期刊
ENVIRONMENTAL GEOLOGY
卷 41, 期 7, 页码 765-775出版社
SPRINGER
DOI: 10.1007/s002540100440
关键词
favorability functions; integration modeling; landslide hazard; spatial database
A case study is presented in which different probabilistic prediction models (Bayesian probability, fuzzy logic and, or, sum, product, gamma operations, and certainty factors) are used to produce landslide hazard maps for a hilly and mountainous region in the northern Apennines, Italy. Seven data layers are exploited to detect most vulnerable areas: lithology, distance from the geological lineaments, annual rainfall amount, land cover type, topographic slope and aspect, and the distance from hydrographic network segments, The results of the different predictions are compared using the prediction rate index and critically discussed, to evaluate the possibility of using readily available databases for land planning.
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