Damage Assessment and Hurricane Mitigation Proposal in the Plan de Ayala and 10 de Abril Neighborhoods, Chilpancingo, Guerrero
Keywords:
hurricane John, landslides, disaster risk reduction, community resilience, vulnerability, ChilpancingoAbstract
Extraordinary rainfall associated with Hurricane John, which occurred in September 2024, triggered landslides and caused significant damage to homes located on steep slopes in the city of Chilpancingo de los Bravo, Guerrero, particularly in the neighborhoods of Plan de Ayala Parte Baja and 10 de Abril. The objective of this study was to develop a response and action model for populations living in vulnerable areas that can be replicated in similar contexts to reduce risk and strengthen community resilience to extreme hydrometeorological events. This research was conducted as a qualitative-descriptive case study using field surveys, georeferencing of damaged houses, interviews with neighborhood leaders and residents, and visual assessments of the structural conditions of affected buildings. In addition, damage location maps were developed using Geographic Information Systems (GIS), allowing the identification of areas with the highest levels of exposure. The results revealed that the main causes of the damage were associated with the occupation of unstable slopes, deforestation, inadequate drainage infrastructure, and the presence of self-built housing constructed with low-resistance materials. A total of 166 affected houses were identified, of which 119 were located in the Plan de Ayala Parte Baja neighborhood and 47 in the 10 de Abril neighborhood. Based on the findings, an intervention model is proposed that includes mitigation measures, community training programs, early warning systems, hazard exposure mapping, neighborhood organization, evacuation route planning, and family emergency response protocols. These strategies contribute to strengthening community resilience and constitute a replicable tool for disaster risk reduction in urban settlements with similar characteristics.
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References
Bravo, L. C., Peláez, P. B., & Ayala, V. J. (Septiembre de 2024). Comisión Nacional del Agua (CONAGUA). Obtenido de Huracán John 22 al 27 de septiembre de 2024: https://smn.conagua.gob.mx/tools/DATA/Ciclones%20Tropicales/Ciclones/2024-John.pdf
Centro Nacional de Prevención de Desastres (CENAPRED). (11 de Mayo de 2017). Gobierno de México. Obtenido de Diferencia entre un ciclón tropical y un huracán: https://www.gob.mx/cenapred/articulos/diferencia-entre-un-ciclon-tropical-y-un-huracan
Centro Nacional de Prevención de Desastres (CENAPRED). (2021). Fenómenos geológicos: deslizamientos de laderas. Obtenido de Gobierno de México: https://www.gob.mx/cenapred
Food and Agriculture Organization of the United Nations. (2021). Subregional Central America: Hurricanes Eta and Iota – Impact assessment in agriculture and food security. Obtenido de FAO: https://openknowledge.fao.org/items/5fd83639-66c0-4117-81fe-b2ae38b693fa
Guzmán, N. G., & Rodríguez, E. J. (Junio de 2016). Scielo. Obtenido de Elementos de la vulnerabilidad ante huracanes. Impacto del huracán Isidoro en Chabihau, Yobain, Yucatán: https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-77422016000100183
Instituto Nacional de Estadística y Geografía. (2023). Cuéntame de México: Guerrero. (Geografía de Guerrero) Recuperado el 04 de Marzo de 2025, de INEGI: https://cuentame.inegi.org.mx/monografias/informacion/gro/
Intergovernmental Panel on Climate Change (IPCC). (20 de marzo de 2023). Climate Change 2023: Synthesis Report. Obtenido de IPCC: https://www.ipcc.ch/report/ar6/syr/
Mendoza, M., López, J., Domínguez, L., Morales, E., Noriega, F., & Rioja, R. &. (Diciembre de 2002). Monitoreo de laderas con fines de evaluación y alertamiento (Informe técnico). Obtenido de Centro Nacional de Prevención de Desastres (CENAPRED), Secretaría de Gobernación.: http://www.proteccioncivil.gob.mx/work/models/ProteccionCivil/Resource/363/1/images/mlfea.pdf
Meneses, V. G. (2019). Expansión urbana y cambio climático . En V. G. Meneses, Cambio climático y gobernanza. Una visión transdisciplinaria (págs. 387-401). México: Biblioteca Jurídica Virtual del Instituto de Investigaciones Jurídicas de la UNAM.
Quezada-Roman, A. (2023). Priorities for natural disaster risk reduction in Central America. PLOS Climate, 2(9), e0000168. doi:10.1371/journal.pclm.0000168
Sistema Meteorológico Nacional (SMN). (septiembre de 2024). Resumen mensual de temperaturas y lluvias. Obtenido de Comisión Nacional del Agua: https://smn.conagua.gob.mx/es/climatologia/temperaturas-y-lluvias/resumenes-mensuales-de-temperaturas-y-lluvias
Smith, H., Garcia Ferrari, S., Medero, G. M., Rivera, H., Coupé, F., Mejía Escalante, M. E., . . . Marinho, F. A. (2022). Exploring appropriate socio-technical arrangements for the co-production of landslide risk management strategies in informal neighbourhoods in Colombia and Brazil. International Journal of Urban Sustainable Development, 14(1), 242–263. doi:10.1080/19463138.2021.1872082
Stevenson, M., & Verza, M. (25 de octubre de 2023). El huracán Otis provoca inundaciones masivas en Acapulco y desencadena deslizamientos de tierra antes de disiparse. AP News. Obtenido de https://apnews.com/article/hurricane-otis-mexico-acapulco-8daa7fcfa6d538ae2ca672fe54a31519
United Nations Office for Disaster Risk Reduction (UNDRR). (2015). Sendai Framework for Disaster Risk Reduction 2015–2030. Obtenido de United Nations: https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030
United Nations Office for Disaster Risk Reduction (UNDRR). (2022). Global Assessment Report on Disaster Risk Reduction 2022: Our World at Risk. Obtenido de United Nations: https://www.undrr.org/gar2022
United Nations Office for Disaster Risk Reduction. (2023). Special report on urbanization and disaster risk in Latin America and the Caribbean. Obtenido de UNDRR: https://www.undrr.org/publication/special-report-urbanization-and-disaster-risk-latin-america-and-caribbean
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Data Availability Statement
The data generated and analyzed during the present study are not publicly available due to confidentiality considerations and the need to protect the information of the participants and the assessed households.
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