Title |
A Comparative Approach for Ranking Contaminated Sites Based on the Risk Assessment Paradigm Using Fuzzy PROMETHEE
|
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Published in |
Environmental Management, September 2009
|
DOI | 10.1007/s00267-009-9368-7 |
Pubmed ID | |
Authors |
Kejiang Zhang, Cheryl Kluck, Gopal Achari |
Abstract |
A ranking system for contaminated sites based on comparative risk methodology using fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) was developed in this article. It combines the concepts of fuzzy sets to represent uncertain site information with the PROMETHEE, a subgroup of Multi-Criteria Decision Making (MCDM) methods. Criteria are identified based on a combination of the attributes (toxicity, exposure, and receptors) associated with the potential human health and ecological risks posed by contaminated sites, chemical properties, site geology and hydrogeology and contaminant transport phenomena. Original site data are directly used avoiding the subjective assignment of scores to site attributes. When the input data are numeric and crisp the PROMETHEE method can be used. The Fuzzy PROMETHEE method is preferred when substantial uncertainties and subjectivities exist in site information. The PROMETHEE and fuzzy PROMETHEE methods are both used in this research to compare the sites. The case study shows that this methodology provides reasonable results. |
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Geographical breakdown
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Indonesia | 2 | 2% |
Brazil | 2 | 2% |
Serbia | 1 | 1% |
United States | 1 | 1% |
Unknown | 79 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 24% |
Student > Master | 15 | 18% |
Researcher | 7 | 8% |
Student > Doctoral Student | 7 | 8% |
Student > Bachelor | 6 | 7% |
Other | 16 | 19% |
Unknown | 14 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 20 | 24% |
Business, Management and Accounting | 10 | 12% |
Environmental Science | 9 | 11% |
Computer Science | 6 | 7% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 14 | 16% |
Unknown | 23 | 27% |