Application of automated grain sizing technique (AGS) for bed load samples at Rasil River: A case study for supply limited channel

Obtaining grain size distribution (GSD) is necessary in fluvial research. Conventional sieving and manual picking of particles are widely practiced to obtain representative sizes. Sieving method emulates the use of frequency by mass whereas manual picking method entails the use of frequency by count...

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书目详细资料
发表在:Catena
主要作者: Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
格式: 文件
语言:English
出版: Elsevier 2014
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902509279&doi=10.1016%2fj.catena.2014.05.013&partnerID=40&md5=4dab49941b4cf30e1e3cb54c0bdab10a
实物特征
总结:Obtaining grain size distribution (GSD) is necessary in fluvial research. Conventional sieving and manual picking of particles are widely practiced to obtain representative sizes. Sieving method emulates the use of frequency by mass whereas manual picking method entails the use of frequency by count technique. However, in some instances, bed load transport rates can be quite low, making it difficult to obtain sufficient sample mass for sieve analysis. Inadequate sample size may hinder the accuracy of GSD if the frequency by mass method is applied. Manual hand picking method is almost impossible for supply limited channel where majority of particles in motion are less than 8. mm. This paper tests the use of automated image processing techniques for obtaining size statistics of small sample mass of bed load samples. Comparison of GSD between the bed material and bed load successfully elucidate the applicability of automated grain sizing (AGS) technique for small size of bed load sample. Bed load GSD at supply limited channel exhibit the size selective pattern where GSD for bed load is much finer than GSD from surface material and almost overlay with GSD from subsurface material. © 2014 Elsevier B.V.
ISSN:3418162
DOI:10.1016/j.catena.2014.05.013