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This paper presents a novel method, combining FEM and an improved back-propagation (BP) neural network, for correction of soil parameters in numerical prediction of embankment settlement.
Optimizing plant and soil management practices, particularly the correction of soil pH and additions of amendments of exogenous chelates and fertilizers, can also enhance phytoremediation of Ni-contaminated soils.
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In the estimation of the number of cells of microorganisms in 1 g of wet soil, the result obtained was multiplied by the degree of dilution (103, 104, 105, etc).. To determine the number of microorganisms in 1 g of dry soil, the respective number of cells in 1 g of wet soil was multiplied by a correction factor of soil moisture [12, 14].
The soil parameters with large sensitivity are identified, and together with the representative settlements, are used for the training of the improved BP neural network which, once established, generates correction factors of soil parameters for subsequent more accurate FEM forward predictions.
It was demonstrated that for most geochemical elements the particle size correction factor resulted in an over-correction of the source soil relative to the mobilized soil and that using the organic matter correction factor in addition to the particle size correction exacerbated this over-correction.
This method is frequently used in Ethiopia and southern Ethiopia in particular because it is suitable for soils, requiring lime correction of more than 1 ton ha−1 and soils with pH less than 5.8 Pansu and Gautheyrou [18].
While DS and EPO results were similar when a large number of soil cores were reserved for calibrating the moisture correction methods, SOC predictions using the EPO correction significantly outperformed those using the DS correction for a lower number of cores (5 cores, 15 samples).
An effective temperature correction method for dielectric sensors is important to ensure the accuracy of soil water content (SWC) measurements of local to regional-scale soil moisture monitoring networks.
Mathematical correction of the lateral diffusion flux increases in soil and sediment DGT measurements should therefore not be necessary.
A correction (assuming a soil content of 23% of the body weight) was therefore applied to the experimental earthworm concentration measurements to account for the soil remaining in the earthworm gut and ensure the analysis focused on tissue concentrations only.
You dropped two handfuls of soil.
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