Multiple Linear Regression Forecast Model of Municipal Solid Waste in Beijing Satellite Towns (KM201010016014).

摘要：

Based on the theory of multiple linear regression model, the municipal solid waste prediction of Beijing satellite towns was studied. The main factors of multiple linear regression forecast model of Beijing satellite waste output were defined through the research. They were gross population, gross domestic product, total social retail sales of consumer goods and gas rate. On this basis, a forecast model was built up and the accuracy of forecast model was calibrated. At the same time, the amount of waste produced for 2010 to 2014 were predicted. The prediction will provide guidance to the construction of municipal solid waste treatment in Beijing satellite towns.

作者: Ying LI Jing-yi LI Wei-ran LI

作者单位: School of Environment and Energy Engineering, Beijing university of civil engineering and architecture, Beijing, China

会议类型: 国际会议

会议名称: The Fifth International Conference on Waste Management and Technology(第五届固体废物管理与技术国际会议)

会议地点: 北京

会议语种:英文

页码: 60-64

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）