Vol16 No.1: 95-107
【Title】Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility
【Author】Atsuko NONOMURA1*; Shuichi HASEGAWA1; Hideo MATSUMOTO2; Mari TAKAHASHI2; Mina MASUMOTO3; Kazuhito FUJISAWA2
【Addresses】1 Faculty of Engineering and design, Kagawa University, Takamatsu, 761-0396, Japan; 2 Institute of Education, Research and Regional Cooperation for Crisis Management Shikoku, Kagawa University, Takamatsu, 760-8521, Japan; 3 Faculty of Engineering, Graduate school of Engineering, Kagawa University, Takamatsu, 761-0396, Japan
【Corresponding author】Atsuko NONOMURA
【Citation】Nonomura A, Hasegawa S, Matsumoto H, et al. (2019) Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility. Journal of Mountain Science 16(1). https://doi.org/10.1007s11629-018-5098-8
【Abstract】To mitigate the damage caused by debris flows resulting from heavy precipitation and to aid in evacuation plan preparation, areas at risk should be mapped on a scale appropriate for affected individuals and communities. We tested the effectiveness of simply identifying debris-flow hazards through automated derivation of surface curvatures using LiDAR digital elevation models. We achieved useful correspondence between plan curvatures and areas of existing debris-flow damage in two localities in Japan using the analysis of digital elevation models (DEMs). We found that plan curvatures derived from 10m DEMs may be useful to indicate areas that are susceptible to debris flow in mountainous areas. In residential areas located on gentle sloping debris flow fans, the greatest damage to houses was found to be located in the elongated depressions that are connected to mountain stream valleys. Plan curvature derived from 5m DEM was the most sensitive indicators for susceptibility to debris flows.
【Keywords】Digitalelevationmodel; LiDAR; Grid-spacing; Debris flow; Geological hazard; Curvature