A method for flood hazard mapping based on basin morphometry: application in two catchments in Greece

• Published in: Natural hazards (Dordrecht) 2011-03, Vol.56 (3), p.803-814
• Main Author: Diakakis, Michalis
• Format: Article
• Language: English
• Subjects: Basins; Catchments; Civil Engineering; Drainage patterns; Earth and Environmental Science; Earth Sciences; Earth, ocean, space; Engineering and environment geology. Geothermics; Environmental Management; Exact sciences and technology; Flash floods; Flood hazards; Floods; Flow rates; Geographic information systems; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Hazards; Hydrogeology; Hydrology; Mapping; Natural Hazards; Natural hazards: prediction, damages, etc; Networks; Original Paper; Rainfall; Risk assessment; River basins; Runoff; Rural catchments; Spatial distribution; Unit hydrographs; Zonation
• ISSN: 0921-030X; 1573-0840
• DOI: 10.1007/s11069-010-9592-8

Basin morphometric parameters play an important role in hydrological processes, as they largely control a catchment’s hydrologic response. Their analysis becomes even more significant when studying runoff reaction to intense rainfall, especially in the case of ungauged, flash flood prone basins. Unit hydrographs are one of the useful tools for estimating runoff when instrumental data are inadequate. In this work, instantaneous unit hydrographs based on the time-area method have been compiled along the drainage networks of two small rural catchments in Greece, situated approximately 25 km northeast of its capital, Athens. The two catchments drained by ephemeral torrents, namely Rapentosa and Charadros, have been subject to flash flooding during the last decades, which caused extensive damages at the local small towns of Marathon and Vranas. Hydrograph compilation in numerous locations along the catchments’ drainage networks directly reflected the runoff conditions across each basin against a given rainfall. This gave a holistic assessment of their hydrologic response, allowing the detection of areas where peak flow rates were elevated and therefore, there was higher flood potential. The resulting flood hazard zonation showed good correlation with locations of damages induced by past flood events, indicating that the method can successfully predict flood hazard spatial distribution. The whole methodology was based on geographic information software due to its excellent capabilities on storing and processing spatial data.