TITLE:
Advanced Models Applied for the Elaboration of Landslide-Prone Maps, a Review
AUTHORS:
Tèhrrie König, Hermann J. H. Kux, Alessandra C. Corsi
KEYWORDS:
Disaster, Shalstab, TRIGRS, Sinmap, Landslide Susceptibility
JOURNAL NAME:
International Journal of Geosciences,
Vol.13 No.3,
March
16,
2022
ABSTRACT: Landslides are a natural phenomenon that happens all
around the world. When happening in urban areas they become a disaster, disrupting the
lifestyle of a community or society. Human losses, social impacts, and
structural damage are some of the landslide’s effects. The current climate
variability shows an increase in extreme weather conditions, either with long
periods of drought or heavy and long-term rainfall. In Brazil, landslides are
one of the deadliest disasters; they are usually preceded and triggered by
heavy rainfall and already have affected more than 4 million people. Moreover,
with the population growth, areas with high declivities have been occupied and
turned into urban areas. Those people living there are vulnerable to suffering
from landslides, losing their homes, and in extreme cases, losing their life.
The identification and monitoring of landslide-prone areas are crucial to avoid
disasters. Several advanced models, with different approaches, were developed
to identify the landslide-prone areas. Aiming to decide the model that provides
more satisfactory results, this paper presents a literature review of the
applicability and limitations of three advanced models. The three models are Sinmap, Shalstab and TRIGRS. The analysis
determined that all three models are adequate for stability management
in slope areas. Moreover, TRIGRS results are more accurate than Shalstab, and
the Sinmap model provides an over-estimation of landslide-prone areas.