标题: | Deriving landslide dam geometry from remote sensing images for the rapid assessment of critical parameters related to dam-breach hazards |
作者: | Dong, Jia-Jyun Lai, Po-Jung Chang, Chung-Pai Yang, Sheng-Hsueh Yeh, Keh-Chia Liao, Jyh-Jong Pan, Yii-Wen 防灾与水环境研究中心 Disaster Prevention and Water Environment Research Center |
关键字: | Landslide dam;Hazards;Remote sensing image;Digital terrain model |
公开日期: | 1-二月-2014 |
摘要: | Dam-breaches that cause outburst floods may induce downstream hazards. Because landslide dams can breach soon after they are formed, it is critical to assess the stability quickly to enable prompt action. However, dam geometry, an essential component of hazard evaluation, is not available in most cases. Our research proposes a procedure that utilizes post-landslide orthorectified remote sensing images and the pre-landslide Digital Terrain Model in the Geographic Information System to estimate the geometry of a particular dam. The procedure includes the following three modules: (1) the selection of the reference points on the dam and lake boundaries, (2) the interpolation of the dam-crest elevation, and (3) the estimation of dam-geometry parameters (i.e., the height, length, and width), the catchment area, the volumes of barrier lake and landslides dam. This procedure is demonstrated through a case study of the Namasha Landslide Dam in Taiwan. It was shown the dam-surface elevation estimated from the proposed procedure can approximate the elevation derived from profile leveling after the formation of the landslide dam. Thus, it is feasible to assess the critical parameters required for the landslide dam hazard assessment rapidly once the ortho-photo data are available. The proposed procedure is useful for quick and efficient decision making regarding hazard mitigation. |
URI: | http://dx.doi.org/10.1007/s10346-012-0375-z http://hdl.handle.net/11536/23825 |
ISSN: | 1612-510X |
DOI: | 10.1007/s10346-012-0375-z |
期刊: | LANDSLIDES |
Volume: | 11 |
Issue: | 1 |
起始页: | 93 |
结束页: | 105 |
显示于类别: | Articles |
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