Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash

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The objective is to identify the areas exposed to risk by flood due to the occurrence of maximum discharges of river Santa in the sector of Challhua, Huaraz. Through the probabilistic method of Gumbel, it was determined the base flow and the maximum flow of the studied area for dierent return period...

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Autor: Tinoco Meyhuay, Tito
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Nacional Santiago Antúnez de Mayolo
Repositorio:Revistas - Universidad Nacional Santiago Antunez de Mayolo
Lenguaje:español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/643
Enlace del recurso:http://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/643
Nivel de acceso:acceso abierto
Materia:Inundación
Caudal máximo
Peligro
Vulnerabilidad
Riesgo
flood
maximum flow
danger
vulnerability
risk
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spelling Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-AncashModelamiento del riesgo de inundación por la ocurrencia de descargas máximas del rio Santa, sector Challhua, Huaraz-AncashTinoco Meyhuay, TitoInundaciónCaudal máximoPeligroVulnerabilidadRiesgofloodmaximum flowdangervulnerabilityriskThe objective is to identify the areas exposed to risk by flood due to the occurrence of maximum discharges of river Santa in the sector of Challhua, Huaraz. Through the probabilistic method of Gumbel, it was determined the base flow and the maximum flow of the studied area for dierent return periods (5, 10, 50, 100 y 200 years). Besides, the levels of water and the flood areas were determined through the programs HecRAS and HecGeoRAS, whose results ranged between 371,49 square meters for the base flow and 1927,08 square meters for a return period of 200 years. In addition, it was determined that 91 houses and 18 market modules present very high vulnerability, 91 houses and 20 market modules high vulnerability, 94 houses medium vulnerability and 91 houses low vulnerability. The overlap of the flood areas and the vulnerability map determined the risk, finding that the 8,2 % of houses and the 47,4 % of market modules are in very high risk, the 41,1 % of houses, the 52,6 % of market modules and the 100 % of sportif infrastructure are in high risk, while the 25,6 % of houses are in medium risk and the 24,8 % of houses in low riskEl objetivo es identificar las zonas expuestas a riesgo por inundación asociada a las ocurrencias de descargas máximas del río Santa en el sector Challhua, Huaraz.Mediante el método probabilístico de Gumbel, se determinó el caudal base y los caudales máximos en la zona de estudio para diferentes períodos de retorno (5, 10, 50, 100 y 200 años). Además, se determinaron los niveles de agua y las áreas de inundación a través de los programas HecRAS y HecGeoRAS, cuyos resultados oscilaron entre 371,49m2 para el caudal base y 1927,08m2 para un periodo de retorno de 200 años. Además, se determinaron que 91 viviendas y 18 módulos de mercado presentan vulnerabilidad muy alta, 91 viviendas y 20 módulos de mercado vulnerabilidad alta, 94 viviendas vulnerabilidad media y 91 viviendas vulnerabilidad baja. La superposición de las áreas de inundación y el mapa de vulnerabilidad determinó el riesgo, encontrándose que el 8,2 % de viviendas y el 47,4 % de módulos de mercado están en riesgo muy alto, el 41,4 % de viviendas, el 52,6 % de módulos de mercado y el 100 % de infraestructura deportiva están en riesgo alto, mientras que el 25,6 % de viviendas se encuentran en riesgo medio y el 24,8 % de viviendas en riesgo bajoUniversidad Nacional Santiago Antúnez de Mayolo2019-12-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/64310.32911/as.2019.v12.n2.643Aporte Santiaguino; Vol. 12, Núm. 2 (2019): Julio-Diciembre; Pág: 214-2272616-95412070-836Xreponame:Revistas - Universidad Nacional Santiago Antunez de Mayoloinstname:Universidad Nacional Santiago Antúnez de Mayoloinstacron:UNASAMspahttp://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/643/802http://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/643/814info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/6432019-12-24T14:31:01Z
dc.title.none.fl_str_mv Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
Modelamiento del riesgo de inundación por la ocurrencia de descargas máximas del rio Santa, sector Challhua, Huaraz-Ancash
title Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
spellingShingle Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
Tinoco Meyhuay, Tito
Inundación
Caudal máximo
Peligro
Vulnerabilidad
Riesgo
flood
maximum flow
danger
vulnerability
risk
title_short Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
title_full Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
title_fullStr Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
title_full_unstemmed Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
title_sort Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
dc.creator.none.fl_str_mv Tinoco Meyhuay, Tito
author Tinoco Meyhuay, Tito
author_facet Tinoco Meyhuay, Tito
author_role author
dc.subject.none.fl_str_mv Inundación
Caudal máximo
Peligro
Vulnerabilidad
Riesgo
flood
maximum flow
danger
vulnerability
risk
topic Inundación
Caudal máximo
Peligro
Vulnerabilidad
Riesgo
flood
maximum flow
danger
vulnerability
risk
description The objective is to identify the areas exposed to risk by flood due to the occurrence of maximum discharges of river Santa in the sector of Challhua, Huaraz. Through the probabilistic method of Gumbel, it was determined the base flow and the maximum flow of the studied area for dierent return periods (5, 10, 50, 100 y 200 years). Besides, the levels of water and the flood areas were determined through the programs HecRAS and HecGeoRAS, whose results ranged between 371,49 square meters for the base flow and 1927,08 square meters for a return period of 200 years. In addition, it was determined that 91 houses and 18 market modules present very high vulnerability, 91 houses and 20 market modules high vulnerability, 94 houses medium vulnerability and 91 houses low vulnerability. The overlap of the flood areas and the vulnerability map determined the risk, finding that the 8,2 % of houses and the 47,4 % of market modules are in very high risk, the 41,1 % of houses, the 52,6 % of market modules and the 100 % of sportif infrastructure are in high risk, while the 25,6 % of houses are in medium risk and the 24,8 % of houses in low risk
publishDate 2019
dc.date.none.fl_str_mv 2019-12-23
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/643
10.32911/as.2019.v12.n2.643
url http://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/643
identifier_str_mv 10.32911/as.2019.v12.n2.643
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv http://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/643/802
http://revistas.unasam.edu.pe/index.php/Aporte_Santiaguino/article/view/643/814
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Universidad Nacional Santiago Antúnez de Mayolo
publisher.none.fl_str_mv Universidad Nacional Santiago Antúnez de Mayolo
dc.source.none.fl_str_mv Aporte Santiaguino; Vol. 12, Núm. 2 (2019): Julio-Diciembre; Pág: 214-227
2616-9541
2070-836X
reponame:Revistas - Universidad Nacional Santiago Antunez de Mayolo
instname:Universidad Nacional Santiago Antúnez de Mayolo
instacron:UNASAM
instname_str Universidad Nacional Santiago Antúnez de Mayolo
instacron_str UNASAM
institution UNASAM
reponame_str Revistas - Universidad Nacional Santiago Antunez de Mayolo
collection Revistas - Universidad Nacional Santiago Antunez de Mayolo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 12.8479
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