Representative data selection method based on sensitivity analysis

Abstract

The invention provides a representative data selection method based on sensitivity analysis. According to the method, through the recipe survey around nuclear facilities and the introduction of radiation protection dosimetry, statistics and parameter sensitivity analysis method in the statistic process, the recommended representative personnel recipe can reflect the actual radiation dosage receiving condition of residents around the plant site. The method provided by the invention has the advantages that the representative problems of representative personnel recipe selection in the existing recipe survey can be effectively solved, an effective and optimized selection method of representative personnel recipe data can be provided, and more reasonable and more precise evaluation results can be obtained in the personnel radiation dosage evaluation of nuclear facilities.

Description

technical field [0001] The invention belongs to the reflective release evaluation technology in the normal operation state of nuclear facilities, and in particular relates to a representative data selection method based on sensitivity analysis. Background technique [0002] In the environmental impact assessment of nuclear facilities, it is necessary to issue questionnaires to specific groups of people to investigate the food consumption (recipe) of individuals. Since the evaluation needs to evaluate the maximum personal dose received by representative individuals in the group, it is necessary The recipes of representative individuals were counted after the survey. Because more than a dozen kinds of food are involved in the recipe survey, each food has different influences on the dose calculation results. Therefore, when determining the maximum diet of a representative individual, it is necessary to combine the influence of each food on the dose calculation results. Currentl...

AI Technical Summary

Problems solved by technology

Because more than a dozen kinds of food are involved in the recipe survey, and each food has different influences on the dose calculation results. Therefore, when determining the maximum diet of a representative individual, it is necessary to combine the influence of each food on the dose calculation results. Currently, there is no A Unified Statistical Method for Representative Personal Recipes

[0003] In the current survey of residents’ recipes for environmental impact assessment of nuclear facilities, there is controversy and confusion about the selection method of representative personal recipes. It cannot reflect the actual and representative food consumption situation of the residents around the factory site very well, so that the deviation of the individual dose evaluation of the residents in the environmental impact assessment is relatively large

Images