Innovative approach for Landslide Risk Assessment: Dr. Mohammad Rahal's Contribution to CSEE 2024

Dr. Mohammad Rahal, coordinator of the Civil and Environmental Engineering Program, recently participated in the prestigious 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). He presented a study titled “Comprehensive Methodology for Landslide Risk Assessment Using Fuzzy Logic Systems: A Step-by-Step Approach” at the conference, which took place at the Imperial College London Conference Center on April 14, 2024.

Landslides are complex geological phenomena that necessitate accurate and reliable risk assessment methods. Traditional approaches, whether qualitative, semi-quantitative, or quantitative, often struggle with the inherent uncertainties associated with landslide risks, including data ambiguity and subjective expert opinions. This paper addresses these limitations by proposing an innovative approach using fuzzy logic systems (FLS). Utilizing fuzzy set theory and Mamdani-type inference systems, the framework evaluates landslide risk based on the probability of landsliding and potential adverse consequences.

The proposed fuzzy inference system is designed to manage uncertainties by offering a mathematical framework that transforms qualitative risk factors into quantitative risk assessments. Therefore, the ability of FLS to handle data ambiguity and subjective expert opinions through a systematic and quantitative approach represents a significant advancement in landslide risk assessment. This advancement holds promise for improving the accuracy and reliability of landslide risk assessments, ultimately contributing to better risk management and mitigation strategies.

Full article DOI: 10.11159/icgre24.152