Palaeoflood discharge estimation using dendrogeomorphic methods, rainfall-runoff and hydraulic modelling—a case study from southern Crete

Stanislav Ruman (), Radek Tichavský, Karel Šilhán and Manolis G. Grillakis
Additional contact information
Stanislav Ruman: University of Ostrava
Radek Tichavský: University of Ostrava
Karel Šilhán: University of Ostrava
Manolis G. Grillakis: Institute for Mediterranean Studies, Foundation for Research and Technology Hellas

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 105, issue 2, No 25, 1742 pages

Abstract: Abstract This study represents the first palaeoflood discharge estimation using dendrogeomorphic evidence from two ungauged catchments in southern Crete. Dendrogeomorphological methods, rainfall-runoff and hydraulic modelling were applied to estimate the palaeoflood discharge of the 2000 flood event. We developed two scenarios (QHydraulic, QRR) of peak discharges in the short reaches of the Ilingas and Sfakia catchments. Scenario QRR was based on the results of the uncalibrated rainfall-runoff model HEC-HMS. The calculated discharges were equal to 35.9 m3 s−1 in the Ilingas reach and 7.6 m3 s−1 in the Sfakia reach. The second scenario, QHydraulic was based on the output of the two-dimensional hydraulic model IBER, which was calibrated using six palaeostage indicators obtained during a field survey. The reconstructed discharge for the QHydraulic scenario was equal to 26.3 m3 s−1 in Ilingas and 11.2 m3 s−1 in Sfakia. Deviation (26.7% in Ilingas and 32.1% in Sfakia) between the scenarios were attributed mainly to the uncertainties of in flood reconstruction using the palaeostage indicators and uncalibrated rainfall-runoff model. We further investigated uncertainty in Manning’s roughness coefficient, which caused deviations in peak discharges with the range of these deviations defined within ± 40% in the Ilingas reach and ± 36% in the Sfakia reach.

Keywords: Dendrogeomorphology; Palaeostage indicators; Hydrologic modelling; Channel roughness (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-020-04373-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:105:y:2021:i:2:d:10.1007_s11069-020-04373-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-020-04373-2

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().