Decision support models for site remediation: an evaluation of industry practice in China

Na Song, Andrew Hursthouse*, Iain McLellan, Zhenghua Wang

*Corresponding author for this work

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Abstract

China is currently facing great challenges in preventing land from further contamination by industrial activity. We evaluate the current state of business activity supporting the prevention and control of soil pollution through good waste management to reduce further soil contamination. The focus is on understanding drivers to improve the development of business activity in both waste management and remediation sectors in China. The status of organizations which manage solid waste, industrial operations providing remediation, professional materials, equipment, and approaches to site management are highlighted. Using questionnaires and a limited number of follow up interviews we consulted with 107 remediation practitioners (including construction contracting workers, consultancy, equipment suppliers and government department employees) working across China. The results identified that the site risk assessment and the wider construction phases for site remediation are typically based on guidelines from government and/or local government. The most frequently used materials for solidification or stabilization during remediation are clay minerals. Local government funds financed most sites in remediation activities. Waste recycling would be a path to reduce the pollution and their application for remediation is possible. In addition to remediation methods, a strategic framework can be employed to provide decision support when assessing sites or projects decision making for remediation. The priorities for remediation highlight two types of soil use (arable land and land to construction) prioritized for remediation.
Original languageEnglish
Article number11811
Number of pages18
JournalSustainability
Volume14
Issue number19
DOIs
Publication statusPublished - 20 Sep 2022

Keywords

  • regulation of land remediation
  • solid waste management
  • land remediation industry
  • decision-making model

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