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Soil evaporation, an important component of maize ET, was also satisfactorily simulated in the improved model.
The elastic deformation theory and the interpolation of three typical structured packing were introduced in the improved model, to calculate the contact conduction of random packed beds with the consideration of packing fractions.
At the same time, the Robold model was employed in the improved model, in replacement of the simple formula used in the old ZBS model, by the comparison of several radiation correlations.
In the improved model, the distributed stiffness and mass of the embedded segment of the Smart Probe are explicitly formulated in the governing equations of motion, allowing more realistic predictions of the actual dynamic features of the Smart Probe-cementitious material system.
In the improved model described below, the pore pressure ratio at the base of the accretionary wedge estimated by the Coulomb wedge model (Davis et al.1983) was used for segment b-c of Figure6a.
These important contributions in the improved model were used to standardize the general performance of produced water reinjection in hydrocarbon aquifers, with geochemical reaction, adsorption kinetics, and hydrodynamic dispersion transport that highlighted as the key performance indicators of the improved model, as illustrated in subsequent sections (see Fig. 4).
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The reason for the improvements on the prediction capabilities of the calibrated transition model lies in the improved modeling of the laminar behavior of the boundary layer (laminar bubbles) and, specifically, on a much accurate evaluation of the laminar to turbulent boundary layer transition due to laminar bubbles.
In other words, the improved model can assess risk with BN in the case of incomplete data and correlated indicators.
Thus, it is important to show that with this change in risk estimates the improved model remains well calibrated.
Since matrix X is a row-wise sparse matrix, as shown in Figure 4, the improved model is an extension of our previous sparse model (1) by considering multiple pixels simultaneously.
Compared to the four-term model presented in the previous paper, the improved model fit the data better, had excellent cross-validation performance, and the predicted Zave of a validation point was within model uncertainty of the measured value.
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