Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/256770 |
Resumo: | Current forecasts estimate that almost 68% of the global population will be living in urban centers by 2050. As a result, the increase in impermeable surface area can result in severe hydrological impacts, such as the increase in surface runoff and the frequency of floods and their magnitude. Thus, this work analyzes the performance of the hydrodynamic model HEC-RAS for assessing the extent of flood-prone areas, using two digital terrain models (DTM) with different spatial resolutions (5 and 0.50 m). Four different computing intervals (1, 15, 30, and 60 s) were adopted aiming to evaluate the simulations outputs performance. Additionally, reported data by the civil defense are used for calibration and validation. In general, the model showed to be a powerful tool in the identification of susceptible areas to urban flooding. The simulated results in this work provide crucial geographic information when identifying spots with the highest risk of flooding, which should receive priority attention during such events. The simulations with a spatial resolution of 5 m showed the flood maps with the largest coverage of the flooded points (278 points out of 286—97.20%), within the shortest computation times. We highlight that the more refined DTM derived from spatial images did not produce the best flood simulation compared to the DTM with a spatial resolution of 5 m derived from orthoimages. |
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Escobar-Silva, Elton VicenteAlmeida, Cláudia Maria deSilva, Gustavo Barbosa Lima daBurteinas, IngobertRocha Filho, Kleber Lopes daOliveira, Cleber Gonzales deFagundes, Marina RefattiPaiva, Rodrigo Cauduro Dias de2023-04-07T03:25:28Z20232073-4441http://hdl.handle.net/10183/256770001165767Current forecasts estimate that almost 68% of the global population will be living in urban centers by 2050. As a result, the increase in impermeable surface area can result in severe hydrological impacts, such as the increase in surface runoff and the frequency of floods and their magnitude. Thus, this work analyzes the performance of the hydrodynamic model HEC-RAS for assessing the extent of flood-prone areas, using two digital terrain models (DTM) with different spatial resolutions (5 and 0.50 m). Four different computing intervals (1, 15, 30, and 60 s) were adopted aiming to evaluate the simulations outputs performance. Additionally, reported data by the civil defense are used for calibration and validation. In general, the model showed to be a powerful tool in the identification of susceptible areas to urban flooding. The simulated results in this work provide crucial geographic information when identifying spots with the highest risk of flooding, which should receive priority attention during such events. The simulations with a spatial resolution of 5 m showed the flood maps with the largest coverage of the flooded points (278 points out of 286—97.20%), within the shortest computation times. We highlight that the more refined DTM derived from spatial images did not produce the best flood simulation compared to the DTM with a spatial resolution of 5 m derived from orthoimages.application/pdfengWater. Basel. Vol. 15, n. 5 (Mar. 2023), [Article] 1127, 19 p.Inundações : SimulaçãoModelo HEC-RASInundações urbanasModelo digital de terrenoSão Caetano do Sul (SP)Flood simulationFlood managementHydrodinamic modelingTwo-dimensional simulationAssessing the extent of flood-prone areas in a south-american megacity using different high resolution dtmsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001165767.pdf.txt001165767.pdf.txtExtracted Texttext/plain68262http://www.lume.ufrgs.br/bitstream/10183/256770/2/001165767.pdf.txtb1fd4f0df0670d969857c29f9c609122MD52ORIGINAL001165767.pdfTexto completo (inglês)application/pdf5195705http://www.lume.ufrgs.br/bitstream/10183/256770/1/001165767.pdf46ca03f96238f88ff1dbdfba6fba267eMD5110183/2567702023-04-08 03:29:03.419935oai:www.lume.ufrgs.br:10183/256770Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-04-08T06:29:03Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms |
title |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms |
spellingShingle |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms Escobar-Silva, Elton Vicente Inundações : Simulação Modelo HEC-RAS Inundações urbanas Modelo digital de terreno São Caetano do Sul (SP) Flood simulation Flood management Hydrodinamic modeling Two-dimensional simulation |
title_short |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms |
title_full |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms |
title_fullStr |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms |
title_full_unstemmed |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms |
title_sort |
Assessing the extent of flood-prone areas in a south-american megacity using different high resolution dtms |
author |
Escobar-Silva, Elton Vicente |
author_facet |
Escobar-Silva, Elton Vicente Almeida, Cláudia Maria de Silva, Gustavo Barbosa Lima da Burteinas, Ingobert Rocha Filho, Kleber Lopes da Oliveira, Cleber Gonzales de Fagundes, Marina Refatti Paiva, Rodrigo Cauduro Dias de |
author_role |
author |
author2 |
Almeida, Cláudia Maria de Silva, Gustavo Barbosa Lima da Burteinas, Ingobert Rocha Filho, Kleber Lopes da Oliveira, Cleber Gonzales de Fagundes, Marina Refatti Paiva, Rodrigo Cauduro Dias de |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Escobar-Silva, Elton Vicente Almeida, Cláudia Maria de Silva, Gustavo Barbosa Lima da Burteinas, Ingobert Rocha Filho, Kleber Lopes da Oliveira, Cleber Gonzales de Fagundes, Marina Refatti Paiva, Rodrigo Cauduro Dias de |
dc.subject.por.fl_str_mv |
Inundações : Simulação Modelo HEC-RAS Inundações urbanas Modelo digital de terreno São Caetano do Sul (SP) |
topic |
Inundações : Simulação Modelo HEC-RAS Inundações urbanas Modelo digital de terreno São Caetano do Sul (SP) Flood simulation Flood management Hydrodinamic modeling Two-dimensional simulation |
dc.subject.eng.fl_str_mv |
Flood simulation Flood management Hydrodinamic modeling Two-dimensional simulation |
description |
Current forecasts estimate that almost 68% of the global population will be living in urban centers by 2050. As a result, the increase in impermeable surface area can result in severe hydrological impacts, such as the increase in surface runoff and the frequency of floods and their magnitude. Thus, this work analyzes the performance of the hydrodynamic model HEC-RAS for assessing the extent of flood-prone areas, using two digital terrain models (DTM) with different spatial resolutions (5 and 0.50 m). Four different computing intervals (1, 15, 30, and 60 s) were adopted aiming to evaluate the simulations outputs performance. Additionally, reported data by the civil defense are used for calibration and validation. In general, the model showed to be a powerful tool in the identification of susceptible areas to urban flooding. The simulated results in this work provide crucial geographic information when identifying spots with the highest risk of flooding, which should receive priority attention during such events. The simulations with a spatial resolution of 5 m showed the flood maps with the largest coverage of the flooded points (278 points out of 286—97.20%), within the shortest computation times. We highlight that the more refined DTM derived from spatial images did not produce the best flood simulation compared to the DTM with a spatial resolution of 5 m derived from orthoimages. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-04-07T03:25:28Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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article |
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http://hdl.handle.net/10183/256770 |
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2073-4441 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001165767 |
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2073-4441 001165767 |
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http://hdl.handle.net/10183/256770 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Water. Basel. Vol. 15, n. 5 (Mar. 2023), [Article] 1127, 19 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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