Forecasting municipal solid waste generation using prognostic tools and regression analysis
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- 作者：Cristina Ghineaa ; b ; cristina.ghinea@fia.usv.ro" class="auth_mail" title="E-mail the corresponding author ; cbghinea@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; Elena Niculina Drăgoic ; elena.dragoi@tuiasi.ro" class="auth_mail" title="E-mail the corresponding author ; Elena-Diana Comăniţăb ; d ; ed.comanita@tuiasi.ro" class="auth_mail" title="E-mail the corresponding author ; Marius Gavrilescue ; mariusgav@tuiasi.ro" class="auth_mail" title="E-mail the corresponding author ; Teofil Câ ; mpeana ; f ; Teofil.Campean@rondo-ganahl.com" class="auth_mail" title="E-mail the corresponding author ; Silvia Curteanuc ; scurtean@ch.tuiasi.ro" class="auth_mail" title="E-mail the corresponding author ; Maria Gavrilescub ; g ; mgav@tuiasi.ro" class="auth_mail" title="E-mail the corresponding author ; mgav_ro@yahoo.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Modeling ; Prognosis ; Regression ; Software ; Solid waste ; Trend analysis
- 刊名：Journal of Environmental Management
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：182
- 期：Complete
- 页码：80-93
- 全文大小：3106 K
文摘
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Waste Prognostic Tool, regression analysis, time series analysis forecast municipal solid waste.
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MSW generation was predicted using regression and trend analysis.
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Population aged 15–59 years and total MSW strongly influences the results.
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Biodegradable waste will continue to be the highest percentage fraction of the MSW.