作者: Min Seok Kim , Yuichi Onda , Jin Kwan Kim , Suk Woo Kim
DOI: 10.1016/J.QUAINT.2015.03.057
关键词: Friction angle 、 Landslide 、 Debris flow 、 Subsurface flow 、 Geomorphology 、 Digital elevation model 、 Weathering 、 Cohesion (geology) 、 Geology 、 Bedrock
摘要: Abstract Hillslope hydrology studies have shown that bedrock surface topography maybe the most important factor affecting subsurface flow, and soil thickness properties related to are factors in shallow landslide prediction. In this study, physically based H-slider (hillslope-scale landslide-induced debris flow risk evaluation) model was used evaluate effects of parameterisation reflecting depth on prediction accuracy. Two digital elevation models (DEMs; i.e. ground surface) three thicknesses (average thickness, weathered rock bedrock) physical parameters (cohesion internal friction angle) at a small hillslope site Jinbu, Kangwon Prefecture, eastern part Korean Peninsula, were considered. Each result simulated with evaluated by receiver operating characteristic (ROC) analysis for modelling The results ROC using DEM (GSTO) (BSTO) indicated accuracy higher GSTO compared BSTO. Moreover, highest all cases. These imply effect could be larger than thickness. Therefore, we suggest representing can improve prediction, which should contribute more accurately predicting landsides.