Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Data reconciliation, structure analysis and simulation of waste flows: case study Vienna.

Thomas Matyus1, Andreas Gleiss, Karl Gruber

  • 1Institut für Okonometrie, Operations Research and System Theorie, Technische Universität Wien, Argentinierstr. 8/119, A-1040 Vienna, Austria. matyus@eos.tuwien.ac.at

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA
|May 13, 2003
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Medications That Regulate Pregnane X Receptor: A Systematic Review of Current Evidence.

Pharmacology research & perspectives·2026
Same author

Crystal Structure and Conformational Dynamics of N─N Bond-Forming Piperazate Synthase.

Chembiochem : a European journal of chemical biology·2026
Same author

Bruno Stankoff: advancing myelin repair in multiple sclerosis.

The Lancet. Neurology·2026
Same author

Live video versus audio-only emergency calls in simulated emergency medical dispatch: a randomized mixed-methods study.

BMC emergency medicine·2026
Same author

Canada invests in cancer prevention research.

The Lancet. Oncology·2026
Same author

Jordan launches new national cancer strategy.

The Lancet. Oncology·2026

This study presents a robust methodology for analyzing complex waste flow systems, even with limited data. It enhances data reliability and provides tools for insightful analysis and policy simulation.

Area of Science:

  • Environmental Science
  • Systems Engineering
  • Data Science

Background:

  • Effective management of complex waste flow systems necessitates systematic data handling and simulation capabilities.
  • Previous methodologies often struggle with incomplete or uncertain measurements in material flow analysis.

Purpose of the Study:

  • To present an enhanced methodology for modeling, identifying, analyzing, and simulating material flow systems with limited data.
  • To address challenges of missing data and measurement uncertainty in waste flow analysis.
  • To demonstrate the application of these tools using the waste flow system of Vienna.

Main Methods:

  • Implementation of a data reconciliation procedure to minimize flow uncertainty by exploiting structural information.
  • Integration of statistical tests for data compatibility checks against a priori information.

Related Experiment Videos

  • Utilization of origins and destinations analysis tools for deeper system insight.
  • Application of simulation tools for policy scenario evaluation.

    • Main Results:

    • The methodology effectively handles missing data and measurement uncertainty in material flow systems.
    • Data reconciliation and statistical tests improve the reliability of waste flow models.
    • Origins and destinations analysis provide a clearer understanding of system structure.
    • The Vienna waste flow system case study validates the practical application of the methodology.

    Conclusions:

    • The presented methodology provides a systematic and reliable approach for managing complex waste flow systems.
    • The tools enable robust data analysis, uncertainty reduction, and effective policy simulation.
    • Future research will focus on multi-quantity balancing and incorporating stock dynamics.