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A new method for determination of most likely landslide initiation points and the evaluation of digital terrain model scale in terrain stability mapping

机译:确定最可能的滑坡始发点并评估地形稳定制图中数字地形模型规模的新方法

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This paper introduces a new approach for determining the most likelyinitiation points for landslides from potential instability mapped using aterrain stability model. This approach identifies the location with criticalstability index from a terrain stability model on each downslope path fromridge to valley. Any measure of terrain stability may be used with thisapproach, which here is illustrated using results from SINMAP, and fromsimply taking slope as an index of potential instability. The relativedensity of most likely landslide initiation points within and outside mappedlandslide scars provides a way to evaluate the effectiveness of a terrainstability measure, even when mapped landslide scars include run out zones,rather than just initiation locations. This relative density was used toevaluate the utility of high resolution terrain data derived from airbornelaser altimetry (LIDAR) for a small basin located in the Northeastern Regionof Italy. Digital Terrain Models were derived from the LIDAR data for arange of grid cell sizes (from 2 to 50 m). We found appreciable differencesbetween the density of most likely landslide initiation points within andoutside mapped landslides with ratios as large as three or more with thehighest ratios for a digital terrain model grid cell size of 10 m. This leadsto two conclusions: (1) The relative density from a most likely landslideinitiation point approach is useful for quantifying the effectiveness of aterrain stability map when mapped landslides do not or can not differentiatebetween initiation, runout, and depositional areas; and (2) in this studyarea, where landslides occurred in complexes that were sometimes more than100 m wide, a digital terrain model scale of 10 m is optimal. Digitalterrain model scales larger than 10 m result in loss of resolution thatdegrades the results, while for digital terrain model scales smaller than 10m the physical processes responsible for triggering landslides are obscuredby smaller scale terrain variability.
机译:本文介绍了一种新的方法,该方法可根据使用地形稳定性模型绘制的潜在不稳定性确定滑坡最可能的起始点。该方法根据从山脊到山谷的每个下坡路径上的地形稳定性模型,使用临界稳定性指数来识别位置。此方法可使用任何地形稳定性度量,此处使用SINMAP的结果进行说明,并仅将坡度作为潜在不稳定的指标。即使在测绘的滑坡疤痕不仅包括初始区域,而且测绘的滑坡疤痕包括耗尽区域时,在已测绘的滑坡疤痕内外的最可能的滑坡起始点的相对密度也可用来评估地形稳定性测度的有效性。此相对密度用于评估从机载激光测高仪(LIDAR)提取的位于意大利东北地区的小盆地的高分辨率地形数据的实用性。数字地形模型是根据LIDAR数据得出的,其网格范围为2至50 m。对于数字地形模型网格单元大小为10 m的地区,我们发现比例最大为3或更大,比例最高的滑坡内部和外部的最可能滑坡起始点的密度之间存在明显差异。这得出两个结论:(1)当测绘的滑坡没有或不能区分起爆,跳动和沉积区域时,最有可能的滑坡起始点方法的相对密度可用于量化地形稳定性图的有效性; (2)在此研究区域中,滑坡发生在有时超过100 m宽的复杂区域中,因此10 m的数字地形模型比例是最佳的。大于10 m的Digitalterrain模型比例尺会导致分辨率降低,从而降低结果的准确性;而小于10 m的Digital Terrain模型比例尺时,较小比例的地形变化会掩盖触发滑坡的物理过程。

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