Search results for " model parameterization"

showing 2 items of 2 documents

Parameterization of a comprehensive explicit model for single-ring infiltration

2021

International audience; Comprehensive infiltration models can simultaneously describe transient and steady-state infiltration behaviors, and therefore can be applied to a range of experimental conditions. However, satisfactory model accuracy re- quires proper parameterization, including estimating the transition time from transient to steady-state flow conditions (τcrit). This study focused on improving the estimation of two parameters – τcrit and a second constant called a – used in a comprehensive, explicit, two-term model for single ring infiltration (hereafter referred to as the SA model). Different studies have recommended that a should be as low as 0.45 to as high as 0.91. Furthermore…

Environmental EngineeringIterative method0207 environmental engineeringExperimental data04 agricultural and veterinary sciences02 engineering and technologyInfiltration model parameterization Single ring infiltrometer Transition timeInfiltration (HVAC)infiltration model parameterizationTerm (time)Flow conditions040103 agronomy & agricultureRange (statistics)0401 agriculture forestry and fisheriesApplied mathematicsSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSingle ring infiltrometertransition timeTransient (oscillation)[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology020701 environmental engineeringConstant (mathematics)Water Science and TechnologyMathematics
researchProduct

Statistical check of USLE-M and USLE-MM to predict bare plot soil loss in two Italian environments

2018

The USLE-M and the USLE-MM estimate event plot soil loss. In both models, the erosivity term is given by the runoff coefficient, QR, times the single-storm erosion index, EI30. In the USLE-MM, QREI30is raised to an exponent b1> 1 whereas b1= 1 is assumed in the USLE-M. Simple linear regression analysis can be applied to parameterize both models, but logarithmically transformed data have to be used for USLE-MM. Parameterizing the USLE-MM with nonlinear regression of untransformed data could be a more appropriate procedure. A statistical check of the two suggested models (USLE-M and USLE-MM), considering two alternative parameterization procedures for the USLE-MM, was carried out for the Mass…

event temporal scale model parameterization plot soil loss USLE-M USLE-MM0208 environmental biotechnologyplot soil lossSoil ScienceSoil science02 engineering and technologyDevelopmentevent temporal scalePlot (graphics)Plot soil lo020801 environmental engineeringSoil lossSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalimodel parameterizationUSLE-MUSLE-MMEnvironmental ChemistryEnvironmental scienceGeneral Environmental ScienceLand Degradation & Development
researchProduct