Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, Indonesia
The Dee Investigation Simulation Program for Regulating Network (DISPRIN) model consists of eight tanks that are mutually interconnected. It contains 25 parameters involved in the process of transforming rainfall into runoff data. This complexity factor is the appeal to be explored in order to more...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2018-06-01
|
| Series: | Journal of Water and Land Development |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/jwld.2018.37.issue-1/jwld-2018-0033/jwld-2018-0033.xml?format=INT |
| _version_ | 1797759555631841280 |
|---|---|
| author | Sulianto Bisri Muhammad Limantara Lily Montarcih Sisinggih Dian |
| author_facet | Sulianto Bisri Muhammad Limantara Lily Montarcih Sisinggih Dian |
| author_sort | Sulianto |
| collection | DOAJ |
| description | The Dee Investigation Simulation Program for Regulating Network (DISPRIN) model consists of eight tanks that are mutually interconnected. It contains 25 parameters involved in the process of transforming rainfall into runoff data. This complexity factor is the appeal to be explored in order to more efficiently. Parameterization process in this research is done by using Differential Evolution (DE) algorithm while parameters sensitivity analysis is done by using Monte Carlo simulation method. Software application models of merging the two concepts are called DISPRIN25-DE model and compiled using code program M-FILE from MATLAB. Results of research on Lesti watershed at the control point Tawangrejeni automatic water level recorder (AWLR) station (319.14 km2) in East Java Indonesia indicate that the model can work effectively for transforming rainfall into runoff data series. Model performance at the calibration stage provide value of NSE = 0.871 and PME = 0.343 while in the validation stage provide value of NSE = 0.823 and PME = 0.180. Good performance in the calibration process indicates that DE algorithm is able to solve problems of global optimization of the equations system with a large number of variables. The results of the sensitivity analysis of 25 parameters showed that 3 parameters have a strong sensitivity level, 7 parameters with a medium level and 15 other parameters showed weak sensitivity level to performance of DISPRIN model. |
| first_indexed | 2024-03-12T18:46:06Z |
| format | Article |
| id | doaj.art-d2a5c58a44f544b1aef5f32f5adc6a56 |
| institution | Directory Open Access Journal |
| issn | 2083-4535 |
| language | English |
| last_indexed | 2024-03-12T18:46:06Z |
| publishDate | 2018-06-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Journal of Water and Land Development |
| spelling | doaj.art-d2a5c58a44f544b1aef5f32f5adc6a562023-08-02T07:40:12ZengPolish Academy of SciencesJournal of Water and Land Development2083-45352018-06-0137114115210.2478/jwld-2018-0033jwld-2018-0033Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, IndonesiaSulianto0Bisri Muhammad1Limantara Lily Montarcih2Sisinggih Dian3University of Muhammadiyah Malang, Department of Civil Engineering, Jl. Raya Tlogomas No 246, 65114Malang, East Java Province, IndonesiaUniversity of Brawijaya, Faculty of Engineering, Department of Water Resources, Malang, East Java Province, IndonesiaUniversity of Brawijaya, Faculty of Engineering, Department of Water Resources, Malang, East Java Province, IndonesiaUniversity of Brawijaya, Faculty of Engineering, Department of Water Resources, Malang, East Java Province, IndonesiaThe Dee Investigation Simulation Program for Regulating Network (DISPRIN) model consists of eight tanks that are mutually interconnected. It contains 25 parameters involved in the process of transforming rainfall into runoff data. This complexity factor is the appeal to be explored in order to more efficiently. Parameterization process in this research is done by using Differential Evolution (DE) algorithm while parameters sensitivity analysis is done by using Monte Carlo simulation method. Software application models of merging the two concepts are called DISPRIN25-DE model and compiled using code program M-FILE from MATLAB. Results of research on Lesti watershed at the control point Tawangrejeni automatic water level recorder (AWLR) station (319.14 km2) in East Java Indonesia indicate that the model can work effectively for transforming rainfall into runoff data series. Model performance at the calibration stage provide value of NSE = 0.871 and PME = 0.343 while in the validation stage provide value of NSE = 0.823 and PME = 0.180. Good performance in the calibration process indicates that DE algorithm is able to solve problems of global optimization of the equations system with a large number of variables. The results of the sensitivity analysis of 25 parameters showed that 3 parameters have a strong sensitivity level, 7 parameters with a medium level and 15 other parameters showed weak sensitivity level to performance of DISPRIN model.http://www.degruyter.com/view/j/jwld.2018.37.issue-1/jwld-2018-0033/jwld-2018-0033.xml?format=INTdifferential evolutionDee Investigation Simulation Program for Regulating Network (DISPRIN) modelLesti watershedsimulation |
| spellingShingle | Sulianto Bisri Muhammad Limantara Lily Montarcih Sisinggih Dian Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, Indonesia Journal of Water and Land Development differential evolution Dee Investigation Simulation Program for Regulating Network (DISPRIN) model Lesti watershed simulation |
| title | Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, Indonesia |
| title_full | Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, Indonesia |
| title_fullStr | Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, Indonesia |
| title_full_unstemmed | Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, Indonesia |
| title_short | Automatic calibration and sensitivity analysis of DISPRIN model parameters: A case study on Lesti watershed in East Java, Indonesia |
| title_sort | automatic calibration and sensitivity analysis of disprin model parameters a case study on lesti watershed in east java indonesia |
| topic | differential evolution Dee Investigation Simulation Program for Regulating Network (DISPRIN) model Lesti watershed simulation |
| url | http://www.degruyter.com/view/j/jwld.2018.37.issue-1/jwld-2018-0033/jwld-2018-0033.xml?format=INT |
| work_keys_str_mv | AT sulianto automaticcalibrationandsensitivityanalysisofdisprinmodelparametersacasestudyonlestiwatershedineastjavaindonesia AT bisrimuhammad automaticcalibrationandsensitivityanalysisofdisprinmodelparametersacasestudyonlestiwatershedineastjavaindonesia AT limantaralilymontarcih automaticcalibrationandsensitivityanalysisofdisprinmodelparametersacasestudyonlestiwatershedineastjavaindonesia AT sisinggihdian automaticcalibrationandsensitivityanalysisofdisprinmodelparametersacasestudyonlestiwatershedineastjavaindonesia |