Fuzzy clustering analysis method-based method for determining critical rainfall threshold of landslide
A technology of fuzzy clustering analysis and fuzzy clustering, which is applied in database models, instruments, calculations, etc., can solve the problem of low accuracy and achieve the effect of avoiding misleading rate and enhancing threshold accuracy
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[0084] Step 1. Fuzzy clustering factor determination
[0085] On the basis of extensive field surveys, indoor comprehensive analysis, and references to domestic studies by Liu Xilin, Gong Xue, and Chen Wei, the DeFier method was used to conduct expert investigations for the purpose of determining the formation factors of landslides, and the fuzzy clustering results finally selected There are 10 factors in total as shown in Table 1. And according to the classification of importance, it is the first important (rainfall erosive force, solid material supply mode, total landslide area rate, regional climate type), the second important (structural characteristics, stratum lithology, ratio of valley density factor), The third is important (average slope slope, watershed area, unreasonable human activities). In the actual investigation, it was found that it is relatively difficult to obtain the values of the two surveys of regional climate type and unreasonable human activities, so...
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