This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.
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Abstract
Study region
Four perialpine lakes in Switzerland, with different levels of lake level management.
Study focus
Alpine regions are particularly sensitive to climate change due to the pronounced effect on snow and glacial melt. In this context, large perialpine lakes play a crucial role in modulating climate change impacts on water resources, which brings together diverse interests. However, climate change studies on river systems rarely include lakes or lake level management. An open question is how to incorporate lake level management effects into hydrologic simulations to project climate change impacts. We combine the hydrologic model PREVAH with the hydrodynamic model MIKE11 to simulate lake level and outflow scenarios from 1981 to 2099, using the Swiss climate change scenarios CH2018.
New hydrological insights for the region
The hydrological projections at the end of the century show pronounced seasonal changes in lake levels, characterised by an increase in winter and a decrease in summer when water demand is highest. Without climate mitigation measures, this summer decrease ranges from -0.04 m for a regulated lake to -0.4 m for an unregulated lake. In addition, the simulations indicate more frequent drought events. The projected changes intensify with time and missing climate mitigation measures. Future work could focus on interannual variability to explore regulatory strategies under changing conditions.
DOI
https://doi.org/10.31223/X59D4V
Subjects
Engineering
Keywords
Lake level regulation, climate change, impact assessment, hydrologic & hydrodynamic modelling, perialpine lakes, climate change, impact assessment, hydrologic & hydrodynamic modelling, perialpine lakes, Switzerland
Dates
Published: 2023-07-20 02:23
Last Updated: 2024-07-29 08:56
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License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper
Data Availability (Reason not available):
https://www.envidat.ch/dataset/lake_cc_scenarios_ch2018?__no_cache__=True
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