Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6812
Title: Use of Principal component analysis in conjunction with soft computing methods for investigating total sediment load transferability from laboratory to field scale
Authors: Tayfur, Gökmen
Karimi, Yashar
Keywords: Empirical methods
Expert methods
Laboratory and field scale
Transferability
Principal component analysis
Total load
Issue Date: 2014
Publisher: IWA Publishing
Source: Tayfur, G., and Karimi, Y. (2014). Use of Principal component analysis in conjunction with soft computing methods for investigating total sediment load transferability from laboratory to field scale. Hydrology Research, 45(4-5), 540-550. doi:10.2166/nh.2013.244
Abstract: This study quantitatively investigates the generalization from laboratory scale to field scale using the soft computing (expert) and the empirical methods. Principal component analysis is utilized to form the input vector for the expert methods. Five main dimensionless parameters are used in the input vector of artificial neural networks (ANN), calibrated with laboratory data, to predict field total sediment loads. In addition, nonlinear equations are constructed based upon the same dimensionless parameters. The optimal values of the exponents and constants of the equations are obtained by the genetic algorithm (GA) method using the laboratory data. The performance of the sodeveloped ANN and GA based models are compared against the field data and those of the existing empirical methods, namely Bagnold, Ackers and White, and Van Rijn. The results show that ANN outperforms the empirical methods. The results also show that the expert models, calibrated with laboratory data, are capable of predicting field total loads and thus proving their transferability capability. The transferability is also investigated by a newly proposed equation which is based on the Bagnold approach. The optimal values of the coefficients of this equation are obtained by the GA. The performance of the proposed equation is found to be very efficient.
URI: http://doi.org/10.2166/nh.2013.244
http://hdl.handle.net/11147/6812
ISSN: 1998-9563
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
6812.pdfMakale320.73 kBAdobe PDFThumbnail
View/Open
Show full item record

CORE Recommender

SCOPUSTM   
Citations

2
checked on Dec 4, 2021

WEB OF SCIENCETM
Citations

3
checked on Dec 4, 2021

Page view(s)

26
checked on Dec 4, 2021

Download(s)

20
checked on Dec 4, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.