000110569 001__ 110569
000110569 005__ 20220908120605.0
000110569 0247_ $$2doi$$a10.3390/hydrology8040146
000110569 0248_ $$2sideral$$a126782
000110569 037__ $$aART-2021-126782
000110569 041__ $$aeng
000110569 100__ $$0(orcid)0000-0002-3635-6223$$aFernández-Pato, J.$$uUniversidad de Zaragoza
000110569 245__ $$aAn efficient GPU implementation of a coupled overland-sewer hydraulic model with pollutant transport
000110569 260__ $$c2021
000110569 5060_ $$aAccess copy available to the general public$$fUnrestricted
000110569 5203_ $$aNumerical simulation of flows that consider interaction between overland and drainage networks has become a practical tool to prevent and mitigate flood situations in urban environments, especially when dealing with intense storm events, where the limited capacity of the sewer systems can be a trigger for flooding. Additionally, in order to prevent any kind of pollutant dispersion through the drainage network, it is very interesting to have a certain monitorization or control over the quality of the water that flows in both domains. In this sense, the addition of a pollutant transport component to both surface and sewer hydraulic models would benefit the global analysis of the combined water flow. On the other hand, when considering a realistic large domain with complex topography or streets structure, a fine spatial discretization is mandatory. Hence the number of grid cells is usually very large and, therefore, it is necessary to use parallelization techniques for the calculation, the use of Graphic Processing Units (GPU) being one of the most efficient due to the leveraging of thousands of processors within a single device. In this work, an efficient GPU-based 2D shallow water flow solver (RiverFlow2D-GPU) is fully coupled with EPA’s Storm Water Management Model (SWMM). Both models are able to develop a transient water quality analysis taking into account several pollutants. The coupled model, referred to as RiverFlow2D-GPU UD (Urban Drainge) is applied to three real-world cases, covering the most common hydraulic situations in urban hydrology/hydraulics. A UK Environmental Agency test case is used as model validation, showing a good agreement between RiverFlow2D-GPU UD and the rest of the numerical models considered. The efficiency of the model is proven in two more complex domains, leading to a >100x faster simulations compared with the traditional CPU computation. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
000110569 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T32-20R
000110569 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000110569 592__ $$a0.569$$b2021
000110569 594__ $$a3.6$$b2021
000110569 593__ $$aEarth-Surface Processes$$c2021$$dQ2
000110569 593__ $$aWater Science and Technology$$c2021$$dQ2
000110569 593__ $$aOceanography$$c2021$$dQ2
000110569 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000110569 700__ $$aGarcía-Navarro, P.
000110569 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000110569 773__ $$g8, 4 (2021), 146 [22 pp]$$tHydrology$$x2306-5338
000110569 8564_ $$s14653026$$uhttps://zaguan.unizar.es/record/110569/files/texto_completo.pdf$$yVersión publicada
000110569 8564_ $$s2444257$$uhttps://zaguan.unizar.es/record/110569/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000110569 909CO $$ooai:zaguan.unizar.es:110569$$particulos$$pdriver
000110569 951__ $$a2022-09-08-11:58:14
000110569 980__ $$aARTICLE