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Pollution source identification method based on corresponding analysis and multiple linear regression

A multiple linear regression and pollution source technology, applied in the field of pollution source identification, can solve the problems that the identification results cannot truly reflect the corresponding relationship between factor loads and pollution source spectrum, and does not consider the nonlinear characteristics of pollution source spectrum, so as to achieve strong practicability and wide application value Effect

Pending Publication Date: 2021-06-11
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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  • Pollution source identification method based on corresponding analysis and multiple linear regression
  • Pollution source identification method based on corresponding analysis and multiple linear regression
  • Pollution source identification method based on corresponding analysis and multiple linear regression

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Embodiment Construction

[0033] Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] The purpose of the present invention is to provide a pollution source identification method based on correspondence analysis and multiple linear regression, using the correspondence analysis method to identify pollution sources, compound multiple linear regression method to calculate the contribution rate of pollution sources, and regard the factor load identification process as a non- The linear classification process is a multi-factor comprehensive classification problem and a pattern recognition process.

[0035] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with specific embodiments.

[0036] A method for identify...

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Abstract

The invention discloses an environment pollutant source analysis method based on corresponding analysis and multiple linear regression, and the method comprises the following steps: firstly, based on pollution source sample data, employing a corresponding analysis method to recognize a pollution source, and determining the number of main factors; secondly, calculating the contribution rate of the pollution source of the factor load by utilizing multiple linear regression, and realizing source analysis of the characteristic pollutants. According to the pollution source identification method based on corresponding analysis and multiple linear regression, the pollution source is identified by using a corresponding analysis method, the contribution rate of the pollution source is calculated by compounding a multiple linear regression method, and a factor load identification process is regarded as a nonlinear classification process which is a multi-factor comprehensive classification problem. The method is a mode recognition process, is high in practicability, has wide popularization and application values, and provides reliable technical guarantee for an environment management department to deal with pollution accidents and control pollution risks.

Description

technical field [0001] The invention relates to the technical field of pollution source identification, in particular to a pollution source identification method based on correspondence analysis and multiple linear regression. 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 changes of pollutants; the receptor model is a type of...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2135G06F18/2415
Inventor 陈锋曹张伟刘凤明周建华司秀荣丁玎孟凡生梅凯刘艳梅李国洪薛浩金永涛
Owner NORTH CHINA INST OF AEROSPACE ENG
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