Research on calibration model of light scattering sensor based on random forest

Particle pollution has seriously affected the environment and human health. The monitoring of ambient air particles has become more normalized, and more and more cities are using micro online environmental air quality monitors as a supplement to existing national control stations. Now, high-precision β The Random forest model was established based on β-ray instrument, and the calibration of light scattering sensor was carried out. The correlation coefficient R2 increased from 0.77 before calibration to 0.97, and the relative expanded uncertainty of Random forest prediction results was 0.46%. The results indicate that studying the algorithm model can effectively reduce the measurement error of light scattering sensors, improve the accuracy and availability of micro station data.