Pollution source identification method based on correlation coefficient and monitoring stationing method

Abstract

The invention discloses a pollution source identification method based on correlation coefficient. The pollution source identification method comprises two processes of database creating and identifying. The database creating process comprises the following steps of: configuring a sensor monitoring point; dividing a space region and supposing positions of unknown sources; stimulating releasing processes of the unknown sources; acquiring concentration information of all the released unknown sources; and creating a database of the positions and the concentration information the unknown sources. The identifying process comprises the following steps of: adopting concentration information relevancy matching and nearest neighbor rules, when real pollution occurs, finding out a position point with the largest relevancy in the database by a relation coefficient analysis method based on the concentration information of pollutant, and the position point is a pollution source releasing point. According to a monitoring stationing method of the pollutant, different stationing principles are adopted aiming at feature regions of strong and weak convective regions; compared with the prior art, according to the pollution source identification method based on the correlation coefficient, the identification efficiency and accuracy are improved, according to the monitoring stationing method of the pollutant, the number of stationed points is reduced, and the monitoring stationing method of the pollutant is the high efficient stationing method; and the foundation is established for the pollution source identification method provided by the invention.

Description

technical field [0001] The invention relates to the field of inverse problem source identification, in particular to the field of identification of release positions of unknown pollution sources in indoor spaces. Background technique [0002] The identification of unknown sources has been studied in the fields of heat transfer, groundwater pollution transmission, and air pollution transmission. With the outbreak of SARS and other epidemics and the leakage of harmful gases, the problem of indoor air pollution has been paid more and more attention. The identification of indoor pollutant release information has become the focus of research. Quickly and accurately determining the release information of pollution sources is important for effective Response measures to reduce personal injury and property loss are of great significance. [0003] There have been many studies on the identification of unknown indoor pollution sources. Sohn et al. (Reference [1]) and Sreedharan et al....

AI Technical Summary

Problems solved by technology

The above methods all use multi-region mathematical models when identifying pollutant release information, and the calculation accuracy is relatively rough, and only the macro information of pollutant release can be obtained.

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