Abstract
Seven factors, including the maximum volume of once flow, occurrence frequency of debris flow, watershed area, main channel length, watershed relative height difference, valley incision density and the length ratio of sediment supplement are chosen as evaluation factors of debris flow hazard degree. Using support vector machine (SVM) theory, we selected 259 basic data of 37 debris flow channels in Yunnan Province as learning samples in this study. We create a debris flow hazard assessment model based on SVM. The model was validated though instance applications and showed encouraging results.
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Foundation item: Supported by the National Science Fund for Distinguished Young Scholars of China (40225004)
Biogrpahy: YUAN Lifeng(1978-), male, Ph. D. candidate, research direction: hydrology and soil erosion processes modeling.
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Lifeng, Y., Youshui, Z. Debris flow hazard assessment based on support vector machine. Wuhan Univ. J. Nat. Sci. 11, 897–900 (2006). https://doi.org/10.1007/BF02830184
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DOI: https://doi.org/10.1007/BF02830184