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Contaminant source identification based on sensitivity analysis algorithm

Author(s): Qu Hongquan, Chang Haijuan

Accidental contamination events often threaten people’s health and life, and it is necessary to identify a contaminant source rapidly so that prompt actions can be taken. Therefore, it’s crucial to develop investigation about identification of sudden contaminant source and prediction of contaminants ’ harmfulness, which could help to improve the ability of enclosed environments to deal with sudden contaminant. Source location is the key to source identification. In this paper, a discrete concentration stochastic model was set up, moreover, an identification method based on Sensitivity Analysis Algorithm (SAA) was developed to locate a source position and estimate its emitting strength. The proposed method could identify the source position by estimating its initial emission time and approximate strength. Numerical simulations are conducted to identify the position of a source with continuous emission

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