An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport
Numerical 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 trigg...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Hydrology |
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| Online Access: | https://www.mdpi.com/2306-5338/8/4/146 |
| _version_ | 1797503994323533824 |
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| author | Javier Fernández-Pato Pilar García-Navarro |
| author_facet | Javier Fernández-Pato Pilar García-Navarro |
| author_sort | Javier Fernández-Pato |
| collection | DOAJ |
| description | Numerical 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. |
| first_indexed | 2024-03-10T03:58:20Z |
| format | Article |
| id | doaj.art-42e92a10ac7e40cdbf12a268931099ed |
| institution | Directory Open Access Journal |
| issn | 2306-5338 |
| language | English |
| last_indexed | 2024-03-10T03:58:20Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Hydrology |
| spelling | doaj.art-42e92a10ac7e40cdbf12a268931099ed2023-11-23T08:39:14ZengMDPI AGHydrology2306-53382021-09-018414610.3390/hydrology8040146An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant TransportJavier Fernández-Pato0Pilar García-Navarro1I3A, Fluid Mechanics, University of Zaragoza, 50018 Zaragoza, SpainI3A, Fluid Mechanics, University of Zaragoza, 50018 Zaragoza, SpainNumerical 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.https://www.mdpi.com/2306-5338/8/4/146finite volumesshallow-water equationsRiverFlow2D-GPUSWMMwater quality |
| spellingShingle | Javier Fernández-Pato Pilar García-Navarro An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport Hydrology finite volumes shallow-water equations RiverFlow2D-GPU SWMM water quality |
| title | An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport |
| title_full | An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport |
| title_fullStr | An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport |
| title_full_unstemmed | An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport |
| title_short | An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport |
| title_sort | efficient gpu implementation of a coupled overland sewer hydraulic model with pollutant transport |
| topic | finite volumes shallow-water equations RiverFlow2D-GPU SWMM water quality |
| url | https://www.mdpi.com/2306-5338/8/4/146 |
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