Landslides - Investigation and Monitoring 2020
DOI: 10.5772/intechopen.89183
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Landslide Potential Evaluation Using Fragility Curve Model

Abstract: The geological environment of Taiwan mainly contains steep topography and geologically fragile ground surface. Therefore, the vulnerable environmental conditions are prone to landslides during torrential rainfalls and typhoons. The rainfallinduced shallow landslide has become more common in Taiwan due to the extreme weathers in recent years. To evaluate the potential of landslide and its impacts, an evaluation method using the historical rainfall data (the hazard factor) and the temporal characteristics of lan… Show more

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Cited by 3 publications
(5 citation statements)
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“…Factors that describe the environmental conditions and triggering behavior of landslides were usually used in the LSA method. The LSA-based models can be divided into qualitative and quantitative methods [1,2]. The approaches of statistical analysis, geotechnical engineering analysis (deterministic and probability), artificial intelligence [3][4][5][6][7][8][9], and data mining were commonly used for quantitative LSA modeling.…”
Section: Introductionmentioning
confidence: 99%
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“…Factors that describe the environmental conditions and triggering behavior of landslides were usually used in the LSA method. The LSA-based models can be divided into qualitative and quantitative methods [1,2]. The approaches of statistical analysis, geotechnical engineering analysis (deterministic and probability), artificial intelligence [3][4][5][6][7][8][9], and data mining were commonly used for quantitative LSA modeling.…”
Section: Introductionmentioning
confidence: 99%
“…The concept of the risk triangle, proposed by Crichton [16], including hazard, vulnerability, and exposure, is usually used to develop an LRA model, in which probability assessment is performed to describe the risk level. A recently developed landslide evaluation model using the landslide fragility curves (LFC) was a model of LRA [1,2,17]. LFC model used spatial statistics and GIS for data processing on the grid base.…”
Section: Introductionmentioning
confidence: 99%
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