ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS
The soil particle-size distribution (PSD) is commonly used for soil classification and for estimating soil behavior. An accurate mathematical representation of the PSD is required to estimate soil hydraulic properties and to compare texture measurements from different classification systems. The obj...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2009-09-01
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| Series: | Journal of Agricultural Engineering |
| Subjects: | |
| Online Access: | http://www.agroengineering.org/index.php/jae/article/view/81 |
| _version_ | 1828872341846753280 |
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| author | Vincenzo Bagarello Vito Ferro Giuseppe Giordano |
| author_facet | Vincenzo Bagarello Vito Ferro Giuseppe Giordano |
| author_sort | Vincenzo Bagarello |
| collection | DOAJ |
| description | The soil particle-size distribution (PSD) is commonly used for soil classification and for estimating soil behavior. An accurate mathematical representation of the PSD is required to estimate soil hydraulic properties and to compare texture measurements from different classification systems. The objective of this study was to evaluate the ability of the Haverkamp and Parlange (HP) and Fredlund et al. (F) PSD models to fit 243 measured PSDs from a wide range of 38 005_Bagarello(547)_33 18-11-2009 11:55 Pagina 38 soil textures in Sicily and to test the effect of the number of measured particle diameters on the fitting of the theoretical PSD. For each soil textural class, the best fitting performance, established using three statistical indices (MXE, ME, RMSE), was obtained for the F model with three fitting parameters. In particular, this model performed better in the fine-textured soils than the coarse-textured ones but a good performance (i.e., RMSE < 0.03) was detected for the majority of the investigated soil textural classes, i.e. clay, silty-clay, silty-clay-loam, silt-loam, clay-loam, loamy-sand, and loam classes. Decreasing the number of measured data pairs from 14 to eight determined a worse fitting of the theoretical distribution to the measured one. It was concluded that the F model with three fitting parameters has a wide applicability for Sicilian soils and that the comparison of different PSD investigations can be affected by the number of measured data pairs. |
| first_indexed | 2024-12-13T06:51:55Z |
| format | Article |
| id | doaj.art-0339ca2c2f07411dafba5495aa5438c6 |
| institution | Directory Open Access Journal |
| issn | 1974-7071 2239-6268 |
| language | English |
| last_indexed | 2024-12-13T06:51:55Z |
| publishDate | 2009-09-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Journal of Agricultural Engineering |
| spelling | doaj.art-0339ca2c2f07411dafba5495aa5438c62022-12-21T23:56:06ZengPAGEPress PublicationsJournal of Agricultural Engineering1974-70712239-62682009-09-01403333910.4081/jae.2009.3.3372ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILSVincenzo BagarelloVito FerroGiuseppe GiordanoThe soil particle-size distribution (PSD) is commonly used for soil classification and for estimating soil behavior. An accurate mathematical representation of the PSD is required to estimate soil hydraulic properties and to compare texture measurements from different classification systems. The objective of this study was to evaluate the ability of the Haverkamp and Parlange (HP) and Fredlund et al. (F) PSD models to fit 243 measured PSDs from a wide range of 38 005_Bagarello(547)_33 18-11-2009 11:55 Pagina 38 soil textures in Sicily and to test the effect of the number of measured particle diameters on the fitting of the theoretical PSD. For each soil textural class, the best fitting performance, established using three statistical indices (MXE, ME, RMSE), was obtained for the F model with three fitting parameters. In particular, this model performed better in the fine-textured soils than the coarse-textured ones but a good performance (i.e., RMSE < 0.03) was detected for the majority of the investigated soil textural classes, i.e. clay, silty-clay, silty-clay-loam, silt-loam, clay-loam, loamy-sand, and loam classes. Decreasing the number of measured data pairs from 14 to eight determined a worse fitting of the theoretical distribution to the measured one. It was concluded that the F model with three fitting parameters has a wide applicability for Sicilian soils and that the comparison of different PSD investigations can be affected by the number of measured data pairs.http://www.agroengineering.org/index.php/jae/article/view/81Particle-size distribution, Particle-size distribution models, Soil physical properties. |
| spellingShingle | Vincenzo Bagarello Vito Ferro Giuseppe Giordano ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS Journal of Agricultural Engineering Particle-size distribution, Particle-size distribution models, Soil physical properties. |
| title | ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS |
| title_full | ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS |
| title_fullStr | ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS |
| title_full_unstemmed | ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS |
| title_short | ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS |
| title_sort | estimating soil particle size distribution for sicilian soils |
| topic | Particle-size distribution, Particle-size distribution models, Soil physical properties. |
| url | http://www.agroengineering.org/index.php/jae/article/view/81 |
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