TY - GEN
T1 - Influence of Flood Water Contribution from Multiple Sources in Extreme Event Statistics of Urban Flooding
AU - Thorndahl, Søren
AU - Murla-Tuyls, Damian
AU - Nielsen, Rasmus Vest
AU - Schleiss, Marc
AU - Olsson, Jonas
N1 - Accepted Author Manuscript
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Extreme event statistics
KW - Integrated hydrological modelling
KW - Urban flooding
UR - http://www.scopus.com/inward/record.url?scp=85071580632&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-99867-1_67
DO - 10.1007/978-3-319-99867-1_67
M3 - Conference contribution
AN - SCOPUS:85071580632
SN - 9783319998664
T3 - Green Energy and Technology
SP - 397
EP - 401
BT - New Trends in Urban Drainage Modelling - UDM 2018
A2 - Mannina, Giorgio
PB - Springer
CY - Cham
T2 - 11th International Conference on Urban Drainage Modelling, UDM 2018
Y2 - 23 September 2018 through 26 September 2018
ER -
