IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i3d10.1007_s11069-024-06903-8.html
   My bibliography  Save this article

Multicollinearity and spatial correlation analysis of landslide conditioning factors in Langat River Basin, Selangor

Author

Listed:
  • Siti Norsakinah Selamat

    (Universiti Kebangsaan Malaysia)

  • Nuriah Abd Majid

    (Universiti Kebangsaan Malaysia)

  • Mohd Raihan Taha

    (Universiti Kebangsaan Malaysia)

Abstract

Landslides are complex geological phenomena that occurred caused of one or more conditioning factors. It can be difficult to analyse the landslide occurrence phenomena and produce landslide susceptibility mapping. However, selecting an appropriate contributing factor for the landslide model will generate valuable landslide susceptibility mapping. This paper assesses the potentiality and suitability of landslide conditioning factors for evaluating relationship landslide spatial analysis. Ten landslides contributing factors including elevation, slope, aspect, curvature, Topography Wetness Index (TWI), lithology, soil series, distance to drainage, land use, and rainfall were selected Multicollinearity analysis. Next, to analyse the landslide spatial relationship between its conditioning factors, Geographical Information System (GIS) approach ware used. The results showed the most distribution landslides occurred on the elevation range from 13.62 to 463.90 m, the slope between 16º to 25º, northeast direction for aspect, convex surface for curvature, 11 to 15 index TWI, within 200 m distance to the river, acid intrusive for lithology, and Steep land for soil series. Langat River Basin substantial rainfall, exceeding 2100 mm annually, exacerbates slope instability and contributes significantly to landslide frequency. By doing this, the present study contributes to identified appropriate conditioning factors and it is very important in future studies to develop landslide susceptibility analysis at Langat River Basin. The insights presented are invaluable for policymakers, land use planners, and disaster management agencies in implementing proactive measures to reduce the impact of landslides and enhance the region’s resilience to geological hazards.

Suggested Citation

  • Siti Norsakinah Selamat & Nuriah Abd Majid & Mohd Raihan Taha, 2025. "Multicollinearity and spatial correlation analysis of landslide conditioning factors in Langat River Basin, Selangor," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(3), pages 2665-2684, February.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:3:d:10.1007_s11069-024-06903-8
    DOI: 10.1007/s11069-024-06903-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06903-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-024-06903-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:121:y:2025:i:3:d:10.1007_s11069-024-06903-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.