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http://dx.doi.org/10.7843/kgs.2016.32.4.15

Rainfall Threshold (ID curve) for Landslide Initiation and Prediction Considering Antecedent Rainfall  

Hong, Moon-Hyun (Dept. of Civil and Environmental Engrg., Yonsei Univ.)
Kim, Jung-Hwan (Dept. of Civil and Environmental Engrg., Yonsei Univ.)
Jung, Gyung-Ja (HTTI, Korea Highway Corporation)
Jeong, Sang-Seom (Dept. of Civil and Environmental Engrg., Yonsei Univ.)
Publication Information
Journal of the Korean Geotechnical Society / v.32, no.4, 2016 , pp. 15-27 More about this Journal
Abstract
This study was conducted to suggest a landslide triggering rainfall threshold (ID curve) for landslide prediction by considering the effect of antecedent rainfall. 202 rainfall data including domestic landslide and rainfall records were used in this study. In order to consider the effect of antecedent rainfall, rainfall data were analyzed by changing Inter Event Time Definition (IETD) and IETD based ID curve were presented by regression analysis. Compared to the findings of the previous studies, the presented ID curve has a tendency to predict the landslides occurring at a relatively low rainfall intensity. It is shown that the proposed ID curve is appropriate and realistic for predicting landslides through the validation of proposed ID curve using records of landslides in 2014. Based on this analysis, it is found that the longer IETD, the greater the effect of antecedent rainfall, and the steeper the gradient of ID curve. It is also found that the rainfall threshold (intensity) is higher for the short period rainfall and lower for the long period rainfall.
Keywords
Rainfall threshold; Rainfall intensity; Rainfall duration; Antecedent rainfall; ID curve; Inter event time definition (IETD);
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Times Cited By KSCI : 7  (Citation Analysis)
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