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<p>Researchers and industry practitioners have developed various methods for slope risk assessment, yet maintaining data integrity for key parameters remains a major challenge, often causing assessments to become inaccurate. Uncertainties and assumptions further push engineers toward qualitative, deterministic evaluations that may not reliably reflect actual slope behaviour. This study addresses these limitations by integrating geospatial data specifically photogrammetry into the Qualitative Risk Assessment framework and applying it to a case study at the Sultan Mahmud Power Station (Kenyir Dam), Malaysia an area historically affected by landslides. Modified parameters were incorporated into the Modified Landslide Hazard Risk Assessment and analysed using Geospatial Information System to generate geohazard maps representing spatial variability in hazard conditions. The findings show that the original LHRA contained inaccuracies in key geotechnical parameters such as cohesion (c′) and friction angle (φ), leading to inconsistent hazard classifications. The mLHRA improved parameter suitability for soil-dominated slopes, resulting in more realistic hazard ratings. The assessed slopes were classified as Low Hazard and Moderate Hazard, influenced mainly by slope history and drainage conditions. The integration of mLHRA with geospatial tools demonstrates a more reliable and spatially explicit approach to slope hazard evaluation, enhancing decision-making for slope management.</p>

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Geohazard Mapping for Slopes Using Geospatial Information Integrating Modified Land Hazard & Risk Assessment Tool

  • 期刊论文

  • 发表日期：

    2026年1月24日

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  • Ismacahyadi Bagus Mohamed Jais,
  • Muhammad Ammar Jakrin,
  • Haziyah Osman,
  • Abdul Samad Abdul Rahman,
  • Diana Che Lat

摘要

Researchers and industry practitioners have developed various methods for slope risk assessment, yet maintaining data integrity for key parameters remains a major challenge, often causing assessments to become inaccurate. Uncertainties and assumptions further push engineers toward qualitative, deterministic evaluations that may not reliably reflect actual slope behaviour. This study addresses these limitations by integrating geospatial data specifically photogrammetry into the Qualitative Risk Assessment framework and applying it to a case study at the Sultan Mahmud Power Station (Kenyir Dam), Malaysia an area historically affected by landslides. Modified parameters were incorporated into the Modified Landslide Hazard Risk Assessment and analysed using Geospatial Information System to generate geohazard maps representing spatial variability in hazard conditions. The findings show that the original LHRA contained inaccuracies in key geotechnical parameters such as cohesion (c′) and friction angle (φ), leading to inconsistent hazard classifications. The mLHRA improved parameter suitability for soil-dominated slopes, resulting in more realistic hazard ratings. The assessed slopes were classified as Low Hazard and Moderate Hazard, influenced mainly by slope history and drainage conditions. The integration of mLHRA with geospatial tools demonstrates a more reliable and spatially explicit approach to slope hazard evaluation, enhancing decision-making for slope management.