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                                    FIGURE 5.1 Crystal Ball screenshot (activated cells of an Excel spreadsheet, the result of a
                                    sensitivity analysis and the final provision).


                                    5.4.2 FRAMEWORK FOR UNCERTAINTY ASSESSMENT BY MONTE
                                          CARLO SIMULATION IN ENVIRONMENTAL IMPACT ANALYSIS
                                    Based on the information about previous studies on uncertainty evaluation in envi-
                                    ronmental impact analysis methods and the knowledge of the MC simulation tech-
                                    nique, the following general strategy for the assessment of uncertainties in impact
                                    assessment studies may be established:

                                       •  Classification of data (extensively available, based on little information
                                          and data that can be ignored)
                                       •  Identification of probability distribution for considered data
                                       •  Monte Carlo simulation
                                       •  Sensitivity analysis
                                       •  Analysis and discussion of results

                                       As mentioned briefly earlier, by means of a sensitivity analysis it is possible to
                                    show which parameters are most relevant for the final result. If small modifications
                                    of one parameter characterized by a probability distribution strongly influence the
                                    final result, it can be concluded that the sensitivity of the considered variable is
                                    elevated for the relation between parameter and final result.  This information is


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