Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study

被引:0
|
作者
Davide Vianello
Federico Vagnon
Sabrina Bonetto
Pietro Mosca
机构
[1] University of Torino,Department of Earth Science
[2] Politecnico di Torino,Department of Environment, Land and Infrastructure Engineering (DIATI)
[3] National Research Council (CNR),Institute of Geosciences and Earth Resources
来源
Landslides | 2023年 / 20卷
关键词
Rock Engineering System (RES); Debris flow susceptibility; Susceptibility mapping; Open source data;
D O I
暂无
中图分类号
学科分类号
摘要
The main purpose of the present study is to develop a debris flow susceptibility map of a mountain area (Susa Valley, Western Italian Alps) by using an upgraded version of the Bonetto et al. (Journal of Mountain Science 18, 2021) approach based on the Rock Engineering System (RES) method. In particular, the area under investigation was discretized in a 5 × 5-m grid on which GIS-based analyses were performed. Starting from available databases, several geological, geo-structural, morphological and hydrographical predisposing parameters were identified and codified into two interaction matrices (one for outcropping lithologies and one for Quaternary deposits), to evaluate their mutual interactions and their weight in the susceptibility estimation. The result for each grid point is the debris flow propensity index (DfPI), an index that estimates the susceptibility of the cell to be a potential debris flow source. The debris flow susceptibility map obtained was compared with those obtained from two expedited and universally recognized susceptibility methods, i.e. the Regional Qualitative Heuristic Susceptibility Mapping (RQHSM) and the Likelihood Ratio (LR). Each map was validated by using the Prediction Rate Curve method. The limitations and strong points of the approaches analysed are discussed, with a focus on the innovativeness and uniqueness of the RES. In fact, in the study site, the RES method was the most efficient for the detection of potential source areas. These results prove its robustness, cost-effectiveness and speed of application in the identification and mapping of sectors capable of triggering debris flow.
引用
收藏
页码:735 / 756
页数:21
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