Hydrological response of implementing green and blue infrastructure–study of a Brazilian metropolis

Rosa, DWB; Silva, TFDG; Chong, J; Giurco, D; de Oliveira Nascimento, N

Hydrological response of implementing green and blue infrastructure–study of a Brazilian metropolis

Rosa, DWB Silva, TFDG Chong, J Giurco, D

de Oliveira Nascimento, N

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Publisher:: Taylor and Francis Group
Publication Type:: Journal Article
Citation:: Urban Water Journal, 2023, 20, (10), pp. 1348-1360
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Rosa, DWB
dc.contributor.author	Silva, TFDG
dc.contributor.author	Chong, J
dc.contributor.author	Giurco, D https://orcid.org/0000-0002-1707-9531
dc.contributor.author	de Oliveira Nascimento, N
dc.date.accessioned	2024-01-04T00:18:52Z
dc.date.available	2024-01-04T00:18:52Z
dc.date.issued	2023-01-01
dc.identifier.citation	Urban Water Journal, 2023, 20, (10), pp. 1348-1360
dc.identifier.issn	1573-062X
dc.identifier.issn	1744-9006
dc.identifier.uri	http://hdl.handle.net/10453/173979
dc.description.abstract	Green and blue infrastructure (GBI) is an urban planning approach that can reduce and mitigate the impacts of urbanization in the water cycle. This study evaluates the hydrologic impacts of a possible deployment of GBI in a peri-urban catchment under pressure from urban development. Considering cost-effectiveness, the best combinations of GBI techniques were simulated and compared with a scenario with urban expansion. A hydrological model in SWMM was applied to simulate impacts of GBI in runoff and a Hec-RAS model to assess the impact on flood. A combination of lot areas treated by rooftop disconnection and roads treated by vegetative swales achieved the lowest cost and one of the highest effectiveness in runoff reduction. Despite the growth of impervious area by almost 100% from urban expansion, the GBI scenario would bring the hydrological conditions and total flooded area downstream closer to the current scenario ones.
dc.language	English
dc.publisher	Taylor and Francis Group
dc.relation.ispartof	Urban Water Journal
dc.relation.isbasedon	10.1080/1573062X.2022.2066549
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0406 Physical Geography and Environmental Geoscience, 0905 Civil Engineering, 1604 Human Geography
dc.subject.classification	Environmental Engineering
dc.subject.classification	3707 Hydrology
dc.subject.classification	4005 Civil engineering
dc.title	Hydrological response of implementing green and blue infrastructure–study of a Brazilian metropolis
dc.type	Journal Article
utslib.citation.volume	20
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0905 Civil Engineering
utslib.for	1604 Human Geography
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
pubs.organisational-group	/University of Technology Sydney/Strength - ISF - Institute for Sustainable Futures
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2024-01-04T00:18:50Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	20
utslib.citation.issue	10

Abstract:

Green and blue infrastructure (GBI) is an urban planning approach that can reduce and mitigate the impacts of urbanization in the water cycle. This study evaluates the hydrologic impacts of a possible deployment of GBI in a peri-urban catchment under pressure from urban development. Considering cost-effectiveness, the best combinations of GBI techniques were simulated and compared with a scenario with urban expansion. A hydrological model in SWMM was applied to simulate impacts of GBI in runoff and a Hec-RAS model to assess the impact on flood. A combination of lot areas treated by rooftop disconnection and roads treated by vegetative swales achieved the lowest cost and one of the highest effectiveness in runoff reduction. Despite the growth of impervious area by almost 100% from urban expansion, the GBI scenario would bring the hydrological conditions and total flooded area downstream closer to the current scenario ones.

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http://hdl.handle.net/10453/173979