Application and validation of FLEMOcs – a flood-loss estimation model for the commercial sector
Open Access
- 29 November 2010
- journal article
- research article
- Published by Informa UK Limited in Hydrological Sciences Journal
- Vol. 55 (8), 1315-1324
- https://doi.org/10.1080/02626667.2010.536440
Abstract
The estimation of flood loss is difficult, especially in the commercial sector, because of its great inhomogeneity. However, the reliability of loss modelling is fairly unknown, since flood-loss models are scarcely validated. The newly developed Flood Loss Estimation MOdel for the commercial sector (FLEMOcs) was validated on the micro-scale using a leave-one-out cross-validation procedure. Additionally, different meso-scale loss functions were compared. Meso-scale model application was undertaken in 19 municipalities which were affected during the 2002 flood in Germany. Model results were compared with the results of three other loss models, as well as with official loss records. The micro-scale validation shows very good results, with no bias and mean absolute errors between 23 and 31%. The meso-scale validation indicates that FLEMOcs provides good results, especially in large areas with many affected companies where high losses are expected. Citation Seifert, I., Kreibich, H., Merz, B. & Thieken, A. H. (2010) Application and validation of FLEMOcs – a flood-loss estimation model for the commercial sector. Hydrol. Sci. J. 55(8), 1315–1324.Keywords
This publication has 13 references indexed in Scilit:
- Development of FLEMOcs – a new model for the estimation of flood losses in the commercial sectorHydrological Sciences Journal, 2010
- Flood precaution of companies and their ability to cope with the flood in August 2002 in Saxony, GermanyWater Resources Research, 2007
- HAZUS-MH Flood Loss Estimation Methodology. II. Damage and Loss AssessmentNatural Hazards Review, 2006
- How Accurate are Disaster Loss Data? The Case of U.S. Flood DamageNatural Hazards, 2005
- Accounting for variability in commercial flood damage estimationAustralian Geographer, 2004
- A mathematical model for flood loss estimationJournal of Hydrology, 2003
- A simple raster-based model for flood inundation simulationJournal of Hydrology, 2000
- Ex post analysis of flood control: Benefit‐cost analysis and the value of informationWater Resources Research, 1988
- Uses and abuses of cross-validation in geostatisticsMathematical Geology, 1987
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979