Soil heavy metal pollution source analysis method based on Bayes source identification
An analysis method and technology of pollution sources, applied in the field of analysis of heavy metal pollution sources in soil, can solve the problems that the identification results cannot truly reflect the corresponding relationship between factor loads and pollution source spectra, and do not consider the nonlinear characteristics of pollution source spectra, etc., to achieve strong practicability and wide application Promoting the effect of app value
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[0049] Step 1: Taking the Sanhe area as the investigation area for heavy metal pollution
[0050] Step 2, the data comes from the surface soil, and the surface soil samples of 10 stations were collected with a sampler.
[0051] Step 3: According to the survey area, determine the heavy metals to be investigated as As, Hg, Cd, Cr, and Pb, and take a total of 10 monitoring points.
[0052] Step 4, see the following data analysis, in which data standardization processing and Bayesian analysis are completed with the help of SPSS statistical analysis software and programs edited by Matlab. The main analysis is as follows:
[0053] This data analysis mainly conducts Bayesian identification analysis on As, Hg, Cd, Cr, and Pb, and the results are as follows:
[0054] Take 30 sets of data from 4 sets of pollution source fingerprints within the range of 40% of the standard deviation for learning, training and testing of Naive Bayesian pattern recognition. The training samples and test s...
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