Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility
Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility
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DOI：
10.1007/s11629-018-5098-8
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发表时间：
2019
影响因子：
2.5
通讯作者：
A. Nonomura;S. Hasegawa;Hideo Matsumoto;Mari Takahashi;Mina Masumoto;Kazuhito Fujisawa
中科院分区：
文献类型：
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作者：
A. Nonomura;S. Hasegawa;Hideo Matsumoto;Mari Takahashi;Mina Masumoto;Kazuhito Fujisawa
为了减轻强降雨造成的泥石流造成的破坏，并协助制定疏散计划，应以适合受影响个人和社区的比例绘制危险地区的地图。我们测试了通过使用LiDAR数字高程模型自动推导表面曲率来简单识别泥石流危险的有效性。我们利用数字高程模型(DEM)的分析，在日本两个地方实现了平面曲率和现有泥石流破坏面积之间的有用对应。我们发现，从10M数字高程模型得到的平面曲率可能有助于指示山区泥石流易发区。在位于缓坡泥石流扇区的居民区，房屋受损最大的地方是与山溪峡谷相连的拉长洼地。由5m DEM得到的平面曲率是泥石流易感性最敏感的指标。
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.