Article ID Journal Published Year Pages File Type
506910 Computers & Geosciences 2016 13 Pages PDF
Abstract

•The tool has been developed for professionals that study the sediment transport.•The program is a useful tool for estimating the sediment textural parameters.•This routine is useful when the data were obtained using the dry sieving technique.•The program recognizes the ANFOR, BS and ASTM nominal sieve openings standards.•The user license is free.

This paper presents a new computational tool called SANDY© which calculates the sediment size distribution and its textural parameters from a sieved sediment sample using Matlab®. The tool has been developed for professionals involved in the study of sediment transport along coastal margins, estuaries, rivers and desert dunes. The algorithm uses several types of statistical analyses to obtain the main textural characteristics of the sediment sample (D50, mean, sorting, skewness and kurtosis). SANDY© includes the method of moments (geometric, arithmetic and logarithmic approaches) and graphical methods (geometric, arithmetic and mixed approaches). In addition, it provides graphs of the sediment size distribution and its classification. The computational tool automatically exports all the graphs as enhanced metafile images and the final report is also exported as a plain text file. Parameters related to bed roughness such as Nikuradse and roughness length are also computed. Theoretical depositional environments are established by a discriminant function analysis. Using the uniformity coefficient the hydraulic conductivity of the sand as well as the porosity and void ratio of the sediment sample are obtained. The maximum relative density related to sand compaction is also computed. The Matlab® routine can compute one or several samples. SANDY© is a useful tool for estimating the sediment textural parameters which are the basis for studies of sediment transport.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, , , ,