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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Research Article|
March 01 2006
A web-based decision support tool for groundwater remediation technologies selection
Olfa Khelifi;
1International Centre for Science and High Technology, United Nations Industrial Development Organization (ICS-UNIDO), AREA Science Park, Padriciano 99, 34012, Trieste, Italy
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
Tel: +39 040 9228 140, Fax: +39 040 9228 115; E-mail: [email protected]
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Andrea Lodolo;
Andrea Lodolo
1International Centre for Science and High Technology, United Nations Industrial Development Organization (ICS-UNIDO), AREA Science Park, Padriciano 99, 34012, Trieste, Italy
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
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Sanja Vranes;
Sanja Vranes
1International Centre for Science and High Technology, United Nations Industrial Development Organization (ICS-UNIDO), AREA Science Park, Padriciano 99, 34012, Trieste, Italy
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
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Gabriele Centi;
Gabriele Centi
1International Centre for Science and High Technology, United Nations Industrial Development Organization (ICS-UNIDO), AREA Science Park, Padriciano 99, 34012, Trieste, Italy
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
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Stanislav Miertus
Stanislav Miertus
1International Centre for Science and High Technology, United Nations Industrial Development Organization (ICS-UNIDO), AREA Science Park, Padriciano 99, 34012, Trieste, Italy
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
*AND Institut supérieur des Sciences Biologiques Appliquées de Tunis, 9 Rue Docteur Zouheir Safi, Tunis 1006 Tunisie
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Journal of Hydroinformatics (2006) 8 (2): 91–100.
Citation
Olfa Khelifi, Andrea Lodolo, Sanja Vranes, Gabriele Centi, Stanislav Miertus; A web-based decision support tool for groundwater remediation technologies selection. Journal of Hydroinformatics 1 March 2006; 8 (2): 91–100. doi: https://doi.org/10.2166/hydro.2006.010b
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