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
相关论文
共 50 条
  • [21] Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm
    Li, Yanyan
    Wang, Honggang
    Chen, Jianping
    Shang, Yanjun
    WATER, 2017, 9 (09)
  • [22] Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada
    Blais-Stevens, A.
    Behnia, P.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2016, 16 (02) : 449 - 462
  • [23] The application of improved efficiency coefficient method in debris flow warning with rock technology in civil engineering
    Hu, Xiang
    Huang, Guoyong
    RESEARCH ON MECHANICAL ENGINEERING, CIVIL ENGINEERING AND MATERIAL ENGINEERING, 2014, 454 : 149 - 152
  • [24] Case study: Mapping tsunami hazards associated with Debris flow into a reservoir
    Walder, JS
    Watts, P
    Waythomas, CF
    JOURNAL OF HYDRAULIC ENGINEERING, 2006, 132 (01) : 1 - 11
  • [25] Debris-Flow and Debris-Flood Susceptibility Mapping for Geohazard Risk Prioritization
    Sturzenegger, Matthieu
    Holm, Kris
    Lau, Carie-Ann
    Jakob, Matthias
    ENVIRONMENTAL & ENGINEERING GEOSCIENCE, 2021, 27 (02): : 179 - 194
  • [26] Debris-flow and debris-flood susceptibility mapping for geohazard risk prioritization
    STURZENEGGER M.
    HOLM K.
    LAU C.-A.
    JAKOB M.
    Environmental and Engineering Geoscience, 2021, 27 (02) : 179 - 194
  • [27] The Susceptibility Study of the Debris Flow in Liaoning Province
    Fu Jian-fei
    Leng Wen-fang
    Wang En-de
    Qi Wei
    ADVANCED TECHNOLOGY IN TEACHING - PROCEEDINGS OF THE 2009 3RD INTERNATIONAL CONFERENCE ON TEACHING AND COMPUTATIONAL SCIENCE (WTCS 2009), VOL 2: EDUCATION, PSYCHOLOGY AND COMPUTER SCIENCE, 2012, 117 : 963 - +
  • [28] DEBRIS FLOW SUSCEPTIBILITY MAPPING USING AN IMPROVED INFORMATION VALUE MODEL BASED ON A COMBINED WEIGHTING METHOD FOR JILIN PROVINCE, CHINA
    Chen, Junjun
    Cao, Chen
    Qin, Shengwu
    Peng, Shuaiying
    Ma, Qiang
    Liu, Xu
    Zhai, Jianjian
    FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (12B): : 9706 - 9716
  • [29] Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China
    Yongwei Li
    Linrong Xu
    Yonghui Shang
    Shuyang Chen
    Journal of Earth Science, 2024, 35 : 263 - 279
  • [30] Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China
    Li, Yongwei
    Xu, Linrong
    Shang, Yonghui
    Chen, Shuyang
    JOURNAL OF EARTH SCIENCE, 2024, 35 (01) : 263 - 279