CD Skripsi
Perbandingan Analisis Parameter Model Mock Dan Gr2m (Global Rainfal-Runoff Model) Dalam Prediksi Aliran Rendah (Studi Kasus: Daerah Aliran Sungai Rokan, Awlr Pasir Pangaraian)
ABSTRACT
The Mock model is a rain flow model that is often used to analyze river
basin system in predicting the hydrological response of an input of rain events.
The GR2M model is a conceptual method based on the concept of water balance.
The Mock and GR2M model must be tested for calibration and verification to
obtain the best variation of model parameters and the results of the simulation
discharge according to the pattern of field drain data. Tests on the fake Mock model
are performed with 7 parameters and GR2M model are performed with 2
parameters and analysis based on various evaluation criteria for model performance.
The criteria for evaluating the performance of the model used are the correlation
coefficient (R) and efficiency coefficient of Nash-Sutcliffe. The Mock model has
the best model accuracy in this comparison with the model accuracy with the
correlation coefficient (R) reaching 0,999, but the calculation is quite complicated
because of the many parameters used. The GR2M model has a fairly good model
accuracy, with the accuracy of the model with the correlation coefficient (R)
reaching 0,803 and in the calculation is easier than the Mock model because it onlu
uses 2 parameters.
Keywords : Mock model, GR2M, calibration, verification, model performance
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