Groundwater‐induced flooding in macropore‐dominated hydrological system in the context of climate changes

[1] The groundwater-induced flooding that occurred in the Somme Basin during April 2001 damaged numerous dwellings and communication routes, and economic activity of the region was flood-bound for more than 2 months. It was the first time that such a sudden event was recognized as resulting from groundwater discharge, despite the Somme valley not being prone to flooding. Because of a dual porosity of the chalk in the basin, nonlinear processes, involving a hydraulic continuity between the macropores of the unsaturated zone and the chalk groundwater, govern water migration through the unsaturated zone. Such a process is the result of switching behavior of groundwater recharge from matrix flow to macropore flow due to accumulated wetness over several years. There is much evidence to support that the flood probability model is climate-dependent for the studied region because nonlinear processes amplify the effects of nonstationarities of climatic inputs. An estimation of the return period of catastrophic flooding depends on the long-term precipitation fluctuations. This has implications for flood risk assessment requiring the need to distinguish between short- and long-term flooding risks. Other basins that may not appear particularly prone to flooding could also be subjected to similar groundwater-induced flooding should the long-term precipitation fluctuations observed in the north of France since the beginning of the 1980s persist. Similar extraordinary situations can occur in Belgium and England, whereby significant flooding results in substantial contribution of groundwater flows.

[1]  R. Chandler,et al.  Analysis of rainfall variability using generalized linear models: A case study from the west of Ireland , 2002 .

[2]  Theo Brandsma,et al.  Multisite simulation of daily precipitation and temperature in the Rhine Basin by nearest‐neighbor resampling , 2001 .

[3]  R. Low,et al.  Mechanisms of water storage and flow in the unsaturated zone of the Chalk aquifer , 2000 .

[4]  M. Hodnett,et al.  Mechanisms of groundwater recharge and pesticide penetration to a chalk aquifer in southern England , 2003 .

[5]  A. Bárdossy Generating precipitation time series using simulated annealing , 1998 .

[6]  S. Wellings Recharge of the Upper Chalk aquifer at a site in Hampshire, England: 1. Water balance and unsaturated flow , 1984 .

[7]  Marco Latraverse,et al.  Regional estimation of flood quantiles: Parametric versus nonparametric regression models , 2002 .

[8]  W. K. Hastings,et al.  Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .

[9]  Upmanu Lall,et al.  Floods in a changing climate: Does the past represent the future? , 2001, Water Resources Research.

[10]  Keith Beven,et al.  Flood frequency estimation by continuous simulation for a catchment treated as ungauged (with uncertainty) , 2002 .

[11]  E. A. Klavetter,et al.  A continuum model for water movement in an unsaturated fractured rock mass , 1988 .

[12]  George Kuczera,et al.  Flood frequency analysis: Evidence and implications of secular climate variability, New South Wales , 2002 .

[13]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[14]  Richard M. Vogel,et al.  A derived flood frequency distribution for correlated rainfall intensity and duration. , 2000 .

[15]  Peter J. Gregory,et al.  Dynamics of water movement on Chalkland , 2002 .

[16]  C. Deutsch,et al.  Ranking stochastic realizations for improved aquifer response uncertainty assessment , 1999 .

[17]  H. Pauwels,et al.  Inverse modeling of the hydrological and the hydrochemical behavior of hydrosystems: Application to nitrate transport and denitrification , 2001 .

[18]  V. Iacobellis,et al.  Multiscaling pulse representation of temporal rainfall , 2002 .

[19]  Soroosh Sorooshian,et al.  Toward improved streamflow forecasts: value of semidistributed modeling , 2001 .

[20]  Chris Kilsby,et al.  A space‐time Neyman‐Scott model of rainfall: Empirical analysis of extremes , 2002 .

[21]  J. Smith,et al.  Stochastic modeling of flood peaks using the generalized extreme value distribution , 2002 .

[22]  Luc Aquilina,et al.  Inverse modeling of the hydrological and the hydrochemical behavior of hydrosystems: Characterization of Karst System Functioning , 2001 .

[23]  Daniele Veneziano,et al.  Multifractality of rainfall and scaling of intensity‐duration‐frequency curves , 2002 .

[24]  Konstantine P. Georgakakos,et al.  Impacts of climate variability on the operational forecast and management of the Upper Des Moines River Basin , 1998 .