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Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal

Arnsteg, Alexandra ; Glinski, Juliane ; Marijauskaite, Patricija ; Nitschke, Annika ; Olsson, Marianne ; Pierre, Agnes ; Rosenquist Ohlsson, Lovisa LU ; van der Vleuten, Sacha and Pilesjö, Petter LU (2022) 25th AGILE Conference on Geographic Information Science In AGILE GIScience Ser. 3(53).
Abstract
This study assesses the potential benefit of Blue-Green Solutions (BGS), green rooftops, rain gardens, permeable pavements, and bioswales, in Lisbon, Portugal. These proposed mitigation measures are applied using TFM-DYN (Nilsson et al., 2021) to simulate potential fluvial flooding distributions from a 10- and 50-year rain event.

Water depth of over 30 centimeters can cause damage to infrastructure. The model results show water depths of over 40 centimeters in some parts of the study area for the 10-year return period, raising the need for action. For the 50-year return period even more areas will be affected. These floods can occur at a relatively rapid pace. Four BGS were implemented for flood mitigation. Areas with green roofs... (More)
This study assesses the potential benefit of Blue-Green Solutions (BGS), green rooftops, rain gardens, permeable pavements, and bioswales, in Lisbon, Portugal. These proposed mitigation measures are applied using TFM-DYN (Nilsson et al., 2021) to simulate potential fluvial flooding distributions from a 10- and 50-year rain event.

Water depth of over 30 centimeters can cause damage to infrastructure. The model results show water depths of over 40 centimeters in some parts of the study area for the 10-year return period, raising the need for action. For the 50-year return period even more areas will be affected. These floods can occur at a relatively rapid pace. Four BGS were implemented for flood mitigation. Areas with green roofs and rain gardens showed a lowering in water depth for both return periods. This study shows that even relatively simple data allows for an estimation of urban flooding and the potential effect of BGS for specific locations can easily be determined. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
flood mitigation, hydrological model, pluvial flooding, TFM-DYN, Blue-Green Solutions (BGS)
host publication
Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022.
series title
AGILE GIScience Ser.
editor
Parseliunas, E. ; Mansourian, A. ; Partsinevelos, P. and Suziedelyte-Visockiene, J.
volume
3
issue
53
pages
9 pages
publisher
Copernicus GmbH
conference name
25th AGILE Conference on Geographic Information Science
conference location
Vilnius, Lithuania
conference dates
2022-06-14 - 2022-06-17
DOI
10.5194/agile-giss-3-53-2022
language
English
LU publication?
yes
id
c790e810-6189-4b04-8c32-bd29bc592cbf
date added to LUP
2024-09-26 15:56:47
date last changed
2025-04-04 14:09:16
@inproceedings{c790e810-6189-4b04-8c32-bd29bc592cbf,
  abstract     = {{This study assesses the potential benefit of Blue-Green Solutions (BGS), green rooftops, rain gardens, permeable pavements, and bioswales, in Lisbon, Portugal. These proposed mitigation measures are applied using TFM-DYN (Nilsson et al., 2021) to simulate potential fluvial flooding distributions from a 10- and 50-year rain event.<br/><br/>Water depth of over 30 centimeters can cause damage to infrastructure. The model results show water depths of over 40 centimeters in some parts of the study area for the 10-year return period, raising the need for action. For the 50-year return period even more areas will be affected. These floods can occur at a relatively rapid pace. Four BGS were implemented for flood mitigation. Areas with green roofs and rain gardens showed a lowering in water depth for both return periods. This study shows that even relatively simple data allows for an estimation of urban flooding and the potential effect of BGS for specific locations can easily be determined.}},
  author       = {{Arnsteg, Alexandra and Glinski, Juliane and Marijauskaite, Patricija and Nitschke, Annika and Olsson, Marianne and Pierre, Agnes and Rosenquist Ohlsson, Lovisa and van der Vleuten, Sacha and Pilesjö, Petter}},
  booktitle    = {{Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022.}},
  editor       = {{Parseliunas, E. and Mansourian, A. and Partsinevelos, P. and Suziedelyte-Visockiene, J.}},
  keywords     = {{flood mitigation; hydrological model; pluvial flooding; TFM-DYN; Blue-Green Solutions (BGS)}},
  language     = {{eng}},
  month        = {{06}},
  number       = {{53}},
  publisher    = {{Copernicus GmbH}},
  series       = {{AGILE GIScience Ser.}},
  title        = {{Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal}},
  url          = {{http://dx.doi.org/10.5194/agile-giss-3-53-2022}},
  doi          = {{10.5194/agile-giss-3-53-2022}},
  volume       = {{3}},
  year         = {{2022}},
}