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The following data can be entered on the General tab:
Number of Simulations: This is the number of simulation analysis (realizations) to make, during each simulation the probability distributions of each variable are randomly sampled and the concentrations calculated. To obtain sufficiently reliable results at least 500 simulations are recommended, and for some cases between 1000 to 10000 simulations (realizations) may be required. The user should experiment with this parameter to determine the sensitivity of the results to the number of simulations. This is a computationally intensive feature, and the user should be aware that it may take anywhere from a few minutes to hours to complete with computation time depending on the speed of the computer, the number of simulations to be performed, the number of layers, and the Talbot integration parameter ‘N’.
Number of Variables: This is the number of variables the user would like to incorporate into the simulation. Each variable represents one data item in the input data, and is described using a probability distribution. There can be up to 5 variables. The types of variables that can be changed are initial source concentration, Darcy velocity, layer thickness, layer diffusion coefficient, layer distribution coefficient, or Variable Properties end time.
Number of Data Ranges: This is the number of data ranges to divide the probability distributions into in the output of the results of the simulation. A maximum of 20 ranges may be specified. This parameter does not affect the accuracy of the results and is for display purposes only.
List All Results: By selecting the ‘Yes’ response to this option, the user can obtain a list of all the simulation results. By selecting ‘No’ as a response, the user limits the output to a summary of the results. Listing all the results will include the results of every simulation pass in the output, the output file that is obtained may be extremely large. This option can be used to list all the results for a limited number of simulations (e.g. 10), to obtain a better idea of how the program is functioning, prior to running it for all the simulations.