Integrated 1D and 2D model for better assessing runoff quantity control of low impact development facilities on community scale
dc.contributor.author | Yin, D | |
dc.contributor.author | Evans, B | |
dc.contributor.author | Wang, Q | |
dc.contributor.author | Chen, Z | |
dc.contributor.author | Jia, H | |
dc.contributor.author | Chen, AS | |
dc.contributor.author | Fu, G | |
dc.contributor.author | Ahmad, S | |
dc.contributor.author | Leng, L | |
dc.date.accessioned | 2020-03-03T14:06:59Z | |
dc.date.issued | 2020-02-28 | |
dc.description.abstract | This 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.sponsorship | National Natural Science Foundation of China | en_GB |
dc.description.sponsorship | Beijing Municipal Natural Science Foundation | en_GB |
dc.description.sponsorship | Major Science and Technology Program for Water Pollution Control and Treatment | en_GB |
dc.description.sponsorship | UK-China Urban Flood Research Impact Programme | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Article 137630 | en_GB |
dc.identifier.doi | 10.1016/j.scitotenv.2020.137630 | |
dc.identifier.grantnumber | 41890823 | en_GB |
dc.identifier.grantnumber | 7181101209 | en_GB |
dc.identifier.grantnumber | 8161003 | en_GB |
dc.identifier.grantnumber | 2017ZX07205003 | en_GB |
dc.identifier.grantnumber | UUFRIP/100024 | en_GB |
dc.identifier.grantnumber | EP/H015736/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/120147 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_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.subject | Integrated modelling | en_GB |
dc.subject | Cellular Automata Dual-DraInagE Simulation (CADDIES) | en_GB |
dc.subject | Sponge city construction assessment | en_GB |
dc.subject | Low impact development (LID) | en_GB |
dc.subject | Runoff quantity control | en_GB |
dc.title | Integrated 1D and 2D model for better assessing runoff quantity control of low impact development facilities on community scale | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-03-03T14:06:59Z | |
dc.identifier.issn | 0048-9697 | |
exeter.article-number | 137630 | en_GB |
dc.description | This is the author accepted manuscript. The final version is available on open access from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Science of The Total Environment | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-02-27 | |
exeter.funder | ::Royal Academy of Engineering (RAE) | en_GB |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2020-02-28 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-03-03T13:52:34Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-03-03T14:08:02Z | |
refterms.panel | B | en_GB |
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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/