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Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada

机译:使用定性启发式方法和Flow-R沿加拿大育空阿拉斯加公路走廊进行泥石流敏感性分析

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This research activity aimed at reducing risk to infrastructure, such as a proposed pipeline route roughly parallel to the Yukon Alaska Highway Corridor (YAHC), by filling geoscience knowledge gaps in geohazards. Hence, the Geological Survey of Canada compiled an inventory of landslides including debris flow deposits, which were subsequently used to validate two different debris flow susceptibility models. A qualitative heuristic debris flow susceptibility model was produced for the northern region of the YAHC, from Kluane Lake to the Alaska border, by integrating data layers with assigned weights and class ratings. These were slope angle, slope aspect, surficial geology, plan curvature, and proximity to drainage system. Validation of the model was carried out by calculating a success rate curve which revealed a good correlation with the susceptibility model and the debris flow deposit inventory compiled from air photos, high-resolution satellite imagery, and field verification. In addition, the quantitative Flow-R method was tested in order to define the potential source and debris flow susceptibility for the southern region of Kluane Lake, an area where documented debris flow events have blocked the highway in the past (e.g. 1988). Trial and error calculations were required for this method because there was not detailed information on the debris flows for the YAHC to allow us to define threshold values for some parameters when calculating source areas, spreading, and runout distance. Nevertheless, correlation with known documented events helped define these parameters and produce a map that captures most of the known events and displays debris flow susceptibility in other, usually smaller, steep channels that had not been previously documented.
机译:这项研究活动旨在通过填补地质灾害中的地球科学知识空白,来降低基础设施的风险,例如拟议中的与育空阿拉斯加公路走廊(YAHC)大致平行的管线。因此,加拿大地质调查局编制了包括泥石流沉积物在内的滑坡清单,随后将其用于验证两种不同的泥石流敏感性模型。通过整合具有指定权重和等级的数据层,为YAHC北部地区(从Kluane湖到阿拉斯加边界)建立了定性启发式泥石流敏感性模型。这些是坡度角,坡度,表面地质,平面曲率以及与排水系统的距离。该模型的验证通过计算成功率曲线来进行,该曲线显示出与磁化率模型和由航空照片,高分辨率卫星图像和现场验证所汇编的泥石流沉积物清单具有良好的相关性。此外,还对Flow-R定量方法进行了测试,以便确定Kluane湖南部地区的潜在来源和泥石流敏感性,该地区过去有文献记载的泥石流事件阻塞了高速公路(例如1988年)。此方法需要反复试验,因为没有有关YAHC泥石流的详细信息,以允许我们在计算源面积,散布和跳动距离时为某些参数定义阈值。尽管如此,与已知事件的关联性有助于定义这些参数,并生成一个可捕获大多数已知事件的图,并在以前未记录的其他通常较小的陡峭通道中显示泥石流敏感性。

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