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선행강우를 고려한 산사태 유발 강우기준(ID curve) 분석

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

  • 홍문현 (연세대학교 토목환경공학과) ;
  • 김정환 (연세대학교 토목환경공학과) ;
  • 정경자 (한국도로공사 도로교통기술원) ;
  • 정상섬 (연세대학교 토목환경공학과)
  • 투고 : 2016.01.22
  • 심사 : 2016.04.14
  • 발행 : 2016.04.29

초록

본 연구에서는 국내 산사태 발생을 예측하기 위하여 선행강우의 영향을 고려한 산사태 유발 강우기준(Intensity-Duration, ID curve)을 제안하였다. 1999년부터 2013년까지 국내에서 유발된 202개의 산사태에 대하여, 기상청 강우자료를 바탕으로 산사태 발생 시점 이전의 시강우량 데이터를 수집하고 분석하였다. 선행강우의 영향을 고려하기 위해 강우사상간 시간(Inter event time definition, IETD)을 6, 12, 24, 48, 72, 96시간으로 구분하고, 회귀분석을 통해 강우기준을 제안하였다. 국외의 산사태 유발강우기준과 제안된 유발강우기준을 비교하였으며, 선행강우에 대한 산사태 유발 강우기준의 변화를 분석하였다. 그 결과, 국내의 경우 비교적 낮은 강우강도에서 산사태가 유발되는 것으로 나타났으며, IETD가 증가할수록 산사태 유발강우기준의 기울기가 증가하는 경향이 나타났다. 따라서 단기간의 강우에 대해서는 산사태 유발강우기준(강우강도)이 높아지고, 장기간의 강우에 대해서는 낮아지는 것을 알 수 있었다. 2014년도에 국내에서 발생한 산사태 재해이력을 이용하여 검토한 결과, 본 연구에서 제안된 ID curve가 산사태 유발을 비교적 잘 예측할 수 있는 것으로 나타났다.

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.

키워드

참고문헌

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