Changchun Sewage Emissions Projections

摘要：

Principle Introduction of regression analysis, analysis of the impact factors of sewage emissions, establish the main factors of sewage emissions are non-agricultural population and the Engel coefficient , On historical data basis it establish regression equation. Through the correlation coefficient, the remaining variance and the F-test to determine the optimal linear regression equation, the use of this equation forecast the discharge volume of Changchun City in 2010 and 2015 was 190.919 million cubic meters and 168.877 million cubic meters.

关键词： multiple linear regression sewage emissions forecast test

作者: WU Haixia WEi Xindong CUI Jindan WANG Xiaoxuan

作者单位: Guangzhou City Construction College, Cuangzhou, China Jilin Institute of Architecture and Civil Engineering, Changchun, China

会议类型: 国际会议

会议名称: The 6th International Symposium of Asia Institute of Urban Environment(亚洲城市环境学会第六届国际会议)

会议地点: 长春

会议语种:英文

页码: 225-228

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）