Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Hydrologické extrémy v krajině v souvislosti se změnu klimatu v blízké budoucnosti
Thesis title in Czech: Hydrologické extrémy v krajině v souvislosti se změnu klimatu v blízké budoucnosti
Thesis title in English: Hydrological extremes in the landscape as a response to climate change in the near future
Key words: klimatická změna|hydrologické extrémy|klimatické modelování
English key words: hydrological extremes|climate change|climate modeling
Academic year of topic announcement: 2024/2025
Thesis type: dissertation
Thesis language:
Department: Department of Atmospheric Physics (32-KFA)
Supervisor: Jiří Jakubinský
Author:
Advisors: Mgr. Michal Belda, Ph.D.
Guidelines
The PhD. thesis will consist of two consecutive parts: i) climate projection using RCMs for the Czech Republic in the chosen time horizon in the near future (e.g. 2050) and ii) modelling the vulnerability of the landscape to the occurrence of hydrological extremes based on the appropriate modelling techniques. Hydrological modelling will be carried out for selected river basin(s), with climate projection providing an important input to the hydrological model. Data on expected land-use/land cover change in the Czech Republic is the possible next input. It is also assumed that the influence of different selected measures (both technical and nature-based solutions) will be considered in the modelling. The main objective of the PhD. thesis will be an analysis of the spatial distribution of sites within the selected basin(s) that are significantly vulnerable to the occurrence of extreme hydrological situations as an impact of climate change in Central Europe until 2050. In addition, the candidate's attention will also be focused on the issue of soil loss and sediment accumulation as a direct consequence of extreme hydrological situations. Therefore, the possible scenarios of vulnerability to hydrological risks, considering the different measures taken and taking into account the expected climate and environmental change impacts will represent the main outputs of the work.
References
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Kushnir Y. et al., 2019: Near-term climate prediction, Nat. Clim. Change, doi:10.1038/s41558-018-0359-7

Huszar, P., Halenka, T., Belda, M., Zak, M., Sindelarova, K., and Miksovsky, J., (2014): Regional climate model assessment of the urban land-surface forcing over central Europe. Atmos. Chem. Phys., 14, 12393-12413.

Prein, A. F., W. Langhans, G. Fosser, A. Ferrone, N. Ban, K. Goergen, M. Keller, M. Tölle, O. Gutjahr, F. Feser, et al. (2015): A review on regional convection-permitting climate modeling: Demonstrations, prospects, and challenges, Rev. Geophys., 53, 323–361. doi:10.1002/2014RG000475.

Ban, N., J. Schmidli, and C. Schär (2014): Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations, J. Geophys. Res. Atmos., 119, 7889–7907, doi:10.1002/2014JD021478.

Abbott, M. B., & Refsgaard, J. C. (Eds.) 2012: Distributed hydrological modelling (Vol. 22). Springer Science & Business Media.

Hanel, M., Kožín, R., Heřmanovský, M., & Roub, R. 2017: An R package for assessment of statistical downscaling methods for hydrological climate change impact studies. Environmental Modelling & Software, 95, 22-28.

Joseph, J., Ghosh, S., Pathak, A., & Sahai, A. K. 2018: Hydrologic impacts of climate change: Comparisons between hydrological parameter uncertainty and climate model uncertainty. Journal of Hydrology, 566, 1-22.

Mahé, G., Aksoy, H., Meddi, M (Eds.) 2019: Modeling and Practice of Erosion and Sediment Transport under Change. Special Issue published in Water, MDPI, 212 p.

Peel, M. C., & Blöschl, G. 2011: Hydrological modelling in a changing world. Progress in Physical Geography, 35(2), 249-261.

and further following the supervisor's instructions.
 
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