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Gonzales, J., (2022). Evaluación de riesgo por inundación de la Quebrada San Idelfonso, en el distrito de El Porvenir [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/30731
Gonzales, J., Evaluación de riesgo por inundación de la Quebrada San Idelfonso, en el distrito de El Porvenir [Tesis]. PE: Universidad Privada del Norte; 2022. https://hdl.handle.net/11537/30731
@misc{renati/405581,
title = "Evaluación de riesgo por inundación de la Quebrada San Idelfonso, en el distrito de El Porvenir",
author = "Gonzales Alfaro, Jhoselyn Edith",
publisher = "Universidad Privada del Norte",
year = "2022"
}
Title: Evaluación de riesgo por inundación de la Quebrada San Idelfonso, en el distrito de El Porvenir
Authors(s): Gonzales Alfaro, Jhoselyn Edith
Advisor(s): Aguilar Villena, Roxana Milagros
Keywords: Desastres naturales; Inundaciones; Prevención de desastres; Riesgo; Peligrosidad; Vulnerabilidad; Flood; Risk; Danger; Vulnerability
OCDE field: https://purl.org/pe-repo/ocde/ford#2.01.01
Issue Date: 18-Feb-2022
Institution: Universidad Privada del Norte
Abstract: La presente investigación titulada: “Evaluación de riesgo por inundación de La Quebrada San Idelfonso, en el Distrito de El Porvenir”, tiene como objetivo principal evaluar el nivel de riesgo por inundación de la quebrada San Idelfonso en el Distrito de El Porvenir. Para esto, se identificó y caracterizó los parámetros de evaluación de inundaciones. La tesis según su propósito es una investigación aplicada y según su diseño es de tipo no experimental debido a que describe realidades y analiza hechos sin manipular las variables, que tiene como población de estudio a 866 viviendas aledañas al cauce de la quebrada San Idelfonso y una muestra de 206 viviendas, utilizando como técnicas de recolección, la revisión documentaria / Registros, entrevista y la observación, e instrumentos como las Fichas de registro de precipitaciones validadas por el SENAMHI, Sistema de información geográfico GEOCATMIN, Imágenes DEM proporcionado por el Programa ASF data search Vertex, y Guía de Entrevista basados en el Manual del CENEPRED, para el procesamiento de los datos se utilizaron los software ArcGIS, Google Earth, Hydrognomon y Microsoft Excel. Como resultado, esta investigación cuenta con un valor de peligrosidad de 0.234 y de vulnerabilidad de 0.222, variables para la determinación de riesgo por inundación con un valor de 0.052, calificándose como Riesgo Alto. Por lo que se propone alternativas de mitigación estructurales y no estructurales, mediante la implementación y ejecución de obras civiles (diques, enrocados y gaviones), así como la presencia de los gobiernos locales y nacionales para el fortalecimiento, capacitación y sensibilización a la población vulnerable.
The present investigation entitled: "Flood risk assessment of the San Idelfonso Ravine, in the El Porvenir District", has as its main objective to evaluate the level of flood risk of the San Idelfonso Ravine in the El Porvenir District. For this, the flood evaluation parameters were identified and characterized. According to its purpose, the thesis is an applied research and according to its design it is of a non-experimental type because it describes realities and analyzes facts without manipulating the variables, which has as a study population 866 houses near the bed of the San Idelfonso creek and a sample of 206 homes, using as collection techniques, documentary review / Records, interview and observation, and instruments such as the Rainfall Record Sheets validated by SENAMHI, GEOCATMIN Geographic Information System, DEM Images provided by the ASF Data Program search Vertex, and Interview Guide based on the CENEPRED Manual, ArcGIS, Google Earth, Hydrognomon and Microsoft Excel software were used for data processing. As a result, this research has a hazard value of 0.234 and a vulnerability value of 0.222, variables for determining flood risk with a value of 0.052, qualifying as High Risk. For this reason, structural and non-structural mitigation alternatives are proposed, through the implementation and execution of civil works (dams, rockfill and gabions), as well as the presence of local and national governments for the strengthening, training and awareness of the vulnerable population.
The present investigation entitled: "Flood risk assessment of the San Idelfonso Ravine, in the El Porvenir District", has as its main objective to evaluate the level of flood risk of the San Idelfonso Ravine in the El Porvenir District. For this, the flood evaluation parameters were identified and characterized. According to its purpose, the thesis is an applied research and according to its design it is of a non-experimental type because it describes realities and analyzes facts without manipulating the variables, which has as a study population 866 houses near the bed of the San Idelfonso creek and a sample of 206 homes, using as collection techniques, documentary review / Records, interview and observation, and instruments such as the Rainfall Record Sheets validated by SENAMHI, GEOCATMIN Geographic Information System, DEM Images provided by the ASF Data Program search Vertex, and Interview Guide based on the CENEPRED Manual, ArcGIS, Google Earth, Hydrognomon and Microsoft Excel software were used for data processing. As a result, this research has a hazard value of 0.234 and a vulnerability value of 0.222, variables for determining flood risk with a value of 0.052, qualifying as High Risk. For this reason, structural and non-structural mitigation alternatives are proposed, through the implementation and execution of civil works (dams, rockfill and gabions), as well as the presence of local and national governments for the strengthening, training and awareness of the vulnerable population.
Link to repository: https://hdl.handle.net/11537/30731
Discipline: Ingeniería Civil
Grade or title grantor: Universidad Privada del Norte. Facultad de Ingeniería
Grade or title: Ingeniero Civil
Juror: Rubio Herrera, Sonia; Alvarado Ruiz, Cinthya; Sagastegui Vásquez, Germán
Register date: 24-Jun-2022
This item is licensed under a Creative Commons License