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Source apportionment method for polycyclic aromatic hydrocarbon pollution in soil

A polycyclic aromatic hydrocarbon and pollution source technology, applied in the field of pollution source analysis, can solve problems such as affecting the analysis of pollution sources, complex analysis process, inconsistency, etc.

Inactive Publication Date: 2015-12-16
NORTH CHINA INST OF AEROSPACE ENG
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AI Technical Summary

Problems solved by technology

Its disadvantages are: (a) when one or more source tracers are not from the same type of pollution source, its application is limited; (b) it requires a large number of receptor samples, generally more than 50; ( c) In actual use, multivariate analysis techniques can only identify 5 to 8 pollution sources; (d) The factor loads and factor scores obtained by the model often have negative values, which is inconsistent with the actual situation and affects the analysis of pollution sources
The comprehensive method is to improve and improve the existing methods or to use two or more methods to realize a simpler and more accurate source apportionment method. Analysis method, the analysis process is complicated, and there are few applications at present

Method used

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  • Source apportionment method for polycyclic aromatic hydrocarbon pollution in soil
  • Source apportionment method for polycyclic aromatic hydrocarbon pollution in soil
  • Source apportionment method for polycyclic aromatic hydrocarbon pollution in soil

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Experimental program
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Embodiment

[0146] The first step is data preprocessing;

[0147] The second step is to determine the number of principal component factors;

[0148] The third step is factorization;

[0149] The fourth step, non-negative constraint factor rotation;

[0150] 10 sampling points were arranged in different areas of Yongqing County, Langfang City, and the surface layer (0-20cm) soil mixed samples within the range of 100m×100m were collected by the grid point method. After mixing evenly, 1kg was taken by quartering method and air-dried indoors. Afterwards, part of the soil samples were taken and ground by the quartering method, and passed through a 100-mesh sieve. After the samples were prepared, they were stored at -18°C for testing. Yongqing County, Langfang City contains five towns, namely: Yongqing Town, Hancun Town, Houyi Town, Bieguzhuang Town and Lilan Town. The results of blank analysis were all less than the detection limit; the precision and accuracy of blank standard addition wer...

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Abstract

The invention discloses a source apportionment method for polycyclic aromatic hydrocarbon pollution in soil, belonging to the technical field of source apportionment. The method is based on a positive definite matrix factor recognized by a BP artificial neural network, can rapidly and accurately trace back sources of pollutant emitting offensive odor, has wide popularization and application values and provides reliable technical support for an environment management department in coping with polycyclic aromatic hydrocarbon pollution accidents and controlling pollution risks.

Description

technical field [0001] The invention belongs to the technical field of pollution source analysis, and in particular relates to a method for analyzing polycyclic aromatic hydrocarbon pollution sources in soil based on positive definite matrix factorization of BP artificial neural network identification. Background technique [0002] Source apportionment is a method to study the impact and effect of pollution sources on the surrounding environmental pollution. The current pollution source apportionment techniques can be roughly divided into three types: inventory analysis, 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 pred...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N30/86G06N3/02
Inventor 陈锋张云峰曹张伟马青
Owner NORTH CHINA INST OF AEROSPACE ENG
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