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Substance flows through the economy and environment of a region

Part I: Systems definition(ESPR 2 (2) 90–96 (1995) Part II: Modelling(ESPR 2 (3) 137–144 (1995)
  • Ester van der Voet
  • René Kleijn
  • Lauran van Oers
  • Reinout Heijungs
  • Ruben Huele
  • Paul Mulder
Article

Part I: Abstract

In the tradition of the study of materials flows through society, the Substance Flow Analysis (SFA) method is presented. SFA aims at providing the relevant information for a country’s overall management strategy regarding single substances or coherent groups of substances. This article is dedicated to the presentation of a threestep general framework for SFA-type studies, and elaborates on its first step the systems definition. Attention is given to the definition of the external and internal system boundaries, the categorization of the system’s elements, aspects of materials choice, time, and space, and how these depend on the aim of the conducted study. Moreover, a broader discussion is started on the need for standardization of materials flow studies in general.

Part II: Abstract

In the tradition of the study of materials flows through society, the Substance Flow Analysis (SFA) method and its software tool SFINX are presented. SFA aims at providing the relevant information for a country’s overall management strategy regarding single substances or coherent groups of substances. Three modelling techniques and their possibilities and limitations are discussed: Bookkeeping, static modelling, and dynamic modelling. The computer program SFINX can be used for varoius purposes: (1) to obtain an overview of stocks and flows of a substance in, out and through a nation’s economy and environment for a specific year, (2) to trace the origins of specific pollution problems, and (3) to estimate the effectiveness of certain abatement measures. Each application has its own requirements with regard to data and modelling.

Keywords

Waste Management Single Substance System Definition Coherent Group Material Choice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Ecomed Publishers 1997

Authors and Affiliations

  • Ester van der Voet
    • 1
  • René Kleijn
    • 1
  • Lauran van Oers
    • 1
  • Reinout Heijungs
    • 1
  • Ruben Huele
    • 1
  • Paul Mulder
    • 1
  1. 1.Center of Environmental ScienceLeiden UniversityRA LeidenThe Netherlands

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