TY - JOUR
TI - A water quality prediction model for large-scale rivers based on projection pursuit regression in the Yangtze River
AU - Yi Ze-Ji
AU - Yang Xiao-Hua
AU - Li Yu-Qi
JN - Thermal Science
PY - 2022
VL - 26
IS - 3
SP - 2561
EP - 2567
PT - Article
AB - In recent decades, the Yangtze River Basin, which carries hundreds of  millions of people and a substantial economic scale, has been plagued by  water quality deterioration, threatening considerably sustainable  development. In this paper, a sample set is established based on the water  quality indexes of chemical oxygen demand and dissolved oxygen obtained by  week-by-week monitoring on the main stream of the Yangtze River in  Panzhihua, Yueyang, Jiujiang, and Nanjing from 2006 to 2018. The twelve  characteristic variables are selected by random forest technique, and the  week-by-week dynamic prediction models of chemical oxygen demand and  dissolved oxygen at each section of main stream are established by the  projection pursuit regression, which can effectively predict the water  quality dynamics of the Yangtze River main stream.