Multi-source data-based quantitative risk analysis of road networks to slow-moving landslides

IF 6.9 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL
D. Peduto , G. Nicodemo , D. Luongo , L. Borrelli , D. Reale , S. Ferlisi , G. Fornaro , G. Gullà
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Abstract

The paper addresses the quantitative risk analysis for a state road crossing an area of southern Italian Apennines diffusively affected by slow-moving landslides. In this area, Palaeozoic gneissic rocks suffering from intense weathering processes, which produce complex and deep weathering profiles, are present, and this determines severe predisposing conditions to deep-seated slow-moving landslides. Although not directly threatening human lives, for years these slope instabilities have been causing damage and temporary traffic interruptions or limitations to many road sections. To pursue a sustainable landslide risk management, a method that fully exploits multi-disciplinary data consisting of geological-geomorphological features, geotechnical characterization of geomaterials, both conventional (i.e. GPS and inclinometer) and remote sensing (i.e. MT-DInSAR) displacement measurements, in-situ and virtual (i.e. Google Street View images) surveys, and probabilistic tools (i.e. fragility and vulnerability curves) is implemented. As a novelty, such a rich dataset allows overcoming some limitations of the (few) previous studies in the scientific literature on the analysis of the risk posed by slow-moving landslides to roads by exploiting i) the multi-temporal recording of the road damage to catch the response of the infrastructure (i.e. both the road pavement and the side retaining structures) with time, and ii) the association of the cumulative landslide-induced displacements with the corresponding damage in order to feed empirical forecasting tools for consequence analyses. The thorough knowledge of the slow-moving landslides and their interaction with the exposed roads are implemented within the proposed method to assess the direct economic losses in terms of repair costs, should no countermeasures or mitigation works be implemented in due time. Considering that the studied area resembles very typical conditions of inner roads in hilly and mountain areas of southern Italy, the method can represent a valuable tool for decision makers to prioritize money allocation for risk adaptation and mitigation actions for roads in similar geo-environmental contexts.
基于多源数据的道路网络对缓慢移动的滑坡的定量风险分析
本文对穿越意大利亚平宁山脉南部地区的国道进行了定量风险分析,该地区受到缓慢移动的山体滑坡的扩散影响。本区发育古生代片麻岩,风化作用强烈,风化剖面复杂,形成深部缓动滑坡的严重易发条件。虽然没有直接威胁到人类的生命,但多年来,这些斜坡的不稳定性已经造成了破坏,并造成了许多路段的暂时交通中断或限制。为了实现可持续的滑坡风险管理,采用了一种充分利用多学科数据的方法,包括地质地貌特征、地质材料的岩土特性、传统(即GPS和倾角仪)和遥感(即MT-DInSAR)位移测量、现场和虚拟(即谷歌街景图像)调查以及概率工具(即脆弱性和脆弱性曲线)。作为一种新事物,这样一个丰富的数据集可以克服以往科学文献中关于缓慢移动的山体滑坡对道路构成的风险分析的一些限制,方法是利用i)道路破坏的多时间记录来捕捉基础设施(即道路路面和侧面挡土结构)随时间的响应;ii)累积滑坡诱发位移与相应破坏的关联,以便为后果分析提供经验预测工具。在建议的方法内,全面了解缓慢移动的山体滑坡及其与暴露的道路的相互作用,以评估在修复费用方面的直接经济损失,如果没有及时实施对策或缓解工程。考虑到所研究的区域类似于意大利南部丘陵和山区内部道路的非常典型的条件,该方法可以作为决策者优先分配资金用于类似地质环境背景下道路的风险适应和缓解行动的宝贵工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Engineering Geology
Engineering Geology 地学-地球科学综合
CiteScore
13.70
自引率
12.20%
发文量
327
审稿时长
5.6 months
期刊介绍: Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.
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