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Articles | Volume X-3-2024
https://doi.org/10.5194/isprs-annals-X-3-2024-463-2024
https://doi.org/10.5194/isprs-annals-X-3-2024-463-2024
05 Nov 2024
 | 05 Nov 2024

Environmental critical thresholds based on statistical analysis for modelling landslide susceptibility in Continental Basaltic Provinces

Jennifer Fortes Cavalcante Renk, Tatiana Sussel Gonçalves Mendes, Silvio Jorge Coelho Simões, Marcio Roberto Magalhães de Andrade, Luana Albertani Pampuch Bortolozo, Adriano Martins Junqueira, and Melina Almeida Silva

Keywords: Natural Disasters, Landslides Susceptibility, Frequency Ratio, Pearson's Linear Correlation Coefficient, Continental Basaltic Provinces

Abstract. The study aims to estimate the environmental critical thresholds using statistical approaches to understand the landslide conditioning factors that can trigger landslides in the Continental Basaltic Provinces a landslide-prone area, using as reference the landslides that occurred in an extreme rainfall event. The study area is a region that was the scene of an extreme hydrological event in January 2017, with an accumulated volume of rain of 163.9 mm in 8 hours, causing a widespread event of shallow planar landslides with more than 400 scars detected. Hydrological, anthropic, geological, geomorphological, and topographical features of this region were analyzed considering landslides and non-landslides samples set, and their influence in the event was carried out using the Frequency Ratio method, followed by Pearson's Linear Correlation Coefficient and Linear Regression. The results showed that this process helped us to understand environmental critical thresholds based on classes of conditioning factors that have a greater influence on rainfall-triggered landslide occurrences and, consequently, higher predictive capacity in the landslide susceptibility models with the same geoenvironmental parameters which is a valuable insight for risk management.