Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3183–3209, 2022
https://doi.org/10.5194/nhess-22-3183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 22, 3183–3209, 2022
https://doi.org/10.5194/nhess-22-3183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
06 Oct 2022
Research article
| 06 Oct 2022
Physically based modeling of co-seismic landslide, debris flow, and flood cascade
Bastian van den Bout et al.
Related authors
Bastian van den Bout, Theo van Asch, Wei Hu, Chenxiao X. Tang, Olga Mavrouli, Victor G. Jetten, and Cees J. van Westen
Geosci. Model Dev., 14, 1841–1864, https://doi.org/10.5194/gmd-14-1841-2021, https://doi.org/10.5194/gmd-14-1841-2021, 2021
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Landslides, debris flows and other types of dense gravity-driven flows threaten livelihoods around the globe. Understanding the mechanics of these flows can be crucial for predicting their behaviour and reducing disaster risk. Numerical models assume that the solids and fluids of the flow are unstructured. The newly presented model captures the internal structure during movement. This important step can lead to more accurate predictions of landslide movement.
Bastian van den Bout, Theo van Asch, Wei Hu, Chenxiao X. Tang, Olga Mavrouli, Victor G. Jetten, and Cees J. van Westen
Geosci. Model Dev., 14, 1841–1864, https://doi.org/10.5194/gmd-14-1841-2021, https://doi.org/10.5194/gmd-14-1841-2021, 2021
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Landslides, debris flows and other types of dense gravity-driven flows threaten livelihoods around the globe. Understanding the mechanics of these flows can be crucial for predicting their behaviour and reducing disaster risk. Numerical models assume that the solids and fluids of the flow are unstructured. The newly presented model captures the internal structure during movement. This important step can lead to more accurate predictions of landslide movement.
Lina Hao, Rajaneesh A., Cees van Westen, Sajinkumar K. S., Tapas Ranjan Martha, Pankaj Jaiswal, and Brian G. McAdoo
Earth Syst. Sci. Data, 12, 2899–2918, https://doi.org/10.5194/essd-12-2899-2020, https://doi.org/10.5194/essd-12-2899-2020, 2020
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Kerala in India was subjected to an extreme rainfall event in the monsoon season of 2018 which triggered extensive floods and landslides. In order to study whether the landslides were related to recent land use changes, we generated an accurate and almost complete landslide inventory based on two existing datasets and the detailed interpretation of images from the Google Earth platform. The final dataset contains 4728 landslides with attributes of land use in 2010 and land use in 2018.
Chenxiao Tang, Xinlei Liu, Yinghua Cai, Cees Van Westen, Yu Yang, Hai Tang, Chengzhang Yang, and Chuan Tang
Nat. Hazards Earth Syst. Sci., 20, 1163–1186, https://doi.org/10.5194/nhess-20-1163-2020, https://doi.org/10.5194/nhess-20-1163-2020, 2020
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Recovering from major earthquakes is a challenge due to a destablized environment. Over 11 years, we monitored a region hit by the Wenchuan earthquake, finding the loss caused by postseismic hazards was more than that caused by the earthquake. The main reason was a rush in reconstruction without proper hazard and risk assessment. It was concluded that postseismic recovery should consider not only spatial but also temporal dynamics of hazards as well as possible interaction among hazards.
Jianqiang Zhang, Cees J. van Westen, Hakan Tanyas, Olga Mavrouli, Yonggang Ge, Samjwal Bajrachary, Deo Raj Gurung, Megh Raj Dhital, and Narendral Raj Khanal
Nat. Hazards Earth Syst. Sci., 19, 1789–1805, https://doi.org/10.5194/nhess-19-1789-2019, https://doi.org/10.5194/nhess-19-1789-2019, 2019
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The aim of this study is to investigate the differences in the mappable characteristics of earthquake-triggered and rainfall triggered landslides in terms of their frequency–area relationships, spatial distributions and relation with causal factors, as well as to evaluate whether separate susceptibility maps generated for specific landslide size and triggering mechanism are better than a generic landslide susceptibility assessment including all landslide sizes and triggers.
Chenxiao Tang, Cees J. Van Westen, Hakan Tanyas, and Victor G. Jetten
Nat. Hazards Earth Syst. Sci., 16, 2641–2655, https://doi.org/10.5194/nhess-16-2641-2016, https://doi.org/10.5194/nhess-16-2641-2016, 2016
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Post-seismic landslides highlighted the need for more research to provide critical information for reconstruction. By mapping detailed landslide inventories, our work shows that most of the landslide activities were concentrated within the first 3 years after the earthquake, and they are majorly determined by vegetation regrowth, available volumes of loose materials, and extreme rainfall events. The landslide activity will continue to decay, but it may be halted if extreme rainfall occurs.
Z. C. Aye, M. Jaboyedoff, M. H. Derron, C. J. van Westen, H. Y. Hussin, R. L. Ciurean, S. Frigerio, and A. Pasuto
Nat. Hazards Earth Syst. Sci., 16, 85–101, https://doi.org/10.5194/nhess-16-85-2016, https://doi.org/10.5194/nhess-16-85-2016, 2016
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This paper presents the development and application of a prototype web-GIS tool for risk analysis, in particular for floods and landslides, based on open-source software and web technologies. The aim is to assist experts (risk managers) in analysing the impacts and consequences of a certain hazard event in a considered region, contributing to open-source and research community in natural hazards and risk assessment. The tool is demonstrated using a regional data set of Fella River basin, Italy.
W. T. Yang, M. Wang, N. Kerle, C. J. Van Westen, L. Y. Liu, and P. J. Shi
Nat. Hazards Earth Syst. Sci., 15, 817–825, https://doi.org/10.5194/nhess-15-817-2015, https://doi.org/10.5194/nhess-15-817-2015, 2015
T. Turkington, J. Ettema, C. J. van Westen, and K. Breinl
Nat. Hazards Earth Syst. Sci., 14, 1517–1530, https://doi.org/10.5194/nhess-14-1517-2014, https://doi.org/10.5194/nhess-14-1517-2014, 2014
Related subject area
Landslides and Debris Flows Hazards
Finite-hillslope analysis of landslides triggered by excess pore water pressure: the roles of atmospheric pressure and rainfall infiltration during typhoons
Estimating global landslide susceptibility and its uncertainty through ensemble modeling
Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)
Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding
Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations
Augmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scars
What drives landslide risk? Disaggregating risk analyses, an example from the Franz Josef Glacier and Fox Glacier valleys, New Zealand
Geographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, China
Potential of satellite-derived hydro-meteorological information for landslide hazard assessment thresholds in Rwanda
Spatial assessment of probable recharge areas – investigating the hydrogeological controls of an active deep-seated gravitational slope deformation
Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes
Earthquake-induced landslides in Haiti: analysis of seismotectonic and possible climatic influences
Quantification of meteorological conditions for rockfall triggers in Germany
Debris flow velocity and volume estimations based on seismic data
Integration of observed and model-derived groundwater levels in landslide threshold models in Rwanda
Landsifier v1.0: a Python library to estimate likely triggers of mapped landslides
Landslides caught on seismic networks and satellite radars
Variable hydrograph inputs for a numerical debris-flow runout model
Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)
Brief communication: Introducing rainfall thresholds for landslide triggering based on artificial neural networks
Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine
Multiscale effects caused by the fracturing and fragmentation of rock blocks during rock mass movement: implications for rock avalanche propagation
Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery
Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping
Evaluation of filtering methods for use on high-frequency measurements of landslide displacements
A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event
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Main Ethiopian Rift landslides formed in contrasting geological settings and climatic conditions
Investigating causal factors of shallow landslides in grassland regions of Switzerland
Pre-collapse motion of the February 2021 Chamoli rock-ice avalanche, Indian Himalaya
Debris flow event on Osorno volcano, Chile, during summer 2017: new interpretations for chain processes in the southern Andes
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Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment
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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
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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
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Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141, https://doi.org/10.5194/nhess-22-3125-2022, https://doi.org/10.5194/nhess-22-3125-2022, 2022
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Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Anne Felsberg, Jean Poesen, Michel Bechtold, Matthias Vanmaercke, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 22, 3063–3082, https://doi.org/10.5194/nhess-22-3063-2022, https://doi.org/10.5194/nhess-22-3063-2022, 2022
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In this study we assessed global landslide susceptibility at the coarse 36 km spatial resolution of global satellite soil moisture observations to prepare for a subsequent combination of the two. Specifically, we focus therefore on the susceptibility of hydrologically triggered landslides. We introduce ensemble techniques, common in, for example, meteorology but not yet in the landslide community, to retrieve reliable estimates of the total prediction uncertainty.
Txomin Bornaetxea, Ivan Marchesini, Sumit Kumar, Rabisankar Karmakar, and Alessandro Mondini
Nat. Hazards Earth Syst. Sci., 22, 2929–2941, https://doi.org/10.5194/nhess-22-2929-2022, https://doi.org/10.5194/nhess-22-2929-2022, 2022
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One cannot know if there is a landslide or not in an area that one has not observed. This is an obvious statement, but when landslide inventories are obtained by field observation, this fact is seldom taken into account. Since fieldwork campaigns are often done following the roads, we present a methodology to estimate the visibility of the terrain from the roads, and we demonstrate that fieldwork-based inventories are underestimating landslide density in less visible areas.
Katy Burrows, Odin Marc, and Dominique Remy
Nat. Hazards Earth Syst. Sci., 22, 2637–2653, https://doi.org/10.5194/nhess-22-2637-2022, https://doi.org/10.5194/nhess-22-2637-2022, 2022
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The locations of triggered landslides following a rainfall event can be identified in optical satellite images. However cloud cover associated with the rainfall means that these images cannot be used to identify landslide timing. Timings of landslides triggered during long rainfall events are often unknown. Here we present methods of using Sentinel-1 satellite radar data, acquired every 12 d globally in all weather conditions, to better constrain the timings of rainfall-triggered landslides.
Feiko Bernard van Zadelhoff, Adel Albaba, Denis Cohen, Chris Phillips, Bettina Schaefli, Luuk Dorren, and Massimiliano Schwarz
Nat. Hazards Earth Syst. Sci., 22, 2611–2635, https://doi.org/10.5194/nhess-22-2611-2022, https://doi.org/10.5194/nhess-22-2611-2022, 2022
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Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard and the impact of protective measures can reduce losses. We developed a model (SlideforMAP) that can assess the shallow-landslide risk on a regional scale for specific rainfall events. Trees are an effective and cheap protective measure on a regional scale. Our model can assess their hazard reduction down to the individual tree level.
Chuxuan Li, Alexander L. Handwerger, Jiali Wang, Wei Yu, Xiang Li, Noah J. Finnegan, Yingying Xie, Giuseppe Buscarnera, and Daniel E. Horton
Nat. Hazards Earth Syst. Sci., 22, 2317–2345, https://doi.org/10.5194/nhess-22-2317-2022, https://doi.org/10.5194/nhess-22-2317-2022, 2022
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In January 2021 a storm triggered numerous debris flows in a wildfire burn scar in California. We use a hydrologic model to assess debris flow susceptibility in pre-fire and postfire scenarios. Compared to pre-fire conditions, postfire conditions yield dramatic increases in peak water discharge, substantially increasing debris flow susceptibility. Our work highlights the hydrologic model's utility in investigating and potentially forecasting postfire debris flows at regional scales.
Saskia de Vilder, Chris Massey, Biljana Lukovic, Tony Taig, and Regine Morgenstern
Nat. Hazards Earth Syst. Sci., 22, 2289–2316, https://doi.org/10.5194/nhess-22-2289-2022, https://doi.org/10.5194/nhess-22-2289-2022, 2022
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This study calculates the fatality risk posed by landslides while visiting Franz Josef Glacier and Fox Glacier valleys, New Zealand, for nine different scenarios, where the variables of the risk equation were adjusted to determine the range in risk values and associated uncertainty. The results show that it is important to consider variable inputs that change through time, such as the increasing probability of an earthquake and the impact of climate change on landslide characteristics.
Yiwei Zhang, Jianping Chen, Qing Wang, Chun Tan, Yongchao Li, Xiaohui Sun, and Yang Li
Nat. Hazards Earth Syst. Sci., 22, 2239–2255, https://doi.org/10.5194/nhess-22-2239-2022, https://doi.org/10.5194/nhess-22-2239-2022, 2022
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The disaster prevention and mitigation of debris flow is a very important scientific problem. Our model is based on geographic information system (GIS), combined with grey relational, data-driven and fuzzy logic methods. Through our results, we believe that the streamlining of factors and scientific classification should attract attention from other researchers to optimize a model. We also propose a good perspective to make better use of the watershed feature parameters.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
EGUsphere, https://doi.org/10.5194/egusphere-2022-596, https://doi.org/10.5194/egusphere-2022-596, 2022
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This study compared gauge-based to satellite-based precipitation products. Similarly, satellite and hydrological model derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 day rainfall from the NASA GPM as the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Thom Bogaard, Martin Rutzinger, and Christoph Spötl
Nat. Hazards Earth Syst. Sci., 22, 2219–2237, https://doi.org/10.5194/nhess-22-2219-2022, https://doi.org/10.5194/nhess-22-2219-2022, 2022
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The activity of slow-moving deep-seated landslides is commonly governed by pore pressure variations within the shear zone. Groundwater recharge as a consequence of precipitation therefore is a process regulating the activity of landslides. In this context, we present a highly automated geo-statistical approach to spatially assess groundwater recharge controlling the velocity of a deep-seated landslide in Tyrol, Austria.
Ivo Fustos-Toribio, Nataly Manque-Roa, Daniel Vásquez Antipan, Mauricio Hermosilla Sotomayor, and Viviana Letelier Gonzalez
Nat. Hazards Earth Syst. Sci., 22, 2169–2183, https://doi.org/10.5194/nhess-22-2169-2022, https://doi.org/10.5194/nhess-22-2169-2022, 2022
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We develop for the first time a rainfall-induced landslide early warning system for the south of Chile. We used forecast precipitation values at different scales using mesoscale models to evaluate the probability of landslides using statistical models. We showed the feasibility of implementing these models in future, supporting stakeholders and decision-makers.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anika Braun, Sophia Ulysse, Anne-Sophie Mreyen, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-176, https://doi.org/10.5194/nhess-2022-176, 2022
Revised manuscript accepted for NHESS
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We present a new landslide inventory for the 2021, M=7.2, Haiti, earthquake. We compare characteristics of this inventory with those of the 2010 seismically induced landslides, highlighting the much larger total area of 2021 landslides. This fact could be related to the larger earthquake magnitude in 2021, the more central location of the fault segment ruptured in 2021 with respect to coastal zones, and/or to possible climatic preconditioning of slope failures in the 2021-affected area.
Katrin M. Nissen, Stefan Rupp, Thomas M. Kreuzer, Björn Guse, Bodo Damm, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 22, 2117–2130, https://doi.org/10.5194/nhess-22-2117-2022, https://doi.org/10.5194/nhess-22-2117-2022, 2022
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A statistical model is introduced which quantifies the influence of individual potential triggering factors and their interactions on rockfall probability in central Europe. The most important factor is daily precipitation, which is most effective if sub-surface moisture levels are high. Freeze–thaw cycles in the preceding days can further increase the rockfall hazard. The model can be applied to climate simulations in order to investigate the effect of climate change on rockfall probability.
Andreas Schimmel, Velio Coviello, and Francesco Comiti
Nat. Hazards Earth Syst. Sci., 22, 1955–1968, https://doi.org/10.5194/nhess-22-1955-2022, https://doi.org/10.5194/nhess-22-1955-2022, 2022
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The estimation of debris flow velocity and volume is a fundamental task for the development of early warning systems and other mitigation measures. This work provides a first approach for estimating the velocity and the total volume of debris flows based on the seismic signal detected with simple, low-cost geophones installed along the debris flow channel. The developed method was applied to seismic data collected at three test sites in the Alps: Gadria and Cancia (IT) and Lattenbach (AT).
Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard
Nat. Hazards Earth Syst. Sci., 22, 1723–1742, https://doi.org/10.5194/nhess-22-1723-2022, https://doi.org/10.5194/nhess-22-1723-2022, 2022
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This research tested the value of regional groundwater level information to improve landslide predictions with empirical models based on the concept of threshold levels. In contrast to precipitation-based thresholds, the results indicated that relying on threshold models exclusively defined using hydrological variables such as groundwater levels can lead to improved landslide predictions due to their implicit consideration of long-term antecedent conditions until the day of landslide occurrence.
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-141, https://doi.org/10.5194/nhess-2022-141, 2022
Revised manuscript accepted for NHESS
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The landslide hazard models assist in mitigating losses due to landslides. However, these models depend on landslide databases, which often have missing triggering information, lending these databases unusable for landslide hazard models. In this work, we developed a python library, "Landsifier" consisting of three different methods to identify the triggers of landslides. These methods can classify landslide triggers with high accuracy using only landslide polygon shapefile as an input.
Andrea Manconi, Alessandro C. Mondini, and the AlpArray working group
Nat. Hazards Earth Syst. Sci., 22, 1655–1664, https://doi.org/10.5194/nhess-22-1655-2022, https://doi.org/10.5194/nhess-22-1655-2022, 2022
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Information on when, where, and how landslide events occur is the key to building complete catalogues and performing accurate hazard assessments. Here we show a procedure that allows us to benefit from the increased density of seismic sensors installed on ground for earthquake monitoring and from the unprecedented availability of satellite radar data. We show how the procedure works on a recent sequence of landslides that occurred at Piz Cengalo (Swiss Alps) in 2017.
Andrew Mitchell, Sophia Zubrycky, Scott McDougall, Jordan Aaron, Mylène Jacquemart, Johannes Hübl, Roland Kaitna, and Christoph Graf
Nat. Hazards Earth Syst. Sci., 22, 1627–1654, https://doi.org/10.5194/nhess-22-1627-2022, https://doi.org/10.5194/nhess-22-1627-2022, 2022
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Debris flows are complex, surging movements of sediment and water. Discharge observations from well-studied debris-flow channels were used as inputs for a numerical modelling study of the downstream effects of chaotic inflows. The results show that downstream impacts are sensitive to inflow conditions. Inflow conditions for predictive modelling are highly uncertain, and our method provides a means to estimate the potential variability in future events.
Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, Mario Floris, and Filippo Catani
Nat. Hazards Earth Syst. Sci., 22, 1395–1417, https://doi.org/10.5194/nhess-22-1395-2022, https://doi.org/10.5194/nhess-22-1395-2022, 2022
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The study investigated the importance of the conditioning factors in predicting landslide occurrences using the mentioned models. In this paper, we evaluated the importance of the conditioning factors (features) in the overall prediction capabilities of the statistical and machine learning algorithms.
Pierpaolo Distefano, David J. Peres, Pietro Scandura, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 22, 1151–1157, https://doi.org/10.5194/nhess-22-1151-2022, https://doi.org/10.5194/nhess-22-1151-2022, 2022
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In the communication, we introduce the use of artificial neural networks (ANNs) for improving the performance of rainfall thresholds for landslide early warning. Results show how ANNs using rainfall event duration and mean intensity perform significantly better than a classical power law based on the same variables. Adding peak rainfall intensity as input to the ANN improves performance even more. This further demonstrates the potentialities of the proposed machine learning approach.
Robert Emberson, Dalia B. Kirschbaum, Pukar Amatya, Hakan Tanyas, and Odin Marc
Nat. Hazards Earth Syst. Sci., 22, 1129–1149, https://doi.org/10.5194/nhess-22-1129-2022, https://doi.org/10.5194/nhess-22-1129-2022, 2022
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Understanding where landslides occur in mountainous areas is critical to support hazard analysis as well as understand landscape evolution. In this study, we present a large compilation of inventories of landslides triggered by rainfall, including several that are described here for the first time. We analyze the topographic characteristics of the landslides, finding consistent relationships for landslide source and deposition areas, despite differences in the inventories' locations.
Alexander L. Handwerger, Mong-Han Huang, Shannan Y. Jones, Pukar Amatya, Hannah R. Kerner, and Dalia B. Kirschbaum
Nat. Hazards Earth Syst. Sci., 22, 753–773, https://doi.org/10.5194/nhess-22-753-2022, https://doi.org/10.5194/nhess-22-753-2022, 2022
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Rapid detection of landslides is critical for emergency response and disaster mitigation. Here we develop a global landslide detection tool in Google Earth Engine that uses satellite radar data to measure changes in the ground surface properties. We find that we can detect areas with high landslide density within days of a triggering event. Our approach allows the broader hazard community to utilize these state-of-the-art data for improved situational awareness of landslide hazards.
Qiwen Lin, Yufeng Wang, Yu Xie, Qiangong Cheng, and Kaifeng Deng
Nat. Hazards Earth Syst. Sci., 22, 639–657, https://doi.org/10.5194/nhess-22-639-2022, https://doi.org/10.5194/nhess-22-639-2022, 2022
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Fracturing and fragmentation of rock blocks are important and universal phenomena during the movement of rock avalanches (large and long-run-out rockslide-debris avalanches). The movement of a fragmenting rock block is simulated by the discrete element method, aiming to quantify the fracturing and fragmentation effect of the block in propagation. The fracturing and fragmentation processes and their influences on energy transformation in the system are described in detail.
Napoleon Gudino-Elizondo, Matthew W. Brand, Trent W. Biggs, Alejandro Hinojosa-Corona, Álvaro Gómez-Gutiérrez, Eddy Langendoen, Ronald Bingner, Yongping Yuan, and Brett F. Sanders
Nat. Hazards Earth Syst. Sci., 22, 523–538, https://doi.org/10.5194/nhess-22-523-2022, https://doi.org/10.5194/nhess-22-523-2022, 2022
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Mass movement hazards in the form of gullies and landslides pose significant risks in urbanizing areas yet are poorly documented. This paper presents observations and modeling of mass movement events over a 5-year period in Tijuana, Mexico. Three major events were observed, and all were linked to water resources infrastructure failures (WRIFs), namely leaks and breaks in water supply pipes. Modeling shows that WRIF-based erosion was also a non-negligible contributor to the total sediment budget.
David G. Milledge, Dino G. Bellugi, Jack Watt, and Alexander L. Densmore
Nat. Hazards Earth Syst. Sci., 22, 481–508, https://doi.org/10.5194/nhess-22-481-2022, https://doi.org/10.5194/nhess-22-481-2022, 2022
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Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts to understand what controls these landslides rely heavily on costly and time-consuming manual mapping from satellite imagery. We developed a new method that automatically detects landslides triggered by earthquakes using thousands of free satellite images. We found that in the majority of cases, it was as skilful at identifying the locations of landslides as the manual maps that we tested it against.
Sohrab Sharifi, Michael T. Hendry, Renato Macciotta, and Trevor Evans
Nat. Hazards Earth Syst. Sci., 22, 411–430, https://doi.org/10.5194/nhess-22-411-2022, https://doi.org/10.5194/nhess-22-411-2022, 2022
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This study is devoted to comparing the effectiveness of three different filters for noise reduction of instruments. It was observed that the Savitzky–Golay and Gaussian-weighted moving average filters outperform the simple moving average. Application of these two filters in real-time landslide monitoring leads to timely detection of acceleration moment and better preservation of information regarding displacement and velocity.
Alex Garcés, Gerardo Zegers, Albert Cabré, Germán Aguilar, Aldo Tamburrino, and Santiago Montserrat
Nat. Hazards Earth Syst. Sci., 22, 377–393, https://doi.org/10.5194/nhess-22-377-2022, https://doi.org/10.5194/nhess-22-377-2022, 2022
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We propose a workflow to model the response of an alluvial fan located in the Atacama Desert during an extreme storm event. For this alluvial fan, five different deposits were identified and associated with different debris flow surges. Using a commercial software program, our workflow concatenates these surges into one model. This study depicts the significance of the mechanical classification of debris flows to reproduce how an alluvial fan controls the tributary–river junction connectivity.
Jim S. Whiteley, Arnaud Watlet, J. Michael Kendall, and Jonathan E. Chambers
Nat. Hazards Earth Syst. Sci., 21, 3863–3871, https://doi.org/10.5194/nhess-21-3863-2021, https://doi.org/10.5194/nhess-21-3863-2021, 2021
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This work summarises the contribution of geophysical imaging methods to establishing and operating local landslide early warning systems, demonstrated through a conceptual framework. We identify developments in geophysical monitoring equipment, the spatiotemporal resolutions of these approaches and methods to translate geophysical to geotechnical information as the primary benefits that geophysics brings to slope-scale early warning.
Vipin Kumar, Léna Cauchie, Anne-Sophie Mreyen, Mihai Micu, and Hans-Balder Havenith
Nat. Hazards Earth Syst. Sci., 21, 3767–3788, https://doi.org/10.5194/nhess-21-3767-2021, https://doi.org/10.5194/nhess-21-3767-2021, 2021
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The SE Carpathians belong to one of the most active seismic regions of Europe. In recent decades, extreme rainfall events have also been common. These natural processes result in frequent landslides, particularly of a debris flow type. Despite such regimes, the region has been little explored to understand the response of the landslides in seismic and rainfall conditions. This study attempts to fill this gap by evaluating landslide responses under seismic and extreme-rainfall regimes.
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.
Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-333, https://doi.org/10.5194/nhess-2021-333, 2021
Revised manuscript accepted for NHESS
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On the 7th of February 2021, a large rock-ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early five years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
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.
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.
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.
Elsa S. Culler, Ben Livneh, Balaji Rajagopalan, and Kristy F. Tiampo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-111, https://doi.org/10.5194/nhess-2021-111, 2021
Revised manuscript accepted for NHESS
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Landslides have often been observed in the aftermath of wildfires. This study explores regional patterns in the rainfall that caused landslides both after fires and in unburned locations. In general, landslides that occur after fires are triggered by less rainfall, confirming that fire helps to set the stage for landslides. However, there are regional differences in the ways in which fire impacts landslides, such as the size and direction of shifts in the seasonality of landslides after fires.
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.
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Short summary
Natural hazards such as earthquakes, landslides, and flooding do not always occur as stand-alone events. After the 2008 Wenchuan earthquake, a co-seismic landslide blocked a stream in Hongchun. Two years later, a debris flow breached the material, blocked the Min River, and resulted in flooding of a small town. We developed a multi-process model that captures the full cascade. Despite input and process uncertainties, probability of flooding was high due to topography and trigger intensities.
Natural hazards such as earthquakes, landslides, and flooding do not always occur as stand-alone...
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