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Etude et documents, CPDT 4. ], Namur Feltz, C. ; Cuvelier, M. & Schaar, C. (2004). Plan éolien wallon et Paysage. Les Cahiers de l’Urbanisme, 52, 15-23 Gamboa, G. & Munda, G. (2007). The problem of windfarm location: A social multi-criteria evaluation frameword. Energy Policy, 35, 1564-1583. Hansen, H. (2005). GIS-based Multi-Criteria Analysis of Wind Farm Development. Proceedings of the 10th Scandinavian Research Conference on Geographical Information Science (ScanGIS), pp. 75-85, ISBN: 91-7323-126-6, Stockholm, Sweden, 13-15 June 2005, Department of Planning and Environment, Stockholm.

4. Results A map summarizing all possible constraints relevant to wind farm set up in Wallonia has been drawn taking into account 40 criteria categorised into three constraint levels. 0 GHz), it takes 63 minutes to run a scenario involving all the 40 criteria are. e. areas and retrieving the results into the relational database. The creation of a diagnosis report for a specific site with 10 wind turbines requires a computing time of about 9 minutes. Figure 7 presents the composite map based on the criteria selected by the group of experts empowered by the regional authority for supervising the study.

R. (1974). Simulation: methodology and application in agricultural economics. Review of Marketing and Agricultural Economics, Vol. 42, No. 1, (March 1974) pp. ; Khalghani, J. & Partovi, M. (2005). A decision support system for post-emergence weed management in winter wheat, Proccedings of the 5th conference of the European Federation for Information Technology in Agriculture, 3rd World Congress on Computer in Agriculture and Natural Resources, pp. 63-66, Vila Real, Portugal, 25-28 July 2005 BCPC (2000).

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