1. Modelado de precipitaciones para evaluación del detonante lluvia en los movimientos en masa en el municipio de Santa María, Boyacá, periodo 2010-2019.
- Author
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Moreno Arroyave, Michael Esteban and Cárdenas Quiroga, Elsa Adriana
- Subjects
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RAINFALL , *PRECIPITATION (Chemistry) , *HYDROLOGIC models , *SOFTWARE development tools , *QUANTITATIVE research , *LANDSLIDES - Abstract
Introduction-- In Colombia, periods of intense rainfall are frequently associated with landslides. Since these processes are one of the phenomena that cause the most economic losses worldwide, it is necessary to study and model rainfall to establish its relationship with instability, using GIS tools and specialized software for this purpose. Objective-- Model the precipitation corresponding to the period from 2010 to 2019, for the municipality of Santa María in the department of Boyacá, in order to determine the effect of rainfall as a trigger of the mass movements presented during that time. The object of the study focused on the generation of the hydrological model of rainfall between the years 2010-2019, for the municipality of Santa María, to determine the effect of rain as a trigger for the mass movements presented during that time. Methodology-- Rainfall can facilitate the displacement of material, either by reducing resistance or increasing pore pressure. This paper presents a rainfall model developed from GIS tools, a quantitative multitemporal analysis and a probabilistic distribution method of the precipitation triggering factor, to determine periods of exceedance and non-exceedance of the rainfall threshold. Results-- From the rainfall models for the period 2010-2019 and their correlation with the mass movement inventory, the relationship between the rainfall trigger and landslides could be evidenced. Conclusions-- It is evident within the study area the incidence of precipitation and climatic factors in the increased possibility of occurrence of landslides. The model generated can be an input for the generation of the hazard map and municipal risk management. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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