Articles | Volume 19, issue 4
Nat. Hazards Earth Syst. Sci., 19, 775–789, 2019
https://doi.org/10.5194/nhess-19-775-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 19, 775–789, 2019
https://doi.org/10.5194/nhess-19-775-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 15 Apr 2019
Research article | 15 Apr 2019
A susceptibility-based rainfall threshold approach for landslide occurrence
Elise Monsieurs et al.
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Jean-Claude Maki Mateso, Charles Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-336, https://doi.org/10.5194/nhess-2021-336, 2021
Preprint under review for NHESS
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To summarize, 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.
Arthur Depicker, Gerard Govers, Liesbet Jacobs, Benjamin Campforts, Judith Uwihirwe, and Olivier Dewitte
Earth Surf. Dynam., 9, 445–462, https://doi.org/10.5194/esurf-9-445-2021, https://doi.org/10.5194/esurf-9-445-2021, 2021
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We investigated how shallow landslide occurrence is impacted by deforestation and rifting in the North Tanganyika–Kivu rift region (Africa). We developed a new approach to calculate landslide erosion rates based on an inventory compiled in biased © Google Earth imagery. We find that deforestation increases landslide erosion by a factor of 2–8 and for a period of roughly 15 years. However, the exact impact of deforestation depends on the geomorphic context of the landscape (rejuvenated/relict).
Arnaud Beckers, Aurelia Hubert-Ferrari, Christian Beck, George Papatheodorou, Marc de Batist, Dimitris Sakellariou, Efthymios Tripsanas, and Alain Demoulin
Nat. Hazards Earth Syst. Sci., 18, 1411–1425, https://doi.org/10.5194/nhess-18-1411-2018, https://doi.org/10.5194/nhess-18-1411-2018, 2018
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Coastal and submarine landslides occur on average every 30–50 years at the western tip of the Gulf of Corinth. These landslides trigger tsunamis and thus represent a significant hazard. We realized an inventory of the submarine landslide deposits in the western Gulf. Six large events are identified in the last 130 000 years. Such sliding events likely generated large tsunami waves in the whole Gulf of Corinth, possibly larger than those reported in historical sources.
Liesbet Jacobs, Olivier Dewitte, Jean Poesen, John Sekajugo, Adriano Nobile, Mauro Rossi, Wim Thiery, and Matthieu Kervyn
Nat. Hazards Earth Syst. Sci., 18, 105–124, https://doi.org/10.5194/nhess-18-105-2018, https://doi.org/10.5194/nhess-18-105-2018, 2018
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While country-specific, continental and global susceptibility maps are increasingly available, local and regional susceptibility studies remain rare in remote and data-poor settings. Here, we provide a landslide susceptibility assessment for the inhabited region of the Rwenzori Mountains. We find that higher spatial resolutions do not necessarily lead to better models and that models built for local case studies perform better than aggregated susceptibility assessments on the regional scale.
Related subject area
Landslides and Debris Flows Hazards
Brief communication: The role of geophysical imaging in local landslide early warning systems
Evaluating landslide response in a seismic and rainfall regime: a case study from the SE Carpathians, Romania
Main Ethiopian Rift landslides formed in contrasting geological settings and climatic conditions
Investigating causal factors of shallow landslides in grassland regions of Switzerland
Debris flow event on Osorno volcano, Chile, during summer 2017: new interpretations for chain processes in the southern Andes
Integrating empirical models and satellite radar can improve landslide detection for emergency response
A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event
Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment
Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling
Geographic-information-system-based topographic reconstruction and geomechanical modelling of the Köfels rockslide
Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015)
Atmospheric triggering conditions and climatic disposition of landslides in Kyrgyzstan and Tajikistan at the beginning of the 21st century
Automated landslide detection outperforms manual mapping for several recent large earthquakes
Analysis of meteorological parameters triggering rainfall-induced landslide: a review of 70 years in Valtellina
Landslide risk management analysis on expansive residential areas – case study of La Marina (Alicante, Spain)
Uncertainty analysis of a rainfall threshold estimate for stony debris flow based on the backward dynamical approach
Controls on the formation and size of potential landslide dams and dammed lakes in the Austrian Alps
The role of geomorphology, rainfall and soil moisture in the occurrence of landslides triggered by 2018 Typhoon Mangkhut in the Philippines
Invited perspectives: Landslide populations – can they be predicted?
Glacier detachments and rock-ice avalanches in the Petra Pervogo range, Tajikistan (1973–2019)
Exploring the potential relationship between the occurrence of debris flow and landslides
Cascade effect of rock bridge failure in planar rock slides: numerical test with a distinct element code
DebrisFlow Predictor: an agent-based runout program for shallow landslides
Leveraging time series analysis of radar coherence and normalized difference vegetation index ratios to characterize pre-failure activity of the Mud Creek landslide, California
A model for interpreting the deformation mechanism of reservoir landslides in the Three Gorges Reservoir area, China
Nepalese landslide information system (NELIS): a conceptual framework for a web-based geographical information system for enhanced landslide risk management in Nepal
Modelling landslide hazards under global changes: the case of a Pyrenean valley
Debris flows recorded in the Moscardo catchment (Italian Alps) between 1990 and 2019
The potential of Smartstone probes in landslide experiments: how to read motion data
INSPIRE standards as a framework for artificial intelligence applications: a landslide example
New global characterisation of landslide exposure
Semi-empirical prediction of dam height and stability of dams formed by rock slope failures in Norway
Detecting precursors of an imminent landslide along the Jinsha River
A systematic exploration of satellite radar coherence methods for rapid landslide detection
Including informal housing in slope stability analysis – an application to a data-scarce location in the humid tropics
Stability evaluation and potential failure process of rock slopes characterized by non-persistent fractures
Deriving rainfall thresholds for landsliding at the regional scale: daily and hourly resolutions, normalisation, and antecedent rainfall
Shear rate effect on the residual strength characteristics of saturated loess in naturally drained ring shear tests
Assessment of the physical vulnerability of buildings affected by slow-moving landslides
The mudflow disaster at Villa Santa Lucía in Chilean Patagonia: understandings and insights derived from numerical simulation and postevent field surveys
Rainfall and rockfalls in the Canary Islands: assessing a seasonal link
Timing, drivers and impacts of the historic Masiere di Vedana rock avalanche (Belluno Dolomites, NE Italy)
Sensitivity and identifiability of rheological parameters in debris flow modeling
Assessing the annual risk of vehicles being hit by a rainfall-induced landslide: a case study on Kennedy Road in Wan Chai, Hong Kong
Topographic uncertainty quantification for flow-like landslide models via stochastic simulations
Geo-climatic hazards in the eastern subtropical Andes: distribution, climate drivers and trends
A multivariate statistical method for susceptibility analysis of debris flow in southwestern China
Analysis of the instability conditions and failure mode of a special type of translational landslide using long-term monitoring data: a case study of the Wobaoshi landslide (in Bazhong, China)
Classification and susceptibility assessment of debris flow based on a semi-quantitative method combination of the fuzzy C-means algorithm, factor analysis and efficacy coefficient
Erosion after an extreme storm event in an arid fluvial system of the southern Atacama Desert: an assessment of the magnitude, return time, and conditioning factors of erosion and debris flow generation
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.
Karel Martínek, Kryštof Verner, Tomáš Hroch, Leta A. Megerssa, Veronika Kopačková, David Buriánek, Ameha Muluneh, Radka Kalinová, Miheret Yakob, and Muluken Kassa
Nat. Hazards Earth Syst. Sci., 21, 3465–3487, https://doi.org/10.5194/nhess-21-3465-2021, https://doi.org/10.5194/nhess-21-3465-2021, 2021
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This study combines field geological and geohazard mapping with remote sensing data. Geostatistical analysis evaluated precipitation, land use, vegetation density, rock mass strength, and tectonics. Contrasting tectonic and climatic setting of the Main Ethiopian Rift and uplifted Ethiopian Plateau have major impacts on the distribution of landslides.
Lauren Zweifel, Maxim Samarin, Katrin Meusburger, and Christine Alewell
Nat. Hazards Earth Syst. Sci., 21, 3421–3437, https://doi.org/10.5194/nhess-21-3421-2021, https://doi.org/10.5194/nhess-21-3421-2021, 2021
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Mountainous grassland areas can be severely affected by soil erosion, such as by shallow landslides. With an automated mapping approach we are able to locate shallow-landslide sites on aerial images for 10 different study sites across Swiss mountain regions covering a total of 315 km2. Using a statistical model we identify important explanatory variables for shallow-landslide occurrence for the individual sites as well as across all regions, which highlight slope, aspect and terrain roughness.
Ivo Janos Fustos-Toribio, Bastian Morales-Vargas, Marcelo Somos-Valenzuela, Pablo Moreno-Yaeger, Ramiro Muñoz-Ramirez, Ines Rodriguez Araneda, and Ningsheng Chen
Nat. Hazards Earth Syst. Sci., 21, 3015–3029, https://doi.org/10.5194/nhess-21-3015-2021, https://doi.org/10.5194/nhess-21-3015-2021, 2021
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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.
Katy Burrows, David Milledge, Richard J. Walters, and Dino Bellugi
Nat. Hazards Earth Syst. Sci., 21, 2993–3014, https://doi.org/10.5194/nhess-21-2993-2021, https://doi.org/10.5194/nhess-21-2993-2021, 2021
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When cloud cover obscures optical satellite imagery, there are two options remaining for generating information on earthquake-triggered landslide locations: (1) models which predict landslide locations based on, e.g., slope and ground shaking data and (2) satellite radar data, which penetrates cloud cover and is sensitive to landslides. Here we show that the two approaches can be combined to give a more consistent and more accurate model of landslide locations after an earthquake.
Alex Garcés, Gerardo Zegers, Albert Cabré, Germán Aguilar, Aldo Tamburrino, and Santiagio Montserrat
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-266, https://doi.org/10.5194/nhess-2021-266, 2021
Revised manuscript accepted for NHESS
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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, 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.
Jacob Hirschberg, Alexandre Badoux, Brian W. McArdell, Elena Leonarduzzi, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 21, 2773–2789, https://doi.org/10.5194/nhess-21-2773-2021, https://doi.org/10.5194/nhess-21-2773-2021, 2021
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Debris-flow prediction is often based on rainfall thresholds, but uncertainty assessments are rare. We established rainfall thresholds using two approaches and find that 25 debris flows are needed for uncertainties to converge in an Alpine basin and that the suitable method differs for regional compared to local thresholds. Finally, we demonstrate the potential of a statistical learning algorithm to improve threshold performance. These findings are helpful for early warning system development.
Jason Goetz, Robin Kohrs, Eric Parra Hormazábal, Manuel Bustos Morales, María Belén Araneda Riquelme, Cristián Henríquez, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 21, 2543–2562, https://doi.org/10.5194/nhess-21-2543-2021, https://doi.org/10.5194/nhess-21-2543-2021, 2021
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Debris flows are fast-moving landslides that can cause incredible destruction to lives and property. Using the Andes of Santiago as an example, we developed tools to finetune and validate models predicting likely runout paths over large regions. We anticipate that our automated approach that links the open-source R software with SAGA-GIS will make debris-flow runout simulation more readily accessible and thus enable researchers and spatial planners to improve regional-scale hazard assessments.
Christian Zangerl, Annemarie Schneeberger, Georg Steiner, and Martin Mergili
Nat. Hazards Earth Syst. Sci., 21, 2461–2483, https://doi.org/10.5194/nhess-21-2461-2021, https://doi.org/10.5194/nhess-21-2461-2021, 2021
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The Köfels rockslide in the Ötztal Valley (Austria) represents the largest known extremely rapid rockslide in metamorphic rock masses in the Alps and was formed in the early Holocene. Although many hypotheses for the conditioning and triggering factors were discussed in the past, until now no scientifically accepted explanatory model has been found. This study provides new data and numerical modelling results to better understand the cause and triggering factors of this gigantic natural event.
Nan Wang, Luigi Lombardo, Marj Tonini, Weiming Cheng, Liang Guo, and Junnan Xiong
Nat. Hazards Earth Syst. Sci., 21, 2109–2124, https://doi.org/10.5194/nhess-21-2109-2021, https://doi.org/10.5194/nhess-21-2109-2021, 2021
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This study exploits 66 years of flash flood disasters across China.
The conclusions are as follows. The clustering procedure highlights distinct spatial and temporal patterns of flash flood disasters at different scales. There are distinguished seasonal, yearly and even long-term persistent flash flood behaviors of flash flood disasters. Finally, the decreased duration of clusters in the recent period indicates a possible activation induced by short-duration extreme rainfall events.
Xun Wang, Marco Otto, and Dieter Scherer
Nat. Hazards Earth Syst. Sci., 21, 2125–2144, https://doi.org/10.5194/nhess-21-2125-2021, https://doi.org/10.5194/nhess-21-2125-2021, 2021
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We applied a high-resolution, gridded atmospheric data set combined with landslide inventories to investigate the atmospheric triggers, define triggering thresholds, and characterize the climatic disposition of landslides in Kyrgyzstan and Tajikistan. Our results indicate the crucial role of snowmelt in landslide triggering and prediction in Kyrgyzstan and Tajikistan, as well as the added value of climatic disposition derived from atmospheric triggering conditions.
David Graham Milledge, Dino G. Bellugi, Jack Watt, and Alexander Logan Densmore
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-168, https://doi.org/10.5194/nhess-2021-168, 2021
Revised manuscript accepted for NHESS
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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 an earthquake using thousands of free satellite images. We found that in the majority of cases, it was better able to identify the locations of landslides than the manual maps that we tested it against.
Andrea Abbate, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 21, 2041–2058, https://doi.org/10.5194/nhess-21-2041-2021, https://doi.org/10.5194/nhess-21-2041-2021, 2021
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In this paper the relation between the intensity of meteorological events and the magnitude of triggered geo-hydrological issues was examined. A back analysis was developed across a region of the central Alps. The meteorological triggers were interpreted using two approaches: the first using local rain gauge data and a new one considering meteorological reanalysis maps. The results obtained were compared and elaborated for defining a magnitude of each geo-hydrological event.
Isidro Cantarino, Miguel Angel Carrion, Jose Sergio Palencia-Jimenez, and Víctor Martínez-Ibáñez
Nat. Hazards Earth Syst. Sci., 21, 1847–1866, https://doi.org/10.5194/nhess-21-1847-2021, https://doi.org/10.5194/nhess-21-1847-2021, 2021
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Risk ratio (RR), developed in this paper, stands out as a robust indicator for finding the relationship between residential construction and its associated landslide risk. It proved especially useful for municipalities on the Mediterranean coast, since it differentiates between those that take on a higher risk and those that do not. Our research establishes valuable criteria to find how suitable a specific local entity's risk management is and explore what causes the incidence of landslide risk.
Marta Martinengo, Daniel Zugliani, and Giorgio Rosatti
Nat. Hazards Earth Syst. Sci., 21, 1769–1784, https://doi.org/10.5194/nhess-21-1769-2021, https://doi.org/10.5194/nhess-21-1769-2021, 2021
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Rainfall thresholds are relations between rainfall intensity and duration on which the forecast of the possible occurrence of a debris flow can be based. To check the robustness of a physically based stony debris flow rainfall threshold, in this work we developed a procedure to estimate the effects of various sources of error on the determination of the threshold parameters. Results show that these effects are limited and therefore show the good robustness of the threshold estimate.
Anne-Laure Argentin, Jörg Robl, Günther Prasicek, Stefan Hergarten, Daniel Hölbling, Lorena Abad, and Zahra Dabiri
Nat. Hazards Earth Syst. Sci., 21, 1615–1637, https://doi.org/10.5194/nhess-21-1615-2021, https://doi.org/10.5194/nhess-21-1615-2021, 2021
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This study relies on topography to simulate the origin and displacement of potentially river-blocking landslides. It highlights a continuous range of simulated landslide dams that go unnoticed in the field due to their small scale. The computation results show that landslide-dammed lake volume can be estimated from upstream drainage area and landslide volume, thus enabling an efficient hazard assessment of possible landslide-dammed lake volume – and flooding magnitude in case of dam failure.
Clàudia Abancó, Georgina L. Bennett, Adrian J. Matthews, Mark Anthony M. Matera, and Fibor J. Tan
Nat. Hazards Earth Syst. Sci., 21, 1531–1550, https://doi.org/10.5194/nhess-21-1531-2021, https://doi.org/10.5194/nhess-21-1531-2021, 2021
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In 2018 Typhoon Mangkhut triggered thousands of landslides in the Itogon region (Philippines). An inventory of 1101 landslides revealed that landslides mostly occurred in slopes covered by wooded grassland in clayey materials, predominantly facing E-SE. Satellite rainfall and soil moisture data associated with Typhoon Mangkhut and the previous months in 2018 were analyzed. Results showed that landslides occurred during high-intensity rainfall that coincided with the highest soil moisture values.
Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 21, 1467–1471, https://doi.org/10.5194/nhess-21-1467-2021, https://doi.org/10.5194/nhess-21-1467-2021, 2021
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This is a perspective based on personal experience on whether a large number of landslides caused by a single trigger (e.g. an earthquake, an intense rainfall, a rapid snowmelt event) or by multiple triggers in a period can be predicted, in space and time, considering the consequences of slope failures.
Silvan Leinss, Enrico Bernardini, Mylène Jacquemart, and Mikhail Dokukin
Nat. Hazards Earth Syst. Sci., 21, 1409–1429, https://doi.org/10.5194/nhess-21-1409-2021, https://doi.org/10.5194/nhess-21-1409-2021, 2021
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A cluster of 13 large mass flow events including five detachments of entire valley glaciers was observed in the Petra Pervogo range, Tajikistan, in 1973–2019. The local clustering provides additional understanding of the influence of temperature, seismic activity, and geology. Most events occurred in summer of years with mean annual air temperatures higher than the past 46-year trend. The glaciers rest on weak bedrock and are rather short, making them sensitive to friction loss due to meltwater.
Zhu Liang, Changming Wang, Donghe Ma, and Kaleem Ullah Jan Khan
Nat. Hazards Earth Syst. Sci., 21, 1247–1262, https://doi.org/10.5194/nhess-21-1247-2021, https://doi.org/10.5194/nhess-21-1247-2021, 2021
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In previous studies of landslide susceptibility mapping, one inventory is for one kind of landslide. However, this causes some problems for prevention and management. This study aims to map two kinds of landslides and use the results on the same map to explore the potential relationship. Through superimposition of two zoning maps, this provides a new way to evaluate the disaster chain and provides a valuable reference for land use planners.
Adeline Delonca, Yann Gunzburger, and Thierry Verdel
Nat. Hazards Earth Syst. Sci., 21, 1263–1278, https://doi.org/10.5194/nhess-21-1263-2021, https://doi.org/10.5194/nhess-21-1263-2021, 2021
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Rockfalls are a major sources of danger, particularly along transportation routes. Thus, the assessment of their occurrence is a major challenge for risk management. One interesting factor involved in the occurrence of an event is the failure mechanism of rock bridges along the potential failure plane. This work proposes to study the phenomenology of this failure considering numerical modelling. The influence of rock bridge position in regard to the rockfall failure mode is highlighted.
Richard Guthrie and Andrew Befus
Nat. Hazards Earth Syst. Sci., 21, 1029–1049, https://doi.org/10.5194/nhess-21-1029-2021, https://doi.org/10.5194/nhess-21-1029-2021, 2021
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In order to address a need for a debris flow or debris avalanche model that can be applied regionally with relatively few inputs, we developed and present herein an agent-based landslide-simulation model called DebrisFlow Predictor. DebrisFlow Predictor is a fully predictive, probabilistic debris flow runout model. It produces realistic results and can be applied easily to entire regions. We hope that the model will provide useful insight into hazard and risk assessments where it is applicable.
Mylène Jacquemart and Kristy Tiampo
Nat. Hazards Earth Syst. Sci., 21, 629–642, https://doi.org/10.5194/nhess-21-629-2021, https://doi.org/10.5194/nhess-21-629-2021, 2021
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We used interferometric radar coherence – a data quality indicator typically used to assess the reliability of radar interferometry data – to document the destabilization of the Mud Creek landslide in California, 5 months prior to its catastrophic failure. We calculated a time series of coherence on the slide relative to the surrounding hillslope and suggest that this easy-to-compute metric might be useful for assessing the stability of a hillslope.
Zongxing Zou, Huiming Tang, Robert E. Criss, Xinli Hu, Chengren Xiong, Qiong Wu, and Yi Yuan
Nat. Hazards Earth Syst. Sci., 21, 517–532, https://doi.org/10.5194/nhess-21-517-2021, https://doi.org/10.5194/nhess-21-517-2021, 2021
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The evolutionary trend of deforming landslides and feasible treatments for huge reservoir landslides needs further study. A geomechanical model is presented to elucidate the deformation mechanism of reservoir landslides. The deformation process of Shuping landslide is well interpreted by the geomechanical model. A successful engineering treatment is applied in treating the Shuping landslide, providing references for treating other huge landslides in the Three Gorges Reservoir area.
Sansar Raj Meena, Florian Albrecht, Daniel Hölbling, Omid Ghorbanzadeh, and Thomas Blaschke
Nat. Hazards Earth Syst. Sci., 21, 301–316, https://doi.org/10.5194/nhess-21-301-2021, https://doi.org/10.5194/nhess-21-301-2021, 2021
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Comprehensive and sustainable landslide management, including identification of landslide-susceptible areas, requires a lot of organisations and people to collaborate efficiently. In this study, we propose a concept for a system that provides users with a platform to share the location of landslide events for further collaboration in Nepal. The system can be beneficial for specifying potentially risky regions and consequently, the development of risk mitigation strategies at the local level.
Séverine Bernardie, Rosalie Vandromme, Yannick Thiery, Thomas Houet, Marine Grémont, Florian Masson, Gilles Grandjean, and Isabelle Bouroullec
Nat. Hazards Earth Syst. Sci., 21, 147–169, https://doi.org/10.5194/nhess-21-147-2021, https://doi.org/10.5194/nhess-21-147-2021, 2021
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The present study evaluates the impacts of land use and climate change, based on scenarios, on landslide hazards in a Pyrenean valley from the present to 2100.
The results demonstrate the influence of land cover on slope stability through the presence and type of forest. Climate change may have a significant impact because of the increase of the soil water content. The results indicate that the occurrence of landslide hazards in the future is expected to increase.
Lorenzo Marchi, Federico Cazorzi, Massimo Arattano, Sara Cucchiaro, Marco Cavalli, and Stefano Crema
Nat. Hazards Earth Syst. Sci., 21, 87–97, https://doi.org/10.5194/nhess-21-87-2021, https://doi.org/10.5194/nhess-21-87-2021, 2021
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Debris-flow research requires experimental data that are difficult to collect because of the intrinsic characteristics of these hazardous processes. This paper presents debris-flow data recorded in the Moscardo Torrent (Italian Alps) between 1990 and 2019. In this time interval, 30 debris flows were observed. The paper presents data on triggering rainfall, flow velocity, peak discharge, and volume for the monitored hydrographs.
J. Bastian Dost, Oliver Gronz, Markus C. Casper, and Andreas Krein
Nat. Hazards Earth Syst. Sci., 20, 3501–3519, https://doi.org/10.5194/nhess-20-3501-2020, https://doi.org/10.5194/nhess-20-3501-2020, 2020
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We show the potential to observe the unconfined internal-motion behaviour of single clasts in landslides using a wireless sensor measuring acceleration and rotation. The probe's dimensions are 10 mm × 55 mm. It measures up to 16 g and 2000° s−1 with a 100 Hz sampling rate. From the data, we derive transport mode, velocity, displacement and 3D trajectories of several probes. Results are verified by high-speed image analysis and laser distance measurements.
Gioachino Roberti, Jacob McGregor, Sharon Lam, David Bigelow, Blake Boyko, Chris Ahern, Victoria Wang, Bryan Barnhart, Clinton Smyth, David Poole, and Stephen Richard
Nat. Hazards Earth Syst. Sci., 20, 3455–3483, https://doi.org/10.5194/nhess-20-3455-2020, https://doi.org/10.5194/nhess-20-3455-2020, 2020
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We show how INSPIRE, the European initiative to standardize data across borders, can be used to produce explainable AI-based applications. We do so by producing landslide susceptibility maps for the Veneto region in Italy. EU countries are mandated by law to implement the INSPIRE data framework by 2021, but they are aligning and serving INSPIRE data at a slow pace. Our paper can provide a boost to INSPIRE implementation as it shows the value of standardized data.
Robert Emberson, Dalia Kirschbaum, and Thomas Stanley
Nat. Hazards Earth Syst. Sci., 20, 3413–3424, https://doi.org/10.5194/nhess-20-3413-2020, https://doi.org/10.5194/nhess-20-3413-2020, 2020
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Landslides cause thousands of fatalities and cost billions of dollars of damage worldwide every year, but different inventories of landslide events can have widely diverging completeness. This can lead to spatial biases in our understanding of the impacts. Here we use a globally homogeneous model of landslide hazard and exposure to provide consistent estimates of where landslides are most likely to cause damage to people, roads and other critical infrastructure at 1 km resolution.
Thierry Oppikofer, Reginald L. Hermanns, Vegard U. Jakobsen, Martina Böhme, Pierrick Nicolet, and Ivanna Penna
Nat. Hazards Earth Syst. Sci., 20, 3179–3196, https://doi.org/10.5194/nhess-20-3179-2020, https://doi.org/10.5194/nhess-20-3179-2020, 2020
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Damming of rivers is an important secondary effect of landslides due to upstream flooding and possible outburst floods in case of dam failure. For preliminary regional hazard and risk assessment of dams formed by rock slope failures in Norway, we developed semi-empirical relationships to assess the height and stability of dams based on an inventory of 69 dams formed by rock slope failures in southwestern Norway and published landslide dam inventories from other parts of the world.
Wentao Yang, Lianyou Liu, and Peijun Shi
Nat. Hazards Earth Syst. Sci., 20, 3215–3224, https://doi.org/10.5194/nhess-20-3215-2020, https://doi.org/10.5194/nhess-20-3215-2020, 2020
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We analysed deformation of a moving slope along the Jinsha River from November 2015 to November 2019. The slope is 80 km downstream from the famous Baige landslide, which caused two mega floods affecting downstream communities. This slope was relatively stable for the first 3 years (2015–2018) but moved significantly in the last year (2018–2019). The deformation is linked to seasonal precipitation. If this slope continues to slide downwards, it may have similar impacts to the Baige landslide.
Katy Burrows, Richard J. Walters, David Milledge, and Alexander L. Densmore
Nat. Hazards Earth Syst. Sci., 20, 3197–3214, https://doi.org/10.5194/nhess-20-3197-2020, https://doi.org/10.5194/nhess-20-3197-2020, 2020
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Satellite radar could provide information on landslide locations within days of an earthquake or rainfall event anywhere on Earth, but until now there has been a lack of systematic testing of possible radar methods, and most methods have been demonstrated using a single case study event and data from a single satellite sensor. Here we test five methods on four events, demonstrating their wide applicability and making recommendations on when different methods should be applied in the future.
Elisa Bozzolan, Elizabeth Holcombe, Francesca Pianosi, and Thorsten Wagener
Nat. Hazards Earth Syst. Sci., 20, 3161–3177, https://doi.org/10.5194/nhess-20-3161-2020, https://doi.org/10.5194/nhess-20-3161-2020, 2020
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We include informal housing in slope stability analysis, considering different slope properties and precipitation events (including climate change). The dominant failure processes are identified, and their relative role in slope failure is quantified. A new rainfall threshold is assessed for urbanised slopes. Instability
rulesare provided to recognise urbanised slopes most at risk. The methodology is suitable for regions with scarce field measurements and landslide inventories.
Wen Zhang, Jia Wang, Peihua Xu, Junqing Lou, Bo Shan, Fengyan Wang, Chen Cao, Xiaoxue Chen, and Jinsheng Que
Nat. Hazards Earth Syst. Sci., 20, 2921–2935, https://doi.org/10.5194/nhess-20-2921-2020, https://doi.org/10.5194/nhess-20-2921-2020, 2020
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Slope failure is extremely common in mountainous areas. Therefore, the stability and potential failure of slopes must be analysed accurately. For most fractured rock slopes, the aforementioned analyses are considerably challenging. This study aims to propose a comprehensive approach that combines three well-established methods to conduct the aformentioned analyses. Finally, the critical slip surface, factor of safety, and accumulation distance are selected for safety assurance in slope analysis.
Elena Leonarduzzi and Peter Molnar
Nat. Hazards Earth Syst. Sci., 20, 2905–2919, https://doi.org/10.5194/nhess-20-2905-2020, https://doi.org/10.5194/nhess-20-2905-2020, 2020
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Landslides are a natural hazard that affects alpine regions. Here we focus on rainfall-induced shallow landslides and one of the most widely used approaches for their predictions: rainfall thresholds. We design several comparisons utilizing a landslide database and rainfall records in Switzerland. We find that using daily rather than hourly rainfall might be a better option in some circumstances, and mean annual precipitation and antecedent wetness can improve predictions at the regional scale.
Baoqin Lian, Xingang Wang, Jianbing Peng, and Qiangbing Huang
Nat. Hazards Earth Syst. Sci., 20, 2843–2856, https://doi.org/10.5194/nhess-20-2843-2020, https://doi.org/10.5194/nhess-20-2843-2020, 2020
Qin Chen, Lixia Chen, Lei Gui, Kunlong Yin, Dhruba Pikha Shrestha, Juan Du, and Xuelian Cao
Nat. Hazards Earth Syst. Sci., 20, 2547–2565, https://doi.org/10.5194/nhess-20-2547-2020, https://doi.org/10.5194/nhess-20-2547-2020, 2020
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Previous studies have focused on generalized vulnerability assessment from landslides or other types of slope failures, such as debris flow and rockfall. The proposed study establishes a three-step approach to investigate the physical vulnerability of buildings affected by slow-moving landslides. Herein, good consistency between the estimated building physical vulnerability and in-field damage evidence was found.
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.
Massimo Melillo, Stefano Luigi Gariano, Silvia Peruccacci, Roberto Sarro, Rosa Marìa Mateos, and Maria Teresa Brunetti
Nat. Hazards Earth Syst. Sci., 20, 2307–2317, https://doi.org/10.5194/nhess-20-2307-2020, https://doi.org/10.5194/nhess-20-2307-2020, 2020
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In the Canary Islands, a link between rainfall and rockfall occurrence is found for most of the year, except for the warm season. Empirical rainfall thresholds for rockfalls are first proposed for Gran Canaria and Tenerife, and the dependence of the thresholds on the mean annual rainfall is discussed. The use of thresholds in early-warning systems might contribute to the mitigation of the rockfall hazard in the archipelago and reduce the associated risk.
Sandro Rossato, Susan Ivy-Ochs, Silvana Martin, Alfio Viganò, Christof Vockenhuber, Manuel Rigo, Giovanni Monegato, Marco De Zorzi, Nicola Surian, Paolo Campedel, and Paolo Mozzi
Nat. Hazards Earth Syst. Sci., 20, 2157–2174, https://doi.org/10.5194/nhess-20-2157-2020, https://doi.org/10.5194/nhess-20-2157-2020, 2020
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Rock avalanches are extremely dangerous, causing much damage worldwide. The
Masiere di Vedanais a rock avalanche deposit (9 km2, 170 Mm3) in NE Italy. We dated it back to late Roman to early Middle Ages. Identified drivers are the overall structural setting, exceptional rainfall events and seismic shakings. No exceptional event is required as a trigger. When dealing with heavily deformed bedrocks, especially in inhabited areas, the occurrence of a huge event like this must be considered.
Gerardo Zegers, Pablo A. Mendoza, Alex Garces, and Santiago Montserrat
Nat. Hazards Earth Syst. Sci., 20, 1919–1930, https://doi.org/10.5194/nhess-20-1919-2020, https://doi.org/10.5194/nhess-20-1919-2020, 2020
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We perform a sensitivity analysis on the parameters of a numerical debris flow model and examine the effects of using post-event measurements on two creeks in Chile. Our results demonstrate the utility of sensitivity analysis in debris flow modeling and the benefits of post-event observations on parameter identifiability. This study provides guidance on the choice of uncertain parameters, contributing to more reliable simulations for debris flow risk assessments and land use planning.
Meng Lu, Jie Zhang, Lulu Zhang, and Limin Zhang
Nat. Hazards Earth Syst. Sci., 20, 1833–1846, https://doi.org/10.5194/nhess-20-1833-2020, https://doi.org/10.5194/nhess-20-1833-2020, 2020
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When analyzing the risk of landslides hitting moving vehicles, the spacing between vehicles and the vehicle types on the highway can be highly uncertain. Using a highway slope case study in Hong Kong, this paper presents a method to assess the risk of moving vehicles being hit by a rainfall-induced landslide; the method allows for the investigation of the possible number of different types of vehicles hit by the landslide and provides a new guideline for highway slope design.
Hu Zhao and Julia Kowalski
Nat. Hazards Earth Syst. Sci., 20, 1441–1461, https://doi.org/10.5194/nhess-20-1441-2020, https://doi.org/10.5194/nhess-20-1441-2020, 2020
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We study the impact of topographic uncertainty on landslide run-out modeling using conditional and unconditional stochastic simulation. First, we propose a generic workflow and then apply it to a historic flow-like landslide. We find that topographic uncertainty can greatly affect landslide run-out modeling, depending on how well the underlying flow path is captured by topographic data. The difference between unconditional and conditional stochastic simulation is discussed in detail.
Iván Vergara, Stella M. Moreiras, Diego Araneo, and René Garreaud
Nat. Hazards Earth Syst. Sci., 20, 1353–1367, https://doi.org/10.5194/nhess-20-1353-2020, https://doi.org/10.5194/nhess-20-1353-2020, 2020
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Geo-climatic hazards usually cause large losses of human life and economic losses. As they are very susceptible to weather, in many regions of the world these hazards are changing in frequency and magnitude due to current climate change. The purpose of this paper is to understand if, in the subtropical Andes of Argentina, these phenomena are increasing or decreasing and subsequently to understand the causes of these possible changes.
Feng Ji, Zili Dai, and Renjie Li
Nat. Hazards Earth Syst. Sci., 20, 1321–1334, https://doi.org/10.5194/nhess-20-1321-2020, https://doi.org/10.5194/nhess-20-1321-2020, 2020
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Southwest China is a severe disaster zone in terms of debris flow. To analyze the susceptibility to debris flows in this area, this study evaluates 70 typical debris flow gullies as statistical samples and proposes an empirical model based on quantification theory. A total of 10 debris flow gullies on the upstream of the Dadu River are analyzed to verify the reliability of the proposed model. The results show that the accuracy of the statistical model is 90 %.
Yimin Liu, Chenghu Wang, Guiyun Gao, Pu Wang, Zhengyang Hou, and Qisong Jiao
Nat. Hazards Earth Syst. Sci., 20, 1305–1319, https://doi.org/10.5194/nhess-20-1305-2020, https://doi.org/10.5194/nhess-20-1305-2020, 2020
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We considered a translational landslide exhibiting an unusual morphology, i.e., the Wobaoshi landslide. The deformation and failure mode of the plate-shaped bodies were analyzed and investigated based on numerical simulations and calculations. The monitoring data and geomechanical model proved that the accumulated water pressure in cracks causes the plate-shaped bodies to creep. Therefore, these research findings are of reference significance for the
rainfall-induced translational landslides.
Zhu Liang, Changming Wang, Songling Han, Kaleem Ullah Jan Khan, and Yiao Liu
Nat. Hazards Earth Syst. Sci., 20, 1287–1304, https://doi.org/10.5194/nhess-20-1287-2020, https://doi.org/10.5194/nhess-20-1287-2020, 2020
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The present study built a semi-quantitative classification and susceptibility assessment method for a study area, combining multiple mathematical methods and 3S technologies. The results have been verified with field investigation and other evaluation methods. Different methods have their own advantages and disadvantages, and some methods are complementary to a certain extent, so it is desirable to enhance the rationality of the application through the combination of multiple methods.
Germán Aguilar, Albert Cabré, Victor Fredes, and Bruno Villela
Nat. Hazards Earth Syst. Sci., 20, 1247–1265, https://doi.org/10.5194/nhess-20-1247-2020, https://doi.org/10.5194/nhess-20-1247-2020, 2020
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We have calculated erosion caused by an extreme storm in the Atacama Desert. Erosion distribution depends on the ability of catchments to store sediments in stream networks between storms and generate debris flows during the storm. The order of magnitude of erosion is the same as the erosion rates calculated over the long term, so these storms have a relevant influence on the evolution of these arid fluvial systems.
Cited articles
Aleotti, P.: A warning system for rainfall-induced shallow failures, Eng. Geol.,
73, 247–265, https://doi.org/10.1016/j.enggeo.2004.01.007, 2004.
Althuwaynee, O., Pradhan, B., and Ahmad, N.: Estimation of rainfall threshold
and its use in landslide hazard mapping of Kuala Lumpur metropolitan and
surrounding areas, Landslides, 12, 861–875, https://doi.org/10.1007/s10346-014-0512-y, 2015.
Aristizábal, E., García, E., and Martínez, C.: Susceptibility
assessment of shallow landslides triggered by rainfall in tropical basins and
mountainous terrains, Nat. Hazards, 78, 621–634, https://doi.org/10.1007/s11069-015-1736-4, 2015.
Berti, M., Martina, M.L.V., Franceschini, S., Pignone, S., Simoni, A., and
Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence using
a Bayesian approach, J. Geophys. Res.-Earth, 117, 1–20, https://doi.org/10.1029/2012JF002367, 2012.
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives on
precipitation intensity-duration thresholds for landslide initiation: Proposing
hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18, 31–39,
https://doi.org/10.5194/nhess-18-31-2018, 2018.
Broeckx, J., Vanmaercke, M., Duchateau, R., and Poesen, J.: A data-based
landslide susceptibility map of Africa, Earth-Sci. Rev., 185, 102–121,
https://doi.org/10.1016/j.earscirev.2018.05.002, 2018.
Brunetti, M. T., Peruccacci, S., Rossi, M., Luciani, S., Valigi, D., and
Guzzetti, F.: Rainfall thresholds for the possible occurrence of landslides
in Italy, Nat. Hazards Earth Syst. Sci., 10, 447–458, https://doi.org/10.5194/nhess-10-447-2010, 2010.
Brunetti, M.T., Melillo, M., Peruccacci, S., Ciabatta, L., and Brocca, L.: How
far are we from the use of satellite rainfall products in landslide forecasting?,
Remote Sens. Environ., 210, 65–75, https://doi.org/10.1016/j.rse.2018.03.016, 2018.
Capparelli, G. and Versace, P.: FLaIR and SUSHI: Two mathematical models for
early warning of landslides induced by rainfall, Landslides, 8, 67–79,
https://doi.org/10.1007/s10346-010-0228-6, 2011.
Chleborad, A., Baum, R., and Godt, J.: Rainfall thresholds for forecasting
landslides in the Seattle, Washington, area – Exceedance and probability,
US Geological Survey Open-File Report 2006, US Geological Survey, Reston,
Virginia, USA, 1–31, 2006.
Crosta, G. B.: Regionalization of rainfall thresholds-an aid to landslide
hazard evaluation, Environ. Geol., 35, 131–145, https://doi.org/10.1007/s002540050300, 1998.
Crosta, G. B. and Frattini, P.: Rainfall thresholds for triggering soil slips
and debris flow, edited by: Mugnai, A., Guzzetti, F., and Roth, G., in:
Proceedings of the 2nd EGS Plinius Conference on Mediterranean Storms, Siena,
Italy, 463–487, 2001.
Crozier, M. J.: The climate-landslide couple: a southern hemisphere perspective,
in: Rapid Mass Movement as a Source of Climatic Evidence for the Holocene,
edited by: Matthews, J. A., Brunsden, D., Frenzel, B., Gläser, B., and
Weiß, M., Gustav Fischer, Stuttgart, 333–354, 1997.
Crozier, M. J.: Prediction of rainfall-triggered landslides: A test of the
antecedent water status model, Earth Surf. Proc. Land., 24, 825–833,
https://doi.org/10.1002/(SICI)1096-9837(199908)24:9<825::AID-ESP14>3.0.CO;2-M, 1999.
Cullen, C. A., Al-Suhili, R., and Khanbilvardi, R.: Guidance index for shallow
landslide hazard analysis, Remote Sensing, 8, 1–17, https://doi.org/10.3390/rs8100866, 2016.
Delvaux, D., Mulumba, J.-L., Ntabwoba Stanislas Sebagenzi, M., Fiama Bondo, S.,
Kervyn, F., and Havenith, H.-B.: Seismic hazard assessment of the Kivu rift
segment based on a new sismo- tectonic zonation model (Western Branch, East
African Rift system), J. Afr. Earth Sci., 134, 831–855, https://doi.org/10.1016/j.jafrearsci.2016.10.004, 2017.
Dezfuli, A. K.: Climate of western and central equatorial Africa, in: Climate
science, Oxford Research Encyclopedias, Oxford, https://doi.org/10.1093/acrefore/9780190228620.013.511, 2017.
Dille, A., Kervyn, F., Mugaruka Bibentyo, T., Delvaux, D., Ganza Bamulezi, G.,
Ilombe Mawe, G., Moeyersons, J., Monsieurs, E., Smets, B., Kervyn, M., and
Dewitte, O.: Questioning causes and drivers of slope instability in a tropical
context – insights from the Ikoma Landslide (DR Congo), Geophys. Res. Abstr.,
21, EGU2019-7680-1, 2019.
Dunne, T. and Dietrich, W. E.: Experimental study of Horton overland flow on
tropical hillslopes, J. Geomorphol., 35, 40–59, 1980.
Efron, B.: Bootstrap methods: Another look at jackknife, Ann. Stat., 7, 1–26, 1979.
Flageollet, J. C., Maquaire, O., Martin, B., and Weber, D.: Landslides and
climatic conditions in the Bracelonnette and Vars basins (Southern French Alps,
France), Geomorphology, 30, 65–78, https://doi.org/10.1016/S0169-555X(99)00045-8, 1999.
Fuhrmann, C., Konrad II, C., and Band, L.: Climatological perspectives on the
rainfall characteristics associated with landslides in western north California,
Phys. Geogr., 29, 289–305, https://doi.org/10.2747/0272-3646.29.4.289, 2008.
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate, Earth-Sci.
Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011, 2016.
Gariano, S. L., Brunetti, M. T., Iovine, G., Melillo, M., Peruccacci, S.,
Terranova, O., Vennari, C., and Guzzetti, F.: Calibration and validation of
rainfall thresholds for shallow landslide forecasting in Sicily, southern Italy,
Geomorphology, 228, 653–665, https://doi.org/10.1016/j.geomorph.2014.10.019, 2015.
Gebregiorgis, A. S., Kirstetter, P. E., Hong, Y. E., Gourley, J. J., Huffman,
G. J., Petersen, W. A., Xue, X., and Schwaller, M.R .: To What Extent is the
Day 1 GPM IMERG Satellite Precipitation Estimate Improved as Compared to TRMM
TMPA-RT?, J. Geophys. Res.-Atmos., 123, 1694–1707, https://doi.org/10.1002/2017JD027606, 2018.
Glade, T., Crozier, M., and Smith, P.: Applying probability determination to
refine landslide-triggerin rainfall thresholds using an emporical “Antecedent
Daily Rainfall Model”, Pure Appl. Geophys., 157, 1059–1079, https://doi.org/10.1007/s000240050017, 2000.
Guzzetti, F., Peruccacci, S., and Rossi, M.: Rainfall thresholds for the
initiation of landslides in central and southern Europe, Meteorol. Atmos. Phys.,
98, 239–267, https://doi.org/10.1007/s00703-007-0262-7, 2007.
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C. P.: The rainfall
intensity-duration control of shallow landslides and debris flows: An update,
Landslides, 5, 3–17, https://doi.org/10.1007/s10346-007-0112-1, 2008.
Hong, M., Kim, J., and Jeong, S.: Rainfall intensity-duration thresholds for
landslide prediction in South Korea by considering the effects of antecedent
rainfall, Landslides, 15, 523–534, https://doi.org/10.1007/s10346-017-0892-x, 2018.
Hong, Y., Adler, R., and Huffman, G.: Evaluation of the potential of NASA
multi-satellite precipitation analysis in global landslide hazard assessment,
Geophys. Res. Lett., 33, L22402, https://doi.org/10.1029/2006GL028010, 2006.
Huffman, G.: TRMM (TMPA-RT) Near Real-Time Precipitation L3 3 hour 0.25 degree × 0.25
degree V7, edited by: MacRitchie, K., Goddard Earth Sciences Data and Information
Services Center (GES DISC), Greenbelt, MD, https://doi.org/10.5067/TRMM/TMPA/3H-E/7, 2016.
Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F., Gu,
G., Hong, Y., Bowman, K. P., and Stocker, E. F.: The TRMM Multisatellite
Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor
Precipitation Estimates at Fine Scales, J. Hydrometeorol., 8, 38–55,
https://doi.org/10.1175/JHM560.1, 2007.
Jacobs, L., Dewitte, O., Poesen, J., Sekajugo, J., Nobile, A., Rossi, M.,
Thiery, W., and Kervyn, M.: Field-based landslide susceptibility assessment in
a data-scarce environment: the populated areas of the Rwenzori Mountains, Nat.
Hazards Earth Syst. Sci., 18, 105–124, https://doi.org/10.5194/nhess-18-105-2018, 2018.
King, G. and Zeng, L.: Logistic regression in rare events data, Polit. Anal.,
9, 137–163, https://doi.org/10.1162/00208180152507597, 2001.
Kirschbaum, D. B. and Stanley, T.: Satellite-Based Assessment of
Rainfall-Triggered Landslide Hazard for Situational Awareness, Earth's Future,
6, 505–523, https://doi.org/10.1002/2017EF000715, 2018.
Kirschbaum, D. B., Stanley, T., and Simmons, J.: A dynamic landslide hazard
assessment system for Central America and Hispaniola, Nat. Hazards Earth Syst.
Sci., 15, 2257–2272, https://doi.org/10.5194/nhess-15-2257-2015, 2015.
Lainas, S., Sabatakakis, N., and Koukis, G.: Rainfall thresholds for possible
landslide initiations in wildfire-affected areas of western Greece, Bull. Eng.
Geol. Environ., 75, 883–896, https://doi.org/10.1007/s10064-015-0762-5, 2016.
Langbein, J., Burford, R., and Slater, L.: Variations in fault slip and strain
accumulation at Parkfield, California: Initial results using two-color geodimeter
measurements, 1984–1988, J. Geophys. Res., 95, 2533–2552, https://doi.org/10.1029/JB095iB03p02533, 1990.
Liao, Z., Hong, Y., Wang, J., Fukuoka, H., Sassa, K., Karnawati, D., and
Fathani, F.: Prototyping an experimental early warning system for rainfall-induced
landslides in Indonesia using satellite remote sensing and geospatial datasets,
Landslides, 7, 317–324, https://doi.org/10.1007/s10346-010-0219-7, 2010.
Lollino, G., Arattano, M., Allasia, P., and Giordan, D.: Time response of a
landslide to meteorological events, Nat. Hazards Earth Syst. Sci., 6, 179–184,
https://doi.org/10.5194/nhess-6-179-2006, 2006.
Ma, T., Li, C., Lu, Z., and Wang, B.: An effective antecedent precipitation
model derived from the power-law relationship between landslide occurrence and
rainfall level, Geomorphology, 216, 187–192, https://doi.org/10.1016/j.geomorph.2014.03.033, 2014.
Maki Mateso, J. and Dewitte, O.: Towards an inventory of landslide processes
and the elements at risk on the Rift flanks west of Lake Kivu (DRC), Geo. Eco.
Trop., 38, 137–154, 2014.
Marra, F., Destro, E., Nikolopoulos, E., Davide, Z., Creutin, J. D., Guzzetti,
F., and Borga, M.: Impact of rainfall spatial aggregation on the identification
of debris flow occurrence thresholds, Hydrol. Earth Syst. Sci., 21, 4525–4532,
https://doi.org/10.5194/hess-21-4525-2017, 2017.
McGuire, K., DeWalle, D., and Gburek, W.: Evaluation of mean residence time in
subsurface waters using oxygen-18 fluctuations during drought conditions in the
mid-Appalachians, J. Hydrol., 261, 132–149, https://doi.org/10.1016/S0022-1694(02)00006-9, 2002.
Melillo, M., Brunetti, M. T., Peruccacci, S., Gariano, S. L., Roccati, A., and
Guzzetti, F.: A tool for the automatic calculation of rainfall thresholds for
landslide occurrence, Environ. Model. Softw., 105, 230–243, https://doi.org/10.1016/j.envsoft.2018.03.024, 2018.
Migoń, P. and Alcántara-Ayala, I.: Weathering and landform development
in a subtropical mountainous terrain, Veladero massif, Mexico, Z. Geomorphol.,
52, 1–16, https://doi.org/10.1127/0372-8854/2008/0052-0001, 2008.
Moeyersons, J., Trefois, P., Lavreau, J., Alimasi, D., Badriyo, I., Mitima, B.,
Mundala, M., Munganga, D. O., and Nahimana, L.: A geomorphological assessment
of landslide origin at Bukavu, Democratic Republic of the Congo, Eng. Geol.,
72, 73–87, https://doi.org/10.1016/j.enggeo.2003.06.003, 2004.
Monsieurs, E., Kirschbaum, D., Thiery, W., van Lipzig, N., Kervyn, M., Demoulin,
A., Jacobs, L., Kervyn, F., and Dewitte, O.: Constraints on Landslide-Climate
Research Imposed by the Reality of Fieldwork in Central Africa, in: 3rd North
Am. Symp. Landslides Landslides Putt. Exp. Knowledge, Emerg. Technol. into Pract.,
4–8 June 2017, Roanoke, Virginia, USA, 158–168, 2017.
Monsieurs, E., Jacobs, L., Michellier, C., Basimike Tchangaboba, J., Ganza, G.
B., Kervyn, F., Maki Mateso, J. C., Mugaruka Bibentyo, T., Kalikone Buzera, C.,
Nahimana, L., Ndayisenga, A., Nkurunziza, P., Thiery, W., Demoulin, A., Kervyn,
M., and Dewitte, O.: Landslide inventory for hazard assessment in a data-poor
context: a regional-scale approach in a tropical African environment, Landslides,
15, 2195–2209, https://doi.org/10.1007/s10346-018-1008-y, 2018a.
Monsieurs, E., Kirschbaum, D. B., Tan, J., Maki Mateso, J.-C., Jacobs, L.,
Plisnier, P.-D., Thiery, W., Umutoni, A., Musoni, D., Bibentyo, T. M., Ganza,
G. B., Mawe, G. I., Bagalwa, L., Kankurize, C., Michellier, C., Stanley, T.,
Kervyn, F., Kervyn, M., Demoulin, A., and Dewitte, O.: Evaluating TMPA rainfall
over the sparsely gauged East African Rift, J. Hydrometeorol., 19, 1507–1528,
https://doi.org/10.1175/JHM-D-18-0103.1, 2018b.
Montgomery, D. R. and William, E. D.: Runoff generation in a steep, soil-mantled
landscape, Water Resour. Res., 38, 1168, https://doi.org/10.1029/2001WR000822, 2002.
Napolitano, E., Fusco, F., Baum, R. L., Godt, J. W., and De Vita, P.: Effect of
antecedent-hydrological conditions on rainfall triggering of debris flows in
ash-fall pyroclastic mantled slopes of Campania (southern Italy), Landslides,
13, 967–983, https://doi.org/10.1007/s10346-015-0647-5, 2016.
Nikolopoulos, E. I., Crema, S., Marchi, L., Marra, F., Guzzetti, F., and Borga,
M.: Impact of uncertainty in rainfall estimation on the identification of
rainfall thresholds for debris flow occurrence, Geomorphology, 221, 286–297,
https://doi.org/10.1016/j.geomorph.2014.06.015, 2014.
Nikolopoulos, E. I., Destro, E., Maggioni, V., Marra, F., and Borga, M.:
Satellite Rainfall Estimates for Debris Flow Prediction: An Evaluation Based
on Rainfall Accumulation–Duration Thresholds, J. Hydrometeorol., 18, 2207–2214,
https://doi.org/10.1175/JHM-D-17-0052.1, 2017.
Nobile, A., Dille, A., Monsieurs, E., Basimike, J., Bibentyo, T. M., d'Oreye,
N., Kervyn, F., and Dewitte, O.: Multi-temporal DInSAR to characterise landslide
ground deformations in a tropical urban environment: focus on Bukavu (DR Congo),
Remote Sensing, 10, 626, https://doi.org/10.3390/rs10040626, 2018.
Parker, R. N., Hales, T. C., Mudd, S. M., Grieve, S. W., and Constantine, J.
A.: Colluvium supply in humid regions limits the frequency of storm-triggered
landslides, Sci. Rep., 6, 34438, https://doi.org/10.1038/srep34438, 2016.
Piciullo, L., Gariano, S. L., Melillo, M., Brunetti, M. T., Peruccacci, S.,
Guzzetti, F., and Calvello, M.: Definition and performance of a threshold-based
regional early warning model for rainfall-induced landslides, Landslides, 14,
995–1008, https://doi.org/10.1007/s10346-016-0750-2, 2017.
Postance, B., Hillier, J., Dijkstra, T., and Dixon, N.: Comparing threshold
definition techniques for rainfall-induced landslides: A national assessment
using radar rainfall, Earth Surf. Proc. Land., 43, 553–560, https://doi.org/10.1002/esp.4202, 2018.
Ritter, D. F.: Landscape analysis and the search for geomorphic unity, Geol.
Soc. Am. Bull., 100, 160–171, https://doi.org/10.1130/0016-7606(1988)100<0160:LAATSF>2.3.CO;2, 1988.
Robbins, J. C.: A probabilistic approach for assessing landslide-triggering
event rainfall in Papua New Guinea, using TRMM satellite precipitation estimates,
J. Hydrol., 541, 296–309, https://doi.org/10.1016/j.jhydrol.2016.06.052, 2016.
Roeloffs, E.: Creep rate changes at Parkfield, California 1966–1999: Seasonal,
precipitation induced, and tectonic, J. Geophys. Res., 106, 16525–16547,
https://doi.org/10.1029/2001JB000352, 2001.
Rossi, M., Luciani, S., Valigi, D., Kirschbaum, D., Brunetti, M. T., Peruccacci,
S., and Guzzetti, F.: Statistical approaches for the definition of landslide
rainfall thresholds and their uncertainty using rain gauge and satellite data,
Geomorphology, 285, 16–27, https://doi.org/10.1016/j.geomorph.2017.02.001, 2017.
Schellekens, J., Bruijnzeel, L. A., Scatena, F. N., Bink, N. J., and Holwerda,
F.: Evaporation from a tropical rain forest, Luquillo Experimental Forest,
eastern Puerto Rico, Water Resour. Res., 36, 2183–2196, https://doi.org/10.1029/2000WR900074, 2000.
Segoni, S., Rossi, G., Rosi, A., and Catani, F.: Landslides triggered by
rainfall: A semi-automated procedure to define consistent intensity-duration
thresholds, Comput. Geosci., 63, 123–131, https://doi.org/10.1016/j.cageo.2013.10.009, 2014.
Segoni, S., Piciullo, L., and Gariano, S. L.: A review of the recent literature
on rainfall thresholds for landslide occurrence, Landslides, 15, 1483–1501,
https://doi.org/10.1007/s10346-018-0966-4, 2018.
Sidle, R. C. and Bogaard, T. A.: Dynamic earth system and ecological controls
of rainfall-initiated landslides, Earth-Sci. Rev., 159, 275–291, https://doi.org/10.1016/j.earscirev.2016.05.013, 2016.
Stewart, M. and McDonnell, J.: Modeling base flow soil water residence times
from Deuterium concentrations, Water Resour. Res., 27, 2681–2693, https://doi.org/10.1029/91WR01569, 1991.
Vessia, G., Parise, M., Brunetti, M. T., Peruccacci, S., Rossi, M., Vennari, C.,
and Guzzetti, F.: Automated reconstruction of rainfall events responsible for
shallow landslides, Nat. Hazards Earth Syst. Sci., 14, 2399–2408,
https://doi.org/10.5194/nhess-14-2399-2014, 2014.
Vessia, G., Pisano, L., Vennari, C., Rossi, M., and Parise, M.: Mimic expert
judgement through automated procedure for selecting rainfall events responsible
for shallow landslide: a statistical approach to validation, Comput. Geosci.,
86, 146–153, https://doi.org/10.1016/j.cageo.2015.10.015, 2016.
Xu, R., Tian, F., Yang, L., Hu, H., Lu, H., and Hou, A.: Ground validation of
GPM IMERG and trmm 3B42V7 rainfall products over Southern Tibetan plateau based
on a high-density rain gauge network, J. Geophys. Res., 122, 910–924,
https://doi.org/10.1002/2016JD025418, 2017.
Zêzere, J. L., Trigo, R. M., and Trigo, I. F.: Shallow and deep landslides
induced by rainfall in the Lisbon region (Portugal): assessment of relationships
with the North Atlantic Oscillation, Nat. Hazards Earth Syst. Sci., 5, 331–344,
https://doi.org/10.5194/nhess-5-331-2005, 2005.
Short summary
We propose in this study a fundamentally new approach for the definition of minimum rainfall required for the initiation of landslides based on satellite-derived antecedent rainfall estimates directly coupled with data on surface susceptibility for landslides. We apply our approach in the western branch of the East African Rift and provide first regional rainfall thresholds for landsliding in tropical Africa.
We propose in this study a fundamentally new approach for the definition of minimum rainfall...
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