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Particle size distribution fitting of surface detrital sediment using the Swrebec function

Purpose The development of mathematical models to accurately represent the particle size distribution (PSD) of sediment has been addressed by different authors. Here, we introduce the three-parameter Swrebec function as a tool to fit the PSD of sediments. Moreover, we also assess the physical meani...

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Autor Principal: Sierra Fern?ndez, Carlos
Formato: Artículos
Lenguaje:eng
Publicado: Datenschutz / Springer Berlin Heidelberg 2016
Materias:
PARTICLE
DISTRIBUTION
SEDIMENT
FUNCTION
Acceso en línea:http://repositorio.educacionsuperior.gob.ec/handle/28000/2692
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spelling oai:localhost:28000-26922017-11-07T20:19:28Z Particle size distribution fitting of surface detrital sediment using the Swrebec function Sierra Fern?ndez, Carlos PARTICLE DISTRIBUTION SEDIMENT FUNCTION Purpose The development of mathematical models to accurately represent the particle size distribution (PSD) of sediment has been addressed by different authors. Here, we introduce the three-parameter Swrebec function as a tool to fit the PSD of sediments. Moreover, we also assess the physical meaning of the undulation parameter (b) in the function. Materials and methods We performed PSD by means of laser diffraction spectroscopy. Then, sediments were classified and the statistical parameters (mean, skewness, sorting and kurtosis) calculated using GRADISTAT software, according to the Folk and Ward?s method. Subsequently, the Swrebec function (programmed in Matlab) was applied to the data and its goodness-of-fit were evaluated by means of the adjusted coefficient of determination (R2-Adj) and the root mean squared error (RMSE). The results obtained by Swrebec were also compared with other functions using the Ezyfit toolbox. Results and discussion The Swrebec model provided excellent correlations and low RMSE when fitting all grain size data. Furthermore, a correlation between b and both the skewness and RMSE was established. This indicates that the greater the asymmetry of the function, and therefore the larger the presence of coarse-grained particles, the lower the performance of the function. It was also observed that a change in the behaviour of all trends seems to occur at a b value of ~4.5. Conclusions Results suggest that the studied function could be a simple approach for modelling PSD, with potential applications in soil and sediment science, geochemistry, sedimentology and coastal research modelling. http://link.springer.com/article/10.1007%2Fs11368-015-1156-9 2016-11-08T17:05:49Z 2016-11-08T17:05:49Z 2015 article Sierra Fern?ndez,Carlos. (2015). Particle size distribution fitting of surface detrital sediment using the Swrebec function. Vol.15. Issue 9. pp 2004?2011. 1614-7480 http://repositorio.educacionsuperior.gob.ec/handle/28000/2692 eng openAccess pp 2004?2011 Datenschutz / Springer Berlin Heidelberg
institution SENESCYT
collection Repositorio SENESCYT
biblioteca Biblioteca Senescyt
language eng
format Artículos
topic PARTICLE
DISTRIBUTION
SEDIMENT
FUNCTION
spellingShingle PARTICLE
DISTRIBUTION
SEDIMENT
FUNCTION
Sierra Fern?ndez, Carlos
Particle size distribution fitting of surface detrital sediment using the Swrebec function
description Purpose The development of mathematical models to accurately represent the particle size distribution (PSD) of sediment has been addressed by different authors. Here, we introduce the three-parameter Swrebec function as a tool to fit the PSD of sediments. Moreover, we also assess the physical meaning of the undulation parameter (b) in the function. Materials and methods We performed PSD by means of laser diffraction spectroscopy. Then, sediments were classified and the statistical parameters (mean, skewness, sorting and kurtosis) calculated using GRADISTAT software, according to the Folk and Ward?s method. Subsequently, the Swrebec function (programmed in Matlab) was applied to the data and its goodness-of-fit were evaluated by means of the adjusted coefficient of determination (R2-Adj) and the root mean squared error (RMSE). The results obtained by Swrebec were also compared with other functions using the Ezyfit toolbox. Results and discussion The Swrebec model provided excellent correlations and low RMSE when fitting all grain size data. Furthermore, a correlation between b and both the skewness and RMSE was established. This indicates that the greater the asymmetry of the function, and therefore the larger the presence of coarse-grained particles, the lower the performance of the function. It was also observed that a change in the behaviour of all trends seems to occur at a b value of ~4.5. Conclusions Results suggest that the studied function could be a simple approach for modelling PSD, with potential applications in soil and sediment science, geochemistry, sedimentology and coastal research modelling.
author Sierra Fern?ndez, Carlos
author_facet Sierra Fern?ndez, Carlos
author_sort Sierra Fern?ndez, Carlos
title Particle size distribution fitting of surface detrital sediment using the Swrebec function
title_short Particle size distribution fitting of surface detrital sediment using the Swrebec function
title_full Particle size distribution fitting of surface detrital sediment using the Swrebec function
title_fullStr Particle size distribution fitting of surface detrital sediment using the Swrebec function
title_full_unstemmed Particle size distribution fitting of surface detrital sediment using the Swrebec function
title_sort particle size distribution fitting of surface detrital sediment using the swrebec function
publisher Datenschutz / Springer Berlin Heidelberg
publishDate 2016
url http://repositorio.educacionsuperior.gob.ec/handle/28000/2692
_version_ 1634995077319229440
score 11,871979

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