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dc.contributor.authorYin, D
dc.contributor.authorEvans, B
dc.contributor.authorWang, Q
dc.contributor.authorChen, Z
dc.contributor.authorJia, H
dc.contributor.authorChen, AS
dc.contributor.authorFu, G
dc.contributor.authorAhmad, S
dc.contributor.authorLeng, L
dc.date.accessioned2020-03-03T14:06:59Z
dc.date.issued2020-02-28
dc.description.abstractThis study proposes a modelling framework of integrated one-dimensional (1D) and two-dimensional (2D) hydrodynamic modelling to evaluate the effectiveness of sponge city construction at community scale. Through a case study in Zhuhai, we integrate Stormwater Management Model (SWMM) and Cellular Automata Dual-DraInagE Simulation (CADDIES) 2D model to analyze the rainfall-runoff process involving green infrastructures. SWMM is applied to analyze the change of surface runoff control effects before and after the implementation of sponge city low impact development (LID) facilities, and CADDIES is adopted to simulate the propagation of excess runoff on the surface. The results show that the LID facilities can effectively reduce the runoff volume of small and medium-sized rainfall events since the maximum runoff reduction rate is 94.4%. For long-term operation, the LID can capture 52.9% of annual rainfall volume and reduce annual runoff by 28.0%. However, the CADDIES 2D model simulations indicate that LID facilities have little effect on flood alleviation in specific regions under extreme rainfall conditions. In addition, we compared the modelling performance using four different terrain Digital Elevation Model (DEM) resolutions and found that 1 m terrain DEM resolution can produce comparable results to 0.25 m DEM with a fraction of computational time. We also find that the MIKE FLOOD model and the integrated model of SWMM and CADDIES 2D can obtain similar simulation results, the p-value = 0.09 which is >0.05, but SWMM-CADDIES integrated model is more suitable for small-scale simulation.en_GB
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_GB
dc.description.sponsorshipBeijing Municipal Natural Science Foundationen_GB
dc.description.sponsorshipMajor Science and Technology Program for Water Pollution Control and Treatmenten_GB
dc.description.sponsorshipUK-China Urban Flood Research Impact Programmeen_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationArticle 137630en_GB
dc.identifier.doi10.1016/j.scitotenv.2020.137630
dc.identifier.grantnumber41890823en_GB
dc.identifier.grantnumber7181101209en_GB
dc.identifier.grantnumber8161003en_GB
dc.identifier.grantnumber2017ZX07205003en_GB
dc.identifier.grantnumberUUFRIP/100024en_GB
dc.identifier.grantnumberEP/H015736/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/120147
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2020 Published by Elsevier. This is an open access article under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectIntegrated modellingen_GB
dc.subjectCellular Automata Dual-DraInagE Simulation (CADDIES)en_GB
dc.subjectSponge city construction assessmenten_GB
dc.subjectLow impact development (LID)en_GB
dc.subjectRunoff quantity controlen_GB
dc.titleIntegrated 1D and 2D model for better assessing runoff quantity control of low impact development facilities on community scaleen_GB
dc.typeArticleen_GB
dc.date.available2020-03-03T14:06:59Z
dc.identifier.issn0048-9697
exeter.article-number137630en_GB
dc.descriptionThis is the author accepted manuscript. The final version is available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalScience of The Total Environmenten_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-02-27
exeter.funder::Royal Academy of Engineering (RAE)en_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-02-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-03-03T13:52:34Z
refterms.versionFCDAM
refterms.dateFOA2020-03-03T14:08:02Z
refterms.panelBen_GB


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© 2020 Published by Elsevier. This is an open access article under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © 2020 Published by Elsevier. This is an open access article under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/