Method and system for estimating ground PM2.5 based on space-time regression Kriging model

Abstract

The invention provides a method and a system for estimating ground PM2.5 based on a space-time regression Kriging model. The method comprises the steps of re-sampling ground PM2.5 observation data of a to-be-estimated region to a created mesh, and performing matching, wherein the matching process comprises the steps of averaging the ground PM2.5 observation data monitored in the same day by all PM2.5 stations in a mesh unit corresponding to the to-be-estimated region in the created mesh, and then assigning the averaged data to the corresponding mesh unit; calculating an experimental variance function of a residual error according to the ground PM2.5 observation data of the matched to-be-estimated region, and determining a space-time variance function model according to the experimental variance function of the residual error; performing fitting on the space-time variance function model by adopting a least square method; and estimating a ground PM2.5 concentration value of the to-be-estimated region by adopting the space-time regression Kriging model according to a fitting result of the space-time variance function model. Through the method and the system, the PM2.5 estimation precision can be improved.

Description

technical field [0001] The invention relates to the technical field of aerosol monitoring, and more specifically, to a method and system for estimating ground PM2.5 based on a time-space regression kriging model. Background technique [0002] With the rapid development of the economy and the sharp increase of man-made harmful gases such as industrial activities and motor vehicle exhaust, the air quality continues to deteriorate. PM2.5 refers to particulate matter with an aerodynamic particle size of less than 2.5 microns in the air. Compared with large particle size particles, PM2.5 particle size is small, rich in a large amount of toxic and harmful substances, and has a long residence time in the atmosphere and a long transportation distance. Therefore, it has a great impact on the human body and the quality of the atmospheric environment. A large number of epidemiological studies have proved that there is a certain relationship between PM2.5 and asthma, respiratory infect...

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Problems solved by technology

[0005] In view of the above problems, the object of the present invention is to provide a method and system for estimating ground PM2.5 based on spatio-temporal regression kriging model, to solve the problem that the estimation accuracy of ground PM2.5 is not high by existing spatial interpolation methods

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