Abstract:An accurate assessment of debris-flow susceptibility is of great importance to the prevention and control of debris-flow disasters in mountainous areas. In this study, by applying the recursive feature elimination-random forest (RFE-RF) and the stacking ensemble learning including multiple heterogeneous learners, debris-flow the high accuracy of the debris-flow susceptibility is assessed. As indicated by the results, the very low and low susceptibility zones of debris-flow are mainly concentrated in the easter… Show more
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