Bibliographic citations
Calderón, J., (2017). Modelamiento geoespacial para la identificación de zonas críticas vulnerables a peligros múltiples, cuenca hidrográfica Camaná - Majes - Colca, Arequipa [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/2873
Calderón, J., Modelamiento geoespacial para la identificación de zonas críticas vulnerables a peligros múltiples, cuenca hidrográfica Camaná - Majes - Colca, Arequipa [Tesis]. : Universidad Nacional Agraria La Molina; 2017. https://hdl.handle.net/20.500.12996/2873
@misc{renati/243182,
title = "Modelamiento geoespacial para la identificación de zonas críticas vulnerables a peligros múltiples, cuenca hidrográfica Camaná - Majes - Colca, Arequipa",
author = "Calderón Mendoza, Jonathan",
publisher = "Universidad Nacional Agraria La Molina",
year = "2017"
}
Natural hazard assessment and vulnerability analysis are part of Risk Management as a tool to take preventive measures to avoid or reduce the effects of a disaster. Currently, geospatial modeling using Geographic Information Systems (GIS) is an integral method for the identification of natural phenomena and for the spatial analysis of susceptibility to them. The historical evidence shows that the region of Arequipa has suffered heavy losses, as a result of geological, hydrological and atmospheric phenomena, so detailed studies must be developed under this approach. This study responds to this need; whose objective was to identify areas potentially susceptible to the occurrence of multiple hazards and exposed in conditions of social vulnerability; through the analysis and geospatial modeling in a GIS platform, within the scope of the Camaná-Majes-Colca Hydrographic Unit; depending on their physical and socio-economic characteristics. A geospatial database was designed and built; then the units of each variable were valued according to the level of danger and degree of vulnerability they represent, to be integrated later by assigning them coefficients; depending on the degree of incidence they have on the corresponding submodels; which in turn were integrated through a matrix analysis and weighting to generate the final model. The results show a very high overall danger level, in 18.8% of the basin, which includes the towns centers of Viscachani, Andagua, Chachas, Choco, Pampacolca, Madrigal, Lari, Huambo, Chilcaymarca, Yanque, Maca, among others, considered as critical zones and which should be prioritized when taking actions focused on Disaster Risk Management. High level, in 47.9% of the territory; Medium level is 17.0% and the Low level is 16.2%, which includes the towns center of Cicera, Villa Hermosa Pedregal, San Pedro, San Isidro del Labrador, CP located in the irrigation pampa of Majes and to the north of the district of Aplao; considered areas with low risk levels to disasters.
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