h1

h2

h3

h4

h5
h6
% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{Braun:1028100,
      author       = {Braun, Mark},
      othercontributors = {Wintgens, Thomas Josef and Wittowsky, Dirk},
      title        = {{A}bleitung von {S}zenarien und {M}onetarisierung der
                      {A}uswirkungen des {K}limawandels und anthropogener
                      {N}utzungen auf {N}iedrigwasserereignisse und die
                      {W}irtschaft am {R}hein},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2026-01451},
      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     = {The Rhine, with all its uses, is a waterway of outstanding
                      importance for water management. As climate change
                      progresses, climatic changes over the course of the 21st
                      century will lead to a shift in precipitation from summer to
                      winter and a general increase in extreme hydrological
                      events. Low water events caused by prolonged periods of
                      drought are a natural phenomenon, but their frequency and
                      intensity will increase in the future. In addition to their
                      ecological impact, they also cause considerable disruption
                      to inland navigation and the economy that depends on it
                      along the Rhine. Reliable navigability of the waterway is an
                      important location factor for the economy in the Rhine
                      catchment area. During low water periods, shipping and, in
                      particular, carriage on the Rhine can only take place at
                      reduced capacity, as the low water event in 2018 clearly
                      demonstrated. Shifting to other modes of transport such as
                      rail and road is only possible to a limited extent, meaning
                      that many goods cannot be transported. Entire economic
                      sectors along the Rhine are affected by the lack of
                      deliveries, leading to cascade effects and high losses in
                      added value. Therefore, in addition to climate protection,
                      climate adaptation is also becoming increasingly important
                      in order to cope with the inevitable consequences of climate
                      change. The possible adaptation measures for low water
                      events are known but require the participation of various
                      actors and stakeholders in order to achieve an integrated
                      low water management. Due to the often cost-intensive
                      investment requirements, a comparison with the benefits of
                      these measures is necessary in order to convince
                      decision-makers to invest. Monetary values are particularly
                      suitable for ensuring a comprehensible and transparent
                      comparison. This work provides a module for such a monetized
                      assessment of climatic and hydrological developments and
                      selected adaptation measures on the Rhine. To achieve this,
                      a (model-based) link between the topics of climate change,
                      hydrology, transport/logistics, and economics is
                      implemented. First, suitable climate scenarios are selected
                      for a forward-looking analysis of low water events. Current
                      SSP climate projections are evaluated for this purpose. The
                      LARSIM-ME water balance model and water level-discharge
                      relationships from the Federal Institute of Hydrology can
                      then be used to determine water levels at gauges relevant to
                      inland navigation in the Rhine catchment area. These are
                      then given into two economic models developed by Prognos AG,
                      which map the relationship between water levels and
                      transport modes as well as the economic interdependencies in
                      the Rhine catchment area. In this way, this work provides a
                      link between climatic, hydrological and economic data via a
                      closed model chain. The core of the work then consists of
                      deriving further hydrological scenarios for analyzing the
                      Rhine discharge system and selected anthropogenic uses. The
                      impact of various drivers, forms of use, and adaptation
                      options on low water levels and the economy along the Rhine
                      is presented using four economic parameters. A central
                      objective of the work is to determine the monetized
                      consequences of climate change and low water events on the
                      economy along the Rhine. The results are presented on the
                      basis of four low water scenarios identified by statistical
                      analysis for two global warming levels in the current
                      century. A counterfactual analysis allows the effects of
                      climate change and anthropogenic uses to be isolated,
                      assuming an otherwise static system with the economic
                      interdependencies that exist today. The economic effects are
                      presented on the basis of changes in the parameters of
                      production value, gross value added, number of employees,
                      and transport costs. The various economic regions and
                      sectors along the Rhine have specific characteristics and
                      are affected in different ways. One focus of the analysis is
                      on the federal state of North Rhine-Westphalia, where the
                      R2K-Klim+ research project (FKZ 01LR2008) is realized and
                      where a homogeneous data basis is available for several
                      questions. Further results are presented for the adaptation
                      options of a changed fleet composition and the project
                      “Abladeoptimierung Mittelrhein” planned in the 2030
                      Federal Transport Infrastructure Plan. These real measures
                      are simplified and parameterized for integration into the
                      models.},
      cin          = {314110},
      ddc          = {624},
      cid          = {$I:(DE-82)314110_20140620$},
      pnm          = {Verbundprojekt RegIKlim: Strategisches
                      Entscheidungsunterstützungstool zur Anpassung an den
                      Klimawandel auf regionaler und kommunaler Ebene im
                      Rheineinzugsgebiet - R2K-Klim+ TP 1: Entwicklung
                      maßgeschneiderter Klimafolgenanpassungsmaßnahmen auf
                      kommunaler und regionaler Ebene (01LR2008A) / Verbundprojekt
                      RegIKlim: Strategisches Entscheidungsunterstützungstool zur
                      Anpassung an den Klimawandel auf regionaler und kommunaler
                      Ebene im Rheineinzugsgebiet - R2K-Klim+ TP 1: Konzept zur
                      kommunalen Klimaanpassung; Verbundkoordination (01LR2008A1)},
      pid          = {G:(BMFTR)01LR2008A / G:(BMFTR)01LR2008A1},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2026-01451},
      url          = {https://publications.rwth-aachen.de/record/1028100},
}