A web-based decision support tool for groundwater remediation technologies selection
Author(s) -
Olfa Khelifi,
Andrea Lodolo,
Sanja Vraneš,
Gabriele Centi,
Stanislav Miertuš
Publication year - 2006
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2006.010b
Subject(s) - environmental remediation , groundwater , multiple criteria decision analysis , remedial action , decision support system , groundwater remediation , credence , selection (genetic algorithm) , environmental planning , risk analysis (engineering) , computer science , environmental science , management science , engineering , business , operations research , data mining , artificial intelligence , ecology , geotechnical engineering , contamination , machine learning , biology
Groundwater remediation operation involves several considerations in terms of environmental, technological and socio-economic aspects. A decision support tool (DST) becomes therefore necessary in order to manage problem complexity and to define effective groundwater remediation interventions. CCR (Credence Clearwater Revival), a decision support tool for groundwater remediation technologies assessment and selection, has been developed to help decision-makers (site owners, investors, local community representatives, environmentalists, regulators, etc.) to assess the available technologies and select the preferred remedial options. The analysis is based on technical, economical, environmental and social criteria. These criteria are ranked by all involved parties to determine their relative importance for a particular groundwater remediation project. The Multi-Criteria Decision Making (MCDM) is the core of the CCR using the PROMETHEE II algorithm.
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