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

Inactive Publication Date: 2016-08-10
NORTH CHINA INST OF AEROSPACE ENG
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Problems solved by technology

Most of these methods do not consider the nonlinear characteristics of the pollution source spectrum, and the identification results cannot truly reflect the corresponding relationship between the factor load and the pollution source spectrum.

Method used

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  • Soil heavy metal pollution source analysis method based on Bayes source identification
  • Soil heavy metal pollution source analysis method based on Bayes source identification
  • Soil heavy metal pollution source analysis method based on Bayes source identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[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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Abstract

The invention discloses a soil heavy metal pollution source analysis method based on Bayes source identification. According to the method, firstly, the Bayes method of the statistics technology is utilized to carry out pollution source identification, secondly, a principal component factor analysis model is utilized to calculate a pollution source contribution rate, and the contribution degree of a specific source to an acceptor can be obtained; problems that only categories of pollution sources having relatively large contribution to the environment acceptor can be obtained, the contribution degree of the specific pollution source to the environment acceptor can not be obtained, and practical guiding significance to pollution prevention and control work is little through the traditional pollutant source analysis technology in the prior art are solved, and reliable technical guarantee can be provided for the environment management department to respond to heavy metal pollution accidents and control pollution risks.

Description

technical field [0001] The invention relates to the technical field of analysis methods for heavy metal pollution sources in soil, in particular to a method for analyzing heavy metal pollution sources in soil based on principal component analysis of Bayesian source identification. Background technique [0002] Pollution source identification technology is a method to identify, analyze and evaluate the source of pollutants. The current pollution source identification technology can be roughly divided into three types: inventory analysis method, diffusion model and receptor model. The inventory analysis method is a source apportionment method to establish a list model by observing and simulating the source emissions, emission characteristics, and geographical distribution of pollutants; the diffusion model is a predictive model, which is input by inputting the emission data of each pollution source and Relevant parameter information is used to predict the spatial and temporal...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24155
Inventor 陈锋曹张伟张云峰刘晓立王红梅
Owner NORTH CHINA INST OF AEROSPACE ENG
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