6533b7d9fe1ef96bd126c20a

RESEARCH PRODUCT

Fitting particle size distribution models to data from Burundian soils for the BEST procedure and other purposes

Angelo SgroiGiuseppe ProvenzanoVincenzo Bagarello

subject

Particle-size distributionSoil textureBurundiSimulation modelingSoil ScienceDistribution (mathematics)Soil hydraulic propertieControl and Systems EngineeringApproximation errorParticle-size distribution modelSoil classificationStatisticsSoil waterParticle-size distributionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSize fractionsParticle sizeAgronomy and Crop ScienceFood ScienceMathematics

description

Testing the Beerkan Estimation of Soil Transfer (BEST) soil particle size distribution (PSD) model is necessary to evaluate the applicability of the BEST procedure for characterising soil hydraulics. In this investigation, the fitting performance of the BEST PSD model was tested using a database of 114 Burundian soils with 14 measured particle size fractions for each soil sample, and also by considering a reduced number of measured particle size fractions for a sample. The fitting performance of the model developed by Fredlund et al. (2000) (FR model) was also considered for comparative purposes. On average, the BEST model yielded satisfactory results (i.e., mean relative error, E r ¯ = 3.9 % ). However, low values of Er ( E r ¯ = 2.4 % was obtained with the FR model. It was concluded that, on average, the BEST PSD model is expected to give a reliable description of PSD of Burundian soils. In fine textured soils, reduced experimental information is enough to reproduce the complete PSD. If the objective of fitting a PSD to measured data is theoretical, and not the application of the BEST procedure, then the FR model is preferred.

https://doi.org/10.1016/j.biosystemseng.2009.07.008