Comparación de Métodos de Interpolación para la Estimación de Temperatura del Reservorio CEASA
Comparison of Interpolation Methods for the Estimation of Temperature of Ceasa Reservoir
DOI:
https://doi.org/10.33936/rev_bas_de_la_ciencia.v3i1.1108Palabras clave:
Interpolación; Temperatura; Surfer 8.0; EMC.Resumen
La interpolación de temperatura en cuerpos de agua permite realizar predicciones de puntos de muestreo que no presentan datos. En la presente investigación se evaluaron 12 métodos de interpolación para estimar la temperatura del reservorio del Centro de Experimentación Académica Salache (CEASA) de la Universidad Técnica de Cotopaxi. Los datos recolectados en campo fueron interpolados aleatoriamente y comparados con los reales en base al error medio (EM), error absoluto medio (MAE), error medio cuadrático (MSE), raíz del error cuadrático (RMSE) y coeficiente de determinación (R2). La interpolación más apropiada para la representación de la variable temperatura en el reservorio fue el del método del Polinomio Local con un MSE de 0,22 y RMSE de 0,47 y R2 de 0,53. Este método se puede utilizar para obtener datos de temperatura del reservorio, disminuyendo costos de tiempo y dinero que demandaría el levantamiento de información en campo.
Palabras clave: Interpolación, Temperatura, Polinomio Local, Reservorio CEASA.
ABSTRACT
The interpolation of temperature in bodies of water allows making predictions of sampling points that do not present data. In the present investigation, 12 interpolation methods were evaluated to estimate the reservoir temperature of the Salache Academic Experimentation Center (CEASA) at the Technical University of Cotopaxi. The data collected in the field were randomly interpolated and compared with the real ones based on the mean error (MS), mean absolute error (MAE), mean square error (MSE), the root of the quadratic error (RMSE) and coefficient of determination (R2). The most appropriate interpolation for the representation of the variable temperature in the reservoir was the Local Polynomial method with an MSE of 0.22 and RMSE of 0.47 and R2 of 0.53. This method can be used to obtain reservoir temperature data, decreasing the time and money costs that gathering information would require in the field require.
Key words: Interpolation, Temperature, Local Polynomial, CEASA Reservoir.
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