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

A PM2.5 and kriging model technology, applied in computing, special data processing applications, instruments, etc., can solve the problem of low estimation accuracy of ground PM2.5, and achieve the effect of improving estimation accuracy

Active Publication Date: 2017-02-15
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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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-t

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

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Embodiment Construction

[0027] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0028] Aiming at the problem that the aforementioned existing spatial interpolation method has low estimation accuracy of ground PM2.5, the present invention is to establish PM2.5 data by adding different auxiliary variable data (such as meteorological parameters, DEM, land use parameters, etc.) information The multiple linear regression model between the data and the auxiliary variable data, and then by calculating the spatio-temporal variation function of the residual after the regression, select the spatio-temporal variance function model, according to the spatio-temporal variance function model, the PM2. .5 Observational data uses the space-time regression kriging model to estimate the ground PM2.5 concentration, which can improve the estimation accuracy of PM2.5.

[0029] Before explaining the present invention, the space-time regression ...

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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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Application Information

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IPC IPC(8): G06F19/00
Inventor 陈良富李荣陶明辉王子峰陶金花
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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