Fine granularity air pollutant concentration area estimation method based on spatial characteristics

Abstract

The invention relates to fine granularity area estimation of air pollutant, in particular to a fine granularity air pollutant concentration area estimation method based on spatial characteristics. The method comprises a preprocessing stage, a predicting stage and an estimating stage. In the preprocessing stage, mesh generation is carried out to obtain a train sample. In the predicting stage, a distance measure learning method is used for learning the mahalanobis distance function to find k areas in the shortest distance, and multiple linear regression training is carried out on characteristic vectors formed by the k areas. In the estimating stage, a multiple linear regression model obtained through training is used for estimating the air pollutant concentration in the areas. The method has the advantages that the air pollutant concentration of some small areas without air quality monitoring stations can be estimated, adjacent air quality monitoring stations are fully utilized, the k adjacent areas are introduced, the fine granularity change of the air pollutant concentration in space can be better captured, and the pollutant concentration of the current area can be estimated more accurately.

Description

technical field [0001] The invention relates to fine-grained area estimation of air pollutants, in particular to a method for estimating the concentration area of ​​fine-grained air pollutants based on spatial features. Background technique [0002] In recent years, air pollution has become more and more serious, and many cities often have smog weather, which has given birth to the strengthening of people's awareness of ecological and environmental protection, and air pollution has attracted more and more attention. In order to monitor air pollutants, the government has established several air quality monitoring points in cities, which are the basic platform for air quality control and reasonable assessment of air quality, and an infrastructure for urban air environmental protection. However, the establishment of an air quality monitoring station requires a certain amount of construction funds, floor space, manpower, etc., so each city has a limited number of air monitoring ...

AI Technical Summary

Problems solved by technology

However, if the method of estimating the concentration value is used, it may be estimated that the concentration of air pollutants in this area is 48. Although it is converted into an air quality grade, it is also A, but it is only 4 different from the real value of 52. It can be judged that this estimation result is accurate.

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