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灰色理论及改良方法对我国垃圾产量的预测
引用本文:陈国艳,张衍国,朱九龙,曾纪进.灰色理论及改良方法对我国垃圾产量的预测[J].中国环保产业,2011(6):51-54.
作者姓名:陈国艳  张衍国  朱九龙  曾纪进
作者单位:1. 清华大学,北京100084;福建省丰泉环保控股有限公司,福州350007
2. 清华大学,北京,100084
3. 福建省丰泉环保控股有限公司,福州,350007
摘    要:为了给城市环境规划提供理论依据,需要对城市生活垃圾产量进行预测,以期揭示其变化规律和发展趋势。本文对三种预测模型进行对比分析研究,并通过灰色关联度分析,选取与垃圾产量最为相关的5个因素,建立了包括多个因素指标的GM(1,1)预测方程的多元线性回归综合模型。该模型考虑了城市生活垃圾产量的主要影响因素,得到的拟合数据比较理想,预测模型和结果也更为合理可信。

关 键 词:城市生活垃圾  产量预测  灰色关联度  多元线性回归

Gray Theory and Improved Method on Forecast of Quantity of Refuse in China
CHEN Guo-yan,ZHANG Yan-guo,ZHU Jiu-long,ZENG Ji-jin.Gray Theory and Improved Method on Forecast of Quantity of Refuse in China[J].China Environmental Protection Industry,2011(6):51-54.
Authors:CHEN Guo-yan  ZHANG Yan-guo  ZHU Jiu-long  ZENG Ji-jin
Institution:CHEN Guo-yan1,2,ZHANG Yan-guo1,ZHU Jiu-long2,ZENG Ji-jin2(1.Tsinghua University,Beijing 100084,2.Fengquan Environmental Protection Company,Fuzhou 350007,China)
Abstract:In order to provide theoretical basis for urban environmental planning,it is needed to predict quantity refuse, so as to reveal the change rule and development trend.The paper puts forward three kinds of forecasting models,and a comparative analysis of the research.In consideration of various influence factors,GM(1,1) prediction equations of the multivariate linear regression model is build,including multiple factors index.Five factors relevant to quantity of refuse are selected.The main factors of this mod...
Keywords:municipal solid waste  forecast of quantity of refuse  gray coefficient  multivariate linear regression  
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