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A Decision Support System for the Evaluation of Eco-engineering Strategies for Slope Protection
Authors:S B Mickovski  L P H Van Beek
Institution:(1) LRBB, Domaine de l’Hermitage, 69, rte d’Arcachon, 33612 cedex, Cestas, France;(2) IBED – Physical Geography, University of Amsterdam, Nieuwe Achtergracht 166, NL 1018 Amsterdam, WV, The Netherlands;(3) Civil Engineering Division, University of Dundee, DD1 4HR, Scotland, UK
Abstract:A decision support system (DSS) has been developed to assist expert and non-expert users in the evaluation and selection of eco-engineering strategies for slope protection. This DSS combines a qualitative hazard assessment of erosion and mass movements with a detailed catalogue of eco-engineering strategies for slope protection of which the suitability is evaluated in relation to the data entered. The slope decision support system (SDSS) is a knowledge based DSS in which knowledge is stored in frames containing rules that can evaluate the available information for a project, stored as project specific information (PSI) in a data file. The advantages of such a system are that it accepts incomplete information and that the qualitative nature of the information does not instil the user with a sense of unjustified exactitude. By its multidisciplinary and progressive nature, the DSS will be of value during the initial stages of an eco-engineering project when data collection and the potential of different eco-engineering strategies are considered. The accent of the output of the DSS is on the application of eco-engineering strategies for slope protection as an environmentally-friendly solution aiding sustainable development. For its acceptance within the engineering community, the DSS needs to prove its predictive capacity. Therefore, its performance has been benchmarked against successful and unsuccessful cases of slope stabilisation using eco-engineering. The target audience and the areas of application of this DSS are reviewed and the strategies for further development in this area suggested.
Keywords:decision support system  erosion  expert systems  knowledge base  landslides  project specific information
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