Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia

This study investigates the ability of wavelet group method of data handling (WGMDH) conjunction model in the estimation of flood quantiles in ungauged sites in Peninsular Malaysia. The conjunction method was obtained by combining two methods, discrete wavelet transform and group method of data hand...

Full description

Saved in:
Bibliographic Details
Main Authors: Badyalina, Basri, Shabri, Ani, Samsudin, Ruhaidah
Format: Article
Published: Hikari Ltd. 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/62671/
http://dx.doi.org/10.12988/ijma.2014.4251
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.62671
record_format eprints
spelling my.utm.626712017-06-01T03:05:13Z http://eprints.utm.my/id/eprint/62671/ Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia Badyalina, Basri Shabri, Ani Samsudin, Ruhaidah Q Science This study investigates the ability of wavelet group method of data handling (WGMDH) conjunction model in the estimation of flood quantiles in ungauged sites in Peninsular Malaysia. The conjunction method was obtained by combining two methods, discrete wavelet transform and group method of data handling . Comparison between the WGMDH model, group method of data handling model (GMDH), wavelet regression (WR) model and linear regression (LR) model were done. To assess the effectiveness of this model, 70 catchments in the province of Peninsular Malaysia were used as case studies. The performance of WGMDH model was compared with the conventional LR, GMDH and WR models using various statistical measures such as the mean absolute error, root mean square error and Nash-Sutcliffe coefficient of efficiency. Jackknife procedure was required for the evaluation of the performance of the four approaches. The jackknife procedure was needed to simulate the ungauged sites. The results of the comparison indicate that the WGMDH model was more accurate and perform better than the traditional LR, GMDH and WR models. Thus, WGMDH model is a promising new method for estimation of flood quantiles in ungauged sites. Hikari Ltd. 2014 Article PeerReviewed Badyalina, Basri and Shabri, Ani and Samsudin, Ruhaidah (2014) Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia. International Journal of Mathematical Analysis, 8 (9-12). pp. 513-524. ISSN 1312-8876 http://dx.doi.org/10.12988/ijma.2014.4251 DOI:10.12988/ijma.2014.4251
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science
spellingShingle Q Science
Badyalina, Basri
Shabri, Ani
Samsudin, Ruhaidah
Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
description This study investigates the ability of wavelet group method of data handling (WGMDH) conjunction model in the estimation of flood quantiles in ungauged sites in Peninsular Malaysia. The conjunction method was obtained by combining two methods, discrete wavelet transform and group method of data handling . Comparison between the WGMDH model, group method of data handling model (GMDH), wavelet regression (WR) model and linear regression (LR) model were done. To assess the effectiveness of this model, 70 catchments in the province of Peninsular Malaysia were used as case studies. The performance of WGMDH model was compared with the conventional LR, GMDH and WR models using various statistical measures such as the mean absolute error, root mean square error and Nash-Sutcliffe coefficient of efficiency. Jackknife procedure was required for the evaluation of the performance of the four approaches. The jackknife procedure was needed to simulate the ungauged sites. The results of the comparison indicate that the WGMDH model was more accurate and perform better than the traditional LR, GMDH and WR models. Thus, WGMDH model is a promising new method for estimation of flood quantiles in ungauged sites.
format Article
author Badyalina, Basri
Shabri, Ani
Samsudin, Ruhaidah
author_facet Badyalina, Basri
Shabri, Ani
Samsudin, Ruhaidah
author_sort Badyalina, Basri
title Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
title_short Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
title_full Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
title_fullStr Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
title_full_unstemmed Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
title_sort streamflow estimation at ungauged site using wavelet group method of data handling in peninsular malaysia
publisher Hikari Ltd.
publishDate 2014
url http://eprints.utm.my/id/eprint/62671/
http://dx.doi.org/10.12988/ijma.2014.4251
_version_ 1643655488658735104
score 13.211869