River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study
Costa Rica’s River systems play a pivotal role in providing valuable resources for society. Given that the country is exposed to a water dense, tropical climate, it is crucial to assess flooding risk and plan for extreme events. In this paper, the first step towards a river simulation pipeline is e...
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| Format: | Article |
| Language: | English |
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Universidad Autónoma de Bucaramanga
2025-01-01
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| Series: | Revista Colombiana de Computación |
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| Online Access: | https://revistas.unab.edu.co/index.php/rcc/article/view/5103 |
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| author | Johansell Villalobos Daniel Caviedes-Voullième Esteban Meneses |
| author_facet | Johansell Villalobos Daniel Caviedes-Voullième Esteban Meneses |
| author_sort | Johansell Villalobos |
| collection | DOAJ |
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Costa Rica’s River systems play a pivotal role in providing valuable resources for society. Given that the country is exposed to a water dense, tropical climate, it is crucial to assess flooding risk and plan for extreme events. In this paper, the first step towards a river simulation pipeline is established using the Reventazón River as case study. To achieve this, an HPC portable shallow water equation solver was implemented. Boundary and initial conditions were set using QGIS and Python, and a simple Manning model was considered for friction. No rainfall, infiltration, or subsurface modeling was implemented in this work. The simulation yielded good results qualitatively on water flow for the whole Reventazón River. More complex simulations are enabled with these results given that an initial condition for water flow in the river was established.
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| format | Article |
| id | doaj-art-143f9bb123674335bc57c729651d3a2b |
| institution | Kabale University |
| issn | 1657-2831 2539-2115 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Universidad Autónoma de Bucaramanga |
| record_format | Article |
| series | Revista Colombiana de Computación |
| spelling | doaj-art-143f9bb123674335bc57c729651d3a2b2025-01-27T19:31:13ZengUniversidad Autónoma de BucaramangaRevista Colombiana de Computación1657-28312539-21152025-01-0125210.29375/25392115.5103River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case StudyJohansell Villalobos0Daniel Caviedes-Voullième1Esteban Meneses2National High Technology CenterJülich Supercomputing Centre (JSC)National High Technology Center Costa Rica’s River systems play a pivotal role in providing valuable resources for society. Given that the country is exposed to a water dense, tropical climate, it is crucial to assess flooding risk and plan for extreme events. In this paper, the first step towards a river simulation pipeline is established using the Reventazón River as case study. To achieve this, an HPC portable shallow water equation solver was implemented. Boundary and initial conditions were set using QGIS and Python, and a simple Manning model was considered for friction. No rainfall, infiltration, or subsurface modeling was implemented in this work. The simulation yielded good results qualitatively on water flow for the whole Reventazón River. More complex simulations are enabled with these results given that an initial condition for water flow in the river was established. https://revistas.unab.edu.co/index.php/rcc/article/view/5103River mappingshallow water equationsGPU computingHPC |
| spellingShingle | Johansell Villalobos Daniel Caviedes-Voullième Esteban Meneses River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study Revista Colombiana de Computación River mapping shallow water equations GPU computing HPC |
| title | River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study |
| title_full | River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study |
| title_fullStr | River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study |
| title_full_unstemmed | River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study |
| title_short | River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study |
| title_sort | river mapping using the shallow water equations on gpu clusters costa rica as a case study |
| topic | River mapping shallow water equations GPU computing HPC |
| url | https://revistas.unab.edu.co/index.php/rcc/article/view/5103 |
| work_keys_str_mv | AT johansellvillalobos rivermappingusingtheshallowwaterequationsongpuclusterscostaricaasacasestudy AT danielcaviedesvoullieme rivermappingusingtheshallowwaterequationsongpuclusterscostaricaasacasestudy AT estebanmeneses rivermappingusingtheshallowwaterequationsongpuclusterscostaricaasacasestudy |