There are lots of influencing factors on the amount of urban domestic waste removal,and the re-search took the data of thirteen influencing factors on the amount of domestic waste removal in Hefei City as an example to effectively refine the main influencing factors.By using correlation coefficient ( CC ) , Grey Relational Analysis (GRA) and Lasso regression,the thirteen factors were analyzed,the CRITIC weighting method was chosen to perform a weighted arithmetic mean of the three analyses,and the weights were calculated to be 52.56％ for CC,8.57％ for GRA,and 38.87％ for Lasso.The CC-GRA-Lasso com-bination model was constructed,and the final refine obtained the top seven main factors as total retail sales of social sales goods,value added of tertiary industry,gas and natural gas,annual per capita disposable in-come,annual per capita consumption expenditure,GDP and total number of people at the end of the year.Based on the screened results,GA-BP neural network was used to predict the amount of urban domestic waste removal in Hefei City from 2022 to 2035 .The volume of domestic waste removal in Hefei City in 2035 will reach 4.4702 million tons.
municipal domestic wasteinfluencing factorsCC-GRA-Lasso combination modelweighted mean
维普
万方数据
