Reservoir Inflow Prediction under GCM Scenario Downscaled by Wavelet Transform and Support Vector Machine Hybrid Models
Joint Authors
Halik, Gusfan
Anwar, Nadjadji
Santosa, Budi
Edijatno, Budi
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Climate change has significant impacts on changing precipitation patterns causing the variation of the reservoir inflow.
Nowadays, Indonesian hydrologist performs reservoir inflow prediction according to the technical guideline of Pd-T-25-2004-A.
This technical guideline does not consider the climate variables directly, resulting in significant deviation to the observation results.
This research intends to predict the reservoir inflow using the statistical downscaling (SD) of General Circulation Model (GCM) outputs.
The GCM outputs are obtained from the National Center for Environmental Prediction/National Center for Atmospheric Research Reanalysis (NCEP/NCAR Reanalysis).
A new proposed hybrid SD model named Wavelet Support Vector Machine (WSVM) was utilized.
It is a combination of the Multiscale Principal Components Analysis (MSPCA) and nonlinear Support Vector Machine regression.
The model was validated at Sutami Reservoir, Indonesia.
Training and testing were carried out using data of 1991–2008 and 2008–2012, respectively.
The results showed that MSPCA produced better extracting data than PCA.
The WSVM generated better reservoir inflow prediction than the one of technical guideline.
Moreover, this research also applied WSVM for future reservoir inflow prediction based on GCM ECHAM5 and scenario SRES A1B.
American Psychological Association (APA)
Halik, Gusfan& Anwar, Nadjadji& Santosa, Budi& Edijatno, Budi. 2015. Reservoir Inflow Prediction under GCM Scenario Downscaled by Wavelet Transform and Support Vector Machine Hybrid Models. Advances in Civil Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1052203
Modern Language Association (MLA)
Halik, Gusfan…[et al.]. Reservoir Inflow Prediction under GCM Scenario Downscaled by Wavelet Transform and Support Vector Machine Hybrid Models. Advances in Civil Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1052203
American Medical Association (AMA)
Halik, Gusfan& Anwar, Nadjadji& Santosa, Budi& Edijatno, Budi. Reservoir Inflow Prediction under GCM Scenario Downscaled by Wavelet Transform and Support Vector Machine Hybrid Models. Advances in Civil Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1052203
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052203