Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-3015-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3015-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Oct 2021
Research article |
| 08 Oct 2021
Debris flow event on Osorno volcano, Chile, during summer 2017: new interpretations for chain processes in the southern Andes
Ivo Janos Fustos-Toribio
CORRESPONDING AUTHOR
Department of Civil Engineering, University of La Frontera,
Francisco Salazar 1145, Temuco, Chile
Bastian Morales-Vargas
Departamento de Obras Civiles y Geología, Facultad de
Ingeniería, Universidad Católica de Temuco, Rudecindo Ortega 02950,
Temuco, Chile
Department of Forest Sciences, Faculty of Agriculture and Forest
Sciences, Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco,
4780000, Chile
Marcelo Somos-Valenzuela
CORRESPONDING AUTHOR
Department of Forest Sciences, Faculty of Agriculture and Forest
Sciences, Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco,
4780000, Chile
Butamallín Research Center for Global Change, University of La
Frontera, Av. Francisco Salazar 01145, Temuco, 4780000, Chile
Pablo Moreno-Yaeger
Department of Civil Engineering, University of La Frontera,
Francisco Salazar 1145, Temuco, Chile
Department of Geoscience, University of Wisconsin–Madison, 1215
West Dayton St., Madison, WI 53706, USA
Ramiro Muñoz-Ramirez
Departamento de Obras Civiles y Geología, Facultad de
Ingeniería, Universidad Católica de Temuco, Rudecindo Ortega 02950,
Temuco, Chile
Ines Rodriguez Araneda
Departamento de Obras Civiles y Geología, Facultad de
Ingeniería, Universidad Católica de Temuco, Rudecindo Ortega 02950,
Temuco, Chile
Ningsheng Chen
Key Laboratory of Mountain Hazards and Surface Processes, Institute
of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu
610041, China
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Ivo Fustos-Toribio, Nataly Manque-Roa, Daniel Vásquez Antipan, Mauricio Hermosilla Sotomayor, and Viviana Letelier Gonzalez
Nat. Hazards Earth Syst. Sci., 22, 2169–2183, https://doi.org/10.5194/nhess-22-2169-2022, https://doi.org/10.5194/nhess-22-2169-2022, 2022
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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.
Marcelo A. Somos-Valenzuela, Joaquín E. Oyarzún-Ulloa, Ivo J. Fustos-Toribio, Natalia Garrido-Urzua, and Ningsheng Chen
Nat. Hazards Earth Syst. Sci., 20, 2319–2333, https://doi.org/10.5194/nhess-20-2319-2020, https://doi.org/10.5194/nhess-20-2319-2020, 2020
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This work presents a study of the biggest mudflow event in 20 years in Chilean Patagonia, which resulted from an avalanche in the Cordon Yelcho. We integrate in situ geotechnical tests and numerical modeling to model the Villa Santa Lucía mudflow event. Our results suggest that the initial soil water content is sufficient to transform the landslide and scoured soil into a mudflow. Therefore, knowing the soil characteristics is crucial to evaluating the impact of landslides in the study area.
Ivo Fustos-Toribio, Nataly Manque-Roa, Daniel Vásquez Antipan, Mauricio Hermosilla Sotomayor, and Viviana Letelier Gonzalez
Nat. Hazards Earth Syst. Sci., 22, 2169–2183, https://doi.org/10.5194/nhess-22-2169-2022, https://doi.org/10.5194/nhess-22-2169-2022, 2022
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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.
Marcelo A. Somos-Valenzuela, Joaquín E. Oyarzún-Ulloa, Ivo J. Fustos-Toribio, Natalia Garrido-Urzua, and Ningsheng Chen
Nat. Hazards Earth Syst. Sci., 20, 2319–2333, https://doi.org/10.5194/nhess-20-2319-2020, https://doi.org/10.5194/nhess-20-2319-2020, 2020
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This work presents a study of the biggest mudflow event in 20 years in Chilean Patagonia, which resulted from an avalanche in the Cordon Yelcho. We integrate in situ geotechnical tests and numerical modeling to model the Villa Santa Lucía mudflow event. Our results suggest that the initial soil water content is sufficient to transform the landslide and scoured soil into a mudflow. Therefore, knowing the soil characteristics is crucial to evaluating the impact of landslides in the study area.
Lu Zhuo, Qiang Dai, Dawei Han, Ningsheng Chen, and Binru Zhao
Hydrol. Earth Syst. Sci., 23, 4199–4218, https://doi.org/10.5194/hess-23-4199-2019, https://doi.org/10.5194/hess-23-4199-2019, 2019
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This study assesses the usability of WRF model-simulated soil moisture for landslide monitoring in northern Italy. In particular, three advanced land surface model schemes (Noah, Noah-MP, and CLM4) are used to provide multi-layer soil moisture data. The results have shown Noah-MP can provide the best landslide monitoring performance. It is also demonstrated that a single soil moisture sensor located in plain area has a high correlation with a significant proportion of the study area.
Alvaro Hofflinger, Marcelo A. Somos-Valenzuela, and Arturo Vallejos-Romero
Nat. Hazards Earth Syst. Sci., 19, 251–267, https://doi.org/10.5194/nhess-19-251-2019, https://doi.org/10.5194/nhess-19-251-2019, 2019
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In this work, we propose a novel methodology (ReTSVI) to integrate a social vulnerability index into flood hazard methodologies. ReTSVI combines a series of modules that are pieces of information that interact during an evacuation, such as evacuation rate curves, mobilization, inundation models, and social vulnerability indexes, to create an integrated map of the evacuation rate in a given location.
Mingfeng Deng, Yong Zhang, Mei Liu, Yuanhuan Wang, Wanyin Xie, and Ningsheng Chen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-390, https://doi.org/10.5194/nhess-2017-390, 2017
Preprint withdrawn
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Research of the post-wildfire in Reneyong Valley shows: (1) the thresholds of post-fire debris flows was low and tend to increase as time passes; (2) reason for the post-fire debris flows with high frequency lies in an increase in soil water repellency, the soft geology, drainage area, channel gradient and regional arid climate; and (3) the varied rainfall thresholds (low in branch No. 3 and higher in branch No. 1 and No. 2) among the different branches are dependent on the drainage area.
Mingfeng Deng, Ningsheng Chen, and Mei Liu
Nat. Hazards Earth Syst. Sci., 17, 345–356, https://doi.org/10.5194/nhess-17-345-2017, https://doi.org/10.5194/nhess-17-345-2017, 2017
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Annual air temperature spiked and glacier retreated shortly before the three periglacial debris flows in Tianmo valley. However, they did not occur when glacier retreat was sharpest, resulting from the frozen bared glacial till as the melting of internal ice lags behind glacial retreat. The activity of the glacial till can be enhanced by prolonged high air temperature. Finally, either rainfall or continuous percolation of ice ablation water flows can generate debris flow.
N. Sh. Chen, G. Sh. Hu, W. Deng, N. Khanal, Y. H. Zhu, and D. Han
Nat. Hazards Earth Syst. Sci., 13, 795–808, https://doi.org/10.5194/nhess-13-795-2013, https://doi.org/10.5194/nhess-13-795-2013, 2013
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Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo)
Spatio-temporal analysis of slope-type debris flow activity in Horlachtal, Austria, based on orthophotos and lidar data since 1947
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Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
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Joshua N. Jones, Georgina L. Bennett, Claudia Abancó, Mark A. M. Matera, and Fibor J. Tan
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Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093, https://doi.org/10.5194/nhess-23-1079-2023, https://doi.org/10.5194/nhess-23-1079-2023, 2023
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Xun Huang, Zhijian Zhang, and Guoping Xiang
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A sensitivity analysis on the building impact force resulting from the representative built environment parameters is executed through the FLOW-3D model. The surrounding buildings' properties, especially the azimuthal angle, have been confirmed to play significant roles in determining the peak impact forces. The single and combined effects of built environments are analyzed in detail. This will improve understanding of vulnerability assessment and migration design against debris flow hazards.
Jean-Claude Maki Mateso, Charles L. Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci., 23, 643–666, https://doi.org/10.5194/nhess-23-643-2023, https://doi.org/10.5194/nhess-23-643-2023, 2023
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This research highlights the importance of human activities on the occurrence of landslides and the need to consider this context when studying hillslope instability patterns in regions under anthropogenic pressure. Also, this study highlights the importance of considering the timing of landslides and hence the added value of using historical information for compiling an inventory.
Jakob Rom, Florian Haas, Tobias Heckmann, Moritz Altmann, Fabian Fleischer, Camillo Ressl, Sarah Betz-Nutz, and Michael Becht
Nat. Hazards Earth Syst. Sci., 23, 601–622, https://doi.org/10.5194/nhess-23-601-2023, https://doi.org/10.5194/nhess-23-601-2023, 2023
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In this study, an area-wide slope-type debris flow record has been established for Horlachtal, Austria, since 1947 based on historical and recent remote sensing data. Spatial and temporal analyses show variations in debris flow activity in space and time in a high-alpine region. The results can contribute to a better understanding of past slope-type debris flow dynamics in the context of extreme precipitation events and their possible future development.
Tom Birien and Francis Gauthier
Nat. Hazards Earth Syst. Sci., 23, 343–360, https://doi.org/10.5194/nhess-23-343-2023, https://doi.org/10.5194/nhess-23-343-2023, 2023
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On highly fractured rockwalls such as those found in northern Gaspésie, most rockfalls are triggered by weather conditions. This study highlights that in winter, rockfall frequency is 12 times higher during a superficial thaw than during a cold period in which temperature remains below 0 °C. In summer, rockfall frequency is 22 times higher during a heavy rainfall event than during a mainly dry period. This knowledge could be used to implement a risk management strategy.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
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We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 23, 205–229, https://doi.org/10.5194/nhess-23-205-2023, https://doi.org/10.5194/nhess-23-205-2023, 2023
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In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, and Mohit K. Punia
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-296, https://doi.org/10.5194/nhess-2022-296, 2023
Revised manuscript accepted for NHESS
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The NW Himalaya has been one of most affected terrains of Himalaya subjected to disastrous landslides. This article aims at two towns (Joshimath and Bhatwari) of the NW Himalaya, which have been witnessing subsidence for decades. Present study has involved slope stability simulation to determine the response of the hillslopes accommodating these towns under various conditions. Results revealed that the displacement in these hillslopes might reach up to 20–25 m.
Suzanne Lapillonne, Firmin Fontaine, Frédéric Liebault, Vincent Richefeu, and Guillaume Piton
EGUsphere, https://doi.org/10.5194/egusphere-2022-1297, https://doi.org/10.5194/egusphere-2022-1297, 2023
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Debris flow are fast flows most often found in torrential watersheds. They are composed of two phases: a liquid phase which can be mud-like and a granular phase, including large boulders, which are transported along with the flow. Due to their destructive nature, accessing features of the flow, such as velocity and flow height is difficult. We present a protocol to analyze debris flow data and results on the Réal torrent in France. These results will help experts for the design of models.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018, https://doi.org/10.5194/nhess-22-4011-2022, https://doi.org/10.5194/nhess-22-4011-2022, 2022
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Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Marc Peruzzetto, Yoann Legendre, Aude Nachbaur, Thomas J. B. Dewez, Yannick Thiery, Clara Levy, and Benoit Vittecoq
Nat. Hazards Earth Syst. Sci., 22, 3973–3992, https://doi.org/10.5194/nhess-22-3973-2022, https://doi.org/10.5194/nhess-22-3973-2022, 2022
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Volcanic edifices result from successive construction and dismantling phases. Thus, the geological units forming volcanoes display complex geometries. We show that such geometries can be reconstructed thanks to aerial views, topographic surveys and photogrammetric models. In our case study of the Samperre cliff (Martinique, Lesser Antilles), it allows us to link destabilizations from a rocky cliff to the existence of a filled paleo-valley and estimate a potentially unstable volume.
Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814, https://doi.org/10.5194/nhess-22-3793-2022, https://doi.org/10.5194/nhess-22-3793-2022, 2022
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The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci., 22, 3751–3764, https://doi.org/10.5194/nhess-22-3751-2022, https://doi.org/10.5194/nhess-22-3751-2022, 2022
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The landslide hazard models assist in mitigating losses due to landslides. However, these models depend on landslide databases, which often have missing triggering information, rendering these databases unusable for landslide hazard models. In this work, we developed a Python library, Landsifier, consisting of three different methods to identify the triggers of landslides. These methods can classify landslide triggers with high accuracy using only a landslide polygon shapefile as an input.
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-271, https://doi.org/10.5194/nhess-2022-271, 2022
Revised manuscript accepted for NHESS
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We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to a denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false alarm rates.
Axel A. J. Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci., 22, 3679–3700, https://doi.org/10.5194/nhess-22-3679-2022, https://doi.org/10.5194/nhess-22-3679-2022, 2022
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Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, https://doi.org/10.5194/nhess-22-3641-2022, https://doi.org/10.5194/nhess-22-3641-2022, 2022
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This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anika Braun, Sophia Ulysse, Anne-Sophie Mreyen, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci., 22, 3361–3384, https://doi.org/10.5194/nhess-22-3361-2022, https://doi.org/10.5194/nhess-22-3361-2022, 2022
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We present a new landslide inventory for the 2021, M 7.2, Haiti, earthquake. We compare characteristics of this inventory with those of the 2010 seismically induced landslides, highlighting the much larger total area of 2021 landslides. This fact could be related to the larger earthquake magnitude in 2021, to the more central location of the fault segment ruptured in 2021 with respect to coastal zones, and/or to possible climatic preconditioning of slope failures in the 2021 affected area.
Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb
Nat. Hazards Earth Syst. Sci., 22, 3309–3327, https://doi.org/10.5194/nhess-22-3309-2022, https://doi.org/10.5194/nhess-22-3309-2022, 2022
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On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
Bastian van den Bout, Chenxiao Tang, Cees van Westen, and Victor Jetten
Nat. Hazards Earth Syst. Sci., 22, 3183–3209, https://doi.org/10.5194/nhess-22-3183-2022, https://doi.org/10.5194/nhess-22-3183-2022, 2022
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Natural hazards such as earthquakes, landslides, and flooding do not always occur as stand-alone events. After the 2008 Wenchuan earthquake, a co-seismic landslide blocked a stream in Hongchun. Two years later, a debris flow breached the material, blocked the Min River, and resulted in flooding of a small town. We developed a multi-process model that captures the full cascade. Despite input and process uncertainties, probability of flooding was high due to topography and trigger intensities.
Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141, https://doi.org/10.5194/nhess-22-3125-2022, https://doi.org/10.5194/nhess-22-3125-2022, 2022
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Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Anne Felsberg, Jean Poesen, Michel Bechtold, Matthias Vanmaercke, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 22, 3063–3082, https://doi.org/10.5194/nhess-22-3063-2022, https://doi.org/10.5194/nhess-22-3063-2022, 2022
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In this study we assessed global landslide susceptibility at the coarse 36 km spatial resolution of global satellite soil moisture observations to prepare for a subsequent combination of the two. Specifically, we focus therefore on the susceptibility of hydrologically triggered landslides. We introduce ensemble techniques, common in, for example, meteorology but not yet in the landslide community, to retrieve reliable estimates of the total prediction uncertainty.
Txomin Bornaetxea, Ivan Marchesini, Sumit Kumar, Rabisankar Karmakar, and Alessandro Mondini
Nat. Hazards Earth Syst. Sci., 22, 2929–2941, https://doi.org/10.5194/nhess-22-2929-2022, https://doi.org/10.5194/nhess-22-2929-2022, 2022
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One cannot know if there is a landslide or not in an area that one has not observed. This is an obvious statement, but when landslide inventories are obtained by field observation, this fact is seldom taken into account. Since fieldwork campaigns are often done following the roads, we present a methodology to estimate the visibility of the terrain from the roads, and we demonstrate that fieldwork-based inventories are underestimating landslide density in less visible areas.
Katy Burrows, Odin Marc, and Dominique Remy
Nat. Hazards Earth Syst. Sci., 22, 2637–2653, https://doi.org/10.5194/nhess-22-2637-2022, https://doi.org/10.5194/nhess-22-2637-2022, 2022
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The locations of triggered landslides following a rainfall event can be identified in optical satellite images. However cloud cover associated with the rainfall means that these images cannot be used to identify landslide timing. Timings of landslides triggered during long rainfall events are often unknown. Here we present methods of using Sentinel-1 satellite radar data, acquired every 12 d globally in all weather conditions, to better constrain the timings of rainfall-triggered landslides.
Feiko Bernard van Zadelhoff, Adel Albaba, Denis Cohen, Chris Phillips, Bettina Schaefli, Luuk Dorren, and Massimiliano Schwarz
Nat. Hazards Earth Syst. Sci., 22, 2611–2635, https://doi.org/10.5194/nhess-22-2611-2022, https://doi.org/10.5194/nhess-22-2611-2022, 2022
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Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard and the impact of protective measures can reduce losses. We developed a model (SlideforMAP) that can assess the shallow-landslide risk on a regional scale for specific rainfall events. Trees are an effective and cheap protective measure on a regional scale. Our model can assess their hazard reduction down to the individual tree level.
Chuxuan Li, Alexander L. Handwerger, Jiali Wang, Wei Yu, Xiang Li, Noah J. Finnegan, Yingying Xie, Giuseppe Buscarnera, and Daniel E. Horton
Nat. Hazards Earth Syst. Sci., 22, 2317–2345, https://doi.org/10.5194/nhess-22-2317-2022, https://doi.org/10.5194/nhess-22-2317-2022, 2022
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In January 2021 a storm triggered numerous debris flows in a wildfire burn scar in California. We use a hydrologic model to assess debris flow susceptibility in pre-fire and postfire scenarios. Compared to pre-fire conditions, postfire conditions yield dramatic increases in peak water discharge, substantially increasing debris flow susceptibility. Our work highlights the hydrologic model's utility in investigating and potentially forecasting postfire debris flows at regional scales.
Saskia de Vilder, Chris Massey, Biljana Lukovic, Tony Taig, and Regine Morgenstern
Nat. Hazards Earth Syst. Sci., 22, 2289–2316, https://doi.org/10.5194/nhess-22-2289-2022, https://doi.org/10.5194/nhess-22-2289-2022, 2022
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This study calculates the fatality risk posed by landslides while visiting Franz Josef Glacier and Fox Glacier valleys, New Zealand, for nine different scenarios, where the variables of the risk equation were adjusted to determine the range in risk values and associated uncertainty. The results show that it is important to consider variable inputs that change through time, such as the increasing probability of an earthquake and the impact of climate change on landslide characteristics.
Yiwei Zhang, Jianping Chen, Qing Wang, Chun Tan, Yongchao Li, Xiaohui Sun, and Yang Li
Nat. Hazards Earth Syst. Sci., 22, 2239–2255, https://doi.org/10.5194/nhess-22-2239-2022, https://doi.org/10.5194/nhess-22-2239-2022, 2022
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The disaster prevention and mitigation of debris flow is a very important scientific problem. Our model is based on geographic information system (GIS), combined with grey relational, data-driven and fuzzy logic methods. Through our results, we believe that the streamlining of factors and scientific classification should attract attention from other researchers to optimize a model. We also propose a good perspective to make better use of the watershed feature parameters.
Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Thom Bogaard, Martin Rutzinger, and Christoph Spötl
Nat. Hazards Earth Syst. Sci., 22, 2219–2237, https://doi.org/10.5194/nhess-22-2219-2022, https://doi.org/10.5194/nhess-22-2219-2022, 2022
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The activity of slow-moving deep-seated landslides is commonly governed by pore pressure variations within the shear zone. Groundwater recharge as a consequence of precipitation therefore is a process regulating the activity of landslides. In this context, we present a highly automated geo-statistical approach to spatially assess groundwater recharge controlling the velocity of a deep-seated landslide in Tyrol, Austria.
Yu Zhuang, Aiguo Xing, Perry Bartelt, Muhammad Bilal, and Zhaowei Ding
EGUsphere, https://doi.org/10.5194/egusphere-2022-468, https://doi.org/10.5194/egusphere-2022-468, 2022
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Trees destruction is often used to back-calculate the air blast impact region and estimate the air blast power. Here we established a novel model to assess the air blast power using the tree destruction information. We find that the dynamic magnification effect makes the trees easier to be damaged by a landslide-induced air blast, but the large tree deformation would weaken the effect. Bending and overturning are two likely failure modes, which depend heavily on the properties of trees.
Ivo Fustos-Toribio, Nataly Manque-Roa, Daniel Vásquez Antipan, Mauricio Hermosilla Sotomayor, and Viviana Letelier Gonzalez
Nat. Hazards Earth Syst. Sci., 22, 2169–2183, https://doi.org/10.5194/nhess-22-2169-2022, https://doi.org/10.5194/nhess-22-2169-2022, 2022
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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.
Katrin M. Nissen, Stefan Rupp, Thomas M. Kreuzer, Björn Guse, Bodo Damm, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 22, 2117–2130, https://doi.org/10.5194/nhess-22-2117-2022, https://doi.org/10.5194/nhess-22-2117-2022, 2022
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A statistical model is introduced which quantifies the influence of individual potential triggering factors and their interactions on rockfall probability in central Europe. The most important factor is daily precipitation, which is most effective if sub-surface moisture levels are high. Freeze–thaw cycles in the preceding days can further increase the rockfall hazard. The model can be applied to climate simulations in order to investigate the effect of climate change on rockfall probability.
Andreas Schimmel, Velio Coviello, and Francesco Comiti
Nat. Hazards Earth Syst. Sci., 22, 1955–1968, https://doi.org/10.5194/nhess-22-1955-2022, https://doi.org/10.5194/nhess-22-1955-2022, 2022
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The estimation of debris flow velocity and volume is a fundamental task for the development of early warning systems and other mitigation measures. This work provides a first approach for estimating the velocity and the total volume of debris flows based on the seismic signal detected with simple, low-cost geophones installed along the debris flow channel. The developed method was applied to seismic data collected at three test sites in the Alps: Gadria and Cancia (IT) and Lattenbach (AT).
Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard
Nat. Hazards Earth Syst. Sci., 22, 1723–1742, https://doi.org/10.5194/nhess-22-1723-2022, https://doi.org/10.5194/nhess-22-1723-2022, 2022
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This research tested the value of regional groundwater level information to improve landslide predictions with empirical models based on the concept of threshold levels. In contrast to precipitation-based thresholds, the results indicated that relying on threshold models exclusively defined using hydrological variables such as groundwater levels can lead to improved landslide predictions due to their implicit consideration of long-term antecedent conditions until the day of landslide occurrence.
Andrea Manconi, Alessandro C. Mondini, and the AlpArray working group
Nat. Hazards Earth Syst. Sci., 22, 1655–1664, https://doi.org/10.5194/nhess-22-1655-2022, https://doi.org/10.5194/nhess-22-1655-2022, 2022
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Information on when, where, and how landslide events occur is the key to building complete catalogues and performing accurate hazard assessments. Here we show a procedure that allows us to benefit from the increased density of seismic sensors installed on ground for earthquake monitoring and from the unprecedented availability of satellite radar data. We show how the procedure works on a recent sequence of landslides that occurred at Piz Cengalo (Swiss Alps) in 2017.
Andrew Mitchell, Sophia Zubrycky, Scott McDougall, Jordan Aaron, Mylène Jacquemart, Johannes Hübl, Roland Kaitna, and Christoph Graf
Nat. Hazards Earth Syst. Sci., 22, 1627–1654, https://doi.org/10.5194/nhess-22-1627-2022, https://doi.org/10.5194/nhess-22-1627-2022, 2022
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Debris flows are complex, surging movements of sediment and water. Discharge observations from well-studied debris-flow channels were used as inputs for a numerical modelling study of the downstream effects of chaotic inflows. The results show that downstream impacts are sensitive to inflow conditions. Inflow conditions for predictive modelling are highly uncertain, and our method provides a means to estimate the potential variability in future events.
Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, Mario Floris, and Filippo Catani
Nat. Hazards Earth Syst. Sci., 22, 1395–1417, https://doi.org/10.5194/nhess-22-1395-2022, https://doi.org/10.5194/nhess-22-1395-2022, 2022
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The study investigated the importance of the conditioning factors in predicting landslide occurrences using the mentioned models. In this paper, we evaluated the importance of the conditioning factors (features) in the overall prediction capabilities of the statistical and machine learning algorithms.
Pierpaolo Distefano, David J. Peres, Pietro Scandura, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 22, 1151–1157, https://doi.org/10.5194/nhess-22-1151-2022, https://doi.org/10.5194/nhess-22-1151-2022, 2022
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In the communication, we introduce the use of artificial neural networks (ANNs) for improving the performance of rainfall thresholds for landslide early warning. Results show how ANNs using rainfall event duration and mean intensity perform significantly better than a classical power law based on the same variables. Adding peak rainfall intensity as input to the ANN improves performance even more. This further demonstrates the potentialities of the proposed machine learning approach.
Robert Emberson, Dalia B. Kirschbaum, Pukar Amatya, Hakan Tanyas, and Odin Marc
Nat. Hazards Earth Syst. Sci., 22, 1129–1149, https://doi.org/10.5194/nhess-22-1129-2022, https://doi.org/10.5194/nhess-22-1129-2022, 2022
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Understanding where landslides occur in mountainous areas is critical to support hazard analysis as well as understand landscape evolution. In this study, we present a large compilation of inventories of landslides triggered by rainfall, including several that are described here for the first time. We analyze the topographic characteristics of the landslides, finding consistent relationships for landslide source and deposition areas, despite differences in the inventories' locations.
Alexander L. Handwerger, Mong-Han Huang, Shannan Y. Jones, Pukar Amatya, Hannah R. Kerner, and Dalia B. Kirschbaum
Nat. Hazards Earth Syst. Sci., 22, 753–773, https://doi.org/10.5194/nhess-22-753-2022, https://doi.org/10.5194/nhess-22-753-2022, 2022
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Rapid detection of landslides is critical for emergency response and disaster mitigation. Here we develop a global landslide detection tool in Google Earth Engine that uses satellite radar data to measure changes in the ground surface properties. We find that we can detect areas with high landslide density within days of a triggering event. Our approach allows the broader hazard community to utilize these state-of-the-art data for improved situational awareness of landslide hazards.
Qiwen Lin, Yufeng Wang, Yu Xie, Qiangong Cheng, and Kaifeng Deng
Nat. Hazards Earth Syst. Sci., 22, 639–657, https://doi.org/10.5194/nhess-22-639-2022, https://doi.org/10.5194/nhess-22-639-2022, 2022
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Fracturing and fragmentation of rock blocks are important and universal phenomena during the movement of rock avalanches (large and long-run-out rockslide-debris avalanches). The movement of a fragmenting rock block is simulated by the discrete element method, aiming to quantify the fracturing and fragmentation effect of the block in propagation. The fracturing and fragmentation processes and their influences on energy transformation in the system are described in detail.
Napoleon Gudino-Elizondo, Matthew W. Brand, Trent W. Biggs, Alejandro Hinojosa-Corona, Álvaro Gómez-Gutiérrez, Eddy Langendoen, Ronald Bingner, Yongping Yuan, and Brett F. Sanders
Nat. Hazards Earth Syst. Sci., 22, 523–538, https://doi.org/10.5194/nhess-22-523-2022, https://doi.org/10.5194/nhess-22-523-2022, 2022
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Mass movement hazards in the form of gullies and landslides pose significant risks in urbanizing areas yet are poorly documented. This paper presents observations and modeling of mass movement events over a 5-year period in Tijuana, Mexico. Three major events were observed, and all were linked to water resources infrastructure failures (WRIFs), namely leaks and breaks in water supply pipes. Modeling shows that WRIF-based erosion was also a non-negligible contributor to the total sediment budget.
David G. Milledge, Dino G. Bellugi, Jack Watt, and Alexander L. Densmore
Nat. Hazards Earth Syst. Sci., 22, 481–508, https://doi.org/10.5194/nhess-22-481-2022, https://doi.org/10.5194/nhess-22-481-2022, 2022
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Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts to understand what controls these landslides rely heavily on costly and time-consuming manual mapping from satellite imagery. We developed a new method that automatically detects landslides triggered by earthquakes using thousands of free satellite images. We found that in the majority of cases, it was as skilful at identifying the locations of landslides as the manual maps that we tested it against.
Sohrab Sharifi, Michael T. Hendry, Renato Macciotta, and Trevor Evans
Nat. Hazards Earth Syst. Sci., 22, 411–430, https://doi.org/10.5194/nhess-22-411-2022, https://doi.org/10.5194/nhess-22-411-2022, 2022
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This study is devoted to comparing the effectiveness of three different filters for noise reduction of instruments. It was observed that the Savitzky–Golay and Gaussian-weighted moving average filters outperform the simple moving average. Application of these two filters in real-time landslide monitoring leads to timely detection of acceleration moment and better preservation of information regarding displacement and velocity.
Alex Garcés, Gerardo Zegers, Albert Cabré, Germán Aguilar, Aldo Tamburrino, and Santiago Montserrat
Nat. Hazards Earth Syst. Sci., 22, 377–393, https://doi.org/10.5194/nhess-22-377-2022, https://doi.org/10.5194/nhess-22-377-2022, 2022
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We propose a workflow to model the response of an alluvial fan located in the Atacama Desert during an extreme storm event. For this alluvial fan, five different deposits were identified and associated with different debris flow surges. Using a commercial software program, our workflow concatenates these surges into one model. This study depicts the significance of the mechanical classification of debris flows to reproduce how an alluvial fan controls the tributary–river junction connectivity.
Jim S. Whiteley, Arnaud Watlet, J. Michael Kendall, and Jonathan E. Chambers
Nat. Hazards Earth Syst. Sci., 21, 3863–3871, https://doi.org/10.5194/nhess-21-3863-2021, https://doi.org/10.5194/nhess-21-3863-2021, 2021
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This work summarises the contribution of geophysical imaging methods to establishing and operating local landslide early warning systems, demonstrated through a conceptual framework. We identify developments in geophysical monitoring equipment, the spatiotemporal resolutions of these approaches and methods to translate geophysical to geotechnical information as the primary benefits that geophysics brings to slope-scale early warning.
Vipin Kumar, Léna Cauchie, Anne-Sophie Mreyen, Mihai Micu, and Hans-Balder Havenith
Nat. Hazards Earth Syst. Sci., 21, 3767–3788, https://doi.org/10.5194/nhess-21-3767-2021, https://doi.org/10.5194/nhess-21-3767-2021, 2021
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The SE Carpathians belong to one of the most active seismic regions of Europe. In recent decades, extreme rainfall events have also been common. These natural processes result in frequent landslides, particularly of a debris flow type. Despite such regimes, the region has been little explored to understand the response of the landslides in seismic and rainfall conditions. This study attempts to fill this gap by evaluating landslide responses under seismic and extreme-rainfall regimes.
Cited articles
Aaron, J. and Hungr, O.: Dynamic analysis of an extraordinarily mobile rock
avalanche in the Northwest Territories, Canada, Can. Geotech. J., 53,
899–908, https://doi.org/10.1139/cgj-2015-0371, 2016.
Aguilar, G., Carretier, S., Regard, V., Vassallo, R., Riquelme, R., and
Martinod, J.: Grain size-dependent 10Be concentrations in alluvial stream
sediment of the Huasco Valley, a semi-arid Andes region, Quaternary
Geochronol., 19, 163–172, https://doi.org/10.1016/j.quageo.2013.01.011,
2014.
Alganci, U., Besol, B., and Sertel, E.: Accuracy Assessment of Different
Digital Surface Models, ISPRS Int. J. Geo.-Inf., 7, 114, https://doi.org/10.3390/ijgi7030114,
2018.
Alimohammadlou, Y., Najafi, A., and Yalcin, A.: Landslide process and
impacts: A proposed classification method, CATENA, 104, 219–232,
https://doi.org/10.1016/j.catena.2012.11.013, 2013.
ASTM: D2216-19, Standard Test Methods for Laboratory Determination of Water
(Moisture) Content of Soil and Rock by Mass, ASTM International, West
Conshohocken, PA, 2019, https://doi.org/10.1520/D2216-19, 2019.
ASTM: D3080/D3080M-11: Standard Test Method for Direct Shear Test of Soils
Under Consolidated Drained Conditions (Withdrawn 2020), ASTM International,
West Conshohocken, PA, 2011, https://doi.org/10.1520/d3080_d3080m-11, 2020.
Bühler, Y., Christen, M., Kowalski, J., and Bartelt, P.: Sensitivity of
snow avalanche simulations to digital elevation model quality and
resolution, Ann. Glaciol., 52, 72–80,
https://doi.org/10.3189/172756411797252121, 2011.
Bueechi, E., Klimeš, J., Frey, H., Huggel, C., Strozzi, T., and
Cochachin, A.: Regional-scale landslide susceptibility modelling in the
Cordillera Blanca, Peru – a comparison of different approaches, Landslides,
16, 395–407, https://doi.org/10.1007/s10346-018-1090-1, 2018.
Calhoun, N. C. and Clague, J. J.: Distinguishing between debris flows and
hyperconcentrated flows: an example from the eastern Swiss Alps, Earth Surf.
Proc. Land., 43, 1280–1294,
https://doi.org/10.1002/esp.4313, 2018.
Cembrano, J. and Lara, L.: The link between volcanism and tectonics in the
southern volcanic zone of the Chilean Andes: A review, Tectonophysics, 471,
96–113, https://doi.org/10.1016/j.tecto.2009.02.038, 2009.
Dufresne, A., Wolken, G. J., Hibert, C., Bessette-Kirton, E. K., Coe, J. A.,
Geertsema, M., and Ekström, G.: The 2016 Lamplugh rock avalanche,
Alaska: deposit structures and emplacement dynamics, Landslides, 16,
2301–2319, https://doi.org/10.1007/s10346-019-01225-4, 2019.
Evans, S. G., Bishop, N. F., Fidel Smoll, L., Valderrama Murillo, P.,
Delaney, K. B., and Oliver-Smith, A.: A re-examination of the mechanism and
human impact of catastrophic mass flows originating on Nevado Huascarán,
Cordillera Blanca, Peru in 1962 and 1970, Eng. Geol., 108, 96–118,
https://doi.org/10.1016/j.enggeo.2009.06.020, 2009.
Fustos, I., Abarca-del-Rio, R., Moreno-Yaeger, P., and Somos-Valenzuela, M.:
Rainfall-Induced Landslides forecast using local precipitation and global
climate indexes, Nat. Hazards, 102, 115–131,
https://doi.org/10.1007/s11069-020-03913-0, 2020.
García-Delgado, H., Machuca, S., and Medina, E.: Dynamic and geomorphic
characterizations of the Mocoa debris flow (March 31, 2017, Putumayo
Department, southern Colombia), Landslides, 16, 597–609,
https://doi.org/10.1007/s10346-018-01121-3, 2019.
Garrido, N.: Deslizamientos y flujos de detritos en Petrohué, Sierra
Santo Domingo, naciente río Petrohué ladera sur. 02.06.2015.
Servicio Nacional de Geología y Minería, Informe Técnico, 11 pp., 2015.
Garrido, N., Mella, M., Sepúlveda, V., Duhart, P., and Moreno, H.: Efectos
geológicos de los flujos de detritos ruta CH-225 entre Ensenada y
Petrohué, 08 de enero 2017, región de Los Lagos (INF-X-05.2017)
[informe inédito], Puerto Varas: Sernageomin, 2017, 12, 2017.
Garrido, N., Sepúlveda, V., Duhart, P.: Catastro de remociones en masa
de la Provincia de Llanquihue, Región de Los Lagos (INF-Los
Lagos-10.2018) [informe inédito], Puerto Varas, Sernageomin, 2018.
INE: ENCUESTA MENSUAL DE ALOJAMIENTO TURÍSTICO, AÑO 2017, Technical
report, available at:
https://www.ine.cl/docs/default-source/actividad-del-turismo/publicaciones-y-anuarios/informe-anual/informe-anual-emat-2017.pdf
(last access: 12 June 2020), 2018.
Jakob, M., Hungr, O., and Jakob, D. M.: Debris-flow Hazards and Related
Phenomena, Springer, Berlin, Heidelberg, 2005.
Johnson, J. B. and Palma, J. L.: Lahar infrasound associated with Volcán
Villarrica's 3 March 2015 eruption, Geophys. Res. Lett., 42, 6324–6331,
https://doi.org/10.1002/2015gl065024, 2015.
Kääb, A., Huggel, C., Fischer, L., Guex, S., Paul, F., Roer, I., Salzmann, N., Schlaefli, S., Schmutz, K., Schneider, D., Strozzi, T., and Weidmann, Y.: Remote sensing of glacier- and permafrost-related hazards in high mountains: an overview, Nat. Hazards Earth Syst. Sci., 5, 527–554, https://doi.org/10.5194/nhess-5-527-2005, 2005.
Korup, O., Seidemann, J., and Mohr, C. H.: Increased landslide activity on
forested hillslopes following two recent volcanic eruptions in Chile, Nat.
Geosci., 12, 284–289, https://doi.org/10.1038/s41561-019-0315-9, 2019.
Lavigne, F. and Suwa, H.: Contrasts between debris flows, hyperconcentrated
flows and stream flows at a channel of Mount Semeru, East Java, Indonesia,
Geomorphology, 61, 41–58, https://doi.org/10.1016/j.geomorph.2003.11.005,
2004.
Major, J. J., Bertin, D., Pierson, T. C., Amigo, Á., Iroumé, A.,
Ulloa, H., and Castro, J.: Extraordinary sediment delivery and rapid
geomorphic response following the 2008–2009 eruption of Chaitén Volcano,
Chile, Water Resour. Res., 52, 5075–5094,
https://doi.org/10.1002/2015wr018250, 2016.
Martha, T. R., Kerle, N., Jetten, V., van Westen, C. J., and Kumar, K. V.:
Characterising spectral, spatial and morphometric properties of landslides
for semi-automatic detection using object-oriented methods, Geomorphology,
116, 24–36, https://doi.org/10.1016/j.geomorph.2009.10.004, 2010.
Mergili, M. and Pudasaini, S. P.:. r.avaflow – The mass flow simulation tool, available at: https://www.landslidemodels.org/r.avaflow/ (last access: 7 October 2021), 2014–2021.
Mergili, M., Fischer, J.-T., Krenn, J., and Pudasaini, S. P.: r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows, Geosci. Model Dev., 10, 553–569, https://doi.org/10.5194/gmd-10-553-2017, 2017.
Mergili, M., Frank, B., Fischer, J.-T., Huggel, C., and Pudasaini, S. P.:
Computational experiments on the 1962 and 1970 landslide events at
Huascarán (Peru) with r.avaflow: Lessons learned for predictive mass
flow simulations, Geomorphology, 322, 15–28,
https://doi.org/10.1016/j.geomorph.2018.08.032, 2018a.
Mergili, M., Emmer, A., Juřicová, A., Cochachin, A., Fischer, J.-T.,
Huggel, C., and Pudasaini, S. P.: How well can we simulate complex
hydro-geomorphic process chains? The 2012 multi-lake outburst flood in the
Santa Cruz Valley (Cordillera Blanca, Perú), Earth Surf. Proc.
Land., 43, 1373–1389, https://doi.org/10.1002/esp.4318, 2018b.
Moreno, H., Varela, J., López-E,L., Munizaga, F., and Lahsen, A.:
Geología y riesgo volcánico del volcán Osorno y centros
eruptivos menores, Universidad de Chile, Departamento de Geología y
Geofisica, Sangiago, 212 pp., 1985.
Moreno, H., Lara, L. E., and Orozco, G.: Geología del volcán Osorno,
Región de Los Lagos, Servicio Nacional de Geología y Minería,
Carta Geológica de Chile, Serie Geología Básica 126: p., 1 mapa
escala 1:50.000, Santiago, 2010.
Moreno, T. and Gibbons, W. (Eds.): The Geology of Chile, The Geological Society of London, https://doi.org/10.1144/goch, 2007.
Naranjo, J. L., Sigurdsson, H., Carey, S. N., and Fritz, W.: Eruption of the
Nevado del Ruiz Volcano, Colombia, On 13 November 1985: Tephra Fall and
Lahars, Science, 233, 961–963,
https://doi.org/10.1126/science.233.4767.961, 1986.
Oyarzún, J.: Análisis de los factores gatillantes al flujo
hiperconcentrado en Villa Santa Lucía y determinación de las
condicionantes de un proceso futuro, Trabajo de Proyecto de Titulación
para optar al Título de Ingeniero Civil, Universidad de La Frontera,
Facultad de Ingeniería y Ciencias, 2019.
Pierson, T. C.: Flow characteristics of large eruption-triggered debris
flows at snow-clad volcanoes: constraints for debris-flow models, J.
Volcanol. Geoth. Res., 66, 283–294,
https://doi.org/10.1016/0377-0273(94)00070-w, 1995.
Pierson, T. C., Major, J. J., Amigo, Á., and Moreno, H.: Acute sedimentation response to rainfall following the explosive phase of the 2008–2009 eruption of Chaitén volcano, Chile, Bull. Volcanol., 75, 723, https://doi.org/10.1007/s00445-013-0723-4, 2013.
Pudasaini, S. P.: A general two-phase debris flow model, J. Geophys. Res.,
117, F03010, https://doi.org/10.1029/2011jf002186, 2012.
Pudasaini, S. P. and Mergili, M.: A Multi-Phase Mass Flow Model, J.
Geophys. Res.-Earth, 124, 2920–2942,
https://doi.org/10.1029/2019jf005204, 2019.
Qin, C.-Z., Bao, L.-L., Zhu, A.-X., Wang, R.-X., and Hu, X.-M.: Uncertainty
due to DEM error in landslide susceptibility mapping, Int. J.
Geogr. Inf. Sci., 27, 1364–1380,
https://doi.org/10.1080/13658816.2013.770515, 2013.
Rodríguez, I., Páez, J., van Wyk de Vries, M. S., van Wyk de Vries,
B., and Godoy, B.: Dynamics and physical parameters of the Lastarria debris
avalanche, Central Andes, J. Volcanol. Geoth. Res.,
402, 106990, https://doi.org/10.1016/j.jvolgeores.2020.106990, 2020.
Schaefer, L. N., Kennedy, B. M., Villeneuve, M. C., Cook, S. C. W., Jolly,
A. D., Keys, H. J. R., and Leonard, G. S.: Stability assessment of the
Crater Lake/Te Wai-ā-moe overflow channel at Mt. Ruapehu (New Zealand),
and implications for volcanic lake break-out triggers, J.
Volcanol. Geoth. Res., 358, 31–44,
https://doi.org/10.1016/j.jvolgeores.2018.06.011, 2018.
Schuster, R. L., NietoThomas, A. S., D. O'Rourke, T., Crespo, E., and
Plaza-Nieto, G.: Mass wasting triggered by the 5 March 1987 ecuador
earthquakes, Eng. Geol., 42, 1–23,
https://doi.org/10.1016/0013-7952(95)00024-0, 1996.
Sepúlveda, S. A., Moreiras, S. M., Lara, M., and Alfaro, A.: Debris
flows in the Andean ranges of central Chile and Argentina triggered by 2013
summer storms: characteristics and consequences, Landslides, 12, 115–133,
https://doi.org/10.1007/s10346-014-0539-0, 2014.
Sheridan, M. F., Stinton, A. J., Patra, A., Pitman, E. B., Bauer, A., and
Nichita, C. C.: Evaluating Titan2D mass-flow model using the 1963 Little
Tahoma Peak avalanches, Mount Rainier, Washington, J. Volcanol.
Geoth. Res., 139, 89–102,
https://doi.org/10.1016/j.jvolgeores.2004.06.011, 2005.
Shu, H., Ma, J., Yu, H., Hürlimann, M., Zhang, P., Liu, F., and Qi, S.:
Effect of Density and Total Weight on Flow Depth, Velocity, and Stresses in
Loess Debris Flows, Water, 10, 1784, https://doi.org/10.3390/w10121784,
2018.
Sosio, R., Crosta, G. B., and Hungr, O.: Numerical modeling of debris
avalanche propagation from collapse of volcanic edifices, Landslides, 9,
315–334, https://doi.org/10.1007/s10346-011-0302-8, 2011.
Somos-Valenzuela, M. A., Oyarzún-Ulloa, J. E., Fustos-Toribio, I. J., Garrido-Urzua, N., and Chen, N.: The mudflow disaster at Villa Santa Lucía in Chilean Patagonia: understandings and insights derived from numerical simulation and postevent field surveys, Nat. Hazards Earth Syst. Sci., 20, 2319–2333, https://doi.org/10.5194/nhess-20-2319-2020, 2020.
Stern, C. R.: Holocene tephrochronology record of large explosive eruptions
in the southernmost Patagonian Andes, B. Volcanol., 70, 435–454,
https://doi.org/10.1007/s00445-007-0148-z, 2007.
Tacconi Stefanelli, C., Vilímek, V., Emmer, A., and Catani, F.:
Morphological analysis and features of the landslide dams in the Cordillera
Blanca, Peru, Landslides, 15, 507–521,
https://doi.org/10.1007/s10346-017-0888-6, 2017.
Thouret, J.-C., Antoine, S., Magill, C., and Ollier, C.: Lahars and debris
flows: Characteristics and impacts, Earth-Sci. Rev., 201, 103003,
https://doi.org/10.1016/j.earscirev.2019.103003, 2020.
Vezzoli, L., Apuani, T., Corazzato, C., and Uttini, A.: Geological and
geotechnical characterization of the debris avalanche and pyroclastic
deposits of Cotopaxi Volcano (Ecuador). A contribute to instability-related
hazard studies, J. Volcanol. Geoth. Res., 332, 51–70,
https://doi.org/10.1016/j.jvolgeores.2017.01.004, 2017.
Wieczorek, G. F., Larsen, M. C., and Eaton, L. S.: Catastrophic landslides and
flooding in coastal Venezuela, December 16, 1999 (abstr.). In Program with
abstracts, 2000 Annual Meeting, Assoc. of Engrg. Geologists, San Jose,
California, 19–26 September, AEG News, Vol. 43, p. 120, 2000.
Zwinger, T., Kluwick, A., and Sampl, P.: Numerical Simulation of Dry-Snow
Avalanche Flow over Natural Terrain, in: Dynamic Response of Granular and
Porous Materials under Large and Catastrophic Deformations, Springer Berlin
Heidelberg, 161–194,
https://doi.org/10.1007/978-3-540-36565-5_5, 2003.
Short summary
Links between debris flow and volcanic evolution are an open question in the southern Andes. We modelled the catastrophic debris flow using field data, a geotechnical approach and numerical modelling of the Petrohué event (Chile, 2017). Our results indicated new debris-flow-prone zones. Finally, we propose considering connections between volcanoes and debris flow in the southern Andes.
Links between debris flow and volcanic evolution are an open question in the southern Andes. We...
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