An active large rock slide in the Andean paraglacial environment: the Yerba Loca landslide, central Chile

Sepúlveda, Sergio A.; Alfaro, Alejandro; Lara, Marisol; Carrasco, Javiera; Olea-Encina, Paula; Rebolledo, Sofía; Garcés, Mario

doi:10.1007/s10346-020-01564-7

Cited by 13 publications

(7 citation statements)

References 40 publications

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“…This cluster provides the scientific community with resources to understand flow-like landslides through numerical and 3D models [ 181 ]. Models considering the smoothed particle hydrodynamics (SPH) [ 77 , 182 , 183 , 184 ] and the use of satellite images using methods such as InSAR [ 185 , 186 , 187 ]. These studies have allowed the modelling of submarine landslides [ 188 , 189 ] and landslides in landfills caused by seismic action [ 182 ].…”

Section: Resultsmentioning

confidence: 99%

Worldwide Research Trends in Landslide Science

Carrión-Mero

Montalván-Burbano

Morante-Carballo

et al. 2021

IJERPH

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Landslides are generated by natural causes and by human action, causing various geomorphological changes as well as physical and socioeconomic loss of the environment and human life. The study, characterization and implementation of techniques are essential to reduce land vulnerability, different socioeconomic sector susceptibility and actions to guarantee better slope stability with a significant positive impact on society. The aim of this work is the bibliometric analysis of the different types of landslides that the United States Geological Survey (USGS) emphasizes, through the SCOPUS database and the VOSviewer software, for the analysis of their structure, scientific production, and the close relationship with several scientific fields and its trends. The methodology focuses on: (i) search criteria; (ii) data extraction and cleaning; (iii) generation of graphs and bibliometric mapping; and (iv) analysis of results and possible trends. The study and analysis of landslides are in a period of exponential growth, focusing mainly on techniques and solutions for the stabilization, prevention, and categorization of the most susceptible hillslope sectors. Therefore, this research field has the full collaboration of various authors and places a significant focus on the conceptual evolution of the landslide science.

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Section: Resultsmentioning

confidence: 99%

Worldwide Research Trends in Landslide Science

Carrión-Mero

Montalván-Burbano

Morante-Carballo

et al. 2021

IJERPH

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“…However, in the last 60 years, the zone has experienced devastating landslides, which have had a significant economic and social impact on Chile as a nation [19,27,42]. Some registered events correspond to the 2013, 2016 and 2021 RILs [3,19,42]. The fast vertical changes of the 0 isotherms generate liquid precipitation over snow-covered soil, triggering landslides, mudflow and debris flow in the area [19,42].…”

Section: Study Zonementioning

confidence: 99%

“…The Central Andes (32-34 • S) experienced an intense activity of rainfall-induced landslides (RILs) associated with extreme hydrometeorological events [1][2][3]. In South America, RILs commonly affect communities socially and economically, limiting the development of populations in the mountain environment [4].…”

Section: Introductionmentioning

confidence: 99%

Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case

Maragaño-Carmona,

Fustos Toribio,

Descote

et al. 2023

Water

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The determination of susceptibility to rainfall-induced landslides is crucial in developing a robust Landslide Early Warning System (LEWS). With the potential uncertainty of susceptibility changes in mountain environments due to different precipitation thresholds related to climate change, it becomes important to evaluate these changes. In this study, we employed a machine learning approach (logistic models) to assess susceptibility changes to landslides in the Central Andes. We integrated geomorphological features such as slope and slope curvature, and precipitation data on different days before the landslide. We then split the data into a calibration and validation database in a 50/50% ratio, respectively. The results showed an area under the curve (AUC) performance of over 0.790, indicating the model’s capacity to represent prone-landslide changes based on geomorphological and precipitation antecedents. We further evaluated susceptibility changes using different precipitation scenarios by integrating Intensity/Duration/Frequency (IDF) products based on CHIRPS data. We concluded that this methodology could be implemented as a Rainfall-Induced Landslides Early Warning System (RILEWS) to forecast RIL occurrence zones and constrain precipitation thresholds. Our study estimates that half of the basin area in the study zone showed a 59% landslide probability for a return of two years at four hours. Given the extent and high population in the area, authorities must increase monitoring over unstable slopes or generate landslide early warning at an operational scale to improve risk management. We encourage decision-makers to focus on better understanding and analysing short-duration extreme events, and future urbanization and public infrastructure designs must consider RIL impact.

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“…Due to these indicators, tracking the changes and dynamics of the georelief is very demanding from both technical and financial aspects. However, progress in data collection using non-contact methods [1,2] enables more efficient, accurate, and simple terrain monitoring in alpine environments. The advantage of non-contact methods is that they can capture a large area of the Earth's surface relatively quickly with high accuracy and provide digital terrain models, point clouds, aerial photographs, or orthophoto maps [3,4].…”

Section: Introductionmentioning

confidence: 99%

Complex Methodology for Spatial Documentation of Geomorphological Changes and Geohazards in the Alpine Environment

Kovanič,

Peťovský,

Topitzer

et al. 2024

Land

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The alpine environment with a high degree of nature protection is characterized by complete non-intervention. The processes and phenomena occurring in it are exclusively of a natural origin. Related geohazards are threatening the safety of people’s movement. They arise as a result of a combination of meteorological, hydrological, and geological–morphological factors permanently operating in the country. Therefore, the prevention of fatal events is limited to monitoring and predicting changes in selected objects where we expect change. Changes in the shape and dimension, or the object’s deformation, can be documented using geodetic and photogrammetric measurements. Our research focuses on monitoring a rock talus cone in High Tatras, Slovakia, at an altitude of 1700 m above sea level (ASL), created mainly due to erosion and seasonal torrential rains. To monitor changes in selected objects, we used mass non-contact methods of terrestrial laser scanning (TLS), UAS photogrammetry based on the principle of structure-from-motion–multi-view stereo (SfM–MVS), and airborne laser scanning (ALS). From the selective measurement methods, spatial measurement by a total station (TS) and height measurement based on the principle of precise leveling were used in the monitoring deformation network on a stand-alone boulder. The research results so far analyze and evaluate the possibilities, limits, effectiveness, and accuracy of the measurement and data processing methods used. As a result, we propose a complex methodology for monitoring similar phenomena in alpine environments.

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An active large rock slide in the Andean paraglacial environment: the Yerba Loca landslide, central Chile

Cited by 13 publications

References 40 publications

Worldwide Research Trends in Landslide Science

Worldwide Research Trends in Landslide Science

Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case

Complex Methodology for Spatial Documentation of Geomorphological Changes and Geohazards in the Alpine Environment

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