Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander
This study seeks to establish the level of risk to flood events, for this topographic information obtained from the NASA ALOS PALSAR mission, IDEAM hydrometeorological information and IGAC cartographic data were used, which were processed in the free-use geographic information in QGIS and in Microso...
- Autores:
-
Aguilar Ariza, Cesar Mauricio
Nova Torres, Angie Vivian
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad Antonio Nariño
- Repositorio:
- Repositorio UAN
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uan.edu.co:123456789/8383
- Acceso en línea:
- http://repositorio.uan.edu.co/handle/123456789/8383
- Palabra clave:
- Crecidas
Evaluación de riesgo
Morfometría
Régimen Hidrológico
Sistemas de información geográfica
Tiempo de Concentración
624
48.23 A283a
Concentration time
Flash Floods
Geographic Information Systems
Hydrological regime
Morphometry
Risk Evaluation,
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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| dc.title.es_ES.fl_str_mv |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander |
| title |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander |
| spellingShingle |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander Crecidas Evaluación de riesgo Morfometría Régimen Hidrológico Sistemas de información geográfica Tiempo de Concentración 624 48.23 A283a Concentration time Flash Floods Geographic Information Systems Hydrological regime Morphometry Risk Evaluation, |
| title_short |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander |
| title_full |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander |
| title_fullStr |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander |
| title_full_unstemmed |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander |
| title_sort |
Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, Santander |
| dc.creator.fl_str_mv |
Aguilar Ariza, Cesar Mauricio Nova Torres, Angie Vivian |
| dc.contributor.advisor.spa.fl_str_mv |
Osorio Bustamante, Edison Morales Rey, Alexandra |
| dc.contributor.author.spa.fl_str_mv |
Aguilar Ariza, Cesar Mauricio Nova Torres, Angie Vivian |
| dc.subject.es_ES.fl_str_mv |
Crecidas Evaluación de riesgo Morfometría Régimen Hidrológico Sistemas de información geográfica Tiempo de Concentración |
| topic |
Crecidas Evaluación de riesgo Morfometría Régimen Hidrológico Sistemas de información geográfica Tiempo de Concentración 624 48.23 A283a Concentration time Flash Floods Geographic Information Systems Hydrological regime Morphometry Risk Evaluation, |
| dc.subject.ddc.es_ES.fl_str_mv |
624 48.23 A283a |
| dc.subject.keyword.es_ES.fl_str_mv |
Concentration time Flash Floods Geographic Information Systems Hydrological regime Morphometry Risk Evaluation, |
| description |
This study seeks to establish the level of risk to flood events, for this topographic information obtained from the NASA ALOS PALSAR mission, IDEAM hydrometeorological information and IGAC cartographic data were used, which were processed in the free-use geographic information in QGIS and in Microsoft Excel spreadsheets. After their respective processing, morphometric and hydrological indices were calculated, which were compared with results obtained by researchers from different parts of the world who carried out similar investigations, based on their experience, an analysis of the results obtained was generated based on the possibility of presenting an instantaneous discharge of water within the sub-basin and their respective concentration and delay times. |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-08-04T14:43:43Z |
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2023-08-04T14:43:43Z |
| dc.date.issued.spa.fl_str_mv |
2023-05-25 |
| dc.type.spa.fl_str_mv |
Trabajo de grado (Pregrado y/o Especialización) |
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http://purl.org/coar/resource_type/c_7a1f |
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http://repositorio.uan.edu.co/handle/123456789/8383 |
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Adnan, M. S. G., Dewan, A., Zannat, K. E., & Abdullah, A. Y. M. (2019). The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh. Natural Hazards, 99(1), 425–448. https://doi.org/10.1007/s11069- 019-03749-3 Ahmed, A., Alrajhi, A., Alquwaizany, A., Al Maliki, A., & Hewa, G. (2022). Flood Susceptibility Mapping Using Watershed Geomorphic Data in the Onkaparinga Basin, South Australia. Sustainability (Switzerland), 14(23). https://doi.org/10.3390/su142316270 ALOS PALSAR. (2023). Digital Elevation Model. https://asf.alaska.edu/data-sets/sar-data-sets/alospalsar/ Al-Saady, Y. I., Al-Suhail, Q. A., Al-Tawash, B. S., & Othman, A. A. (2016). Drainage network extraction and morphometric analysis using remote sensing and GIS mapping techniques (Lesser Zab River Basin, Iraq and Iran). Environmental Earth Sciences, 75(18). https://doi.org/10.1007/s12665-016-6038-y Arango, M. I., Aristizábal, E., & Gómez, F. (2021). Morphometrical analysis of torrential flows-prone catchments in tropical and mountainous terrain of the Colombian Andes by machine learning techniques. Natural Hazards, 105(1), 983–1012. https://doi.org/10.1007/s11069-020-04346-5 Basara, J. B. (2001). SOIL MOISTURE OBSERVATIONS FOR FLASH FLOOD RESEARCH AND PREDICTION. https://doi.org/10.1007/978-94-010-0918-8_22 Buffington, J. M., & Montgomery, D. R. (2013). Geomorphic Classification of Rivers. In Treatise on Geomorphology (Vol. 9, pp. 730–767). Elsevier Inc. https://doi.org/10.1016/B978-0-12-374739-6.00263-3 Campo, A. M., Aldalur, N. B., & Fernández, S. N. (2012). Fluvial morphometry applied to an urban watershed in Ingeniero White, República Argentina. Investigaciones Geográficas, 77, 7–17. https://www.scielo.org.mx/pdf/igeo/n77/n77a2.pdf Coromoto Marín, H., Bravo Medina, C. A., & Manjarrez Fuentes, N. N. (2017). Análisis de vulnerabilidad ambiental Ciencia y Tecnología, 10(2), 1–8. https://doi.org/10.18779/cyt.v10i2.160 Cruz Torrez, H. E., & Cheng Lugo, L. N. (2019). Análisis de riesgo hidrográfico por crecidasen la desembocadura de la quebradaCay [Universidad de Ibagué]. https://repositorio.unibague.edu.co/server/api/core/bitstreams/f49e37bb-ecb6-4235-b1e7d2237c161f46/content |
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Adnan, M. S. G., Dewan, A., Zannat, K. E., & Abdullah, A. Y. M. (2019). The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh. Natural Hazards, 99(1), 425–448. https://doi.org/10.1007/s11069- 019-03749-3 Ahmed, A., Alrajhi, A., Alquwaizany, A., Al Maliki, A., & Hewa, G. (2022). Flood Susceptibility Mapping Using Watershed Geomorphic Data in the Onkaparinga Basin, South Australia. Sustainability (Switzerland), 14(23). https://doi.org/10.3390/su142316270 ALOS PALSAR. (2023). Digital Elevation Model. https://asf.alaska.edu/data-sets/sar-data-sets/alospalsar/ Al-Saady, Y. I., Al-Suhail, Q. A., Al-Tawash, B. S., & Othman, A. A. (2016). Drainage network extraction and morphometric analysis using remote sensing and GIS mapping techniques (Lesser Zab River Basin, Iraq and Iran). Environmental Earth Sciences, 75(18). https://doi.org/10.1007/s12665-016-6038-y Arango, M. I., Aristizábal, E., & Gómez, F. (2021). Morphometrical analysis of torrential flows-prone catchments in tropical and mountainous terrain of the Colombian Andes by machine learning techniques. Natural Hazards, 105(1), 983–1012. https://doi.org/10.1007/s11069-020-04346-5 Basara, J. B. (2001). SOIL MOISTURE OBSERVATIONS FOR FLASH FLOOD RESEARCH AND PREDICTION. https://doi.org/10.1007/978-94-010-0918-8_22 Buffington, J. M., & Montgomery, D. R. (2013). Geomorphic Classification of Rivers. In Treatise on Geomorphology (Vol. 9, pp. 730–767). Elsevier Inc. https://doi.org/10.1016/B978-0-12-374739-6.00263-3 Campo, A. M., Aldalur, N. B., & Fernández, S. N. (2012). Fluvial morphometry applied to an urban watershed in Ingeniero White, República Argentina. Investigaciones Geográficas, 77, 7–17. https://www.scielo.org.mx/pdf/igeo/n77/n77a2.pdf Coromoto Marín, H., Bravo Medina, C. A., & Manjarrez Fuentes, N. N. (2017). Análisis de vulnerabilidad ambiental Ciencia y Tecnología, 10(2), 1–8. https://doi.org/10.18779/cyt.v10i2.160 Cruz Torrez, H. E., & Cheng Lugo, L. N. (2019). Análisis de riesgo hidrográfico por crecidasen la desembocadura de la quebradaCay [Universidad de Ibagué]. https://repositorio.unibague.edu.co/server/api/core/bitstreams/f49e37bb-ecb6-4235-b1e7d2237c161f46/content instname:Universidad Antonio Nariño reponame:Repositorio Institucional UAN repourl:https://repositorio.uan.edu.co/ |
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Universidad Antonio Nariño |
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Ingeniería Civil |
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Facultad de Ingeniería Civil |
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Bogotá - Sur |
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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)Acceso abiertohttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Osorio Bustamante, EdisonMorales Rey, AlexandraAguilar Ariza, Cesar MauricioNova Torres, Angie Vivian10481821864104817299902023-08-04T14:43:43Z2023-08-04T14:43:43Z2023-05-25http://repositorio.uan.edu.co/handle/123456789/8383Adnan, M. S. G., Dewan, A., Zannat, K. E., & Abdullah, A. Y. M. (2019). The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh. Natural Hazards, 99(1), 425–448. https://doi.org/10.1007/s11069- 019-03749-3Ahmed, A., Alrajhi, A., Alquwaizany, A., Al Maliki, A., & Hewa, G. (2022). Flood Susceptibility Mapping Using Watershed Geomorphic Data in the Onkaparinga Basin, South Australia. Sustainability (Switzerland), 14(23). https://doi.org/10.3390/su142316270ALOS PALSAR. (2023). Digital Elevation Model. https://asf.alaska.edu/data-sets/sar-data-sets/alospalsar/Al-Saady, Y. I., Al-Suhail, Q. A., Al-Tawash, B. S., & Othman, A. A. (2016). Drainage network extraction and morphometric analysis using remote sensing and GIS mapping techniques (Lesser Zab River Basin, Iraq and Iran). Environmental Earth Sciences, 75(18). https://doi.org/10.1007/s12665-016-6038-yArango, M. I., Aristizábal, E., & Gómez, F. (2021). Morphometrical analysis of torrential flows-prone catchments in tropical and mountainous terrain of the Colombian Andes by machine learning techniques. Natural Hazards, 105(1), 983–1012. https://doi.org/10.1007/s11069-020-04346-5Basara, J. B. (2001). SOIL MOISTURE OBSERVATIONS FOR FLASH FLOOD RESEARCH AND PREDICTION. https://doi.org/10.1007/978-94-010-0918-8_22Buffington, J. M., & Montgomery, D. R. (2013). Geomorphic Classification of Rivers. In Treatise on Geomorphology (Vol. 9, pp. 730–767). Elsevier Inc. https://doi.org/10.1016/B978-0-12-374739-6.00263-3Campo, A. M., Aldalur, N. B., & Fernández, S. N. (2012). Fluvial morphometry applied to an urban watershed in Ingeniero White, República Argentina. Investigaciones Geográficas, 77, 7–17. https://www.scielo.org.mx/pdf/igeo/n77/n77a2.pdfCoromoto Marín, H., Bravo Medina, C. A., & Manjarrez Fuentes, N. N. (2017). Análisis de vulnerabilidad ambiental Ciencia y Tecnología, 10(2), 1–8. https://doi.org/10.18779/cyt.v10i2.160Cruz Torrez, H. E., & Cheng Lugo, L. N. (2019). Análisis de riesgo hidrográfico por crecidasen la desembocadura de la quebradaCay [Universidad de Ibagué]. https://repositorio.unibague.edu.co/server/api/core/bitstreams/f49e37bb-ecb6-4235-b1e7d2237c161f46/contentinstname:Universidad Antonio Nariñoreponame:Repositorio Institucional UANrepourl:https://repositorio.uan.edu.co/This study seeks to establish the level of risk to flood events, for this topographic information obtained from the NASA ALOS PALSAR mission, IDEAM hydrometeorological information and IGAC cartographic data were used, which were processed in the free-use geographic information in QGIS and in Microsoft Excel spreadsheets. After their respective processing, morphometric and hydrological indices were calculated, which were compared with results obtained by researchers from different parts of the world who carried out similar investigations, based on their experience, an analysis of the results obtained was generated based on the possibility of presenting an instantaneous discharge of water within the sub-basin and their respective concentration and delay times.: Este estudio busca establecer el nivel de riesgo a eventos de crecidas, para esto se utilizó información de tipo topográfica obtenida de la misión ALOS PALSAR de la NASA, información hidrometeorológica del IDEAM y datos cartográficos del IGAC, los cuales fueron procesados en el sistema de información geográfica de uso libre QGIS y en hojas de cálculo de Microsoft Excel. Después de su respectivo procesamiento, se calcularon índices morfométricos e hidrológicos, que fueron comparados con resultados obtenidos por investigadores de diferentes partes del mundo quienes realizaron investigaciones similares, basándose en la experiencia de estos, se generó un análisis de los resultados obtenidos en función de la posibilidad de presentarse una descarga instantánea de agua dentro de la subcuenca y sus respectivos tiempos de concentración y de retraso.Ingeniero(a) CivilPregradoPresencialInvestigaciónspaUniversidad Antonio NariñoIngeniería CivilFacultad de Ingeniería CivilBogotá - SurCrecidasEvaluación de riesgoMorfometríaRégimen HidrológicoSistemas de información geográficaTiempo de Concentración62448.23 A283aConcentration timeFlash FloodsGeographic Information SystemsHydrological regimeMorphometryRisk Evaluation,Análisis de riesgo de crecidas en la cuenca del río Guare, Valle de San José, SantanderTrabajo de grado (Pregrado y/o Especialización)http://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_970fb48d4fbd8a85GeneralORIGINAL2023_CesarMauricioAguilarAriza_Autorización.pdf2023_CesarMauricioAguilarAriza_Autorización.pdfapplication/pdf1190474https://repositorio.uan.edu.co/bitstreams/ac969dc1-1873-4ef9-8c63-4c4ec596f732/download0ab79fde0f91bb7c34758fa3df06c6a4MD512023_CesarMauricioAguilarAriza_Acta.pdf2023_CesarMauricioAguilarAriza_Acta.pdfapplication/pdf113416https://repositorio.uan.edu.co/bitstreams/57411a54-8308-4a68-8540-fb10f04a5792/downloadbeb26d1c2c42ed840f88abccce2e8b13MD522023_CesarMauricioAguilarAriza.pdf2023_CesarMauricioAguilarAriza.pdfapplication/pdf1899811https://repositorio.uan.edu.co/bitstreams/30815aeb-4100-43d7-a90a-7f2cde7c1af9/download6f8e1da47c2785bbb900edc416c60ccfMD532023_CesarMauricioAguilarAriza_Autorización.pdf2023_CesarMauricioAguilarAriza_Autorización.pdfapplication/pdf1412938https://repositorio.uan.edu.co/bitstreams/72790c7f-bd84-4ec8-a68b-6de1a0d95c24/download4a39e84de8e828424f438325d400b3e5MD542023_CesarMauricioAguilarAriza_Acta.pdf2023_CesarMauricioAguilarAriza_Acta.pdfapplication/pdf113416https://repositorio.uan.edu.co/bitstreams/b71ebc8b-f7eb-4280-9eee-906e28651048/downloadbeb26d1c2c42ed840f88abccce2e8b13MD55CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811https://repositorio.uan.edu.co/bitstreams/1cd23c66-e77d-43c0-871d-6bc61d5ce061/download9868ccc48a14c8d591352b6eaf7f6239MD56123456789/8383oai:repositorio.uan.edu.co:123456789/83832024-10-09 22:57:37.707https://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertorestrictedhttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co |