One of the principal methods of zoning areas in terms of landslide susceptibility involves the analysis of the factors which contribute to their cause and location. These ‘indirect methods’ use either empirical rules to produce an algorithm which numerically reflects the susceptibility to landslipping or statistical analyses of causal variables which seek to optimise the differentiation between landslide and non-landslide areas. The paper presents a review of previously published indirect methods of landslide susceptibility assessment. The extent to which the models are able to predict known landslide locations are described. The main section of the paper is devoted to a comparative study of commonly used techniques using data sets produced as part of the Rhondda Valleys Landslip Potential Project (ref. 1,this Conference). Discriminant and logistic analyses, two regression type techniques, were compared with the landslip potential algorithm, which is empirically derived, using the same data sets of causal factors. The effectiveness of the techniques was compared by evaluating the extent to which they are capable of distinguishing between areas containing and not containing landslides.

  • INTRODUCTION

  • REVIEW OF SELECTED INDIRECT METHODS OF LANDSLIDE HAZARD ASSESSMENT

  • SELECTION AND DESCRIPTION OF STATISTICAL TECHNIQUES USED IN THIS STUDY

  • RESULTS OF STATISTICAL MODELS

  • ACKNOWLEDGEMENTS

  • REFERENCES

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