Use of large-scale hydrological models to predict dam break-related impacts
ABSTRACT In this research study, the MGB-IPH (acronym for Large Scale Model in Portuguese - Modelo de Grandes Bacias) was used to simulate the propagation of a dam breach hydrograph estimated from predictor equations for the Três Marias Hydropower Dam, considered one of the largest in South America....
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Recursos Hídricos
2020-08-01
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| Series: | Revista Brasileira de Recursos Hídricos |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100232&tlng=en |
| _version_ | 1798022028293308416 |
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| author | Arthur da Fontoura Tschiedel Rodrigo Cauduro Dias de Paiva Fernando Mainardi Fan |
| author_facet | Arthur da Fontoura Tschiedel Rodrigo Cauduro Dias de Paiva Fernando Mainardi Fan |
| author_sort | Arthur da Fontoura Tschiedel |
| collection | DOAJ |
| description | ABSTRACT In this research study, the MGB-IPH (acronym for Large Scale Model in Portuguese - Modelo de Grandes Bacias) was used to simulate the propagation of a dam breach hydrograph estimated from predictor equations for the Três Marias Hydropower Dam, considered one of the largest in South America. The results of the peak flow, peak time and flood spot were compared with results of the Hec-Ras 5.06 model, typically used for local-scale dam break studies. As for the extent of the flood, a hit rate of 84% and a median error of 2.1 meters deep, along 4,055 km2 of the flooded area downstream was obtained. Maximum errors of 13% were observed in the prediction of the peak flow and of 20% for the peak time in distant locations up to 526 km downstream from the dam, thus establishing itself within the limits of the typical uncertainties associated with dam break studies. Thus, the potential of using this type of approach in previous studies of large dam failures is explored, configuring this method as an alternative to the use of robust or simplified models for determining downstream areas potentially affected by these disasters. |
| first_indexed | 2024-04-11T17:23:07Z |
| format | Article |
| id | doaj.art-11a78023e350488b9b9e5c2bb1f2419d |
| institution | Directory Open Access Journal |
| issn | 2318-0331 |
| language | English |
| last_indexed | 2024-04-11T17:23:07Z |
| publishDate | 2020-08-01 |
| publisher | Associação Brasileira de Recursos Hídricos |
| record_format | Article |
| series | Revista Brasileira de Recursos Hídricos |
| spelling | doaj.art-11a78023e350488b9b9e5c2bb1f2419d2022-12-22T04:12:27ZengAssociação Brasileira de Recursos HídricosRevista Brasileira de Recursos Hídricos2318-03312020-08-012510.1590/2318-0331.252020190128Use of large-scale hydrological models to predict dam break-related impactsArthur da Fontoura Tschiedelhttps://orcid.org/0000-0003-1995-5627Rodrigo Cauduro Dias de Paivahttps://orcid.org/0000-0003-2918-6681Fernando Mainardi Fanhttps://orcid.org/0000-0003-0371-7851ABSTRACT In this research study, the MGB-IPH (acronym for Large Scale Model in Portuguese - Modelo de Grandes Bacias) was used to simulate the propagation of a dam breach hydrograph estimated from predictor equations for the Três Marias Hydropower Dam, considered one of the largest in South America. The results of the peak flow, peak time and flood spot were compared with results of the Hec-Ras 5.06 model, typically used for local-scale dam break studies. As for the extent of the flood, a hit rate of 84% and a median error of 2.1 meters deep, along 4,055 km2 of the flooded area downstream was obtained. Maximum errors of 13% were observed in the prediction of the peak flow and of 20% for the peak time in distant locations up to 526 km downstream from the dam, thus establishing itself within the limits of the typical uncertainties associated with dam break studies. Thus, the potential of using this type of approach in previous studies of large dam failures is explored, configuring this method as an alternative to the use of robust or simplified models for determining downstream areas potentially affected by these disasters.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100232&tlng=enLarge scale hydrological modelsDam break simulationInundation boundary |
| spellingShingle | Arthur da Fontoura Tschiedel Rodrigo Cauduro Dias de Paiva Fernando Mainardi Fan Use of large-scale hydrological models to predict dam break-related impacts Revista Brasileira de Recursos Hídricos Large scale hydrological models Dam break simulation Inundation boundary |
| title | Use of large-scale hydrological models to predict dam break-related impacts |
| title_full | Use of large-scale hydrological models to predict dam break-related impacts |
| title_fullStr | Use of large-scale hydrological models to predict dam break-related impacts |
| title_full_unstemmed | Use of large-scale hydrological models to predict dam break-related impacts |
| title_short | Use of large-scale hydrological models to predict dam break-related impacts |
| title_sort | use of large scale hydrological models to predict dam break related impacts |
| topic | Large scale hydrological models Dam break simulation Inundation boundary |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100232&tlng=en |
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