title: Combination of material flow analysis and substance flow analysis: a powerful approach for decision support in waste management.
abstract: The novelty of this paper is the demonstration of the effectiveness of combining material flow analysis (MFA) with substance flow analysis (SFA) for decision making in waste management. Both MFA and SFA are based on the mass balance principle. While MFA alone has been applied often for analysing material flows quantitatively and hence to determine the capacities of waste treatment processes, SFA is more demanding but instrumental in evaluating the performance of a waste management system regarding the goals "resource conservation" and "environmental protection". SFA focuses on the transformations of wastes during waste treatment: valuable as well as hazardous substances and their transformations are followed through the entire waste management system. A substance-based approach is required because the economic and environmental properties of the products of waste management - recycling goods, residues and emissions - are primarily determined by the content of specific precious or harmful substances. To support the case that MFA and SFA should be combined, a case study of waste management scenarios is presented. For three scenarios, total material flows are quantified by MFA, and the mass flows of six indicator substances (C, N, Cl, Cd, Pb, Hg) are determined by SFA. The combined results are compared to the status quo in view of fulfilling the goals of waste management. They clearly point out specific differences between the chosen scenarios, demonstrating potentials for improvement and the value of the combination of MFA/SFA for decision making in waste management.
authors.affiliation: Faculty of Technical Sciences, Department of Environmental Engineering, University of Novi Sad, Serbia nemanjastanisavljevic@uns.ac.rs.
authors.forename: Nemanja
authors.initials: N
authors.lastname: Stanisavljevic
authors.affiliation: Institute for Water Quality, Resource and Waste Management, Vienna University of Technology, Austria.
authors.forename: Paul H
authors.initials: PH
authors.lastname: Brunner
mesh_terms: D003661:Decision Support Techniques; D008962:Models, Theoretical; D012037:Refuse Disposal; D055771:Serbia; D062611:Solid Waste / Q000032:analysis*; D018505:Waste Management / Q000379:methods*
chemical_list: D062611:Solid Waste
keywords: Material flow analysis; case study; decision support; scenario evaluation; substance flow analysis