Volumen 5 No. especial (2014) - IC: Congreso de Ingeniería Civil

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Browsing Volumen 5 No. especial (2014) - IC: Congreso de Ingeniería Civil by Subject "Cuenca Del Paute"

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    Identificación de infraestructuras viales y educativas de la cuenca del Paute en riesgo mediante técnicas de análisis espacial
    (Universidad de Cuenca, 2014) Villavicencio, David; Vásquez, Rocío; Muñoz, Daniel; Acosta, Enrique; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
    Among the socio-economic development plans of a country, the civil works such as roads and education centers are a priority. Depending on geographic location, different types of natural phenomena can endanger these human elements. Therefore, the aim of this work is to identify education centers and roads exposed to two types of risk: flash floods and slope movements. To reach this goal, techniques of vector spatial analysis in a Geographic Information System have been applied. The results show that 14.6% of education centers are at risk of flooding, and 6.7% at risk of slope movements. Regarding the roads, the study found that 42.9 kilometers of track are at risk of flooding, and 19.9 kilometers at risk of slope movements.
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    Predicción de caudales en la cabecera de la cuenca del Paute mediante el modelo DBM
    (Universidad de Cuenca, 2014) Quichimbo, A.; Vázquez, R. F.; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
    The Data-Based Mechanistic (DBM) model was used in conjunction with the Kalman filter (as a data assimilation technique), to predict the discharge from a sub-catchment located in the upper part of the Paute basin. The results showed that this conjunctive use of the DBM model and the Kalman filter produced better predictions of the discharge in the study site, as compared to the solely use of the DBM model; indeed, the use of the Kalman filter provided an estimate of the uncertainty associated to the use of the DBM model for forecasting purposes. These results not only motivate the future use of data mining techniques for discharge forecasting, but also encourage the use of the current tool for both, prediction as well as forecasting extreme events on Andean catchments.