Method for monitoring concentration of atmospheric particulars based on support vector machine and tree leaf magnetism

A support vector machine and atmospheric particulate matter technology, which is applied in particle suspension analysis, measuring devices, scientific instruments, etc., can solve the problems of sparse distribution and limited number of atmospheric particulate matter monitoring stations

Inactive Publication Date: 2018-05-25
NANJING UNIV
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Problems solved by technology

[0005] For the sparse distribution and limited number of existing atmospheric particulate matter monitoring stations, the purpose of the present invention is to provide a method for simulating PM in the atmosphere in combination with support vector machines and everg

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  • Method for monitoring concentration of atmospheric particulars based on support vector machine and tree leaf magnetism
  • Method for monitoring concentration of atmospheric particulars based on support vector machine and tree leaf magnetism
  • Method for monitoring concentration of atmospheric particulars based on support vector machine and tree leaf magnetism

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with specific embodiments to better reflect the advantages of the present invention.

[0052] (1) Overview of the research area

[0053] Nanjing is the capital of Jiangsu Province, the second largest city in the Yangtze River Delta, and an important comprehensive industrial production base and transportation hub in China. The climate is a subtropical monsoon climate, and it is located in the hilly and mountainous area of ​​Ningzhen in the lower reaches of the Yangtze River. The Xianlin campus of Nanjing University is located in the Xincheng Science and Education Zone in the suburbs of Nanjing. Due to its proximity to Jiangbei and Chengbei Industrial Zones, its air quality is affected to some extent. Combined with actual monitoring conditions, sampling points for leaf samples are located in the Xianlin campus of Nanjing University (as attached figure 2 (Shown), Xianlin campus has an automatic ambi...

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Abstract

The invention relates to the technical field of a method for monitoring atmospheric particulars PM2.5 and PM10, in particular to a method for monitoring concentration of atmospheric particulars basedon a support vector machine and tree leaf magnetism. The method specifically comprises the following steps: (1) collecting tree leaf samples; (2) testing the parameters of the tree leaf magnetism; (3)analyzing the correlation between the concentration of the atmospheric particulates and the parameters of the tree leaf magnetism; (4) building a model of the support vector machine; (5) evaluating the error of the model. The method has the advantages that the method is simple and convenient; a PM2.5 and PM10 concentration simulation model is built by utilizing the magnetism features of the natural carrier (namely the tree leaves) and the support vector machine tool, a novel experience direction is provided for applying the environment magnetism to the simulation of time-space distribution ofurban atmospheric particulate pollution, and the important reference is provided for the identification and risk management of key pollution area of urban atmospheric particulates.

Description

Technical field [0001] The present invention relates to PM 2.5 And PM 10 The technical field of concentration monitoring methods specifically relates to atmospheric particulate matter concentration monitoring methods based on support vector machines and leaf magnetism. Background technique [0002] Atmospheric particulate matter is also called atmospheric aerosol, which refers to solid or liquid particulate matter dispersed in the air. It is one of the uncertain components of the atmosphere and an important form of air pollution. With the acceleration of urbanization and industrialization and the increase in the number of motor vehicles, the problem of air particulate pollution in my country has become increasingly serious. The environmental bulletins and online monitoring data in recent years show that atmospheric particulate matter has always been the primary pollutant affecting the air quality of many cities in my country. At present, the monitoring method of atmospheric part...

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Application Information

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IPC IPC(8): G01N15/06G06F17/50G06K9/62
CPCG01N15/06G01N2015/0046G06F2111/10G06F30/20G06F18/24765
Inventor 李慧明冷湘梓钱新王金花刘雪梅许悦
Owner NANJING UNIV
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