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

Alexandra Arnsteg; Juliane Glinski; Patricija Marijauskaite; Annika Nitschke; Marianne Olsson; Agnes Pierre; Lovisa Rosenquist Ohlsson; Sacha van der Vleuten; Petter Pilesjö

doi:10.5194/agile-giss-3-53-2022

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

Alexandra Arnsteg, Juliane Glinski, Patricija Marijauskaite, Annika Nitschke, Marianne Olsson, Agnes Pierre, Lovisa Rosenquist Ohlsson, Sacha van der Vleuten, Petter Pilesjö

Lund University, Department of Physical Geography

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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 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.

Original language	English
Title of host publication	Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022.
Editors	E. Parseliunas, A. Mansourian, P. Partsinevelos, J. Suziedelyte-Visockiene
Publisher	Copernicus GmbH
Number of pages	9
Volume	3
DOIs	https://doi.org/10.5194/agile-giss-3-53-2022
Publication status	Published - 2022 Jun 11
Event	25th AGILE Conference on Geographic Information Science: Artificial Intelligence in the service of Geospatial Technologies - Vilnius, Lithuania, Vilnius, Lithuania Duration: 2022 Jun 14 → 2022 Jun 17

Publication series

Name	AGILE GIScience Ser.
Publisher	Copernicus Publications
Number	53
Volume	3

Conference

Conference	25th AGILE Conference on Geographic Information Science
Country/Territory	Lithuania
City	Vilnius
Period	2022/06/14 → 2022/06/17

Subject classification (UKÄ)

Environmental Sciences
Physical Geography
Earth Observation
Other Environmental Engineering

Free keywords

flood mitigation
hydrological model
pluvial flooding
TFM-DYN
Blue-Green Solutions (BGS)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5194/agile-giss-3-53-2022Licence: CC BY

Cite this

Arnsteg, A., Glinski, J., Marijauskaite, P., Nitschke, A., Olsson, M., Pierre, A., Rosenquist Ohlsson, L., van der Vleuten, S., & Pilesjö, P. (2022). Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal. In E. Parseliunas, A. Mansourian, P. Partsinevelos, & J. Suziedelyte-Visockiene (Eds.), Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022. (Vol. 3). (AGILE GIScience Ser.; Vol. 3, No. 53). Copernicus GmbH. https://doi.org/10.5194/agile-giss-3-53-2022

Arnsteg, Alexandra ; Glinski, Juliane ; Marijauskaite, Patricija et al. / Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal. Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022. . editor / E. Parseliunas ; A. Mansourian ; P. Partsinevelos ; J. Suziedelyte-Visockiene. Vol. 3 Copernicus GmbH, 2022. (AGILE GIScience Ser.; 53).

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

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 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.",

keywords = "flood mitigation, hydrological model, pluvial flooding, TFM-DYN, Blue-Green Solutions (BGS)",

author = "Alexandra Arnsteg and Juliane Glinski and Patricija Marijauskaite and Annika Nitschke and Marianne Olsson and Agnes Pierre and {Rosenquist Ohlsson}, Lovisa and {van der Vleuten}, Sacha and Petter Pilesj{\"o}",

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month = jun,

day = "11",

doi = "10.5194/agile-giss-3-53-2022",

language = "English",

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booktitle = "Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022.",

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note = "25th AGILE Conference on Geographic Information Science : Artificial Intelligence in the service of Geospatial Technologies ; Conference date: 14-06-2022 Through 17-06-2022",

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Arnsteg, A, Glinski, J, Marijauskaite, P, Nitschke, A, Olsson, M, Pierre, A, Rosenquist Ohlsson, L, van der Vleuten, S & Pilesjö, P 2022, Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal. in E Parseliunas, A Mansourian, P Partsinevelos & J Suziedelyte-Visockiene (eds), Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022. . vol. 3, AGILE GIScience Ser., no. 53, vol. 3, Copernicus GmbH, 25th AGILE Conference on Geographic Information Science, Vilnius, Lithuania, 2022/06/14. https://doi.org/10.5194/agile-giss-3-53-2022

Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal. / Arnsteg, Alexandra; Glinski, Juliane; Marijauskaite, Patricija et al.
Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022. . ed. / E. Parseliunas; A. Mansourian; P. Partsinevelos; J. Suziedelyte-Visockiene. Vol. 3 Copernicus GmbH, 2022. (AGILE GIScience Ser.; Vol. 3, No. 53).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal

AU - Arnsteg, Alexandra

AU - Glinski, Juliane

AU - Marijauskaite, Patricija

AU - Nitschke, Annika

AU - Olsson, Marianne

AU - Pierre, Agnes

AU - Rosenquist Ohlsson, Lovisa

AU - van der Vleuten, Sacha

AU - Pilesjö, Petter

PY - 2022/6/11

Y1 - 2022/6/11

N2 - 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.

AB - 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.

KW - flood mitigation

KW - hydrological model

KW - pluvial flooding

KW - TFM-DYN

KW - Blue-Green Solutions (BGS)

U2 - 10.5194/agile-giss-3-53-2022

DO - 10.5194/agile-giss-3-53-2022

M3 - Paper in conference proceeding

VL - 3

T3 - AGILE GIScience Ser.

BT - Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022.

A2 - Parseliunas, E.

A2 - Mansourian, A.

A2 - Partsinevelos, P.

A2 - Suziedelyte-Visockiene, J.

PB - Copernicus GmbH

T2 - 25th AGILE Conference on Geographic Information Science

Y2 - 14 June 2022 through 17 June 2022

ER -

Arnsteg A, Glinski J, Marijauskaite P, Nitschke A, Olsson M, Pierre A et al. Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal. In Parseliunas E, Mansourian A, Partsinevelos P, Suziedelyte-Visockiene J, editors, Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022. . Vol. 3. Copernicus GmbH. 2022. (AGILE GIScience Ser.; 53). doi: 10.5194/agile-giss-3-53-2022

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

Abstract

Publication series

Conference

Subject classification (UKÄ)

Free keywords

UN SDGs

Access to Document

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Cite this