The best mathematical models describing particle size distribution of soils

被引：30

作者：

Esmaeelnejad L. ^{[1
]}

Siavashi F. ^{[1
]}

Seyedmohammadi J. ^{[2
]}

Shabanpour M. ^{[3
]}

机构：

[1] Department of Soil Science, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj

[2] Department of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz

[3] Department of Soil Science, Faculty of Agriculture, University of Guilan, Rasht

来源：

Modeling Earth Systems and Environment | 2016年 / 2卷 / 4期

关键词：

Fitting ability; Fredlund; Soil particle size distribution; Textural groups; Weibull model;

D O I：

10.1007/s40808-016-0220-9

中图分类号：

学科分类号：

摘要：

Since particle size distribution (PSD) is a fundamental soil physical property, so determination of its accurate and continuous curve is important. Many models have been introduced to describe PSD curve, but their fitting capability in different textural groups have been rarely investigated. The aim of this study was to evaluate the fitting ability of 15 models on 2653 soil samples from 13 province of Iran, and to determine the best model among them for the PSD of all soil samples as well as for each soil textural group based on evaluation criteria. Results showed that the Weibull model was the most accurate model for all soil samples as well as for the clayey and loamy groups. After the Weibull, Fredlund, Rosin–Rammler and van Genuchten were the most accurate models. However, their differences were not significant (p ≤ 0.05). Also, for the coarse texture group the S-shape model showed the better fit than the others. These results showed the performance of a particular model varies with the soil textural characteristics. © 2016, Springer International Publishing Switzerland.

引用

页码：1 / 11

页数：10

共 37 条

[1]

Bagarello V., Provenzao G., Sgroi A., Fitting particle size distribution models to data from Burundian soils for the BEST procedure and other purposes, Biosyst Eng, 104, pp. 435-441, (2009)

[2]

Bah A.R., Kravchuk O., Kirchhof G., Fitting performance of particle-size distribution models on data derived by conventional and laser diffraction techniques, Soil Sci Soc Am J, 73, pp. 1101-1107, (2009)

[3]

Bayat H., Rastgo M., Mansourizade M., Vereeken H., Particle size distribution models, their characteristics and fitting capability: a review, J Hydol, 529, pp. 872-889, (2015)

[4]

Bittelli M., Campbell G.S., Flury M., Characterization of particle-size distribution in soils with a fragmentation model, Soil Sci Soc Am J, 63, pp. 782-788, (1999)

[5]

Botula Y.D., Cornelis W.M., Baert G., Mafuka P., Van Ranst E., Particle size distribution models for soils of the humid tropics, J Soils Sediments, 13, pp. 686-698, (2013)

[6]

Buchan G.D., Applicability of the simple lognormal model to particle-size distribution in soils, Soil Sci, 147, pp. 155-161, (1989)

[7]

Buchan G.D., Grewal K.S., Robson A.B., Improved models of particle-size distribution: an illustration of model comparison techniques, Soil Sci Soc Am J, 57, pp. 901-908, (1993)

[8]

Burnham K.P., Anderson D.R., Model Selection and Multi-Model Inference: a Practical Information-Theoretic Approach, (2002)

[9]

Campbell G.S., Soil physics with basic: transport models for soil-plant systems, (1985)

[10]

Erashin S., Gunal H., Kutlu T., Yetgin B., Coban S., Estimating specific surface area and cation exchange capacity in soils using fractal dimension of particle-size distribution, Geoderma, 136, 3, pp. 588-597, (2006)

← 1 2 3 4 →