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

Betancouth Arias, Mariana; Perdomo Rios, Nini Valeria

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

dc.contributor.advisor	Álzate Buitrago, Alejandro
dc.contributor.author	Betancouth Arias, Mariana
dc.contributor.author	Perdomo Rios, Nini Valeria
dc.coverage.spatial	Pereira	spa
dc.creator.email	marianabetancourth.mb@gmail.com	spa
dc.creator.email	valeriaperdomo.vp@gmail.com	spa
dc.date.accessioned	2025-07-24T16:04:15Z
dc.date.available	2025-07-24T16:04:15Z
dc.date.created	2025-07-23
dc.description.abstract	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.	spa
dc.description.abstractenglish	This 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.	spa
dc.description.sponsorship	Universidad Libre Seccional Pereira -- Facultad de Ingeniería -- Ingeniería Civil	spa
dc.format	PDF	spa
dc.identifier.uri	https://hdl.handle.net/10901/31582
dc.relation.references	Akanbi, A. K., Kumar, S., & Fidelis, U. (2013). Application of remote sensing, GIS and GPS for efficient urban management planning. ArXiv preprint.	spa
dc.relation.references	Albrecht, F., & Stadelmann, M. (2022). Integrating economic resilience in disaster risk reduction: A systematic review. International Journal of Disaster Risk Reduction, 67, 102620.	spa
dc.relation.references	Aldrich, D. P., & Meyer, M. A. (2015). Social capital and community resilience. American Behavioral Scientist, 59(2), 254–269.	spa
dc.relation.references	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.	spa
dc.relation.references	Basher, R. (2020). Disaster risk governance and planning: State of the art and future directions. Journal of Environmental Management, 266, 110597.	spa
dc.relation.references	Birkmann, J., Welle, T., & Solecki, W. (2021). Adaptation strategies in territorial planning to reduce disaster risk. Sustainability Science, 16(3), 813–828.	spa
dc.relation.references	Cardona, O. D., Arbelaez, C., & Pulwarty, R. (2017). Economic assessment of disaster risk in Colombia. International Journal of Disaster Risk Reduction, 21, 12–24.	spa
dc.relation.references	Carraminana, D., Bernardos, A. M., Besada, J. A., & Casar, J. R. (2025). Towards resilient cities: A hybrid simulation framework. ArXiv preprint.	spa
dc.relation.references	Cretney, R. (2022). Resilience for whom? Emerging critical geographies of socio-ecological resilience. Geography Compass, 16(5), e12668.	spa
dc.relation.references	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.	spa
dc.relation.references	Fainstein, S. S. (2025). Planning in the era of disaster risk: Equity and opportunity in reconstruction. Built Environment, 11, 158604.	spa
dc.relation.references	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	spa
dc.relation.references	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.	spa
dc.relation.references	Gupta, S., Fischer, H., & Svensson, J. (2018). Economic losses from natural disasters: A review and recommendations. Disaster Prevention and Management, 27(1), 20–43.	spa
dc.relation.references	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.	spa
dc.relation.references	Huang, Z., & Rozelle, S. (2024). Urban planning, design and management approaches to building resilience. Journal of Urban Planning and Development.	spa
dc.relation.references	IPCC. (2015). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report. Cambridge Univ. Press.	spa
dc.relation.references	IRI. (2024). Why do we care about El Niño and La Niña? International Research Institute for Climate.	spa
dc.relation.references	Li, H., et al. (2023). Towards resilient cities: A hybrid simulation framework for risk mitigation. Journal of Simulation and Modelling.	spa
dc.relation.references	Llasat, M. C., et al. (2021). Urban planning for disaster risk reduction: A systematic review. International Journal of Disaster Risk Reduction.	spa
dc.relation.references	Ma, J., & Mostafavi, A. (2023). Urban form and spatial inequality of property flood risk in US counties. Science of the Total Environment.	spa
dc.relation.references	Mitchell, T. (2016). Disaster risk governance in urban contexts. Development Policy Review, 34, O794–O812.	spa
dc.relation.references	Mugambiwa, S., & Makhubele, J. (2021). Anthropogenic flash floods and climate change in rural Zimbabwe: Impacts and adaptation. Technium Social Sciences Journal.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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	spa
dc.relation.references	Ranger, N., & Surminski, S. (2013). Disasters and their economic impacts in developing countries. Disaster Risk Management Report, ODI.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	Sanyal, S., & Routray, J. K. (2016). Social capital for disaster risk reduction in Sundarbans, India. International Journal of Disaster Risk Reduction, 20, 16–27.	spa
dc.relation.references	Schipper, E., Martin, M., & Anderlini, N. (2019). The use of land use planning tools in disaster risk reduction. Land Use Policy, 87, 104061.	spa
dc.relation.references	Singh, K., Sharma, E., Baath, P. K., Kaur, K., & Singh, H. (2025). CNN-based smart disaster management framework for forest fires. International Journal of Sensors, Wireless Communications and Control.	spa
dc.relation.references	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	spa
dc.relation.references	Sudmeier-Rieux, K., Arce-Mojica, T., Boehmer, H. J., & Doswald, N. (2021). Scientific evidence for ecosystem-based disaster risk reduction. Nature Sustainability, 4, 123–131.	spa
dc.relation.references	Tan, M. C. J. (2023). Building resilience and community-based disaster risk management: Lessons from communities in the Philippines. In International Handbook of Disaster Research (pp. 845–862). Springer. https://doi.org/10.1007/978-981-19-8388-7_52	spa
dc.relation.references	Terrones, V., & Tol, R. S. J. (2022). Financial development and fiscal stability in disaster management. Economic Modelling, 109, 105739.	spa
dc.relation.references	UNDRR. (2015). Sendai Framework for Disaster Risk Reduction 2015–2030. UN Office for Disaster Risk Reduction.	spa
dc.relation.references	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.	spa
dc.relation.references	White, G. F., & Haas, J. E. (1975). Assessment of research on natural hazards. Department of Geography, MIT.	spa
dc.relation.references	Wilches, O. M., Gómez, D., & Casas, B. (2020). Fatal landslides in the Colombian Andes: Spatial patterns and implications. Landslides, 17, 79–91.	spa
dc.relation.references	Wisner, B., Blaikie, P., Cannon, T., & Davis, I. (2004). At Risk: Natural Hazards, People’s Vulnerability and Disasters (2nd ed.). Routledge.	spa
dc.relation.references	Yarnal, B., & Hansen, A. (2021). Local governance for disaster resilience: A comparative analysis. International Journal of Disaster Risk Reduction, 54, 102029.	spa
dc.relation.references	Zhang, Y., Li, H., & Burnham, M. (2022). Incorporating resilience into territorial spatial planning in China. Land Use Policy, 112, 105800.	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.coar	http://purl.org/coar/access_right/c_abf2	spa
dc.rights.license	Atribución-NoComercial-SinDerivadas 2.5 Colombia	spa
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/2.5/co/	spa
dc.subject	Análisis espacial	spa
dc.subject	Planificación territorial	spa
dc.subject	Lluvias	spa
dc.subject	Gestión del riesgo	spa
dc.subject	Fenómeno la Niña	spa
dc.subject	Emergencias climáticas	spa
dc.subject	Dosquebradas	spa
dc.subject.subjectenglish	Climatic emergencies	spa
dc.subject.subjectenglish	Urban planning	spa
dc.subject.subjectenglish	Spatial analysis	spa
dc.subject.subjectenglish	Risk management	spa
dc.subject.subjectenglish	Phenomenon La Niña	spa
dc.subject.subjectenglish	Dosquebradas	spa
dc.subject.subjectenglish	Disaster prevention	spa
dc.title	Análisis descriptivo de emergencias en Dosquebradas (2019–2022) como base para la gestión del riesgo de desastres.	spa
dc.title.alternative	Descriptive Assessment of Emergencies in Dosquebradas (2019–2022) to Support Disaster Risk Management Planning	spa
dc.type.driver	info:eu-repo/semantics/bachelorThesis	spa
dc.type.hasversion	info:eu-repo/semantics/acceptedVersion	spa
dc.type.local	Tesis de Pregrado	spa