Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.

El presente artículo tiene como objetivo realizar un análisis descriptivo de las emergencias ocurridas en el municipio de Dosquebradas, Risaralda, durante los años 2019, 2020 y 2022, como aporte a la comprensión del riesgo territorial y al fortalecimiento de los procesos locales de gestión del riesg...

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Autores:
Betancouth Arias, Mariana
Perdomo Rios, Nini Valeria
Tipo de recurso:
Fecha de publicación:
2025
Institución:
Universidad Libre
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RIU - Repositorio Institucional UniLibre
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OAI Identifier:
oai:repository.unilibre.edu.co:10901/31582
Acceso en línea:
https://hdl.handle.net/10901/31582
Palabra clave:
Análisis espacial
Planificación territorial
Lluvias
Gestión del riesgo
Fenómeno la Niña
Emergencias climáticas
Dosquebradas
Climatic emergencies
Urban planning
Spatial analysis
Risk management
Phenomenon La Niña
Dosquebradas
Disaster prevention
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/2.5/co/
id RULIBRE2_24cdab05e0d7bbaf1f200b1dfabe0a74
oai_identifier_str oai:repository.unilibre.edu.co:10901/31582
network_acronym_str RULIBRE2
network_name_str RIU - Repositorio Institucional UniLibre
repository_id_str
dc.title.spa.fl_str_mv Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
dc.title.alternative.spa.fl_str_mv Descriptive Assessment of Emergencies in Dosquebradas (2019–2022) to Support Disaster Risk Management Planning
title Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
spellingShingle Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
Análisis espacial
Planificación territorial
Lluvias
Gestión del riesgo
Fenómeno la Niña
Emergencias climáticas
Dosquebradas
Climatic emergencies
Urban planning
Spatial analysis
Risk management
Phenomenon La Niña
Dosquebradas
Disaster prevention
title_short Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
title_full Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
title_fullStr Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
title_full_unstemmed Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
title_sort Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.
dc.creator.fl_str_mv Betancouth Arias, Mariana
Perdomo Rios, Nini Valeria
dc.contributor.advisor.none.fl_str_mv Álzate Buitrago, Alejandro
dc.contributor.author.none.fl_str_mv Betancouth Arias, Mariana
Perdomo Rios, Nini Valeria
dc.subject.spa.fl_str_mv Análisis espacial
Planificación territorial
Lluvias
Gestión del riesgo
Fenómeno la Niña
Emergencias climáticas
Dosquebradas
topic Análisis espacial
Planificación territorial
Lluvias
Gestión del riesgo
Fenómeno la Niña
Emergencias climáticas
Dosquebradas
Climatic emergencies
Urban planning
Spatial analysis
Risk management
Phenomenon La Niña
Dosquebradas
Disaster prevention
dc.subject.subjectenglish.spa.fl_str_mv Climatic emergencies
Urban planning
Spatial analysis
Risk management
Phenomenon La Niña
Dosquebradas
Disaster prevention
description El presente artículo tiene como objetivo realizar un análisis descriptivo de las emergencias ocurridas en el municipio de Dosquebradas, Risaralda, durante los años 2019, 2020 y 2022, como aporte a la comprensión del riesgo territorial y al fortalecimiento de los procesos locales de gestión del riesgo de desastres (GRD). A través de una metodología cuantitativa y no experimental, se analizaron los registros suministrados por la Dirección de Gestión del Riesgo del municipio, aplicando herramientas estadísticas y técnicas de georreferenciación mediante Google Earth Pro. Se organizaron y procesaron variables como fecha, tipo de emergencia, tipo de afectación, comuna, barrio y localización exacta, lo que permitió construir una caracterización detallada del comportamiento de los eventos en el territorio. Entre los hallazgos más relevantes se destaca que los eventos de lluvias fuertes y deslizamientos fueron los más recurrentes, representando más del 80 % del total de emergencias, con picos marcados en los meses de junio y julio, coincidiendo con la temporada invernal y la presencia del fenómeno La Niña. Asimismo, las comunas 9 y 2 fueron las más afectadas en el periodo analizado, evidenciando una alta concentración espacial del riesgo. La comparación interanual mostró un aumento considerable de emergencias en 2022, con un crecimiento del 292 % frente a 2020, lo que refuerza la influencia de factores climáticos sobre la ocurrencia de desastres. Los resultados permiten identificar patrones temporales y territoriales claves que deben ser tenidos en cuenta en los instrumentos de planificación urbana y en la priorización de intervenciones estructurales y comunitarias. Se concluye que la generación de conocimiento técnico local, a través de datos sistematizados y representaciones geográficas, es fundamental para tomar decisiones efectivas en materia de prevención, mitigación y preparación ante emergencias.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-07-24T16:04:15Z
dc.date.available.none.fl_str_mv 2025-07-24T16:04:15Z
dc.date.created.none.fl_str_mv 2025-07-23
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.local.spa.fl_str_mv Tesis de Pregrado
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10901/31582
url https://hdl.handle.net/10901/31582
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Albrecht, F., & Stadelmann, M. (2022). Integrating economic resilience in disaster risk reduction: A systematic review. International Journal of Disaster Risk Reduction, 67, 102620.
Aldrich, D. P., & Meyer, M. A. (2015). Social capital and community resilience. American Behavioral Scientist, 59(2), 254–269.
Balica, S. F., Popescu, I., & Dorobanțu, M. (2020). Urban planning for flood risk mitigation: The case of Craiova, Romania. Natural Hazards and Earth System Sciences, 20, 3035–3053.
Basher, R. (2020). Disaster risk governance and planning: State of the art and future directions. Journal of Environmental Management, 266, 110597.
Birkmann, J., Welle, T., & Solecki, W. (2021). Adaptation strategies in territorial planning to reduce disaster risk. Sustainability Science, 16(3), 813–828.
Cardona, O. D., Arbelaez, C., & Pulwarty, R. (2017). Economic assessment of disaster risk in Colombia. International Journal of Disaster Risk Reduction, 21, 12–24.
Carraminana, D., Bernardos, A. M., Besada, J. A., & Casar, J. R. (2025). Towards resilient cities: A hybrid simulation framework. ArXiv preprint.
Cretney, R. (2022). Resilience for whom? Emerging critical geographies of socio-ecological resilience. Geography Compass, 16(5), e12668.
Cutter, S. L., Burton, C. G., & Emrich, C. T. (2018). Social vulnerability to natural hazards: Review of definitions and mapping methods. Annals of the American Association of Geographers, 109(3), 791–805.
Fainstein, S. S. (2025). Planning in the era of disaster risk: Equity and opportunity in reconstruction. Built Environment, 11, 158604.
Gallo Álvarez, A. G., & Sánchez Dávila, D. K. (2021). Gestión de riesgos de desastres y cambio climático en la provincia de Alto Amazonas. Ciencia Latina Revista Científica Multidisciplinar, 5(5), 6686-6724. https://doi.org/10.37811/cl_rcm.v5i5.791
Gómez, D., García-Aristizábal, E., & Aristizábal, E. (2021). Spatial and temporal patterns of fatal landslides in Colombia. 13th Landslides and Engineered Slopes. Experience, Theory and Practice, ISL.
Gupta, S., Fischer, H., & Svensson, J. (2018). Economic losses from natural disasters: A review and recommendations. Disaster Prevention and Management, 27(1), 20–43.
Hallegatte, S., Fay, M., & Barbier, E. B. (2017). Building back better: Achieving resilience through stronger, faster, more inclusive reconstruction. Global Facility for Disaster Reduction and Recovery.
Huang, Z., & Rozelle, S. (2024). Urban planning, design and management approaches to building resilience. Journal of Urban Planning and Development.
IPCC. (2015). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report. Cambridge Univ. Press.
IRI. (2024). Why do we care about El Niño and La Niña? International Research Institute for Climate.
Li, H., et al. (2023). Towards resilient cities: A hybrid simulation framework for risk mitigation. Journal of Simulation and Modelling.
Llasat, M. C., et al. (2021). Urban planning for disaster risk reduction: A systematic review. International Journal of Disaster Risk Reduction.
Ma, J., & Mostafavi, A. (2023). Urban form and spatial inequality of property flood risk in US counties. Science of the Total Environment.
Mitchell, T. (2016). Disaster risk governance in urban contexts. Development Policy Review, 34, O794–O812.
Mugambiwa, S., & Makhubele, J. (2021). Anthropogenic flash floods and climate change in rural Zimbabwe: Impacts and adaptation. Technium Social Sciences Journal.
Mugambiwa, S., & Munsaka, E. (2021). When disaster risk management systems fail: The case of Cyclone Idai. International Journal of Disaster Risk Science, 12, 445–453.
Nirupama, N. (2013). Disaster risk management. In Encyclopedia of Earth Sciences Series (pp. 164–169). Springer. https://doi.org/10.1007/978-1-4020-4399-4_300.
Pelling, M., & Dill, K. (2016). Disaster politics: Tipping points for change in the adaptation of urban governance. Progress in Human Geography, 40(4), 489–506.
Poledna, S., Hochrainer-Stigler, S., Miess, M. G., & Sorger, J. (2018). When does a disaster become a systemic event? Journal of Economic Dynamics & Control, 94, 84–109.
Rajabi, E., Bazyar, J., Delshad, V., & Khankeh, H. R. (2022). The evolution of disaster risk management: Historical approach. Disaster Medicine and Public Health Preparedness, 16(4), 1623–1627. https://doi.org/10.1017/dmp.2021.194
Ranger, N., & Surminski, S. (2013). Disasters and their economic impacts in developing countries. Disaster Risk Management Report, ODI.
Rezvani, S. M., Falcão, M. J., Komljenovic, D., & de Almeida, N. M. (2023). A systematic literature review on urban resilience enabled with asset and disaster risk management approaches and GIS-based decision support tools. Applied Sciences, 13(4), 2223.
Roslan, A. F., Fernando, T., Biscaya, S., & Sulaiman, N. (2021). Transformation towards risksensitive urban development: A systematic review of the issues and challenges. Sustainability, 13(19), 10631.
Sandoval, V., Voss, M., Flörchinger, V., & Lorenz, S. (2023). Integrated disaster risk management: Elements to advance its study. International Journal of Disaster Risk Science, 14, 343–356.
Sanyal, S., & Routray, J. K. (2016). Social capital for disaster risk reduction in Sundarbans, India. International Journal of Disaster Risk Reduction, 20, 16–27.
Schipper, E., Martin, M., & Anderlini, N. (2019). The use of land use planning tools in disaster risk reduction. Land Use Policy, 87, 104061.
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Singh, K., Sharma, E., Baath, P. K., Kaur, K., & Singh, H. (2025). Convolutional Neural Network-based Smart Disaster Management Framework for Real-time Detection and Management of Forest Fires. International Journal of Sensors, Wireless Communications and Control. https://doi.org/10.2174/0122103279339983241028073645
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Terrones, V., & Tol, R. S. J. (2022). Financial development and fiscal stability in disaster management. Economic Modelling, 109, 105739.
UNDRR. (2015). Sendai Framework for Disaster Risk Reduction 2015–2030. UN Office for Disaster Risk Reduction.
Vargas, G., Hernández, Y., & Pabón, J. D. (2018). La Niña event 2010–2011: Hydroclimatic effects and socioeconomic impacts in Colombia. In S. Mal, R. Singh, & C. Huggel (Eds.), Climate Change, Extreme Events and Disaster Risk Reduction (SDGS) (pp. 217–232). Springer.
White, G. F., & Haas, J. E. (1975). Assessment of research on natural hazards. Department of Geography, MIT.
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Zhang, Y., Li, H., & Burnham, M. (2022). Incorporating resilience into territorial spatial planning in China. Land Use Policy, 112, 105800.
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spelling Álzate Buitrago, AlejandroBetancouth Arias, MarianaPerdomo Rios, Nini ValeriaPereira2025-07-24T16:04:15Z2025-07-24T16:04:15Z2025-07-23https://hdl.handle.net/10901/31582El presente artículo tiene como objetivo realizar un análisis descriptivo de las emergencias ocurridas en el municipio de Dosquebradas, Risaralda, durante los años 2019, 2020 y 2022, como aporte a la comprensión del riesgo territorial y al fortalecimiento de los procesos locales de gestión del riesgo de desastres (GRD). A través de una metodología cuantitativa y no experimental, se analizaron los registros suministrados por la Dirección de Gestión del Riesgo del municipio, aplicando herramientas estadísticas y técnicas de georreferenciación mediante Google Earth Pro. Se organizaron y procesaron variables como fecha, tipo de emergencia, tipo de afectación, comuna, barrio y localización exacta, lo que permitió construir una caracterización detallada del comportamiento de los eventos en el territorio. Entre los hallazgos más relevantes se destaca que los eventos de lluvias fuertes y deslizamientos fueron los más recurrentes, representando más del 80 % del total de emergencias, con picos marcados en los meses de junio y julio, coincidiendo con la temporada invernal y la presencia del fenómeno La Niña. Asimismo, las comunas 9 y 2 fueron las más afectadas en el periodo analizado, evidenciando una alta concentración espacial del riesgo. La comparación interanual mostró un aumento considerable de emergencias en 2022, con un crecimiento del 292 % frente a 2020, lo que refuerza la influencia de factores climáticos sobre la ocurrencia de desastres. Los resultados permiten identificar patrones temporales y territoriales claves que deben ser tenidos en cuenta en los instrumentos de planificación urbana y en la priorización de intervenciones estructurales y comunitarias. Se concluye que la generación de conocimiento técnico local, a través de datos sistematizados y representaciones geográficas, es fundamental para tomar decisiones efectivas en materia de prevención, mitigación y preparación ante emergencias.Universidad Libre Seccional Pereira -- Facultad de Ingeniería -- Ingeniería CivilThis article aims to conduct a descriptive analysis of the emergencies that occurred in the municipality of Dosquebradas, Risaralda, during the years 2019, 2020, and 2022, as a contribution to the understanding of territorial risk and the strengthening of local disaster risk management (DRM) processes. Using a quantitative and non-experimental methodology, official records provided by the Municipal Risk Management Office were analyzed through statistical tools and georeferencing techniques using Google Earth Pro. Variables such as date, type of emergency, type of impact, commune, neighborhood, and exact location were organized and processed, allowing for a detailed characterization of event behavior across the territory. Among the most relevant findings, heavy rainfall and landslides were identified as the most frequent events, accounting for over 80% of all emergencies, with critical peaks in the months of June and July, coinciding with the rainy season and the presence of the La Niña phenomenon. Likewise, communes 9 and 2 were the most affected during the study period, showing a high spatial concentration of risk. A considerable increase in emergencies was observed in 2022, with a 292% rise compared to 2020, further highlighting the influence of climatic factors on the occurrence of disasters. The results identify key temporal and territorial patterns that should be considered in urban planning instruments and in the prioritization of structural and community-level interventions. The study concludes that the generation of local technical knowledge through systematized data and geospatial representations is essential for effective decision-making in prevention, mitigation, and preparedness for emergencies.PDFhttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadas 2.5 Colombiainfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Análisis espacialPlanificación territorialLluviasGestión del riesgoFenómeno la NiñaEmergencias climáticasDosquebradasClimatic emergenciesUrban planningSpatial analysisRisk managementPhenomenon La NiñaDosquebradasDisaster preventionAnálisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.Descriptive Assessment of Emergencies in Dosquebradas (2019–2022) to Support Disaster Risk Management PlanningTesis de Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fAkanbi, A. K., Kumar, S., & Fidelis, U. (2013). Application of remote sensing, GIS and GPS for efficient urban management planning. ArXiv preprint.Albrecht, F., & Stadelmann, M. (2022). Integrating economic resilience in disaster risk reduction: A systematic review. International Journal of Disaster Risk Reduction, 67, 102620.Aldrich, D. P., & Meyer, M. A. (2015). Social capital and community resilience. American Behavioral Scientist, 59(2), 254–269.Balica, S. F., Popescu, I., & Dorobanțu, M. (2020). Urban planning for flood risk mitigation: The case of Craiova, Romania. Natural Hazards and Earth System Sciences, 20, 3035–3053.Basher, R. (2020). Disaster risk governance and planning: State of the art and future directions. Journal of Environmental Management, 266, 110597.Birkmann, J., Welle, T., & Solecki, W. (2021). Adaptation strategies in territorial planning to reduce disaster risk. Sustainability Science, 16(3), 813–828.Cardona, O. D., Arbelaez, C., & Pulwarty, R. (2017). Economic assessment of disaster risk in Colombia. International Journal of Disaster Risk Reduction, 21, 12–24.Carraminana, D., Bernardos, A. M., Besada, J. A., & Casar, J. R. (2025). Towards resilient cities: A hybrid simulation framework. ArXiv preprint.Cretney, R. (2022). Resilience for whom? Emerging critical geographies of socio-ecological resilience. Geography Compass, 16(5), e12668.Cutter, S. L., Burton, C. G., & Emrich, C. T. (2018). Social vulnerability to natural hazards: Review of definitions and mapping methods. Annals of the American Association of Geographers, 109(3), 791–805.Fainstein, S. S. (2025). Planning in the era of disaster risk: Equity and opportunity in reconstruction. Built Environment, 11, 158604.Gallo Álvarez, A. G., & Sánchez Dávila, D. K. (2021). Gestión de riesgos de desastres y cambio climático en la provincia de Alto Amazonas. Ciencia Latina Revista Científica Multidisciplinar, 5(5), 6686-6724. https://doi.org/10.37811/cl_rcm.v5i5.791Gómez, D., García-Aristizábal, E., & Aristizábal, E. (2021). Spatial and temporal patterns of fatal landslides in Colombia. 13th Landslides and Engineered Slopes. Experience, Theory and Practice, ISL.Gupta, S., Fischer, H., & Svensson, J. (2018). Economic losses from natural disasters: A review and recommendations. Disaster Prevention and Management, 27(1), 20–43.Hallegatte, S., Fay, M., & Barbier, E. B. (2017). Building back better: Achieving resilience through stronger, faster, more inclusive reconstruction. Global Facility for Disaster Reduction and Recovery.Huang, Z., & Rozelle, S. (2024). Urban planning, design and management approaches to building resilience. Journal of Urban Planning and Development.IPCC. (2015). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report. Cambridge Univ. Press.IRI. (2024). Why do we care about El Niño and La Niña? International Research Institute for Climate.Li, H., et al. (2023). Towards resilient cities: A hybrid simulation framework for risk mitigation. Journal of Simulation and Modelling.Llasat, M. C., et al. (2021). Urban planning for disaster risk reduction: A systematic review. International Journal of Disaster Risk Reduction.Ma, J., & Mostafavi, A. (2023). Urban form and spatial inequality of property flood risk in US counties. Science of the Total Environment.Mitchell, T. (2016). Disaster risk governance in urban contexts. Development Policy Review, 34, O794–O812.Mugambiwa, S., & Makhubele, J. (2021). Anthropogenic flash floods and climate change in rural Zimbabwe: Impacts and adaptation. Technium Social Sciences Journal.Mugambiwa, S., & Munsaka, E. (2021). When disaster risk management systems fail: The case of Cyclone Idai. International Journal of Disaster Risk Science, 12, 445–453.Nirupama, N. (2013). Disaster risk management. In Encyclopedia of Earth Sciences Series (pp. 164–169). Springer. https://doi.org/10.1007/978-1-4020-4399-4_300.Pelling, M., & Dill, K. (2016). Disaster politics: Tipping points for change in the adaptation of urban governance. Progress in Human Geography, 40(4), 489–506.Poledna, S., Hochrainer-Stigler, S., Miess, M. G., & Sorger, J. (2018). When does a disaster become a systemic event? Journal of Economic Dynamics & Control, 94, 84–109.Rajabi, E., Bazyar, J., Delshad, V., & Khankeh, H. R. (2022). The evolution of disaster risk management: Historical approach. Disaster Medicine and Public Health Preparedness, 16(4), 1623–1627. https://doi.org/10.1017/dmp.2021.194Ranger, N., & Surminski, S. (2013). Disasters and their economic impacts in developing countries. Disaster Risk Management Report, ODI.Rezvani, S. M., Falcão, M. J., Komljenovic, D., & de Almeida, N. M. (2023). A systematic literature review on urban resilience enabled with asset and disaster risk management approaches and GIS-based decision support tools. Applied Sciences, 13(4), 2223.Roslan, A. F., Fernando, T., Biscaya, S., & Sulaiman, N. (2021). Transformation towards risksensitive urban development: A systematic review of the issues and challenges. Sustainability, 13(19), 10631.Sandoval, V., Voss, M., Flörchinger, V., & Lorenz, S. (2023). Integrated disaster risk management: Elements to advance its study. International Journal of Disaster Risk Science, 14, 343–356.Sanyal, S., & Routray, J. K. (2016). Social capital for disaster risk reduction in Sundarbans, India. International Journal of Disaster Risk Reduction, 20, 16–27.Schipper, E., Martin, M., & Anderlini, N. (2019). The use of land use planning tools in disaster risk reduction. Land Use Policy, 87, 104061.Singh, K., Sharma, E., Baath, P. K., Kaur, K., & Singh, H. (2025). 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