Mass-Movement Causes and Landslide Susceptibility in River Valleys of Lowland Areas: A Case Study in the Central Radunia Valley, Northern Poland

IF 2.4 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geosciences (Switzerland) Pub Date : 2023-09-13 DOI:10.3390/geosciences13090277
Anna Małka, Lesław Zabuski, Frieder Enzmann, Arkadiusz Krawiec
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Abstract

This work aims to analyse the mechanisms and factors contributing to shallow soil landslides in river valleys entrenched in lowlands on the example of the Central Radunia Valley. The combination of susceptibility analysis using geographic-information-system-based statistical models, field surveys, analysis of archival materials, and numerical modelling for the analysis of slope stability and hydrogeological processes allows for comprehensive landslide reconstruction, mass movement mechanism description, and an explanation of the role of triggering and causal factors. The results emphasise the need for cross-disciplinary studies of shallow soil landslides. The identification and prioritisation of the causal factors indicate that geomorphological conditions play a particularly important role. The current study shows that the greatest influence on landslide formation in the Central Radunia Valley is slope angle, as determined using a high-resolution digital elevation model. The slope angle factor is sufficient to produce a reliable susceptibility map (the areas under the curve of the success rate and prediction rate curves are 87.84% and 85.34%, respectively). However, numerical modelling of slope failure also clearly indicated that there was a significant influence of anthropogenic impacts on the landslide process. We determined that the main triggering factor causing the January 2019 Rutki landslide was related to the drilling of a borehole on 10 January 2019. The water used for drilling hydrated the soil and thus weakened the stability conditions.
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低海拔地区河谷山体滑坡的群体性运动成因及易感性——以波兰北部拉多尼亚中部河谷为例
本研究旨在以中央拉杜尼亚河谷为例,分析低地河谷浅层土壤滑坡的机制和影响因素。利用基于地理信息系统的统计模型进行敏感性分析、实地调查、档案资料分析以及边坡稳定性和水文地质过程分析的数值模拟相结合,可以进行全面的滑坡重建、体块运动机制描述以及对触发因素和因果因素的作用的解释。这些结果强调了对浅层土壤滑坡进行跨学科研究的必要性。成因的识别和排序表明,地貌条件在其中起着特别重要的作用。目前的研究表明,通过使用高分辨率数字高程模型确定的斜坡角度对中央Radunia山谷的滑坡形成影响最大。坡角因子足以生成可靠的敏感性图(成功率曲线下面积为87.84%,预测率曲线下面积为85.34%)。然而,边坡失稳的数值模拟也清楚地表明,人为影响对滑坡过程有显著影响。我们确定导致2019年1月Rutki滑坡的主要触发因素与2019年1月10日钻孔有关。钻井所用的水使土壤水化,从而削弱了稳定条件。
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来源期刊
Geosciences (Switzerland)
Geosciences (Switzerland) Earth and Planetary Sciences-Earth and Planetary Sciences (all)
CiteScore
5.30
自引率
7.40%
发文量
395
审稿时长
11 weeks
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