RP0128 – From extreme areal rainfall to flood risk using a derived distribution approach with examples of climate change impacts

3/2012
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The aim of the report within GEMINA project is to present a methodology to probabilistically derive peak flood distribution from the statistical representation of extreme rainfall at the fixed durations of 1, 3, 6, 12, 24 hours over an area of interest. The methodology provides an analytical approach to derive the flood peak frequency distribution from the statistical characterization of rainfall using a simplified description of the catchment response (SCS-CN model) to link rainfall and peak flood. The comparison between empirical and derived peak flood distribution evidences that the model performances have to be improved inserting a scaling factor dependent on the return period. The methodology is applied to the Baganza river basin in Emilia Romagna region (North Italy).
Furthermore the methodology is used to investigate the effects of a positive and a negative variation of the average rainfall on peak flood distribution.
Future applications will be based on climate and rivers discharge generated within the GEMINA project.

This report is carried on within a MOU agreement between CMCC and ARPA Emilia Romagna SIMC. Renata Vezzoli thanks ARPA Emilia Romagna SIMC personnel for support and collaboration.
The research leading to these results has received funding from the Italian Ministry of Education, University and Research and the Italian Ministry of Environment, Land and Sea within the framework of Work Package 6.2.17 under the GEMINA project.

 

CMCC Institutes

CMCC Divisions

Authors

  • Renata Vezzoli
  • Keywords: Areal rainfall, Climate Change, Derived distribution, Extremes, Peak flood

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