Comprehensive Assessment Grade of Air Pollutants based on Human Health Risk and ANN Method

China has currently established a single index method to assess ambient air quality based on human health. However, there have no unified standards in comprehensive assessment methods. In order to solve this problem, we tried to explore a comprehensive assessment method based on human health risk by using AQI grading standard. By using sorting algorithm and RBF model of ANN method provided by MATLAB tools, we assessed air quality of six districts in Beijing 2013 to 2014. Firstly, Gauss function was chosen to be transfer function of hidden layer in RBF network. Secondly, extended samples obtained by interpolation method were used to train RBF network. Thirdly, a classified assessment results were output by RBF network. Results showed RBF network get a good effects on classified evaluation, it enhanced the information resolution of pollutants and helps understanding the real effect of pollutants on human health. According to the assessment results, we divided comprehensive assessment grade into five grades, which was lower by one grade than AQI.