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

    for a different version of it.

    References listed on IDEAS

    as
    1. Jie Dou & Hiromitsu Yamagishi & Hamid Pourghasemi & Ali Yunus & Xuan Song & Yueren Xu & Zhongfan Zhu, 2015. "An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan," 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. 78(3), pages 1749-1776, September.
    2. Tharshini Murthy & Izham Mohamad Yusoff & Siti Hamsah Samsudin & Taksiah A. Majid & Ismail Ahmad Abir & Chan Huah Yong & Mohd Ashraf Mohamad Ismail & Mohd Ashraf Mohamad Ismail, 2023. "Geographical Information System (GIS)-Based Landslide Susceptibility Mapping in Malaysia: A Review of Past, Current and Future Trends," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 12, May.
    3. Syaidatul Azwani Zulkafli & Nuriah Abd Majid & Ruslan Rainis, 2023. "Spatial Analysis on the Variances of Landslide Factors Using Geographically Weighted Logistic Regression in Penang Island, Malaysia," Sustainability, MDPI, vol. 15(1), pages 1-26, January.
    4. Wei Xie & Wen Nie & Pooya Saffari & Luis F. Robledo & Pierre-Yves Descote & Wenbin Jian, 2021. "Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China," 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. 109(1), pages 931-948, October.
    5. Amit Bera & Bhabani Prasad Mukhopadhyay & Debasish Das, 2019. "Landslide hazard zonation mapping using multi-criteria analysis with the help of GIS techniques: a case study from Eastern Himalayas, Namchi, South Sikkim," 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. 96(2), pages 935-959, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
    2. Cong Quan Nguyen & Duc Anh Nguyen & Hieu Trung Tran & Thanh Trung Nguyen & Bui Thi Phuong Thao & Nguyen Tien Cong & Tran Phong & Hiep Le & Indra Prakash & Binh Thai Pham, 2025. "Predicting landslide and debris flow susceptibility using Logitboost alternating decision trees and ensemble techniques," 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(2), pages 1661-1686, January.
    3. Tahir Ali Akbar & Siddique Ullah & Waheed Ullah & Rafi Ullah & Raja Umer Sajjad & Abdullah Mohamed & Alamgir Khalil & Muhammad Faisal Javed & Anwarud Din, 2022. "Development and Application of Models for Landslide Hazards in Northern Pakistan," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    4. Abhik Saha & Vasanta Govind Kumar Villuri & Ashutosh Bhardwaj, 2022. "Development and Assessment of GIS-Based Landslide Susceptibility Mapping Models Using ANN, Fuzzy-AHP, and MCDA in Darjeeling Himalayas, West Bengal, India," Land, MDPI, vol. 11(10), pages 1-27, October.
    5. Siti Norsakinah Selamat & Nuriah Abd Majid & Mohd Raihan Taha & Ashraf Osman, 2022. "Landslide Susceptibility Model Using Artificial Neural Network (ANN) Approach in Langat River Basin, Selangor, Malaysia," Land, MDPI, vol. 11(6), pages 1-21, June.
    6. Senapati, Ujjal & Das, Tapan Kumar, 2024. "Delineation of potential alternative agriculture region using RS and AHP-based GIS techniques in the drought prone upper Dwarakeswer river basin, West Bengal, India," Ecological Modelling, Elsevier, vol. 490(C).
    7. Sankar Kumar Nath & Arnab Sengupta & Anand Srivastava, 2021. "Remote sensing GIS-based landslide susceptibility & risk modeling in Darjeeling–Sikkim Himalaya together with FEM-based slope stability analysis of the terrain," 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. 108(3), pages 3271-3304, September.
    8. M. P. Amarasinghe & S. A. S. Kulathilaka & D. J. Robert & A. Zhou & H. A. G. Jayathissa, 2024. "Risk assessment and management of rainfall-induced landslides in tropical regions: a review," 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. 120(3), pages 2179-2231, February.
    9. Xianyu Yu & Tingting Xiong & Weiwei Jiang & Jianguo Zhou, 2023. "Comparative Assessment of the Efficacy of the Five Kinds of Models in Landslide Susceptibility Map for Factor Screening: A Case Study at Zigui-Badong in the Three Gorges Reservoir Area, China," Sustainability, MDPI, vol. 15(1), pages 1-26, January.
    10. Peihui Lin & Naiyu Wang, 2024. "A data-driven approach for regional-scale fine-resolution disaster impact prediction under tropical cyclones," 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. 120(8), pages 7461-7479, June.
    11. Rodrigues, Eugénio & Gomes, Álvaro & Gaspar, Adélio Rodrigues & Henggeler Antunes, Carlos, 2018. "Estimation of renewable energy and built environment-related variables using neural networks – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 959-988.
    12. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," 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. 103(3), pages 2631-2689, September.
    13. Chuhan Wang & Qigen Lin & Leibin Wang & Tong Jiang & Buda Su & Yanjun Wang & Sanjit Kumar Mondal & Jinlong Huang & Ying Wang, 2022. "The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: a case study of Anhui Province in China," 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. 112(3), pages 1967-1988, July.
    14. Tamali Mondal & Soumya Dasgupta & Dinesh Chandra Bhatt & K. Ramesh, 2024. "Natural or man-made? Finding the drivers of forest fires within the protected area habitats: a case study from the lower Shivalik Landscape, Western Himalaya," 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. 120(8), pages 7765-7785, June.
    15. Fang Zou & Qingming Zhan & Weisi Zhang, 2018. "Quantifying the impact of human activities on geological hazards in mountainous areas: evidence from Shennongjia, China," 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. 90(1), pages 137-155, January.
    16. Jonmenjoy Barman & Brototi Biswas & K. Srinivasa Rao, 2024. "A hybrid integration of analytical hierarchy process (AHP) and the multiobjective optimization on the basis of ratio analysis (MOORA) for landslide susceptibility zonation of Aizawl, India," 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. 120(9), pages 8571-8596, July.
    17. Abhijith Ajith & Rakesh J. Pillai, 2025. "TRIGRS-FOSM: probabilistic slope stability tool for rainfall-induced landslide susceptibility assessment," 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 3401-3430, February.
    18. Rongwei Li & Shucheng Tan & Mingfei Zhang & Shaohan Zhang & Haishan Wang & Lei Zhu, 2024. "Geological Disaster Susceptibility Evaluation Using a Random Forest Empowerment Information Quantity Model," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    19. Deborah Simon Mwakapesa & Yimin Mao & Xiaoji Lan & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    20. Hazem Ghassan Abdo & Hussein Almohamad & Ahmed Abdullah Al Dughairi & Motirh Al-Mutiry, 2022. "GIS-Based Frequency Ratio and Analytic Hierarchy Process for Forest Fire Susceptibility Mapping in the Western Region of Syria," Sustainability, MDPI, vol. 14(8), pages 1-20, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.