Occurrence of bed load transport in the presence of stable clast

It is well-versed that transport occurrence is vital for in stream rehabilitation, river restoration and installment of sediment sampler on river beds. Current practice emulates the use of continuous prediction using reach-averaged approach. However, prediction of transport occurrence entails the us...

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Published in:International Journal of Sediment Research
Main Author: Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
Format: Article
Language:English
Published: Elsevier B.V. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021254139&doi=10.1016%2fj.ijsrc.2017.02.005&partnerID=40&md5=c0ba9099e2ba7b5517bd93a869a86997
id 2-s2.0-85021254139
spelling 2-s2.0-85021254139
Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
Occurrence of bed load transport in the presence of stable clast
2017
International Journal of Sediment Research
32
2
10.1016/j.ijsrc.2017.02.005
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021254139&doi=10.1016%2fj.ijsrc.2017.02.005&partnerID=40&md5=c0ba9099e2ba7b5517bd93a869a86997
It is well-versed that transport occurrence is vital for in stream rehabilitation, river restoration and installment of sediment sampler on river beds. Current practice emulates the use of continuous prediction using reach-averaged approach. However, prediction of transport occurrence entails the use of binary model through the execution of logistic regression analysis. Bed load and turbulence data were physically measured at mountainous region with divergent surface bedform in its presence. The parameterization and statistical approaches are treated in the similar fashion with multiple regression except for the test for model fit and model selection criterion. The parameters on near-bed turbulence characteristics at the entrainment threshold were assigned as independent variables containing 15 predictors. Almost 80 models were generated by selecting the best possible combination in accordance with the statistical precaution of alleviating multicollinearity issue. It is postulated that the model containing shields stress in the form of turbulent kinetic energy (TKE) at vertical direction and fractional time for second quadrant provides better estimation of potential location for greatest sediment-entrainment; hence a high possibility for transport occurrence. © 2017 International Research and Training Centre on Erosion and Sedimentation / the World Association for Sedimentation and Erosion Research
Elsevier B.V.
10016279
English
Article

author Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
spellingShingle Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
Occurrence of bed load transport in the presence of stable clast
author_facet Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
author_sort Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
title Occurrence of bed load transport in the presence of stable clast
title_short Occurrence of bed load transport in the presence of stable clast
title_full Occurrence of bed load transport in the presence of stable clast
title_fullStr Occurrence of bed load transport in the presence of stable clast
title_full_unstemmed Occurrence of bed load transport in the presence of stable clast
title_sort Occurrence of bed load transport in the presence of stable clast
publishDate 2017
container_title International Journal of Sediment Research
container_volume 32
container_issue 2
doi_str_mv 10.1016/j.ijsrc.2017.02.005
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021254139&doi=10.1016%2fj.ijsrc.2017.02.005&partnerID=40&md5=c0ba9099e2ba7b5517bd93a869a86997
description It is well-versed that transport occurrence is vital for in stream rehabilitation, river restoration and installment of sediment sampler on river beds. Current practice emulates the use of continuous prediction using reach-averaged approach. However, prediction of transport occurrence entails the use of binary model through the execution of logistic regression analysis. Bed load and turbulence data were physically measured at mountainous region with divergent surface bedform in its presence. The parameterization and statistical approaches are treated in the similar fashion with multiple regression except for the test for model fit and model selection criterion. The parameters on near-bed turbulence characteristics at the entrainment threshold were assigned as independent variables containing 15 predictors. Almost 80 models were generated by selecting the best possible combination in accordance with the statistical precaution of alleviating multicollinearity issue. It is postulated that the model containing shields stress in the form of turbulent kinetic energy (TKE) at vertical direction and fractional time for second quadrant provides better estimation of potential location for greatest sediment-entrainment; hence a high possibility for transport occurrence. © 2017 International Research and Training Centre on Erosion and Sedimentation / the World Association for Sedimentation and Erosion Research
publisher Elsevier B.V.
issn 10016279
language English
format Article
accesstype
record_format scopus
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