Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes

Complete descriptions of the particle-size distribution (PSD) curve should provide more information about various soil properties as opposed to only the textural composition (sand, silt and clay (SSC) fractions). We evaluated the performance of 19 models describing PSD data of soils using a range of...

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Main Authors: Afrasiabi Fatemeh, Khodaverdiloo Habib, Asadzadeh Farrokh, van Genuchten Martinus Th.
Format: Article
Language:English
Published: Sciendo 2019-06-01
Series:Journal of Hydrology and Hydromechanics
Subjects:
Online Access:https://doi.org/10.2478/johh-2018-0009
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spelling doaj-206dcd2d099f440383b4b64cf1846d4e2021-09-06T19:41:40ZengSciendoJournal of Hydrology and Hydromechanics0042-790X2019-06-0167217919010.2478/johh-2018-0009johh-2018-0009Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributesAfrasiabi Fatemeh0Khodaverdiloo Habib1Asadzadeh Farrokh2van Genuchten Martinus Th.3Department of Soil Science, Urmia University, Urmia57135-165, Iran.Department of Soil Science, Urmia University, Urmia57135-165, Iran.Department of Soil Science, Urmia University, Urmia57135-165, Iran.Department of Earth Sciences, Utrecht University, Utrecht, Netherlands.Complete descriptions of the particle-size distribution (PSD) curve should provide more information about various soil properties as opposed to only the textural composition (sand, silt and clay (SSC) fractions). We evaluated the performance of 19 models describing PSD data of soils using a range of efficiency criteria. While different criteria produced different rankings of the models, six of the 19 models consistently performed the best. Mean errors of the six models were found to depend on the particle diameter, with larger error percentages occurring in the smaller size range. Neither SSC nor the geometric mean diameter and its standard deviation correlated significantly with the saturated hydraulic conductivity (Kfs); however, the parameters of several PSD models showed significant correlation with Kfs. Porosity, mean weight diameter of the aggregates, and bulk density also showed significant correlations with PSD model parameters. Results of this study are promising for developing more accurate pedotransfer functions.https://doi.org/10.2478/johh-2018-0009lake urmia (iran)particle-size distribution modelspedotransfer functionssoil physical properties
collection DOAJ
language English
format Article
sources DOAJ
author Afrasiabi Fatemeh
Khodaverdiloo Habib
Asadzadeh Farrokh
van Genuchten Martinus Th.
spellingShingle Afrasiabi Fatemeh
Khodaverdiloo Habib
Asadzadeh Farrokh
van Genuchten Martinus Th.
Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes
Journal of Hydrology and Hydromechanics
lake urmia (iran)
particle-size distribution models
pedotransfer functions
soil physical properties
author_facet Afrasiabi Fatemeh
Khodaverdiloo Habib
Asadzadeh Farrokh
van Genuchten Martinus Th.
author_sort Afrasiabi Fatemeh
title Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes
title_short Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes
title_full Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes
title_fullStr Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes
title_full_unstemmed Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes
title_sort comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes
publisher Sciendo
series Journal of Hydrology and Hydromechanics
issn 0042-790X
publishDate 2019-06-01
description Complete descriptions of the particle-size distribution (PSD) curve should provide more information about various soil properties as opposed to only the textural composition (sand, silt and clay (SSC) fractions). We evaluated the performance of 19 models describing PSD data of soils using a range of efficiency criteria. While different criteria produced different rankings of the models, six of the 19 models consistently performed the best. Mean errors of the six models were found to depend on the particle diameter, with larger error percentages occurring in the smaller size range. Neither SSC nor the geometric mean diameter and its standard deviation correlated significantly with the saturated hydraulic conductivity (Kfs); however, the parameters of several PSD models showed significant correlation with Kfs. Porosity, mean weight diameter of the aggregates, and bulk density also showed significant correlations with PSD model parameters. Results of this study are promising for developing more accurate pedotransfer functions.
topic lake urmia (iran)
particle-size distribution models
pedotransfer functions
soil physical properties
url https://doi.org/10.2478/johh-2018-0009
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