Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2169-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-2169-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jun 2022
Research article |
| 28 Jun 2022
| 28 Jun 2022
Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes
Ivo Fustos-Toribio
CORRESPONDING AUTHOR
Department of Civil Engineering, University of La Frontera, Temuco, Chile
Nataly Manque-Roa
Faculty of Engineering and Sciences, Adolfo Ibáñez University, Santiago, Chile
Daniel Vásquez Antipan
Department of Civil Engineering, University of La Frontera, Temuco, Chile
Master of Engineering Sciences Program, Faculty of Engineering and Sciences, University of La Frontera, Temuco, Chile
Mauricio Hermosilla Sotomayor
Department of Civil Engineering, University of La Frontera, Temuco, Chile
Viviana Letelier Gonzalez
Department of Civil Engineering, University of La Frontera, Temuco, Chile
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Cited
19 citations as recorded by crossref.
- Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters O. Bayraktar & A. Mutlu https://doi.org/10.1007/s11869-024-01573-8
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. https://doi.org/10.1016/j.jsames.2023.104631
- A case study of a giant reactivated landslide based on NPR anchor cable Newton force early warning L. Guo et al. https://doi.org/10.1007/s11629-023-8097-3
- Assessment of geomorphological, hydrometeorological and geological trigger conditions of debris flows in northern Patagonia Andes G. Maragaño-Carmona et al. https://doi.org/10.1007/s10064-024-04004-1
- Ideas and perspectives: Sensing energy and matter fluxes in a biota-dominated Patagonian landscape through environmental seismology – introducing the Pumalín Critical Zone Observatory C. Mohr et al. https://doi.org/10.5194/bg-21-1583-2024
- Long-term lake water levels in central Chile using satellite altimetry and conceptual hydrological modelling approaches M. Pedreros-Guarda et al. https://doi.org/10.1016/j.asr.2025.05.091
- Mask R-CNN–Based Landslide Hazard Identification for 22.6 Extreme Rainfall Induced Landslides in the Beijiang River Basin, China Z. Wu et al. https://doi.org/10.3390/rs15204898
- Controls over debris flow initiation in glacio-volcanic environments in the Southern Andes I. Fustos-Toribio et al. https://doi.org/10.5194/nhess-25-4843-2025
- Empirical rainfall thresholds for mudflow events in an arid basin of the Peruvian coast A. Goyburo et al. https://doi.org/10.3389/frwa.2025.1637115
- Global Geospatial Data for Flood and Landslide Susceptibility Mapping S. Lee & R. Fatemeh https://doi.org/10.22761/GD.2023.0058
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. https://doi.org/10.1016/j.gsf.2024.101822
- Enhancing landslide-scale rainfall threshold predictive modeling for rainfall-induced red-bed soft rock landslide occurrence using a stock-taking approach Q. Li et al. https://doi.org/10.1080/19475705.2025.2487805
- Beyond boundaries: AI-optimized global landslide susceptibility mapping M. Panahi et al. https://doi.org/10.1080/19475705.2025.2493222
- Preface: Multi-risk assessment in the Andes region E. Schoepfer et al. https://doi.org/10.5194/nhess-25-1163-2025
- Road slope monitoring and early warning system integrating numerical simulation and image recognition: a case study of Nanping, Fujian, China X. Gu et al. https://doi.org/10.1007/s00477-023-02482-5
- Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case G. Maragaño-Carmona et al. https://doi.org/10.3390/w15142514
- Potential landslides identification based on temporal and spatial filtering of SBAS-InSAR results J. Dong et al. https://doi.org/10.1080/19475705.2022.2154574
- Landslide processes related to recurrent explosive eruptions in the Southern Andes of Chile (39° S) D. Vásquez-Antipán et al. https://doi.org/10.1016/j.jsames.2025.105469
- Study on the Stability of Loess Landslides Based on Vegetation Characteristics and the Geo-Studio Model L. He et al. https://doi.org/10.15244/pjoes/190012
19 citations as recorded by crossref.
- Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters O. Bayraktar & A. Mutlu https://doi.org/10.1007/s11869-024-01573-8
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. https://doi.org/10.1016/j.jsames.2023.104631
- A case study of a giant reactivated landslide based on NPR anchor cable Newton force early warning L. Guo et al. https://doi.org/10.1007/s11629-023-8097-3
- Assessment of geomorphological, hydrometeorological and geological trigger conditions of debris flows in northern Patagonia Andes G. Maragaño-Carmona et al. https://doi.org/10.1007/s10064-024-04004-1
- Ideas and perspectives: Sensing energy and matter fluxes in a biota-dominated Patagonian landscape through environmental seismology – introducing the Pumalín Critical Zone Observatory C. Mohr et al. https://doi.org/10.5194/bg-21-1583-2024
- Long-term lake water levels in central Chile using satellite altimetry and conceptual hydrological modelling approaches M. Pedreros-Guarda et al. https://doi.org/10.1016/j.asr.2025.05.091
- Mask R-CNN–Based Landslide Hazard Identification for 22.6 Extreme Rainfall Induced Landslides in the Beijiang River Basin, China Z. Wu et al. https://doi.org/10.3390/rs15204898
- Controls over debris flow initiation in glacio-volcanic environments in the Southern Andes I. Fustos-Toribio et al. https://doi.org/10.5194/nhess-25-4843-2025
- Empirical rainfall thresholds for mudflow events in an arid basin of the Peruvian coast A. Goyburo et al. https://doi.org/10.3389/frwa.2025.1637115
- Global Geospatial Data for Flood and Landslide Susceptibility Mapping S. Lee & R. Fatemeh https://doi.org/10.22761/GD.2023.0058
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. https://doi.org/10.1016/j.gsf.2024.101822
- Enhancing landslide-scale rainfall threshold predictive modeling for rainfall-induced red-bed soft rock landslide occurrence using a stock-taking approach Q. Li et al. https://doi.org/10.1080/19475705.2025.2487805
- Beyond boundaries: AI-optimized global landslide susceptibility mapping M. Panahi et al. https://doi.org/10.1080/19475705.2025.2493222
- Preface: Multi-risk assessment in the Andes region E. Schoepfer et al. https://doi.org/10.5194/nhess-25-1163-2025
- Road slope monitoring and early warning system integrating numerical simulation and image recognition: a case study of Nanping, Fujian, China X. Gu et al. https://doi.org/10.1007/s00477-023-02482-5
- Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case G. Maragaño-Carmona et al. https://doi.org/10.3390/w15142514
- Potential landslides identification based on temporal and spatial filtering of SBAS-InSAR results J. Dong et al. https://doi.org/10.1080/19475705.2022.2154574
- Landslide processes related to recurrent explosive eruptions in the Southern Andes of Chile (39° S) D. Vásquez-Antipán et al. https://doi.org/10.1016/j.jsames.2025.105469
- Study on the Stability of Loess Landslides Based on Vegetation Characteristics and the Geo-Studio Model L. He et al. https://doi.org/10.15244/pjoes/190012
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
We develop for the first time a rainfall-induced landslide early warning system for the south of Chile. We used forecast precipitation values at different scales using mesoscale models to evaluate the probability of landslides using statistical models. We showed the feasibility of implementing these models in future, supporting stakeholders and decision-makers.
We develop for the first time a rainfall-induced landslide early warning system for the south of...
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