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Related Experiment Videos

A decision support system for wet soil cleaning.

Peter Rem1, Marc Pruijn, Caroline van Hoek

  • 1p.c.rem@ta.tudelft.nl

Environmental Pollution (Barking, Essex : 1987)
|November 22, 2002
PubMed
Summary

New software predicts sand product quality from washing contaminated soil, dredging sludge, or breaker sand. It assesses reusability for construction materials with 80% accuracy, aiding sustainable resource management.

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Area of Science:

  • Environmental Engineering
  • Geotechnical Engineering
  • Sustainable Materials Science

Background:

  • Contaminated soil, dredging sludge, and breaker sand present disposal challenges.
  • Effective reuse of these materials as secondary resources requires accurate quality assessment.
  • Existing methods for predicting the quality of washed sand products are often limited.

Purpose of the Study:

  • To develop and validate software for predicting the characteristics and reusability of sand products from ex-situ washing.
  • To provide an assessment of residual contamination and engineering quality against construction material standards.
  • To rank potential applications based on treatment costs, recycled material volume, and environmental quality.

Main Methods:

  • Integration of soil cleaning expertise and unit process modeling.

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  • Software designed for the Dutch context using readily available data.
  • Flexibility in input data refinement, from pollution source identification to detailed particle size distribution.

    • Main Results:

    • The software achieved an 80% success rate in predicting the cleanability of 117 processed batches.
    • Predictions were accurate even with predominantly in-situ (less accurate) contamination data.
    • The system provides a clear assessment of sand product reusability and potential applications.

    Conclusions:

    • The developed software offers a reliable tool for assessing the quality and reusability of recycled sand products.
    • It supports informed decision-making for sustainable construction material utilization.
    • The system enhances the circular economy by facilitating the reuse of challenging waste streams.