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Next we simulated the spatial dynamics of land abandonment with a spatially explicit land use change model for the period 2004 to 2015 for four different land use change scenarios.
In our previous work, we have established a three-dimensional (3D) finite element model (FEM) which precisely simulated the spatial configuration of the braiding yarns.
We simulated the spatial distribution of the gas flux generated by different kinds of gas showers and changes in this spatial distribution with increasing distance from the gas outlet.
Moreover, we numerically simulated the spatial distribution evolution of temperature, hydrate saturation and gas saturation in the reservoir for a 1.5 MPa wellbore pressure; the simulation indicated that a large volume of free CH4 remained in the reservoir.
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For these reasons, this paper used the sequential indicator simulation (SIS) algorithm of categorical variables to simulate the spatial distribution of forest types.
Three scenarios were designed to simulate the spatial pattern of urban growth under different conditions.
The solutions can be used to simulate the spatial distribution and the temporal evolution of contaminant concentrations during operation of a soil vapor extraction well.
The experimental diffraction curves exhibiting a good fitting with the Gauss density function have been used to simulate the spatial orientation of inclusions.
In order to simulate the spatial variation of the manufacturing error, the projection threshold is represented by a (non-Gaussian) random field.
Huangpi, a suburban area in Wuhan, is utilized as the case study area to simulate the spatial and temporal dynamics of urban growth from 2004 to 2024.
In this study, the two methodologies were combined in order to simulate the spatial and temporal distribution of hydraulic head in a study area.
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