Research on Data Calibration of Air Quality

Abstract

In recent years, the urban air pollution in our country has become more and more serious, which has aroused widespread concern of the general public and the scientific community. The micro air quality detector not only costs little, but also can real-time monitor the air quality of a certain area in a grid way, so it can be used as the supplement of national survey point data. Based on the canonical correlation analysis of the data, it is found that the concentration deviation of “two dust and four gas” is significantly related to the meteorological parameters, among which the concentration deviation of PM2.5, PM10, NO2 and O3 is greatly related to the factors of pressure and humidity, and it is also known that the correlation between concentration deviation and humidity is the largest. And the concentration deviation between self-built point and national survey point is modeled. The results of this study can provide a method for the completion of urban air quality data, and the research method can provide a reference for data mining.