Applicability and performance of deterministic and probabilistic physically based landslide modeling in a data-scarce environment of the Colombian Andes
| Autor: | Oscar Santos Sánchez, María Fernanda Velásquez, Roberto J. Marin |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010506 paleontology
Receiver operating characteristic Probabilistic logic Geology Landslide Landslide susceptibility Hazard analysis Structural basin 010502 geochemistry & geophysics computer.software_genre 01 natural sciences Back analysis Metric (unit) Data mining computer 0105 earth and related environmental sciences Earth-Surface Processes |
| Zdroj: | Journal of South American Earth Sciences. 108:103175 |
| ISSN: | 0895-9811 |
| Popis: | Physically based models have been widely used around the world to study landslide occurrence. The accuracy in a physically based landslide susceptibility/hazard assessment depends mostly on the input parameters. In this research study, three physically based models' applicability and performance were assessed using deterministic and probabilistic approaches. It was carried out in a data-scarce environment: a tropical mountain basin of the Colombian Andes. TRIGRS, SLIP and Iverson models were applied with back analysis of the landslide events in the La Liboriana basin on May 18, 2015. The performance of the models was evaluated using ROC (receiver operating characteristic) analysis and %LRclass index. The results showed that the back analysis using landslide events could be a good alternative to define the input parameters for physically based models in data-scarce tropical mountain areas. The ROC analysis and %LRclass are considered useful techniques for assessing landslide modeling performance. The metric indices calculated should be seen as complementary information, and the drawbacks of these indices should be identified, as elucidated in this paper. |
| Databáze: | OpenAIRE |
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