The geoenvironmental factors influencing slope failures in the Majerda basin, Algerian-Tunisian border

被引:4
作者
Arif, Ismail [1 ,2 ,7 ]
Hadji, Riheb [4 ,5 ,7 ]
Hamed, Younes [2 ,3 ,7 ]
Hamdi, Noureddine [1 ]
Gentilucci, Matteo [6 ]
Hajji, Soumaya [7 ,8 ,9 ]
机构
[1] Univ Gabes, Higher Inst Sci & Tech Waters Gabes ISSTEG, Gabes, Tunisia
[2] Univ Gafsa, Fac Sci Gafsa, Lab Applicat Mat Environm Water & Energy LAM3E, Gafsa 2112, Tunisia
[3] Univ Gafsa, Fac Sci Gafsa, Dept Earth Sci, Zarroug Gafsa, Tunisia
[4] Setif 1 Univ, Farhat Abbas Univ, Inst Architecture & Earth Sci, Dept Earth Sci, Setif, Algeria
[5] Univ Ferhat Abbas, Lab Appl Res Engn Geol Geotech Water Sci & Environ, Setif, Algeria
[6] Univ Camerino, Sch Sci & Technol, Geol Div, Camerino, Italy
[7] Int Assoc Water Resources Southern Mediterranean B, Gafsa, Tunisia
[8] Natl Sch Engineers, Water Energy & Environm Lab LR3E, BPW 3038, Sfax, Tunisia
[9] Univ Sfax, Fac Sci Sfax, Dept Earth Sci, Sfax, Tunisia
关键词
Landslides; Mediterranean region; GIS-based approach; Terrain instabilities; Geotechnical parameters; CLIMATE-CHANGE; SUSCEPTIBILITY ASSESSMENT; STABILITY ANALYSIS; NE ALGERIA; LANDSLIDE; GIS; MACHINE; REGION; CLASSIFICATION; MULTIVARIATE;
D O I
10.1007/s41207-023-00423-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In mountainous regions globally, landslides pose severe threats to both human lives and infrastructure, with the Mediterranean region, in particular, being highly susceptible to these destructive events that result in substantial damage to settlements and infrastructure. In this study, we employ a GIS-based approach to comprehensively characterize terrain instabilities along the Algerian-Tunisian border, recognizing the critical need for effective land planning and disaster mitigation strategies in this context. Our methodology integrates geological, geophysical, and geotechnical reconnaissance techniques and multi-criteria analysis, with a particular focus on geotechnical parameters. Our findings reveal significant slope instability within the study area; it is particularly concentrated in the mid-altitude slopes of the eastern basin, with high and very high susceptibility zones covering 20.89% of the study area. Validation of our model through ROC analysis demonstrates its high accuracy, with an area under the curve (AUC) value of 0.92. Crucially, slope gradients and precipitation emerge as key contributors to landslide occurrence, alongside Triassic lithofacies, which is a significant geological factor influencing susceptibility. These results emphasize the necessity of identifying high-landslide-susceptibility regions for sustainable land management and risk reduction, which will ultimately enhance the resilience of the studied region and mitigate the associated natural hazard risks.
引用
收藏
页码:355 / 376
页数:22
相关论文
共 77 条
  • [61] A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
    Quoc Bao Pham
    Achour, Yacine
    Ali, Sk Ajim
    Parvin, Farhana
    Vojtek, Matej
    Vojtekova, Jana
    Al-Ansari, Nadhir
    Achu, A. L.
    Costache, Romulus
    Khedher, Khaled Mohamed
    Duong Tran Anh
    [J]. GEOMATICS NATURAL HAZARDS & RISK, 2021, 12 (01) : 1741 - 1777
  • [62] Rahardianto T, 2017, AIP C P, V1857
  • [63] A review of statistically-based landslide susceptibility models
    Reichenbach, Paola
    Rossi, Mauro
    Malamud, Bruce D.
    Mihir, Monika
    Guzzetti, Fausto
    [J]. EARTH-SCIENCE REVIEWS, 2018, 180 : 60 - 91
  • [64] Slope Stability Study in Quarries by Different Approaches: Case Chouf Amar Quarry, Algeria
    Saadoun, Abderrazak
    Yilmaz, Isik
    Hafsaoui, Abdallah
    Hadji, Riheb
    Fredj, Mohamed
    Boukarm, Riadh
    Nakache, Radouane
    [J]. 5TH WORLD MULTIDISCIPLINARY CIVIL ENGINEERING-ARCHITECTURE-URBAN PLANNING SYMPOSIUM (WMCAUS), 2020, 960
  • [65] Rapid prediction of landslide dam stability using the logistic regression method
    Shan, Yibo
    Chen, Shengshui
    Zhong, Qiming
    [J]. LANDSLIDES, 2020, 17 (12) : 2931 - 2956
  • [66] Landslide susceptibility evaluation and hazard zonation techniques - a review
    Shano, Leulalem
    Raghuvanshi, Tarun Kumar
    Meten, Matebie
    [J]. GEOENVIRONMENTAL DISASTERS, 2020, 7 (01)
  • [67] Dendrogeomorphology of landslides: principles, results and perspectives
    Silhan, Karel
    [J]. LANDSLIDES, 2020, 17 (10) : 2421 - 2441
  • [68] Taib H., 2023, J UMM AL QURA U APPL, V10, P1, DOI [DOI 10.1007/S43994-023-00072-3, 10.1007/s43994-023-00072-3]
  • [69] Integrating Remotely Sensed and GIS Data for the Detailed Geological Mapping in Semi-Arid Regions: Case of Youks les Bains Area, Tebessa Province, NE Algeria
    Tamani, Farouk
    Hadji, Riheb
    Hamad, Amor
    Hamed, Younes
    [J]. GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2019, 37 (04) : 2903 - 2913
  • [70] Presentation and Analysis of a Worldwide Database of Earthquake-Induced Landslide Inventories
    Tanyas, Hakan
    van Westen, Cees J.
    Allstadt, Kate E.
    Jessee, M. Anna Nowicki
    Gorum, Tolga
    Jibson, Randall W.
    Godt, Jonathan W.
    Sato, Hiroshi P.
    Schmitt, Robert G.
    Marc, Odin
    Hovius, Niels
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE, 2017, 122 (10) : 1991 - 2015