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A SYSTEMATIC APPROACH TO ESTIMATING THE 300-YEAR RUNOUT FOR DENSE SNOW AVALANCHES

机译:一种系统的方法来估算密集雪崩的300年跳动

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For residential zoning near a snow avalanche path in Canada, three zones are usually identified: Red (no new construction), Blue (restricted development) and White (unrestricted development). The Red-Blue boundary depends partly on the runout from a 300-year dense snow avalanche. This runout is estimated along the centerline of the path using up to four sources: historical records, trim lines in vegetation, statistical runout models, and dynamic runout models. The confidence in the estimated runout distance and return period for these sources vary. For example, the extreme runout position in a forested path can often be identified with high confidence based on obvious trim lines, however, even if the date of the last extreme event was known (e.g. 60 - 63 years ago), the confidence in the return period is low when it is based on a single event only. Traditionally, these estimates with different levels of confidence and return periods are combined with the consultant's expert knowledge. In the proposed approach McClung's (2000) recently validated Space-Time model is used to adjust the statistical runout estimate to a 300-year runout. The other runout estimates are extrapolated to 300-years with expert knowledge. The 300-year runout for a dense flow avalanche is then calculated as a confidence-weighted average. To compensate for high uncertainty, sometimes because runout estimates from less than four sources are available, the red-blue boundary can be extended down the path. An example is presented to illustrate the proposed method.
机译:对于加拿大雪崩路径附近的住宅区,通常会确定三个区域:红色(无新建筑),蓝色(受限制的开发)和白色(无限制的开发)。红蓝边界部分取决于300年密集雪崩的跳动。沿路径的中心线使用多达四个来源估算径迹:历史记录,植被中的修剪线,统计径迹模型和动态径迹模型。这些来源对估计跳动距离和返回周期的置信度有所不同。例如,通常可以根据明显的纵倾线以高置信度确定森林路径中的极端跳动位置,但是,即使已知最后一次极端事件的日期(例如60-63年前),如果仅基于单个事件,则返回时间很短。传统上,这些具有不同置信度和回报期的估计值与顾问的专业知识相结合。在提出的方法中,McClung(2000)最近验证的时空模型用于将统计偏差估算值调整为300年的偏差。其他跳动估计值可以利用专业知识推断到300年。然后,将密集流动雪崩的300年跳动计算为置信加权平均值。为了补偿高度不确定性,有时可以使用来自不到四个来源的跳动估算值,因此可以沿路径扩展红蓝色边界。给出一个例子来说明所提出的方法。

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