Evaluation of Urban Air Quality Based on Entropy Weight Method

This is the authors' abstract. We don't add key points for this paper.

With the rapid development of China's economy and the continuous growth of population, environmental problems have become an important challenge to be solved urgently.In this study, entropy weight method is used to process the data in order to solve the common problem of multi-index evaluation of environmental problems. By calculating the information entropy between the indicators to determine the weights, avoid subjective errors, fully consider the relative importance of each indicator, and establish a mathematical model between the Air Quality index (AQI) and different pollutant concentrations.This paper describes in detail the selection of SO2, PM10, NO2, NO, O3, PM2.5 six indicators to evaluate the air quality status, and explains the source and characteristics of each indicator. Through data standardization and weight determination, the entropy weight method obtained the comprehensive score of the air quality of each city from 2013 to 2021, showing the air quality of different cities.Finally, the paper puts forward suggestions to improve air quality, including measures to reduce fossil fuel use, promote clean energy, and strengthen emission management and limits.