Collaborative Forecast of Air Quality Index Based on Multi-dimensional City Information: a Case Study of Beijing-Tianjin-Shijiazhuang
LIU Bingchun
ZHENG Hongmei
ZHANG Bin
Abstract：The improvement of air quality was an important issue to achieve collaborative development of Beijing,Tianjin and Hebei Province.Beijing,Tianjin and Shijiazhuang were selected as study objects in this paper.The collaborative AQI forecasting experiments were carried out using multi-dimensional city information.Experiment was divided into three parts,firstly one-dimensional city information was applied to predict AQI of the target city;secondly,the two-dimensional city information of target city and another city were applied to the prediction,and finally,the three-dimensional city information were selected to predict AQI of the target city.The results of experiments showed that the accuracy of AQI forecasting using multi-dimensional city information mostly could be improved.But the AQI forecasting accuracy of some city was not well,because of their strong synergy property.At the same time,it could be concluded that there would be some relations between the poor air quality of three cities and the heavy industry in Shijiazhuang.The poor air quality of the three cities should be improved by the industrial upgrading and adjustment.
Keywords：multi-dimensional city informationair quality indexcollaborative forecastsupport vector regression
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 9-13 )