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...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-206dcd2d099f440383b4b64cf1846d4e |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT afrasiabifatemeh comparisonofalternativesoilparticlesizedistributionmodelsandtheircorrelationwithsoilphysicalattributes AT khodaverdiloohabib comparisonofalternativesoilparticlesizedistributionmodelsandtheircorrelationwithsoilphysicalattributes AT asadzadehfarrokh comparisonofalternativesoilparticlesizedistributionmodelsandtheircorrelationwithsoilphysicalattributes AT vangenuchtenmartinusth comparisonofalternativesoilparticlesizedistributionmodelsandtheircorrelationwithsoilphysicalattributes |
_version_ |
1717765644263358464 |