Simulating past droughts and associated building damages in France.

Abstract. Droughts can induce important building damages due to shrinking and swelling of soils, leading to costs as large as for floods in some regions. Previous studies have focused on damage data analysis, geological or constructional aspects. Here, a study investigating the climatic aspects of soil subsidence damage is presented for the first time. We develop a simple model to examine if the meteorology has a considerable impact on the interannual variability of damages from soil subsidence in France. We find that the model is capable of reproducing yearly drought-induced building damages for the time period 1989–2002, thus suggesting a strong meteorological influence. Furthermore, our results reveal a doubling of damages in these years compared to 1961–1990, mainly as a consequence of increasing temperatures. This indicates a link to climate change. We also apply the model to the extreme summer of 2003, which caused a further increase in damage by a factor four, according to a preliminary damage estimate. The simulation result for that year shows strong damage underestimation, pointing to additional sources of vulnerability. Damage data suggest a higher sensitivity to soil subsidence of regions first affected by drought in the 2003 summer, possibly due to a lack of preparedness and adaptation. This is of strong concern in the context of climate change, as densely populated regions in Central Europe and North America are expected to become newly affected by drought in the future.

[1]  Bruno Merz,et al.  A Probabilistic Modelling System for Assessing Flood Risks , 2006 .

[2]  R. Stouffer,et al.  Stationarity Is Dead: Whither Water Management? , 2008, Science.

[3]  M. Vauclin,et al.  Modeling the Soil Shrinkage and Water Retention Curves with the Same Equations , 2006 .

[4]  Melanie Mitchell,et al.  An introduction to genetic algorithms , 1996 .

[5]  David Coley,et al.  Introduction to Genetic Algorithms for Scientists and Engineers , 1999 .

[6]  Jean-Luc Salagnac,et al.  Lessons from the 2003 heat wave: a French perspective , 2007 .

[7]  Fuchu Dai,et al.  Landslide risk assessment and management: an overview , 2002 .

[8]  L. Weber,et al.  Palmer's drought indices revisited , 1998 .

[9]  Guiling Wang.  Agricultural drought in a future climate: results from 15 global climate models participating in the IPCC 4th assessment , 2005 .

[10]  R. Seager,et al.  Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America , 2007, Science.

[11]  E. Wood,et al.  Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations , 2008 .

[12]  J. Bronswijk,et al.  PREDICTION OF ACTUAL CRACKING AND SUBSIDENCE IN CLAY SOILS , 1989 .

[13]  Etienne Leblois,et al.  The SAFRAN‐ISBA‐MODCOU hydrometeorological model applied over France , 2008 .

[14]  T. D. Mitchell,et al.  An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .

[15]  F. Giorgi,et al.  Increased aridity in the Mediterranean region under greenhouse gas forcing estimated from high resolution simulations with a regional climate model , 2008 .

[16]  Michael A Crilly.  Analysis of a database of subsidence damage , 2001 .

[17]  K. Trenberth,et al.  A Global Dataset of Palmer Drought Severity Index for 1870–2002: Relationship with Soil Moisture and Effects of Surface Warming , 2004 .

[18]  J. C. Doornkamp.  Clay shrinkage induced subsidence , 1993 .

[19]  D. Lüthi,et al.  The role of increasing temperature variability in European summer heatwaves , 2004, Nature.

[20]  Naota Hanasaki,et al.  GSWP-2 Multimodel Analysis and Implications for Our Perception of the Land Surface , 2006 .

[21]  R. Kovats,et al.  Climate change and human health: impacts, vulnerability and public health. , 2006, Public health.

[22]  S. Seneviratne,et al.  GRACE‐derived terrestrial water storage depletion associated with the 2003 European heat wave , 2005 .

[23]  D. Schindler,et al.  An impending water crisis in Canada's western prairie provinces. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

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

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

[26]  Sonia I. Seneviratne,et al.  Inferring changes in terrestrial water storage using ERA-40 reanalysis data: The Mississippi River Basin , 2004 .

[27]  S. Seneviratne,et al.  Seasonal Variations in Terrestrial Water Storage for Major Midlatitude River Basins , 2006 .

[28]  J. Soussana,et al.  Food, fibre and forest products , 2007 .

[29]  S. Seneviratne,et al.  Land–atmosphere coupling and climate change in Europe , 2006, Nature.

[30]  P. Jones,et al.  A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006 , 2008 .

[31]  P. Ciais,et al.  Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.

[32]  Randal D. Koster,et al.  Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data , 2004 .

[33]  C. W. Thornthwaite.  An approach toward a rational classification of climate. , 1948 .