Winter storm risk of residential structures ? model development and application to the German state of Baden-Württemberg

Abstract. The derivation of probabilities of high wind speeds and the establishment of risk curves for storm damage is of prime importance in natural hazard risk analysis. Risk curves allow the assessment of damage being exceeded at a given level of probability. In this paper, a method for the assessment of winter storm damage risk is described in detail and applied to the German state of Baden-Wurttemberg. Based on meteorological observations of the years 1971–2000 and on damage information of 4 severe storm events, storm hazard and damage risk of residential buildings is calculated on the level of communities. For this purpose, highly resolved simulations of storm wind fields with the Karlsruher Atmospheric Mesoscale Model (KAMM) are performed and a storm damage model is developed. Risk curves including the quantification of the uncertainties are calculated for every community. Local differences of hazard and risk are presented in state-wide maps. An average annual winter storm damage to residential buildings of minimum 15 million Euro (reference year 2000) for Baden-Wurttemberg is expected.

[1]  M. Kasperski A new wind zone map of Germany , 2002 .

[2]  PAUL EMBRECHTS,et al.  Modelling of extremal events in insurance and finance , 1994, Math. Methods Oper. Res..

[3]  Zhigang Huang,et al.  Hurricane simulation techniques for the evaluation of wind-speeds and expected insurance losses , 2001 .

[4]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[5]  C. Pfister,et al.  Winter storms in Switzerland North of the Alps 1864/1865–1993/1994 , 1997 .

[6]  Erik Lundtang Petersen,et al.  The European Wind Atlas , 1985 .

[7]  J. Doran,et al.  The Relationship between Overlying Synoptic-Scale Flows and Winds within a Valley , 1993 .

[8]  H. Panofsky,et al.  Atmospheric Turbulence: Models and Methods for Engineering Applications , 1984 .

[9]  Uwe Ulbrich,et al.  Three extreme storms over Europe in December 1999 , 2001 .

[10]  J. Wieringa Roughness‐dependent geographical interpolation of surface wind speed averages , 1986 .

[11]  H. Lamb,et al.  Historic Storms of the North Sea, British Isles and Northwest Europe , 1991 .

[12]  U. Ulbrich,et al.  A model for the estimation of storm losses and the identification of severe winter storms in Germany , 2003 .

[13]  James R. McDonald,et al.  The development of wind damage bands for buildings , 2000 .

[14]  J. Corcoran Modelling Extremal Events for Insurance and Finance , 2002 .

[15]  O. Brasseur Development and application of a physical approach to estimating wind gusts , 2001 .

[16]  Rh Leicester,et al.  A Statistical Analysis of the Structural Damage by Cyclone Tracy , 1976 .

[17]  C. Kottmeier,et al.  Storm damage risk assessment in Germany , 2008 .

[18]  R. Meroney Fluid Dynamics of Flow over Hills/Mountains—Insights Obtained through Physical Modeling , 1990 .

[19]  Jakob Mann,et al.  WAsP Engineering 2000 , 2002 .

[20]  Richard W. Katz,et al.  Stochastic Modeling of Hurricane Damage , 2002 .

[21]  Annegret H. Thieken,et al.  Estimation of the regional stock of residential buildings as a basis for a comparative risk assessment in Germany , 2006 .

[22]  Timothy A. Reinhold,et al.  Wind damage to envelopes of houses and consequent insurance losses , 1994 .

[23]  A. C Khanduri,et al.  Vulnerability of buildings to windstorms and insurance loss estimation , 2003 .

[24]  R. Laprise,et al.  Numerical investigation of an extreme storm with the Canadian Regional Climate Model: the case study of windstorm VIVIAN, Switzerland, February 27, 1990 , 2001 .

[25]  P. Heneka Development of a storm damage risk map of Germany – A review of storm damage functions , 2004 .

[26]  Jean Palutikof,et al.  A review of methods to calculate extreme wind speeds , 1999 .

[27]  Ben L. Sill,et al.  Analysis of Storm-Damage Factors for Low-Rise Structures , 1997 .

[28]  Nader Tajvidi,et al.  Extreme value statistics and wind storm losses: a case study. , 1997 .

[29]  F. Fiedler,et al.  1Simulation of unstationary wind and temperature fields over complex terrain and comparison with observations , 1991 .

[30]  F. Fiedler,et al.  Regional effects of large-scale extreme wind events over orographically structured terrain , 2003 .

[31]  W. Petak,et al.  Natural Hazard Risk Assessment and Public Policy , 1986, IEEE Transactions on Reliability.

[32]  D. Stauffer,et al.  Use of Four-Dimensional Data Assimilation in a Limited-Area Mesoscale Model. Part I: Experiments with Synoptic-Scale Data , 1990 .