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Mapping Uncertainties – A case study on a hydraulic model of the river Voxnan.
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Land and Water Resources Engineering.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This master thesis gives an account for the numerous uncertainties that prevail one-dimensional hydraulic models and flood inundation maps, as well as suitable assessment methods for different types of uncertainties. A conducted uncertainty assessment on the river Voxnan in Sweden has been performed. The case study included the calibra-tion uncertainty in the spatially varying roughness coefficient and the boundary condi-tion uncertainty in the magnitude of a 100-year flood, in present and future climate conditions.

By combining a scenario analysis, GLUE calibration method and Monte Carlo analysis, the included uncertainties with different natures could be assessed. Significant uncer-tainties regarding the magnitude of a 100-year flood from frequency analysis was found. The largest contribution to the overall uncertainty was given by the variance between the nine global climate models, emphasizing the importance of including projections from an ensemble of models in climate change studies.

Furthermore, the study gives a methodological example on how to present uncertainty estimates visually in probabilistic flood inundation maps. The conducted method of how the climate change uncertainties, scenarios and models, were handled in frequency analysis is also suggested to be a relevant result of the study.

Place, publisher, year, edition, pages
, TRITA-LWR Degree Project, ISSN 1651-064X ; 2015:23
Keyword [en]
Hydraulic modelling; Flood inundation map; Uncertainty assess-ment; Climate change; Frequency analysis; Calibration; MIKE 11; Voxnan
National Category
Civil Engineering
URN: urn:nbn:se:kth:diva-173848OAI: diva2:855446
Educational program
Master of Science in Engineering - Energy and Environment
Available from: 2015-09-21 Created: 2015-09-21 Last updated: 2015-09-21Bibliographically approved

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