Journal
JOURNAL OF HAZARDOUS MATERIALS
Volume 353, Issue -, Pages 300-311Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhazmat.2018.04.010
Keywords
Soil remediation; Multi-criteria decision making; Competence model; Grubbs criteria; MAHP method
Categories
Funding
- National Natural Science Foundation of China [41471258, 21506155, 21656001]
- Science and Technology Program of Tianjin, China [16YFXTSF00500]
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Soil remediation has been considered as one of the most difficult pollution treatment tasks due to its high complexity in contaminants, geological conditions, usage, urgency, etc. The diversity in remediation technologies further makes quick selection of suitable remediation schemes much tougher even the site investigation has been done. Herein, a sustainable decision support hierarchical model has been developed to select, evaluate and determine preferred soil remediation schemes comprehensively based on modified analytic hierarchy process (MAHP). This MAHP method combines competence model and the Grubbs criteria with the conventional AHP. It not only considers the competence differences among experts in group decision, but also adjusts the big deviation caused by different experts' preference through sample analysis. This conversion allows the final re mediation decision more reasonable. In this model, different evaluation criteria, including economic effect, environmental effect and technological effect, are employed to evaluate the integrated performance of re mediation schemes followed by a strict computation using above MAHP. To confirm the feasibility of this developed model, it has been tested by a benzene workshop contaminated site in Beijing coking plant. Beyond soil remediation, this MAHP model would also be applied in other fields referring to multi-criteria group decision making.
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