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

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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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 evergreen leaf magnetic tests. 2.5 and PM 10 Concentration method, this method can use the model to simulate the PM in the atmosphere by collecting leaf samples in the target area and testing their magnetic parameters 2.5 and PM 10 Spatial Distribution of Concentration

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