Landslide susceptibility mapping using GIS and weighted overlay method: a case study from North Jordan

被引:0
|
作者
Muheeb M. Awawdeh
Mohammad A. ElMughrabi
Mohammad Y. Atallah
机构
[1] Yarmouk University,Department of Earth and Environmental Sciences
来源
关键词
Landslides; Susceptibility mapping; GIS; Jordan;
D O I
暂无
中图分类号
学科分类号
摘要
Road instability along the Jerash–Amman highway was assessed using the weighted overlay method in Geographic Information System environment. The landslide susceptibility map was developed from nine contributing parameters. The map of landslide susceptibility was classified into five zones: very low (very stable), low (stable), moderate (moderately stable), high (unstable), and very high (highly unstable). The very high susceptibility and high susceptibility zones covered 15.14% and 31.81% of the study area, respectively. The main factors that made most parts of study area prone to landslides include excessive drainage channels, road cuts, and unfavorable rock strata such as marl and friable sandstone intercalated with clay and highly fractured limestone. Fracture zones are a major player in land instability. The moderate and high susceptibility zones are the most common in urban (e.g., Salhoub and Gaza camp) and agricultural areas. About 34% of the urban areas and 28.82% of the agricultural areas are characterized by the high susceptibility zone. Twenty percent of the Jerash–Amman highway length and 58% of the overall highway length are located in the very high susceptibility zone. The landslide susceptibility map was validated by the recorded landslides. More than 80 of the inventoried landslides are in unstable zones, which indicate that the selected causative factors are relevant and the model performs properly.
引用
收藏
相关论文
共 50 条
  • [1] Landslide susceptibility mapping using GIS and weighted overlay method: a case study from North Jordan
    Awawdeh, Muheeb M.
    ElMughrabi, Mohammad A.
    Atallah, Mohammad Y.
    ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (21)
  • [2] Landslide susceptibility mapping using GIS and weighted overlay method: a case study from NW Himalayas, Pakistan
    Muhammad Basharat
    Hamid Raza Shah
    Nasir Hameed
    Arabian Journal of Geosciences, 2016, 9
  • [3] Landslide susceptibility mapping using GIS and weighted overlay method: a case study from NW Himalayas, Pakistan
    Basharat, Muhammad
    Shah, Hamid Raza
    Hameed, Nasir
    ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (04)
  • [4] GIS based landslide susceptibility mapping and assessment using weighted overlay method in Wayanad: A part of Western Ghats, Kerala
    Arumugam, Thangavelu
    Kinattinkara, Sapna
    Velusamy, Sampathkumar
    Shanmugamoorthy, Manoj
    Murugan, Sakthivel
    URBAN CLIMATE, 2023, 49
  • [5] Potential landslide susceptibility mapping using weighted overlay model (WOM)
    Shit P.K.
    Bhunia G.S.
    Maiti R.
    Modeling Earth Systems and Environment, 2016, 2 (1)
  • [6] Landslide Susceptibility Mapping Using Weighted-Overlay Approach in Rangamati, Bangladesh
    Khatun, Mahmuda
    Hossain, A. T. M. Shakhawat
    Sayem, Hossain Md
    Moniruzzaman, Md
    Ahmed, Zia
    Rahaman, Khan Rubayet
    EARTH SYSTEMS AND ENVIRONMENT, 2023, 7 (01) : 223 - 235
  • [7] Landslide Susceptibility Mapping Using Weighted-Overlay Approach in Rangamati, Bangladesh
    Mahmuda Khatun
    A. T. M. Shakhawat Hossain
    Hossain Md. Sayem
    Md Moniruzzaman
    Zia Ahmed
    Khan Rubayet Rahaman
    Earth Systems and Environment, 2023, 7 : 223 - 235
  • [8] Landslide Susceptibility Mapping Using Averaged Weightage Score and GIS: A Case Study at Kuala Lumpur
    Mahmud, A. R.
    Awad, A.
    Billa, R.
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2013, 21 (02): : 473 - 486
  • [9] LANDSLIDE SUSCEPTIBILITY MAPPING USING GIS: A CASE STUDY ALONG BULGARIAN BLACK SEA COAST
    Berov, Boyko
    Nikolova, Nina
    Ivanov, Plamen
    Dobrev, Nikolai
    Krastanov, Miroslav
    Nankin, Rosen
    8TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOL. 1, 2020, : 287 - 296
  • [10] 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