Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm)
Model for continuous strearnflow simulation, namely Rainfall-Runoff Model PLN-PPE Release 01 has been developed by Faculty of Engineering Gadjah Mada University, through cooperation with Engineering Service Centre of National Electricity State Owned Enterprise (PLN-PPE). In order to improve efficien...
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| Format: | Article |
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[Yogyakarta] : Jur. Budidaya Pertanian Fak. Pertanian UGM
1996
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| _version_ | 1797019248521904128 |
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| author | Perpustakaan UGM, i-lib |
| author_facet | Perpustakaan UGM, i-lib |
| author_sort | Perpustakaan UGM, i-lib |
| collection | UGM |
| description | Model for continuous strearnflow simulation, namely Rainfall-Runoff Model PLN-PPE Release 01 has been developed by Faculty of Engineering Gadjah Mada University, through cooperation with Engineering Service Centre of National Electricity State Owned Enterprise (PLN-PPE). In order to improve efficiency of the use of model, particularly on calibration procedure, catchment parameter values were optimized using "Gauss-Newton" search algorithm.
� In this research, optimization was done for both of calibration and verification model, based on the data collected from upstream Serayu catchment area at central ofJava. For the preliminary research, four of ten parameters were optimized using three set of initial values. As result, the accuracy of model output which were measured by annual volume error (VE), correlation coefficient (R), and mean of relative error (RE) between computed and observed discharges could be increased. All of the optimized parameters proved be converge on the same .final optimum values.
By such approach, computation tune needed to carry out model calibration can be reduced significantly because the initial values of some calibration parameters are determined automatically |
| first_indexed | 2024-03-05T23:07:04Z |
| format | Article |
| id | oai:generic.eprints.org:25328 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-05T23:07:04Z |
| publishDate | 1996 |
| publisher | [Yogyakarta] : Jur. Budidaya Pertanian Fak. Pertanian UGM |
| record_format | dspace |
| spelling | oai:generic.eprints.org:253282014-06-18T00:38:41Z https://repository.ugm.ac.id/25328/ Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm) Perpustakaan UGM, i-lib Jurnal i-lib UGM Model for continuous strearnflow simulation, namely Rainfall-Runoff Model PLN-PPE Release 01 has been developed by Faculty of Engineering Gadjah Mada University, through cooperation with Engineering Service Centre of National Electricity State Owned Enterprise (PLN-PPE). In order to improve efficiency of the use of model, particularly on calibration procedure, catchment parameter values were optimized using "Gauss-Newton" search algorithm. � In this research, optimization was done for both of calibration and verification model, based on the data collected from upstream Serayu catchment area at central ofJava. For the preliminary research, four of ten parameters were optimized using three set of initial values. As result, the accuracy of model output which were measured by annual volume error (VE), correlation coefficient (R), and mean of relative error (RE) between computed and observed discharges could be increased. All of the optimized parameters proved be converge on the same .final optimum values. By such approach, computation tune needed to carry out model calibration can be reduced significantly because the initial values of some calibration parameters are determined automatically [Yogyakarta] : Jur. Budidaya Pertanian Fak. Pertanian UGM 1996 Article NonPeerReviewed Perpustakaan UGM, i-lib (1996) Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm). Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=8320 |
| spellingShingle | Jurnal i-lib UGM Perpustakaan UGM, i-lib Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm) |
| title | Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm) |
| title_full | Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm) |
| title_fullStr | Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm) |
| title_full_unstemmed | Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm) |
| title_short | Optimasi Parameter Kalibrasi Model Hujan Aliran Menggunakan Algoritme "Gauss-Newton" (Optimization of Rainfall-Runoff Model Calibration Parameter Using Gauss Newton Algorithm) |
| title_sort | optimasi parameter kalibrasi model hujan aliran menggunakan algoritme gauss newton optimization of rainfall runoff model calibration parameter using gauss newton algorithm |
| topic | Jurnal i-lib UGM |
| work_keys_str_mv | AT perpustakaanugmilib optimasiparameterkalibrasimodelhujanaliranmenggunakanalgoritmegaussnewtonoptimizationofrainfallrunoffmodelcalibrationparameterusinggaussnewtonalgorithm |