Abstract
The existence of the translation effect component on the application of the original Dee Investigation Simulation Program for Regulating Network (DISPRIN) model would be counter-productive when applied to rainfall-runoff analysis on small watersheds that have the level of sharp fluctuations that commonly occur in tropical islands. Modifying the original DISPRIN model by ignoring the components proved to mask existing weaknesses. This article tries to compare the performance of the original DISPRIN model and the modified DISPRIN model in the case of the transformation of rainfall data series into discharge data series on a daily period. The calibration process of the parameters of both models uses the evolution differential algorithm (DE). The case study is Lesti watershed at the control point of AWLR Tawangrejeni station (319.14 km2) located in East Java, Indonesia. The test model uses 10-year daily data sets, from January 1, 2007, to December 31, 2016. Data series from 2007 to 2013 as a training data set used for the process of model calibration and model validation, data series from 2014 to 2016 as a test data set for model verification. The results show that the modified DISPRIN model is more effective than the original DISPRIN model in terms of accuracy and iteration time in achieving convergent conditions. The original DISPRIN model was able to respond to fluctuations in a seasonal flow, but was unable to respond to the sharp fluctuations in daily flows. The modified DISPRIN model can fix that vulnerability and can generate an NSE > 0.8 value in the validation and verification phase.
Highlights
The fundamental weakness of the application of the lumped model in conceptual hydrological lies in the large number of parameters that must be calibrated simultaneously before the model can be applied
Several new models of combined lumped models and metaheuristic methods have been developed, including the differential evolution (DE) algorithm and particle swam optimisation (PSO) algorithm combined with HBV model and GRJ4 model (Piotrowski et al,. 2016), genetic algorithm (GA) with NAM model and Tank model (Ngoc et al, 2012), GA with HBV modified model (Saibert, 2000), CTSM algorithm with HBV model and NAM model (Jonsdottir et al, 2005), GA with HBV modified model (Saibert, 2000), shuffle complex evolution (SCE) algorithm with AFFDEF model (Darikandeh, 2014), dynamically dimensioned search (DDS) algorithm and SCE algorithm with SWAT 2000 model (Tolson and Shoemaker, 2007), Xin’anjiang model with SCE algorithms (Bao et al, 2008), as well as GA and GA hybrid (Wang et al, 2012)
The results of the analysis using the application of the DISPRIN25-DE model and the DISPRIN23-DE model generated the relevant ubj_H value of 800 mm
Summary
The fundamental weakness of the application of the lumped model in conceptual hydrological lies in the large number of parameters that must be calibrated simultaneously before the model can be applied. The Tank model of 8 tank system (32 parameters) combined with the DDS algorithm and GA can perform well in predicting groundwater fluctuations in Yamagata, Japan. In this case, the two developed models can show nearly the same error rate, but the DDS algorithm-based optimisation method is more effective in speed of reaching convergent conditions (Huang and Xiong, 2010)
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