Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria

被引:112
|
作者
Hadji, Riheb [1 ]
Boumazbeur, Abd Errahmane [2 ]
Limani, Yacine [1 ]
Baghem, Mustapha [1 ]
Chouabi, Abd el Madjid [3 ]
Demdoum, Abdeslem [1 ]
机构
[1] Farhat Abbas Univ, Setif, Algeria
[2] Chieckh Larbi Tebessi Univ, Tebessa, Algeria
[3] Badji Mokhtar Univ, Annaba, Algeria
关键词
SUSCEPTIBILITY; INVENTORY; RISK; BASIN; AREA;
D O I
10.1016/j.quaint.2012.11.027
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Landslides are the most common hazard in mountainous regions of northeast Algeria. In this study, landslide hazard zonation of Souk Ahras province was carried out using a Raster-based GIS and statistical processing. Landslide locations were defined from interpretation of aerial photographs and field surveys. Rotational, planar and complex landslides were identified. To reveal the controlling factors of landslides, a temporal distribution of 603 recognized landslides (1981-2011) is compared with the monthly precipitation variation, indicating a strong correlation between precipitation and landslide occurrence. The correlation between landslide and lithology, slope angle, and elevation shows the same results. Tabular data, maps and satellite images were collected, processed, and constructed into a spatial database in a GIS platform. The factors that influence landslide occurrence, such as slope angle, slope exposition and elevation were derived from the DEM; Lithology, soil deposits and faults were digitalized from the geologic maps; roads, streams and timber were extracted from Landsat image; precipitation was krigged from pluviometric measurement dataset Different classes of thematic layers were assigned. A corresponding rating value as attribute information and an attribute map was generated for each data layer in the GIS. Landslide hazard areas were assessed and mapped using the landslide occurrence and permanent factor maps, by applying a probabilistic method with a logistic regression approach. The results of the analysis were verified using landslides location map, compared with the probability model. The resulting map can be used to mitigate this hazard, and to plan land use and urbanization. (c) 2012 Elsevier Ltd and INQUA. All rights reserved.
引用
收藏
页码:224 / 237
页数:14
相关论文
共 50 条
  • [31] Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy
    Magliulo, Paolo
    Di Lisio, Antonio
    Russo, Filippo
    Zelano, Antonio
    NATURAL HAZARDS, 2008, 47 (03) : 411 - 435
  • [32] Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study
    Skilodimou, Hariklia D.
    Bathrellos, George D.
    Chousianitis, Konstantinos
    Youssef, Ahmed M.
    Pradhan, Biswajeet
    ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (02)
  • [33] ANTHROPOGENIC LANDFORM MODELING USING GIS TECHNIQUES CASE STUDY: VRANCEA REGION
    Ursu, Adrian
    Chelaru, Dan-Adrian
    Mihai, Florin-Constantin
    Iordache, Iulian
    GEOGRAPHIA TECHNICA, 2011, 6 (01): : 91 - 100
  • [34] Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study
    Hariklia D. Skilodimou
    George D. Bathrellos
    Konstantinos Chousianitis
    Ahmed M. Youssef
    Biswajeet Pradhan
    Environmental Earth Sciences, 2019, 78
  • [35] Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan
    Ahmad, Muhammad Nasar
    Shao, Zhenfeng
    Aslam, Rana Waqar
    Ahmad, Israr
    Liao, Ming
    Li, Xianyi
    Song, Yang
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, 36 (12) : 4041 - 4056
  • [36] Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan
    Muhammad Nasar Ahmad
    Zhenfeng Shao
    Rana Waqar Aslam
    Israr Ahmad
    Ming Liao
    Xianyi Li
    Yang Song
    Stochastic Environmental Research and Risk Assessment, 2022, 36 : 4041 - 4056
  • [37] Landslide susceptibility mapping using GIS and digital photogrammetric techniques: a case study from Ardesen (NE-Turkey)
    Ali Yalcin
    Fikri Bulut
    Natural Hazards, 2007, 41 : 201 - 226
  • [38] Landslide susceptibility mapping using GIS and digital photogrammetric techniques: a case study from Ardesen (NE-Turkey)
    Yalcin, Ali
    Bulut, Fikri
    NATURAL HAZARDS, 2007, 41 (01) : 201 - 226
  • [39] Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin, Arunachal Pradesh, India
    Pandey, Ashish
    Dabral, P. P.
    Chowdary, V. M.
    Yadav, N. K.
    ENVIRONMENTAL GEOLOGY, 2008, 54 (07): : 1517 - 1529
  • [40] ASSESSMENT OF DAM BATHYMETRY USING GIS AND GEOSTATISTICAL METHODS. CASE STUDY OF THE GHRIB DAM (ALGERIA)
    Benkaci, Souhila
    Remini, Boualem
    Checham, Salah Eddine
    GEOGRAPHIA TECHNICA, 2025, 20 (01): : 161 - 178