%0 Journal Article %1 springerlink:10.1007/s11069-010-9593-7 %A Heneka, Patrick %A Hofherr, Thomas %D 2011 %I Springer Netherlands %J Natural Hazards %K Extremes Meteorology Meteorology:winterstorm Region Region:germany %P 815-831 %R 10.1007/s11069-010-9593-7 %T Probabilistic winter storm risk assessment for residential buildings in Germany %U http://dx.doi.org/10.1007/s11069-010-9593-7 %V 56 %X Losses resulting from winter storms contribute a significant part to the overall losses among all natural hazards in most mid-latitude European countries. A realistic assessment of storm risk is therefore essential for prevention and coping measures. The paper presents a framework for probabilistic storm risk assessment for residential buildings which is exemplarily performed for Germany. Two different approaches are described, and results are presented. The hazard-based approach brings together hazard, vulnerability and building assets to calculate risk curves for each community. The storm-based approach uses loss information from past storm events to calculate statistical return periods of severe storms. As a result, a return period of 83 years to the most severe storm series in 1990 is calculated. Average annual losses of €170 million to residential buildings are calculated for all over Germany. The study demonstrates how the approaches complement each other and how validation is performed.

@article{springerlink:10.1007/s11069-010-9593-7, abstract = {Losses resulting from winter storms contribute a significant part to the overall losses among all natural hazards in most mid-latitude European countries. A realistic assessment of storm risk is therefore essential for prevention and coping measures. The paper presents a framework for probabilistic storm risk assessment for residential buildings which is exemplarily performed for Germany. Two different approaches are described, and results are presented. The hazard-based approach brings together hazard, vulnerability and building assets to calculate risk curves for each community. The storm-based approach uses loss information from past storm events to calculate statistical return periods of severe storms. As a result, a return period of 83 years to the most severe storm series in 1990 is calculated. Average annual losses of €170 million to residential buildings are calculated for all over Germany. The study demonstrates how the approaches complement each other and how validation is performed.}, added-at = {2012-01-27T17:06:02.000+0100}, affiliation = {Institute for Hydromechanics, University of Karlsruhe, Kaiserstr. 12, 76128 Karlsruhe, Germany}, author = {Heneka, Patrick and Hofherr, Thomas}, biburl = {https://www.bibsonomy.org/bibtex/29f9f43ce5ba08594a926243b2f0c506b/marsianus}, description = {Natural Hazards, Volume 56, Number 3 - SpringerLink}, doi = {10.1007/s11069-010-9593-7}, interhash = {df341f7588f7dcc3db64fbdd8c920ff3}, intrahash = {9f9f43ce5ba08594a926243b2f0c506b}, issn = {0921-030X}, issue = {3}, journal = {Natural Hazards}, keyword = {Earth and Environmental Science}, keywords = {Extremes Meteorology Meteorology:winterstorm Region Region:germany}, pages = {815-831}, publisher = {Springer Netherlands}, timestamp = {2012-01-27T17:06:02.000+0100}, title = {Probabilistic winter storm risk assessment for residential buildings in Germany}, url = {http://dx.doi.org/10.1007/s11069-010-9593-7}, volume = 56, year = 2011 }