Nonnegative-constrain-factor pollution source apportionment method based on naive Bayesian source identification

A technology of non-negative constraints and analytical methods, which is applied in the field of pollution source analysis in water bodies, and can solve problems such as pollution

Inactive Publication Date: 2015-12-23
NORTH CHINA INST OF AEROSPACE ENG
View PDF0 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings of the traditional analysis technology of pollution sources in water bodies, aim at the pollution of polyc

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Nonnegative-constrain-factor pollution source apportionment method based on naive Bayesian source identification
  • Nonnegative-constrain-factor pollution source apportionment method based on naive Bayesian source identification
  • Nonnegative-constrain-factor pollution source apportionment method based on naive Bayesian source identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0085] The Songhua River is one of the seven major rivers in my country, and the total amount of water resources ranks third in the country. The inventor took the Harbin-Jiamusi section of the main stream of the Songhua River as the investigation area for polycyclic aromatic hydrocarbon pollution sources, and took the national-controlled or provincial-controlled monitoring sections as sampling sections. , which are Zhaoyuan, Lower Ash River Estuary, Upper Hulan River Estuary, Lower Mudanjiang River, Upper Jiamusi, Jiangnantun, Tongjiang, Xiaohei River and Jiejinkou. By measuring the content of 16 kinds of polycyclic aromatic hydrocarbons in water samples, the source apportionment of the pollution of polycyclic aromatic hydrocarbons in the Harbin-Jiamusi section of the main stream was carried out. Coal, traffic tunnels, wood burning and coke oven sources. According to the source analysis results, the planning, supervision and management of the industrial enterprises along the ri...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a nonnegative-constrain-factor pollution source apportionment method based on naive Bayesian source identification. The nonnegative-constrain-factor pollution source apportionment method is used for apportionment of polycyclic aromatic hydrocarbon pollution sources in a water body, and includes the eight steps of determining a surveyed region; collecting base data; surveying the degrees of influences of pollution source industry enterprises on the environment; building fingerprint spectrums of polycyclic aromatic hydrocarbon pollutants in various emission sources; treating the fingerprint spectrums to obtain pollution source receptor samples; training the pollution source receptor samples with a naive Bayesian source method; carrying out calculation with a nonnegative-constrain-factor analysis method; finally, calculating the pollution source contribution rates of factor loads for main pollution source factors with high factor scores through a trained classification model, and achieving source apportionment of the polycyclic aromatic hydrocarbon pollutants. By means of the method, the sources of the polycyclic aromatic hydrocarbon pollutants in the water body can be rapidly and accurately traced, and powerful technical supports can be provided for making drainage-basin polycyclic aromatic hydrocarbon pollution control countermeasures and improving the quality of the drainage-basin water environment.

Description

technical field [0001] The invention belongs to a method for analyzing pollution sources in water bodies, and in particular relates to a method for analyzing pollution sources based on non-negative constraint factors of naive Bayesian source identification. Background technique [0002] Source apportionment is a method to study the impact and effect of pollution sources on the surrounding environmental pollution. At present, there are few studies on pollution source apportionment. The main method of pollution source apportionment is to achieve qualitative comparison through graphical observation of source spectrum and factor loading, or to achieve semi-quantitative comparison through calculating the deviation between source spectrum and factor loading. Most of these methods do not consider the nonlinear characteristics of pollution source spectrum, and the analytical results cannot truly reflect the correspondence between factor loads and pollution source spectrum. [0003]...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/50
CPCY02E60/00
Inventor 陈锋张云峰刘晓立曹张伟
Owner NORTH CHINA INST OF AEROSPACE ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap