Application and validation of FLEMOcs – a flood-loss estimation model for the commercial sector

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.

[1]  D. Dutta,et al.  A mathematical model for flood loss estimation , 2003 .

[2]  D. I. Smith.  Flood damage estimation - A review of urban stage-damage curves and loss functions , 1994 .

[3]  B. Merz,et al.  Development of FLEMOcs – a new model for the estimation of flood losses in the commercial sector , 2010 .

[4]  Hope A. Seligson,et al.  HAZUS-MH Flood Loss Estimation Methodology. I: Overview and Flood Hazard Characterization , 2006 .

[5]  M. Merz,et al.  Estimation of industrial and commercial asset values for hazard risk assessment , 2010 .

[6]  B. Merz,et al.  Flood damage and influencing factors: New insights from the August 2002 flood in Germany , 2005 .

[7]  MARY W. DOWNTON,et al.  How Accurate are Disaster Loss Data? The Case of U.S. Flood Damage , 2005 .

[8]  C. Green,et al.  Urban Flood Protection Benefits: A Project Appraisal Guide , 1987 .

[9]  J. Chatterton,et al.  The Benefits of Flood and Coastal Risk Management: A Handbook of Assessment Techniques , 2005 .

[10]  Wiktor L. Adamowicz,et al.  Ex post analysis of flood control: Benefit-cost analysis and the value of information , 1988 .

[11]  A. Gissing,et al.  Accounting for variability in commercial flood damage estimation , 2004 .

[12]  P. D. Batesa,et al.  A simple raster-based model for flood inundation simulation , 2000 .

[13]  Edmund C. Penning-Rowsell,et al.  The benefits of flood and coastal risk management: a manual of assessment techniques (Multi-Coloured Handbook 2005) , 2005 .

[14]  B. Merz,et al.  Flood precaution of companies and their ability to cope with the flood in August 2002 in Saxony, Germany , 2007 .

[15]  B. Merz,et al.  Estimation uncertainty of direct monetary flood damage to buildings , 2004 .

[16]  Heidi Kreibich,et al.  The Role of Disaggregation of Asset Values in Flood Loss Estimation: A Comparison of Different Modeling Approaches at the Mulde River, Germany , 2009, Environmental management.

[17]  B. Riley,et al.  EMERGENCY MANAGEMENT AGENCY , 2009 .

[18]  Stephanie E. Chang,et al.  HAZUS-MH Flood Loss Estimation Methodology. II. Damage and Loss Assessment , 2006 .

[19]  David Hinkley,et al.  Bootstrap Methods: Another Look at the Jackknife , 2008 .

[20]  B. M. Davis.  Uses and abuses of cross-validation in geostatistics , 1987 .

[21]  Read Sturgess and Associates.  Rapid appraisal method (RAM) for floodplain management , 2000 .