Analysis of SO₂ Pollution in Baoding Based on MATLAB Grey Model

• Main Authors: Ying Xie, Wenjun Wang, Baochang Li, Zhiwei Zhao, Lei He, Yaxin Wang
• Format: Article
• Language: English
• Published: AIDIC Servizi S.r.l. 2017-07-01
• Series: Chemical Engineering Transactions
• Online Access: https://www.cetjournal.it/index.php/cet/article/view/1217

The purpose of this paper is to analyze the SO2 Pollution in Baoding based on the MATLAB grey model. The monitoring results of sulfur dioxide (SO2), nitrogen dioxide (NO2) and respirable particulate matter (PM10) were obtained at 5 monitoring sites in Baoding in 2011~2016. According to the national ambient air standard, a reasonable comprehensive evaluation of air quality in Baoding was made by using the weighted grey relational analysis model based on MATLAB. Judging from the weight of pollution factors in the model, sulfur dioxide (SO2) is the controlling factor of air quality in Baoding, and the weight of nitrogen dioxide (NO2) is gradually increasing. Based on the analysis data, the main sources of the three pollutants were analyzed. Then, the grey model is established according to the mass concentration of the main air pollutants, and the grey forecasting model is tested. The test results show that the model can be effectively applied to the prediction of ambient air quality. Based on the above finding, it is concluded that the environment quality in Baoding can be improved by effective governance.