NHESS Natural Hazards and Earth System Sciences NHESS Nat. Hazards Earth Syst. Sci. 1684-9981 Copernicus Publications Göttingen, Germany 10.5194/nhess-12-2865-2012 Damage estimation of subterranean building constructions due to groundwater inundation – the GIS-based model approach GRUWAD Schinke R. 1 Neubert M. 1 Hennersdorf J. 1 Stodolny U. 2 Sommer T. 2 Naumann T. 1 Leibniz Institute of Ecological Urban and Regional Development (IOER), Dresden, Germany Dresden Groundwater Research Centre (DGFZ e.V.), Dresden, Germany 12 09 2012 12 9 2865 2877 Copyright: © 2012 R. Schinke et al. 2012 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://nhess.copernicus.org/articles/12/2865/2012/nhess-12-2865-2012.html The full text article is available as a PDF file from https://nhess.copernicus.org/articles/12/2865/2012/nhess-12-2865-2012.pdf

The analysis and management of flood risk commonly focuses on surface water floods, because these types are often associated with high economic losses due to damage to buildings and settlements. The rising groundwater as a secondary effect of these floods induces additional damage, particularly in the basements of buildings. Mostly, these losses remain underestimated, because they are difficult to assess, especially for the entire building stock of flood-prone urban areas. For this purpose an appropriate methodology has been developed and lead to a groundwater damage simulation model named GRUWAD. The overall methodology combines various engineering and geoinformatic methods to calculate major damage processes by high groundwater levels. It considers a classification of buildings by building types, synthetic depth-damage functions for groundwater inundation as well as the results of a groundwater-flow model. The modular structure of this procedure can be adapted in the level of detail. Hence, the model allows damage calculations from the local to the regional scale. Among others it can be used to prepare risk maps, for ex-ante analysis of future risks, and to simulate the effects of mitigation measures. Therefore, the model is a multifarious tool for determining urban resilience with respect to high groundwater levels.

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