Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4659
Title: Fuzzy logic algorithm for runoff-induced sediment transport from bare soil surfaces
Authors: Tayfur, Gökmen
Özdemir, Serhan
Singh, Vijay P.
Tayfur, Gökmen
Özdemir, Serhan
Izmir Institute of Technology. Mechanical Engineering
Izmir Institute of Technology. Civil Engineering
Keywords: Artificial neural networks
Fuzzy logic
Physics-based model
Sediment transport
Issue Date: Dec-2003
Publisher: Elsevier Ltd.
Source: Tayfur, G., Özdemir, S., and Singh, V. P. (2003). Fuzzy logic algorithm for runoff-induced sediment transport from bare soil surfaces. Advances in Water Resources, 26(12), 1249-1259. doi:10.1016/j.advwatres.2003.08.005
Abstract: Utilizing the rainfall intensity, and slope data, a fuzzy logic algorithm was developed to estimate sediment loads from bare soil surfaces. Considering slope and rainfall as input variables, the variables were fuzzified into fuzzy subsets. The fuzzy subsets of the variables were considered to have triangular membership functions. The relations among rainfall intensity, slope, and sediment transport were represented by a set of fuzzy rules. The fuzzy rules relating input variables to the output variable of sediment discharge were laid out in the IF-THEN format. The commonly used weighted average method was employed for the defuzzification procedure. The sediment load predicted by the fuzzy model was in satisfactory agreement with the measured sediment load data. Predicting the mean sediment loads from experimental runs, the performance of the fuzzy model was compared with that of the artificial neural networks (ANNs) and the physics-based models. The results of showed revealed that the fuzzy model performed better under very high rainfall intensities over different slopes and over very steep slopes under different rainfall intensities. This is closely related to the selection of the shape and frequency of the fuzzy membership functions in the fuzzy model.
URI: http://doi.org/10.1016/j.advwatres.2003.08.005
http://hdl.handle.net/11147/4659
ISSN: 0309-1708
0309-1708
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
4659.pdfMakale331.19 kBAdobe PDFThumbnail
View/Open
Show full item record

CORE Recommender

SCOPUSTM   
Citations

72
checked on Jul 24, 2021

WEB OF SCIENCETM
Citations

64
checked on Jul 24, 2021

Page view(s)

8
checked on Jul 25, 2021

Download(s)

16
checked on Jul 25, 2021

Google ScholarTM

Check

Altmetric


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