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Development and modelling of realistic retrofitted Nature-based Solution scenarios to reduce flood occurrence at the catchment scale

Chen, Valerie ; Bonilla Brenes, Jose Ricardo ; Chapa, Fernando ; Hack, Jochen (2021)
Development and modelling of realistic retrofitted Nature-based Solution scenarios to reduce flood occurrence at the catchment scale.
In: Ambio, 2021, 50 (8)
doi: 10.26083/tuprints-00018922
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Development and modelling of realistic retrofitted Nature-based Solution scenarios to reduce flood occurrence at the catchment scale
Language: English
Date: 28 July 2021
Place of Publication: Darmstadt
Year of primary publication: 2021
Publisher: Springer
Journal or Publication Title: Ambio
Volume of the journal: 50
Issue Number: 8
Collation: 15 ungezählte Seiten
DOI: 10.26083/tuprints-00018922
Corresponding Links:
Origin: Secondary publication service
Abstract:

Decentralized Nature-based Solutions such as Urban Green Infrastructures (UGI) are increasingly promoted to reduce flooding in urban areas. Many studies have shown the effectiveness of flood control of UGI at a plot or neighbourhood level. Modelling approaches that extrapolate their flood reducing impact to larger catchment scales are often based on a simplistic assumption of different percentages of UGI implementation. Additionally, such approaches typically do not consider the suitable space for UGI and potential implementation constraints. This study proposes a scenario development and modelling approach for a more realistic upscaling of UGI based on empirical insights from a representative neighbourhood. The results from this study, conducted in the metropolitan area of Costa Rica, show that upscaling the full potential for UGI could significantly reduce surface runoff, peak flows, and flood volumes. In particular, the permeable pavement has the highest potential for flood reducing in public space while cisterns perform best at the property level. These results can guide the formation of policies that promote UGI.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-189222
Additional Information:

Correction unter: https://link.springer.com/article/10.1007/s13280-021-01535-9

Classification DDC: 500 Science and mathematics > 550 Earth sciences and geology
Divisions: 11 Department of Materials and Earth Sciences > Earth Science > Ecological Engineering
TU-Projects: Bund/BMBF|01UU1704|SEE-URBAN-WATER
Date Deposited: 28 Jul 2021 08:07
Last Modified: 14 Nov 2023 19:03
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/18922
PPN: 501779086
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