title: Forecasting municipal solid waste generation using prognostic tools and regression analysis.
abstract: For an adequate planning of waste management systems the accurate forecast of waste generation is an essential step, since various factors can affect waste trends. The application of predictive and prognosis models are useful tools, as reliable support for decision making processes. In this paper some indicators such as: number of residents, population age, urban life expectancy, total municipal solid waste were used as input variables in prognostic models in order to predict the amount of solid waste fractions. We applied Waste Prognostic Tool, regression analysis and time series analysis to forecast municipal solid waste generation and composition by considering the Iasi Romania case study. Regression equations were determined for six solid waste fractions (paper, plastic, metal, glass, biodegradable and other waste). Accuracy Measures were calculated and the results showed that S-curve trend model is the most suitable for municipal solid waste (MSW) prediction.
authors.affiliation: "Stefan cel Mare" University of Suceava, Faculty of Food Engineering, 13 Universitatii Street, 720229, Suceava, Romania; "Gheorghe Asachi" Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Environmental Engineering and Management, 73 Prof.Dr.Docent D. Mangeron Str., 700050, Iasi, Romania. Electronic address: cristina.ghinea@fia.usv.ro.
authors.forename: Cristina
authors.initials: C
authors.lastname: Ghinea
authors.affiliation: "Gheorghe Asachi" Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Chemical Engineering, 73 Prof.Dr.Docent D. Mangeron Str., 700050, Iasi, Romania. Electronic address: elena.dragoi@tuiasi.ro.
authors.forename: Elena Niculina
authors.initials: EN
authors.lastname: Drăgoi
authors.affiliation: "Gheorghe Asachi" Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Environmental Engineering and Management, 73 Prof.Dr.Docent D. Mangeron Str., 700050, Iasi, Romania; "Alexandru Ioan Cuza" University of Iasi, 11 Carol I Street, 700506, Iasi, Romania. Electronic address: ed.comanita@tuiasi.ro.
authors.forename: Elena-Diana
authors.initials: ED
authors.lastname: Comăniţă
authors.affiliation: "Gheorghe Asachi" Technical University of Iasi, Faculty of Automatic Control and Computer Engineering, Department of Computer Engineering, 27 Prof.Dr.Docent D. Mangeron Str., 700050, Iasi, Romania. Electronic address: mariusgav@tuiasi.ro.
authors.forename: Marius
authors.initials: M
authors.lastname: Gavrilescu
authors.affiliation: "Stefan cel Mare" University of Suceava, Faculty of Food Engineering, 13 Universitatii Street, 720229, Suceava, Romania; Rondocarton SRL, 2 Aviatorilor Street, 407042, Apahida, Cluj-Napoca, Romania. Electronic address: Teofil.Campean@rondo-ganahl.com.
authors.forename: Teofil
authors.initials: T
authors.lastname: Câmpean
authors.affiliation: "Gheorghe Asachi" Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Chemical Engineering, 73 Prof.Dr.Docent D. Mangeron Str., 700050, Iasi, Romania. Electronic address: scurtean@ch.tuiasi.ro.
authors.forename: Silvia
authors.initials: S
authors.lastname: Curteanu
authors.affiliation: "Gheorghe Asachi" Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Environmental Engineering and Management, 73 Prof.Dr.Docent D. Mangeron Str., 700050, Iasi, Romania; Academy of Romanian Scientists, 54 Splaiul Independentei, RO-050094, Bucharest, Romania. Electronic address: mgav@tuiasi.ro.
authors.forename: Maria
authors.initials: M
authors.lastname: Gavrilescu
mesh_terms: D003657:Decision Making; D005544:Forecasting / Q000379:methods*; D008962:Models, Theoretical; D011379:Prognosis; D012037:Refuse Disposal / Q000379:methods*; D012044:Regression Analysis; D012383:Romania; D062611:Solid Waste / Q000032:analysis / Q000706:statistics & numerical data*; D018505:Waste Management / Q000379:methods*
chemical_list: D062611:Solid Waste
keywords: Modeling; Prognosis; Regression; Software; Solid waste; Trend analysis