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
  • [1] Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality
    Achour, Yacine
    Saidani, Zahra
    Touati, Rania
    Pham, Quoc Bao
    Pal, Subodh Chandra
    Mustafa, Firuza
    Balik Sanli, Fusun
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (17)
  • [2] How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
    Achour, Yacine
    Pourghasemi, Hamid Reza
    [J]. GEOSCIENCE FRONTIERS, 2020, 11 (03) : 871 - 883
  • [3] Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria
    Achour, Yacine
    Boumezbeur, Abderrahmane
    Hadji, Riheb
    Chouabbi, Abdelmadjid
    Cavaleiro, Victor
    Bendaoud, El Amine
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2017, 10 (08)
  • [4] A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
    Althuwaynee, Omar F.
    Pradhan, Biswajeet
    Lee, Saro
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2016, 37 (05) : 1190 - 1209
  • [5] Effects of clay properties in the landslides genesis in flysch massif: Case study of Ain Draham, North Western Tunisia
    Anis, Zorgati
    Wissem, Gallala
    Riheb, Haddji
    Biswajeet, Pradhan
    Essghaier, Gaied Mohamed
    [J]. JOURNAL OF AFRICAN EARTH SCIENCES, 2019, 151 : 146 - 152
  • [6] [Anonymous], 2008, Landslides-disaster risk reduction
  • [7] ASTM International, 2002, STANDARD TEST METHOD, P1, DOI [DOI 10.1520/D4318-17E01, 10.1520/D079017.2]
  • [8] ASTM International, 2016, D427416 ASTM, DOI [10.1520/D4274-16, DOI 10.1520/D4274-16]
  • [9] ASTM International, 2021, C83715 ASTM INT, DOI [10.1520/C0837-15R21, DOI 10.1520/C0837-15R21]
  • [10] ASTM International, 2020, D308020 ASTM INT, DOI [10.1520/D3080-20, DOI 10.1520/D3080-20]