A Decision Support System for the Evaluation of Eco-engineering Strategies for Slope Protection |
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Authors: | S B Mickovski L P H Van Beek |
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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 |
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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. |
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Keywords: | decision support system erosion expert systems knowledge base landslides project specific information |
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