This paper proposed the evaluation algorithm of the SSE model (Slope Stability Evaluation model) incorporating the ground characteristics of the steep slope composed of the shirasu deposit affected by the erosive collapse. In the SSE model, the causal factors, such as geographical information (GI) and satellite remote sensing (RS) data, are used to produce the slope stability evaluation map. In thus study, as the other causal factor, the “Natural Shirasu Stabilization Coefficient(NSSC)” was newly defined with respect to the ground condition. To evaluate the effectiveness of the NSSC, the following two cases were executed; Case-1) Using the NSSC, GI and RS data, Case-2) Using GI and RS data. As the results, through the quantification method type-II and type-III, it was indicated that the NSSC is useful causal factor for presuming the hazardous area. Furthermore, the difference map (termed DIF map) between two evaluation maps, based on Case-1 and Case-2, was provided. This DIF map and its interpretation are effective as the supporting information in making the prevention plans on the slope failure.
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