Spatial patterns of landslides in a modest topography of the Ozark and Ouachita Mountains, USA

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
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Abstract

Controls on landslides vary as a function of landscape and regional activity. For example, low-relief, woodland regions have slope gradients, soil types, and substrate lithologies that contrast with steeper mountainous regions prone to rock fall and debris flows. Similarly, regional variations in precipitation, earthquakes, and other impacts on landslide surfaces create regional variations in landslide properties. While the controls on landslide characteristics have been extensively studied for high-relief coastal and tectonically active regions, controls on low-relief landslides have received comparatively less attention. We focus here on a part of the Ozark and Ouachita Mountains in the US southern mid-continent to explore such characteristics of landslides and potential controls in low-relief regions. The area exhibits frequent landslides in soil-covered low-relief forested hillslopes. We evaluated the frequency-size scaling of landslides occurred during periods of different earthquake frequency and precipitation amount (pre- and post-2005). We also produced maps of landslide susceptibility based on random forest machine learning applied to remotely sensed data. We found that landslides are clustered mostly in upland hillslopes, and that small landslides dominate the area, quantified by a landslide frequency-size distribution fitting a double Pareto curve. Additionally, the overall landslide frequency, and potentially the porportion of smaller landslides relative to the larger ones, significantly increased after 2005, the period during which the area also experienced increased induced seismicity and extreme storm events. Approximately 94 % of historical landslides were within random-forest-classified high-landslide probability (probability > 0.5) zones, coinciding with moderate to steep (18° ± 9°) and convergent upland slopes underlain by shale and sandstone. Anomalously high frequency landslides appear to result from triggering by extreme weather, human-induced earthquake activity, and human-induced hillslope modification.

美国奥扎克山脉和瓦奇塔山脉适度地形中山体滑坡的空间模式
对山体滑坡的控制因地貌和区域活动而异。例如,低地势、林地地区的斜坡坡度、土壤类型和基质岩性与易发生落石和泥石流的陡峭山区形成鲜明对比。同样,降水、地震和其他对滑坡表面的影响的地区差异也会造成滑坡特性的地区差异。虽然对高褶皱沿海地区和构造活跃地区的滑坡特性控制进行了广泛研究,但对低褶皱滑坡的控制关注相对较少。在此,我们以美国南部中洲的奥扎克山脉和瓦奇塔山脉的一部分为重点,探讨低地表塌陷地区的塌陷特征和潜在的控制因素。该地区土壤覆盖的低地势森林山坡经常发生滑坡。我们评估了在不同地震频率和降水量时期(2005 年之前和之后)发生的滑坡的频率-规模比例。我们还根据应用于遥感数据的随机森林机器学习制作了滑坡易发性地图。我们发现,滑坡主要集中在高地山坡,小型滑坡在该地区占主导地位,滑坡频率-规模分布符合双帕累托曲线。此外,总体滑坡频率以及小型滑坡相对于大型滑坡的潜在比例在 2005 年后显著增加,在此期间,该地区还经历了诱发地震和极端风暴事件的增加。大约 94% 的历史滑坡都发生在随机森林分类的高滑坡概率(概率为 0.5)区域内,这些区域与页岩和砂岩覆盖的中等至陡峭(18° ± 9°)的会聚高地斜坡相吻合。异常高频率的滑坡似乎是由极端天气、人为地震活动和人为山坡改造引发的。
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来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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