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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Axel Antonius Johannes Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-172, https://doi.org/10.5194/nhess-2022-172, 2022
Preprint under review for NHESS
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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 with accuracy when these processes occur remains challenging. Here we propose a new method using open-access satellite radar images. Our method allows to identify landslide and flash floods events in contrasting landscapes of tropical Africa with a time accuracy up to a few days. The methods show potential for transferability.
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
Revised manuscript 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.
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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).
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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.
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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.
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Robert Emberson, Dalia B. Kirschbaum, Pukar Amatya, Hakan Tanyas, and Odin Marc
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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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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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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.
Bastian van den Bout, Chenxiao Tang, Cees van Westen, and Victor Jetten
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-292, https://doi.org/10.5194/nhess-2021-292, 2022
Revised manuscript accepted for NHESS
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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, resulting 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.
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.
Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Thom Bogaard, Martin Rutzinger, and Christoph Spötl
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-388, https://doi.org/10.5194/nhess-2021-388, 2021
Revised manuscript accepted for NHESS
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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.
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.
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. Discuss., https://doi.org/10.5194/nhess-2021-345, https://doi.org/10.5194/nhess-2021-345, 2021
Revised manuscript accepted for NHESS
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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 hazards in pre-fire and postfire scenarios. Compared to pre-fire conditions, the postfire simulation yields dramatic increases in total and peak discharge, substantially increasing debris flow hazards. Our work demonstrates the utility of 3-D hydrologic models for investigating and potentially forecasting postfire debris flow hazards at regional scales.
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 Fustos, Nataly Manque, Daniel Vásquez, Mauricio Hermosilla, and Viviana Letelier
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-317, https://doi.org/10.5194/nhess-2021-317, 2021
Revised manuscript accepted for NHESS
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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.
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.
Yiwei Zhang, Jianping Chen, Qing Wang, Chun Tan, Yongchao Li, Xiaohui Sun, and Yang Li
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-254, https://doi.org/10.5194/nhess-2021-254, 2021
Revised manuscript accepted for NHESS
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Beijing is the capital, it is important to do research on disaster prevention and reduction. In this paper, the author found that the accuracy of susceptibility assessment model is improved by efficiently using the field survey data rather than data fitting. The study found that effective use of field survey data, reasonable classification and simplification of factors can improve the accuracy of susceptibility assessment method. A new factor-watershed volume is proposed in this paper.
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.
Katrin M. Nissen, Stefan Rupp, Thomas M. Kreuzer, Björn Guse, Bodo Damm, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-243, https://doi.org/10.5194/nhess-2021-243, 2021
Revised manuscript accepted for NHESS
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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 cycle 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.
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.
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.
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., Delvaux, D., Thiery, W., and Kervyn, M.:
The Rwenzori Mountains, a landslide-prone region?, Landslides, 13, 519–536,
https://doi.org/10.1007/s10346-015-0582-5, 2016.
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., and Guzzetti, F.:
Rainfall thresholds for the possible landslide occurrence in Sicily (Southern
Italy) based on the automatic reconstruction of rainfall events, Landslides,
13, 165–172, https://doi.org/10.1007/s10346-015-0630-1, 2016.
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.
Peruccacci, S., Brunetti, M. T., Luciani, S., Vennari, C., and Guzzetti, F.:
Lithological and seasonal control on rainfall thresholds for the possible
initiation of landslides in central Italy, Geomorphology, 139–140, 79–90,
https://doi.org/10.1016/j.geomorph.2011.10.005, 2012.
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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