Influence of Flood Water Contribution from Multiple Sources in Extreme Event Statistics of Urban Flooding

Søren Thorndahl*, Damian Murla-Tuyls, Rasmus Vest Nielsen, Marc Schleiss, Jonas Olsson

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

For pluvial flood risk assessment in urban areas it is important to be able to calculate how often a specific area is at risk of flooding. This is especially evident in urban areas subject to contribution from multiple sources, e.g. surcharging drainage system, surface runoff, overflowing rivers, etc. In this study extreme event statistics are assessed by simulation of rainfall impact and consecutive statistics of flood response in order to estimate return periods of flooding. The model applied is an integrated hydraulic model which includes relevant hydrological processes that contribute to urban flooding. The setup is analysed based on a small urban catchment in Aalborg Denmark. Results show that it is possible to estimate return periods of flood volume, flood extent and local water levels based on simulation and that rainfall and hydrological conditions critical to flooding can be identified.
Original languageEnglish
Title of host publicationNew Trends in Urban Drainage Modelling - UDM 2018
EditorsGiorgio Mannina
Place of PublicationCham
PublisherSpringer
Pages397-401
Number of pages5
ISBN (Electronic)978-3-319-99867-1
ISBN (Print)9783319998664
DOIs
Publication statusPublished - 2019
Event11th International Conference on Urban Drainage Modelling, UDM 2018 - Palermo, Italy
Duration: 23 Sept 201826 Sept 2018

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

Conference

Conference11th International Conference on Urban Drainage Modelling, UDM 2018
Country/TerritoryItaly
CityPalermo
Period23/09/1826/09/18

Bibliographical note

Accepted Author Manuscript

Keywords

  • Extreme event statistics
  • Integrated hydrological modelling
  • Urban flooding

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