Bibliographic citations
Quines, D., Candiotti, J. (2023). Estimación de los caudales de filtración aplicando la herramienta Seepage, caso: Derrumbe I — Huancavelica — Perú [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/670649
Quines, D., Candiotti, J. Estimación de los caudales de filtración aplicando la herramienta Seepage, caso: Derrumbe I — Huancavelica — Perú [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/670649
@misc{sunedu/3568728,
title = "Estimación de los caudales de filtración aplicando la herramienta Seepage, caso: Derrumbe I — Huancavelica — Perú",
author = "Candiotti Choquelahua, Juan Carlos",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
In recent decades, with the increase in climatic phenomena caused by global warming, the estimation of the flows produced by precipitation and its interaction with geological masses is of utmost importance. In that sense, through formulas, numerical modeling, data collection or physical records and statistical analysis, a hydraulic conductivity estimation model is achieved. To achieve a conceptual flow estimate, a compilation of information obtained from gauging and geotechnical studies that make up Landslide 1 was carried out. For the numerical model, the GeoStudio Seepage tool was used, which is based on finite element theory to simulate and analyze underground water flow and pore pressures. In addition, Seepage allowed determining mathematical functions for partially saturated and unsaturated soils. For our investigation, the numerical approximation of the hydrogeological model was determined by defining initial boundary conditions, strata permeability and hydraulic conductivity. This model with this first approximation has allowed us, based on the conductivities that are in the order of 8.64 to 1 x 10^(-7) m/day in the different strata, to estimate a filtration flow that is in the order of 1.22 x 10^(-8) at 9,539 l/s, which circulates in the first strata. Finally, for comparison, a normalized error in the observed data of less than 4% could be obtained with respect to the numerically calculated RMSE; demonstrating a reasonable fit to the data.
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