Constraining Mean Landslide Occurrence Rates for Non-Temporal Landslide Inventories Using High-Resolution Elevation Data

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Journal of Geophysical Research: Earth Surface Pub Date : 2024-08-26 DOI:10.1029/2024JF007700
J. B. Woodard, S. R. LaHusen, B. B. Mirus, K. R. Barnhart
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Abstract

Constraining landslide occurrence rates can help to generate landslide hazard models that predict the spatial and temporal occurrence of landslides. However, most landslide inventories do not include any temporal data due to the difficulties of dating landslide deposits. Here we introduce a method for estimating the mean landslide occurrence rate of deep-seated rotational and translational slides derived solely from high-resolution (≤3 m) elevation data and globally available estimates of the diffusion coefficient for sediment flux. The method applies a linear diffusion model to the roughest landslide deposits until they reach a representative non-landslide roughness distribution. This estimates the time for a landslide deposit to be unrecognizable in high-resolution digital elevation data, which we term the mean lifetime of the landslide. Using the mean lifetime and number of landslides within an area of interest, we can estimate the mean occurrence rate of landslides over that domain. We validate this approach using a comprehensive temporal inventory of landslides in western Oregon created using age-roughness curves that are calibrated with high-resolution elevation data and radiocarbon data. We find good agreement between our diffusion method and the existing age-roughness-derived estimates, producing mean lifetimes of 4500 and 5200 years (4% difference), respectively. Hazard maps produced using the two methodologies generally agree, with the maximum differences in landslide probability reaching 0.1. Due to the relative abundance of high-resolution elevation data compared with age-dated landslides, our method could help constrain landslide occurrence rates in areas previously considered unfeasible.

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利用高分辨率高程数据约束非时空滑坡清单的平均滑坡发生率
限制滑坡发生率有助于生成滑坡危险模型,预测滑坡在空间和时间上的发生率。然而,由于难以确定滑坡沉积物的年代,大多数滑坡清单不包括任何时间数据。在此,我们介绍一种方法,用于估算深层旋转滑坡和平移滑坡的平均发生率,该方法仅从高分辨率(≤3 米)高程数据和全球可用的沉积物通量扩散系数估算值中得出。该方法将线性扩散模型应用于最粗糙的滑坡沉积物,直到它们达到具有代表性的非滑坡粗糙度分布。这样就可以估算出滑坡沉积物在高分辨率数字高程数据中无法识别的时间,我们称之为滑坡的平均寿命。利用平均寿命和相关区域内的滑坡数量,我们可以估算出该区域内滑坡的平均发生率。我们使用俄勒冈州西部的滑坡综合时间清单验证了这种方法,该清单使用年龄-粗糙度曲线创建,并通过高分辨率海拔数据和放射性碳数据进行校准。我们发现,我们的扩散方法与现有的年龄-粗糙度估算结果非常一致,得出的平均寿命分别为 4500 年和 5200 年(相差 4%)。使用两种方法绘制的危害图基本一致,滑坡概率的最大差异达到 0.1。由于高分辨率的海拔数据相对于有年代的滑坡数据较为丰富,我们的方法可以帮助限制以前被认为不可行的地区的滑坡发生率。
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来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
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