The potential of green infrastructure in urban pluvial flood mitigation – a scenario-based modelling study in Berlin.
Saved in:
| Title: | The potential of green infrastructure in urban pluvial flood mitigation – a scenario-based modelling study in Berlin. |
|---|---|
| Authors: | Dobkowitz, Sophia1 (AUTHOR) sophia.dobkowitz@uni-potsdam.de, De Vos, Leon Frederik2 (AUTHOR), Jarajapu, Deva Charan1 (AUTHOR), Lindenlaub, Sarah1 (AUTHOR), Samprogna Mohor, Guilherme1 (AUTHOR), Seleem, Omar1 (AUTHOR), Bronstert, Axel1 (AUTHOR) |
| Source: | Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 10, p3041-3060. 20p. |
| Subject Terms: | *Green infrastructure, *Runoff, *Rain gardens, *Urban runoff management, *Green roofs, *Floods, *Stormwater infiltration, *Runoff models |
| Geographic Terms: | Berlin (Germany) |
| Abstract: | Urban surface sealing limits infiltration and thus increases the formation of runoff during heavy rain events. Green infrastructure (GI) measures can be used to reduce urban flood risk by promoting decentralized infiltration and water storage. With a scenario-based modelling study, we investigate the impact of GI on urban runoff formation, flood water depths and the resulting damage to buildings; comparing it with the impact of the conventional drainage system. The study area is located in the city of Berlin, in a heavily sealed 3.3 km2 urban catchment. Design rain storms with a duration of one hour and totals between 15 and 100 mm are considered. The GI scenarios include different spatial extents and combinations of bioretention systems, green roofs and pervious pavement. The Storm Water Management Model is used for the urban runoff generation and the 2D-hydrodynamic module of TELEMAC for surface runoff concentration. Building damage is modelled with the Flood Damage Estimation Tool, a recursive partitioning tool developed with survey data representative of building damage caused by pluvial floods. Flood mitigation is investigated regarding absolute and relative reduction and also space efficiency of the GI types. Relative flood mitigation reduces at all modelling steps with increasing rain totals. In contrast, absolute runoff reduction increases with increasing rain totals while the area with maximum water level > 10 cm decreases the most at the 49 mm event and building damage reduces most at 25–30 mm. Bioretention systems achieve the highest spatial efficiency, however, green roofs and pervious pavements do not impede the former land use. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 194401721 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: The potential of green infrastructure in urban pluvial flood mitigation – a scenario-based modelling study in Berlin. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dobkowitz%2C+Sophia%22">Dobkowitz, Sophia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sophia.dobkowitz@uni-potsdam.de</i><br /><searchLink fieldCode="AR" term="%22De Vos%2C+Leon Frederik%22">De Vos, Leon Frederik</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jarajapu%2C+Deva Charan%22">Jarajapu, Deva Charan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lindenlaub%2C+Sarah%22">Lindenlaub, Sarah</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Samprogna Mohor%2C+Guilherme%22">Samprogna Mohor, Guilherme</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seleem%2C+Omar%22">Seleem, Omar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bronstert%2C+Axel%22">Bronstert, Axel</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Hydrology+%26+Earth+System+Sciences%22">Hydrology & Earth System Sciences</searchLink>. 2026, Vol. 30 Issue 10, p3041-3060. 20p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Green+infrastructure%22">Green infrastructure</searchLink><br />*<searchLink fieldCode="DE" term="%22Runoff%22">Runoff</searchLink><br />*<searchLink fieldCode="DE" term="%22Rain+gardens%22">Rain gardens</searchLink><br />*<searchLink fieldCode="DE" term="%22Urban+runoff+management%22">Urban runoff management</searchLink><br />*<searchLink fieldCode="DE" term="%22Green+roofs%22">Green roofs</searchLink><br />*<searchLink fieldCode="DE" term="%22Floods%22">Floods</searchLink><br />*<searchLink fieldCode="DE" term="%22Stormwater+infiltration%22">Stormwater infiltration</searchLink><br />*<searchLink fieldCode="DE" term="%22Runoff+models%22">Runoff models</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Berlin+%28Germany%29%22">Berlin (Germany)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Urban surface sealing limits infiltration and thus increases the formation of runoff during heavy rain events. Green infrastructure (GI) measures can be used to reduce urban flood risk by promoting decentralized infiltration and water storage. With a scenario-based modelling study, we investigate the impact of GI on urban runoff formation, flood water depths and the resulting damage to buildings; comparing it with the impact of the conventional drainage system. The study area is located in the city of Berlin, in a heavily sealed 3.3 km2 urban catchment. Design rain storms with a duration of one hour and totals between 15 and 100 mm are considered. The GI scenarios include different spatial extents and combinations of bioretention systems, green roofs and pervious pavement. The Storm Water Management Model is used for the urban runoff generation and the 2D-hydrodynamic module of TELEMAC for surface runoff concentration. Building damage is modelled with the Flood Damage Estimation Tool, a recursive partitioning tool developed with survey data representative of building damage caused by pluvial floods. Flood mitigation is investigated regarding absolute and relative reduction and also space efficiency of the GI types. Relative flood mitigation reduces at all modelling steps with increasing rain totals. In contrast, absolute runoff reduction increases with increasing rain totals while the area with maximum water level > 10 cm decreases the most at the 49 mm event and building damage reduces most at 25–30 mm. Bioretention systems achieve the highest spatial efficiency, however, green roofs and pervious pavements do not impede the former land use. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194401721 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/hess-30-3041-2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 3041 Subjects: – SubjectFull: Green infrastructure Type: general – SubjectFull: Runoff Type: general – SubjectFull: Rain gardens Type: general – SubjectFull: Urban runoff management Type: general – SubjectFull: Green roofs Type: general – SubjectFull: Floods Type: general – SubjectFull: Stormwater infiltration Type: general – SubjectFull: Runoff models Type: general – SubjectFull: Berlin (Germany) Type: general Titles: – TitleFull: The potential of green infrastructure in urban pluvial flood mitigation – a scenario-based modelling study in Berlin. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dobkowitz, Sophia – PersonEntity: Name: NameFull: De Vos, Leon Frederik – PersonEntity: Name: NameFull: Jarajapu, Deva Charan – PersonEntity: Name: NameFull: Lindenlaub, Sarah – PersonEntity: Name: NameFull: Samprogna Mohor, Guilherme – PersonEntity: Name: NameFull: Seleem, Omar – PersonEntity: Name: NameFull: Bronstert, Axel IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10275606 Numbering: – Type: volume Value: 30 – Type: issue Value: 10 Titles: – TitleFull: Hydrology & Earth System Sciences Type: main |
| ResultId | 1 |