Flood risk modeling due to the ocurrence of maximum discharges from the Santa river, Challhua sector, Huaraz-Ancash
Descripción del Articulo
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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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 |
Sumario: | 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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).