Ice‐jam flood risk assessment and mapping

In northern regions, river ice- jam flooding can be more severe than open-water flooding causing property and infrastructure damages, loss of human life and adverse impacts on aquatic ecosystems. Very little has been performed to assess the risk induced by ice-related floods because most risk assessments are limited to open-water floods. The specific objective of this study is to incorporate ice-jam numerical modelling tools (e.g. RIVICE, Monte-Carlo simulation) into flood hazard and risk assessment along the Peace River at the Town of Peace River (TPR) in Alberta, Canada. Adequate historical data for different ice-jam and open-water flooding events were available for this study site and were useful in developing ice-affected stage-frequency curves. These curves were then applied to calibrate a numerical hydraulic model, which simulated different ice jams and flood scenarios along the Peace River at the TPR. A Monte-Carlo analysis was then carried out to acquire an ensemble of water level profiles to determine the 1 : 100-year and 1 : 200-year annual exceedance probability flood stages for the TPR. These flood stages were then used to map flood hazard and vulnerability of the TPR. Finally, the flood risk for a 200-year return period was calculated to be an average of $32/m2/a ($/m2/a corresponds to a unit of annual expected damages or risk). Copyright © 2016 John Wiley & Sons, Ltd.

[1]  Eric F. Wood,et al.  Effect of regional heterogeneity on flood frequency estimation , 1987 .

[2]  Bruno Merz,et al.  Review article "Assessment of economic flood damage" , 2010 .

[3]  K. Lindenschmidt,et al.  The impact of macrophytes on winter flows along the Upper Qu’Appelle River , 2014 .

[4]  M. De,et al.  A new unbiased plotting position formula for Gumbel distribution , 2000 .

[5]  Salvatore Gabriele,et al.  The performance of the two-component extreme value distribution in regional flood frequency analysis , 1988 .

[6]  Christos Makropoulos,et al.  Preliminary flood risk assessment: the case of Athens , 2012, Natural Hazards.

[7]  K. Lindenschmidt,et al.  Modelling ice cover formation of a lake–river system with exceptionally high flows (Lake St. Martin and Dauphin River, Manitoba) , 2012 .

[8]  F. Hicks An overview of river ice problems: CRIPE07 guest editorial , 2009 .

[9]  B. Merz,et al.  Flood-risk mapping: contributions towards an enhanced assessment of extreme events and associated risks , 2006 .

[10]  B. Merz,et al.  METHODS FOR THE EVALUATION OF DIRECT AND INDIRECT FLOOD LOSSES , 2008 .

[11]  Karl-Erich Lindenschmidt,et al.  Hochwasserrisikoanalysen an der Elbe – Methodenvergleich und Datenauflösung , 2007 .

[12]  Peter J. Murphy,et al.  Evaluation of mixed-population flood-frequency analysis , 2001 .

[13]  A. Mynett,et al.  Challenges in modelling river flow and ice regime on the Ningxia–Inner Mongolia reach of the Yellow River, China , 2014 .

[14]  Dennis J. Parker,et al.  Evaluating flood damages: guidance and recommendations on principles and methods executive summary , 2007 .

[15]  A. Thieken,et al.  Risk assessment and mapping of extreme floods in non-dyked communities along the Elbe and Mulde Rivers , 2006 .

[16]  Kathleen D. White,et al.  Probability Distributions for Peak Stage on Rivers Affected by Ice Jams , 1996 .

[17]  S. Beltaos Threshold between mechanical and thermal breakup of river ice cover , 2003 .

[18]  Bruno Merz,et al.  A new methodology for flood hazard assessment considering dike breaches , 2010 .

[19]  F. Messner,et al.  FLOOD DAMAGE, VULNERABILITY AND RISK PERCEPTION – CHALLENGES FOR FLOOD DAMAGE RESEARCH , 2006 .

[20]  R. Leconte,et al.  Climate Change, Flow Regulation and Land-Use Effects on the Hydrology of the Peace-Athabasca-Slave System; Findings from the Northern Rivers Ecosystem Initiative , 2006, Environmental monitoring and assessment.

[21]  R. Gerard,et al.  Probability analysis of historical ice jam flood data for a complex reach: a case study , 1992 .

[22]  F. Martini,et al.  Flood risk mapping in Europe, experiences and best practices , 2009 .

[23]  Jery R. Stedinger,et al.  Goodness‐of‐fit tests for regional generalized extreme value flood distributions , 1991 .

[24]  Bruno Merz,et al.  Analysis of a detention basin impact on dike failure probabilities and flood risk for a channel-dike-floodplain system along the river Elbe, Germany , 2012 .

[25]  A. Jenkinson The frequency distribution of the annual maximum (or minimum) values of meteorological elements , 1955 .

[26]  Irving I. Gringorten,et al.  A plotting rule for extreme probability paper , 1963 .