      provide very broad constraints to exhumation and may not be
                      informative enough to achieve a decrease in uncertainty. The
                      simple benchmark studies show, however, that a greater data
                      density and/or using a combination of thermal resetting
                      behavior of different thermochronometers (i.e., enhancing
                      both spatial and temporal resolution) would render this
                      method very useful to obtain precise and accurate exhumation
                      estimates. The method is also potentially meaningful to
                      identify the need to consider alternative drivers of
                      exhumation. Next, I upscale these routines to the TRANSALP
                      section, a transect through the entire Alpine orogen. A
                      denser and more diverse thermochronological record is
                      employed to perform a quantitative model selection between
                      two 3-D orogen-scale geometric and kinematic hypotheses for
                      the TRANSALP section. One hypothesis supports subduction
                      polarity reversal, and the other does not. Results show that
                      using thermochronological record strongly supports the no
                      subduction polarity reversal model, as its geometry better
                      explains exhumation trends when considering parameter
                      uncertainty. I discuss these results in the context of
                      previously existing studies, that are mostly consistent with
                      a constant, southward subduction. It can be ascertained that
                      the developed method is useful, again, given the wide
                      availability of thermochronological data, to quantitatively
                      discriminate between different starting model hypotheses,
                      and is a practical way to address the ubiquitous subjective
                      uncertainties in geology.},
      cin          = {532610 / 530000 / 080052},
      ddc          = {550},
      cid          = {$I:(DE-82)532610_20140620$ / $I:(DE-82)530000_20140620$ /
                      $I:(DE-82)080052_20160101$},
      pnm          = {DFG project G:(GEPRIS)442495967 - Von plattentektonischen
                      Rekonstruktionen zu 4D geodynamischen Modellen von der
                      Alpine Gebirgsbildung (442495967) / SPP 2017:
                      Gebirgsbildungsprozesse in 4-Dimensionen (4D-MB)
                      (313806092)},
      pid          = {G:(GEPRIS)442495967 / G:(GEPRIS)313806092},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-10136},
      url          = {https://publications.rwth-aachen.de/record/1022629},
}