Articles | Volume 21, issue 11
https://doi.org/10.5194/nhess-21-3465-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3465-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Nov 2021
Research article |
| 16 Nov 2021
| 16 Nov 2021
Main Ethiopian Rift landslides formed in contrasting geological settings and climatic conditions
Karel Martínek
CORRESPONDING AUTHOR
Institute of Geology and Palaeontology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic
Czech Geological Survey, Klárov 3, 11821 Prague, Czech Republic
Kryštof Verner
Czech Geological Survey, Klárov 3, 11821 Prague, Czech Republic
Institute of Petrology and Structural Geology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic
Tomáš Hroch
Czech Geological Survey, Klárov 3, 11821 Prague, Czech Republic
Leta A. Megerssa
Institute of Petrology and Structural Geology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic
Czech Geological Survey, Klárov 3, 11821 Prague, Czech Republic
Veronika Kopačková
Czech Geological Survey, Klárov 3, 11821 Prague, Czech Republic
David Buriánek
Czech Geological Survey, Klárov 3, 11821 Prague, Czech Republic
Ameha Muluneh
School of Earth Sciences, Addis Ababa University, Arat Kilo, 1176 Addis Ababa, Ethiopia
Radka Kalinová
Institute of Petrology and Structural Geology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic
Miheret Yakob
Geological Survey of Ethiopia, P.O. Box 2302, Addis Ababa, Ethiopia
Muluken Kassa
School of Earth Sciences, Addis Ababa University, Arat Kilo, 1176 Addis Ababa, Ethiopia
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Alessandro La Rosa, Pauline Gayrin, Sascha Brune, Carolina Pagli, Ameha A. Muluneh, Gianmaria Tortelli, and Derek Keir
EGUsphere, https://doi.org/10.5194/egusphere-2025-1215, https://doi.org/10.5194/egusphere-2025-1215, 2025
This preprint is open for discussion and under review for Solid Earth (SE).
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We propose a new method to map faults automatically in DEMs and measure long-term crustal deformation in rift contexts. By combining our data with rock ages, we reconstruct rift evolution in Afar during the last 4.5 Myrs. We show that the rift axis is most active, with rifting propagating northwest over time. Here magma promotes crustal deformation and faulting caused by dike opening. In the southern sector Afar, two fault systems respond to different motions of diverging tectonic plates.
Related subject area
Landslides and Debris Flows Hazards
Characterizing the scale of regional landslide triggering from storm hydrometeorology
A participatory approach to determine the use of road cut slope design guidelines in Nepal to lessen landslides
An integrated method for assessing vulnerability of buildings caused by debris flows in mountainous areas
Identifying unrecognised risks to life from debris flows
Predicting the thickness of shallow landslides in Switzerland using machine learning
Unraveling landslide failure mechanisms with seismic signal analysis for enhanced pre-survey understanding
Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models
Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems
Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer
Limit analysis of earthquake-induced landslides considering two strength envelopes
Brief communication: Visualizing uncertainties in landslide susceptibility modeling using bivariate mapping
The vulnerability of buildings to a large-scale debris flow and outburst flood hazard cascade that occurred on 30 August 2020 in Ganluo, southwest China
Optimizing rainfall-triggered landslide thresholds for daily landslide hazard warning in the Three Gorges Reservoir area
Brief communication: Monitoring impending slope failure with very high-resolution spaceborne synthetic aperture radar
Size scaling of large landslides from incomplete inventories
InSAR-informed in situ monitoring for deep-seated landslides: insights from El Forn (Andorra)
A coupled hydrological and hydrodynamic modeling approach for estimating rainfall thresholds of debris-flow occurrence
Topographic controls on landslide mobility: Modeling hurricane-induced landslide runout and debris-flow inundation in Puerto Rico
More than one landslide per road kilometer – surveying and modeling mass movements along the Rishikesh–Joshimath (NH-7) highway, Uttarakhand, India
Temporal clustering of precipitation for detection of potential landslides
Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China
Comparative Analysis of μ (I) and Voellmy-Type Grain Flow Rheologies in Geophysical Mass Flows: Insights from Theoretical and Real Case Studies
From rockfall source areas identification to susceptibility zonation: a proposed workflow tested in El Hierro (Canary Islands, Spain)
Exploring implications of input parameter uncertainties on GLOF modelling results using the state-of-the-art modelling code, r.avaflow
Probabilistic assessment of postfire debris-flow inundation in response to forecast rainfall
Evaluating post-wildfire debris-flow rainfall thresholds and volume models at the 2020 Grizzly Creek Fire in Glenwood Canyon, Colorado, USA
Addressing class imbalance in soil movement predictions
Assessing the impact of climate change on landslides near Vejle, Denmark, using public data
A regional analysis of paraglacial landslide activation in southern coastal Alaska
Analysis of three-dimensional slope stability combined with rainfall and earthquake
Assessing landslide damming susceptibility in Central Asia
Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico
Evaluation of debris-flow building damage forecasts
Characteristics of debris-flow-prone watersheds and debris-flow-triggering rainstorms following the Tadpole Fire, New Mexico, USA
Morphological characteristics and conditions of drainage basins contributing to the formation of debris flow fans: an examination of regions with different rock strength using decision tree analysis
Comparison of debris flow observations, including fine-sediment grain size and composition and runout model results, at Illgraben, Swiss Alps
Simulation analysis of 3D stability of a landslide with a locking segment: a case study of the Tizicao landslide in Maoxian County, southwest China
Brief Communication: Weak correlation between building damage and loss of life from landslides
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Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment
Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling
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A new analytical method for stability analysis of rock blocks with basal erosion in sub-horizontal strata by considering the eccentricity effect
Rockfall monitoring with a Doppler radar on an active rockslide complex in Brienz/Brinzauls (Switzerland)
Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USA
Lessons learnt from a rockfall time series analysis: data collection, statistical analysis, and applications
The concept of event-size-dependent exhaustion and its application to paraglacial rockslides
Coastal earthquake-induced landslide susceptibility during the 2016 Mw 7.8 Kaikōura earthquake, New Zealand
Characteristics of debris flows recorded in the Shenmu area of central Taiwan between 2004 and 2021
Jonathan Perkins, Nina S. Oakley, Brian D. Collins, Skye C. Corbett, and W. Paul Burgess
Nat. Hazards Earth Syst. Sci., 25, 1037–1056, https://doi.org/10.5194/nhess-25-1037-2025, https://doi.org/10.5194/nhess-25-1037-2025, 2025
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Rainfall-induced landslides result in deaths and economic losses annually across the globe. However, it is unclear how storm severity relates to landslide severity across large regions. Here we develop a method to dynamically map landslide-affected areas, and we compare this to meteorological estimates of storm severity. We find that preconditioning by earlier storms and the location of rainfall bursts, rather than atmospheric storm strength, dictate landslide magnitude and pattern.
Ellen B. Robson, Bhim Kumar Dahal, and David G. Toll
Nat. Hazards Earth Syst. Sci., 25, 949–973, https://doi.org/10.5194/nhess-25-949-2025, https://doi.org/10.5194/nhess-25-949-2025, 2025
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Slopes excavated alongside roads in Nepal frequently fail (a landslide), resulting in substantial losses. Our participatory approach study with road engineers aimed to assess how road slope design guidelines in Nepal can be improved. Our study revealed inconsistent guideline adherence due to a lack of user-friendliness and inadequate training. We present general recommendations to enhance road slope management, as well as technical recommendations to improve the guidelines.
Chenchen Qiu and Xueyu Geng
Nat. Hazards Earth Syst. Sci., 25, 709–726, https://doi.org/10.5194/nhess-25-709-2025, https://doi.org/10.5194/nhess-25-709-2025, 2025
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We propose an integrated method using a combination of a physical vulnerability matrix and a machine learning model to estimate the potential physical damage and associated economic loss caused by future debris flows based on collected historical data on the Qinghai–Tibet Plateau region.
Mark Bloomberg, Tim Davies, Elena Moltchanova, Tom Robinson, and David Palmer
Nat. Hazards Earth Syst. Sci., 25, 647–656, https://doi.org/10.5194/nhess-25-647-2025, https://doi.org/10.5194/nhess-25-647-2025, 2025
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Debris flows occur infrequently, with average recurrence intervals (ARIs) ranging from decades to millennia. Consequently, they pose an underappreciated hazard. We describe how to make a preliminary identification of debris-flow-susceptible catchments, estimate threshold ARIs for debris flows that pose an unacceptable risk to life, and identify the “window of non-recognition” where debris flows are infrequent enough that their hazard is unrecognised yet frequent enough to pose a risk to life.
Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, Christine Moos, Arie C. Seijmonsbergen, and E. Emiel van Loon
Nat. Hazards Earth Syst. Sci., 25, 467–491, https://doi.org/10.5194/nhess-25-467-2025, https://doi.org/10.5194/nhess-25-467-2025, 2025
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We developed a machine-learning-based approach to predict the potential thickness of shallow landslides to generate improved inputs for slope stability models. We selected 21 explanatory variables, including metrics on terrain, geomorphology, vegetation height, and lithology, and used data from two Swiss field inventories to calibrate and test the models. The best-performing machine learning model consistently reduced the mean average error by at least 20 % compared to previous models.
Jui-Ming Chang, Che-Ming Yang, Wei-An Chao, Chin-Shang Ku, Ming-Wan Huang, Tung-Chou Hsieh, and Chi-Yao Hung
Nat. Hazards Earth Syst. Sci., 25, 451–466, https://doi.org/10.5194/nhess-25-451-2025, https://doi.org/10.5194/nhess-25-451-2025, 2025
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The study on the Cilan landslide (CL) demonstrates the utilization of seismic analysis results as preliminary data for geologists during field surveys. Spectrograms revealed that the first event of CL consisted of four sliding failures accompanied by a gradual reduction in landslide volume. The second and third events were minor toppling and rockfalls. Then combining the seismological-based knowledge and field survey results, the spatiotemporal variation in landslide evolution is proposed.
Marko Sinčić, Sanja Bernat Gazibara, Mauro Rossi, and Snježana Mihalić Arbanas
Nat. Hazards Earth Syst. Sci., 25, 183–206, https://doi.org/10.5194/nhess-25-183-2025, https://doi.org/10.5194/nhess-25-183-2025, 2025
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The paper focuses on classifying continuous landslide conditioning factors for susceptibility modelling, which resulted in 54 landslide susceptibility models that tested 11 classification criteria in combination with 5 statistical methods. The novelty of the research is that using stretched landslide conditioning factor values results in models with higher accuracy and that certain statistical methods are more sensitive to the landslide conditioning factor classification criteria than others.
Benjamin B. Mirus, Thom Bogaard, Roberto Greco, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 25, 169–182, https://doi.org/10.5194/nhess-25-169-2025, https://doi.org/10.5194/nhess-25-169-2025, 2025
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Early warning of increased landslide potential provides situational awareness to reduce landslide-related losses from major storm events. For decades, landslide forecasts relied on rainfall data alone, but recent research points to the value of hydrologic information for improving predictions. In this paper, we provide our perspectives on the value and limitations of integrating subsurface hillslope hydrologic monitoring data and mathematical modeling for more accurate landslide forecasts.
Jui-Sheng Chou, Hoang-Minh Nguyen, Huy-Phuong Phan, and Kuo-Lung Wang
Nat. Hazards Earth Syst. Sci., 25, 119–146, https://doi.org/10.5194/nhess-25-119-2025, https://doi.org/10.5194/nhess-25-119-2025, 2025
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This study enhances landslide prediction using advanced machine learning, including new algorithms inspired by historical explorations. The research accurately forecasts landslide movements by analyzing 8 years of data from Taiwan's Lushan, improving early warning and potentially saving lives and infrastructure. This integration marks a significant advancement in environmental risk management.
Di Wu, Yuke Wang, and Xin Chen
Nat. Hazards Earth Syst. Sci., 24, 4617–4630, https://doi.org/10.5194/nhess-24-4617-2024, https://doi.org/10.5194/nhess-24-4617-2024, 2024
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This paper proposes a 3D limit analysis for seismic stability of soil slopes to address the influence of earthquakes on slope stabilities with nonlinear and linear criteria. Comparison results illustrate that the use of a linear envelope leads to the non-negligible overestimation of steep-slope stability, and this overestimation will be significant with increasing earthquakes. Earthquakes have a smaller influence on slope slip surfaces with a nonlinear envelope than those with a linear envelope.
Matthias Schlögl, Anita Graser, Raphael Spiekermann, Jasmin Lampert, and Stefan Steger
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-213, https://doi.org/10.5194/nhess-2024-213, 2024
Revised manuscript accepted for NHESS
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Communicating uncertainties is a crucial yet challenging aspect of spatial modelling – especially in applied research, where results inform decisions. In disaster risk reduction, susceptibility maps for natural hazards guide planning and risk assessment, yet their uncertainties are often overlooked. We present a new type of landslide susceptibility map that visualizes both susceptibility and associated uncertainty, alongside guidelines for creating such maps using free and open-source software.
Li Wei, Kaiheng Hu, Shuang Liu, Lan Ning, Xiaopeng Zhang, Qiyuan Zhang, and Md. Abdur Rahim
Nat. Hazards Earth Syst. Sci., 24, 4179–4197, https://doi.org/10.5194/nhess-24-4179-2024, https://doi.org/10.5194/nhess-24-4179-2024, 2024
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The damage patterns of the buildings were classified into three types: (I) buried by primary debris flow, (II) inundated by secondary dam-burst flood, and (III) sequentially buried by debris flow and inundated by dam-burst flood. The threshold of the impact pressures in Zones (II) and (III) where vulnerability is equal to 1 is 84 kPa and 116 kPa, respectively. Heavy damage occurs at an impact pressure greater than 50 kPa, while slight damage occurs below 30 kPa.
Bo Peng and Xueling Wu
Nat. Hazards Earth Syst. Sci., 24, 3991–4013, https://doi.org/10.5194/nhess-24-3991-2024, https://doi.org/10.5194/nhess-24-3991-2024, 2024
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Our research enhances landslide prevention using advanced machine learning to forecast heavy-rainfall-triggered landslides. By analyzing regions and employing various models, we identified optimal ways to predict high-risk rainfall events. Integrating multiple factors and models, including a neural network, significantly improves landslide predictions. Real data validation confirms our approach's reliability, aiding communities in mitigating landslide impacts and safeguarding lives and property.
Andrea Manconi, Yves Bühler, Andreas Stoffel, Johan Gaume, Qiaoping Zhang, and Valentyn Tolpekin
Nat. Hazards Earth Syst. Sci., 24, 3833–3839, https://doi.org/10.5194/nhess-24-3833-2024, https://doi.org/10.5194/nhess-24-3833-2024, 2024
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Our research reveals the power of high-resolution satellite synthetic-aperture radar (SAR) imagery for slope deformation monitoring. Using ICEYE data over the Brienz/Brinzauls instability, we measured surface velocity and mapped the landslide event with unprecedented precision. This underscores the potential of satellite SAR for timely hazard assessment in remote regions and aiding disaster mitigation efforts effectively.
Oliver Korup, Lisa V. Luna, and Joaquin V. Ferrer
Nat. Hazards Earth Syst. Sci., 24, 3815–3832, https://doi.org/10.5194/nhess-24-3815-2024, https://doi.org/10.5194/nhess-24-3815-2024, 2024
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Catalogues of mapped landslides are useful for learning and forecasting how frequently they occur in relation to their size. Yet, rare and large landslides remain mostly uncertain in statistical summaries of these catalogues. We propose a single, consistent method of comparing across different data sources and find that landslide statistics disclose more about subjective mapping choices than trigger types or environmental settings.
Rachael Lau, Carolina Seguí, Tyler Waterman, Nathaniel Chaney, and Manolis Veveakis
Nat. Hazards Earth Syst. Sci., 24, 3651–3661, https://doi.org/10.5194/nhess-24-3651-2024, https://doi.org/10.5194/nhess-24-3651-2024, 2024
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This work examines the use of interferometric synthetic-aperture radar (InSAR) alongside in situ borehole measurements to assess the stability of deep-seated landslides for the case study of El Forn (Andorra). Comparing InSAR with borehole data suggests a key trade-off between accuracy and precision for various InSAR resolutions. Spatial interpolation with InSAR informed how many remote observations are necessary to lower error in a remote sensing re-creation of ground motion over the landslide.
Zhen Lei Wei, Yue Quan Shang, Qiu Hua Liang, and Xi Lin Xia
Nat. Hazards Earth Syst. Sci., 24, 3357–3379, https://doi.org/10.5194/nhess-24-3357-2024, https://doi.org/10.5194/nhess-24-3357-2024, 2024
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The initiation of debris flows is significantly influenced by rainfall-induced hydrological processes. We propose a novel framework based on an integrated hydrological and hydrodynamic model and aimed at estimating intensity–duration (ID) rainfall thresholds responsible for triggering debris flows. In comparison to traditional statistical approaches, this physically based framework is particularly suitable for application in ungauged catchments where historical debris flow data are scarce.
Dianne L. Brien, Mark E. Reid, Collin Cronkite-Ratcliff, and Jonathan P. Perkins
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-141, https://doi.org/10.5194/nhess-2024-141, 2024
Revised manuscript accepted for NHESS
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Landslide runout zones are the areas downslope or downstream of landslide initiation. People often live and work in these areas, leading to property damage and deaths. We develop methods to identify potential runout zones from landslides. We apply our methods to create susceptibility maps for three study areas in Puerto Rico and assess the success of our methods based on mapped landslides from Hurricane Maria.
Jürgen Mey, Ravi Kumar Guntu, Alexander Plakias, Igo Silva de Almeida, and Wolfgang Schwanghart
Nat. Hazards Earth Syst. Sci., 24, 3207–3223, https://doi.org/10.5194/nhess-24-3207-2024, https://doi.org/10.5194/nhess-24-3207-2024, 2024
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The Himalayan road network links remote areas, but fragile terrain and poor construction lead to frequent landslides. This study on the NH-7 in India's Uttarakhand region analyzed 300 landslides after heavy rainfall in 2022 . Factors like slope, rainfall, rock type and road work influence landslides. The study's model predicts landslide locations for better road maintenance planning, highlighting the risk from climate change and increased road use.
Fabiola Banfi, Emanuele Bevacqua, Pauline Rivoire, Sérgio C. Oliveira, Joaquim G. Pinto, Alexandre M. Ramos, and Carlo De Michele
Nat. Hazards Earth Syst. Sci., 24, 2689–2704, https://doi.org/10.5194/nhess-24-2689-2024, https://doi.org/10.5194/nhess-24-2689-2024, 2024
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Landslides are complex phenomena causing important impacts in vulnerable areas, and they are often triggered by rainfall. Here, we develop a new approach that uses information on the temporal clustering of rainfall, i.e. multiple events close in time, to detect landslide events and compare it with the use of classical empirical rainfall thresholds, considering as a case study the region of Lisbon, Portugal. The results could help to improve the prediction of rainfall-triggered landslides.
Jianqi Zhuang, Jianbing Peng, Chenhui Du, Yi Zhu, and Jiaxu Kong
Nat. Hazards Earth Syst. Sci., 24, 2615–2631, https://doi.org/10.5194/nhess-24-2615-2024, https://doi.org/10.5194/nhess-24-2615-2024, 2024
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The Revised Infinite Slope Model (RISM) is proposed using the equal differential unit method and correcting the deficiency of the safety factor increasing with the slope increasing when the slope is larger than 40°, as calculated using the Taylor slope infinite model. The intensity–duration (I–D) prediction curve of the rainfall-induced shallow loess landslides with different slopes was constructed and can be used in forecasting regional shallow loess landslides.
Yu Zhuang, Brian W. McArdell, and Perry Bartelt
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-87, https://doi.org/10.5194/nhess-2024-87, 2024
Revised manuscript accepted for NHESS
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This study reformulates the μ(I) rheology into a Voellmy-type relationship to elucidate its physical implications. The μ(I) rheology, incorporating a dimensionless inertial number, mimics granular temperature effects, reflecting shear thinning behavior of mass flows. However, its constant Coulomb friction coefficient limits accuracy in modeling deposition. Comparing μ(I) with Voellmy-type rheologies reveals strengths and limitations, enhancing mass flow modeling and engineering applications.
Roberto Sarro, Mauro Rossi, Paola Reichenbach, and Rosa María Mateos
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-85, https://doi.org/10.5194/nhess-2024-85, 2024
Revised manuscript accepted for NHESS
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This study proposes a novel workflow to precisely model rockfalls. It compares three methods for defining source areas to enhance model accuracy. Identified areas are inputted into a runout model to identify vulnerable zones. A new approach generates probabilistic susceptibility maps using ECDFs. Validation strategies employing various inventory types are included. Comparing six susceptibility maps highlights the impact of source area definition on model precision.
Sonam Rinzin, Stuart Dunning, Rachel Carr, Ashim Sattar, and Martin Mergili
EGUsphere, https://doi.org/10.5194/egusphere-2024-1819, https://doi.org/10.5194/egusphere-2024-1819, 2024
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We evaluated the sensitivity of model outputs to input parameter uncertainties by performing multiple GLOF simulations using the r.avaflow model. We found out that GLOF modelling outputs are highly sensitive to six parameters: volume of mass movements entering lakes, DEM datasets, origin of mass movements, mesh size, basal frictional angle, and entrainment coefficient. Future modelling should carefully consider the output uncertainty from these sensitive parameters.
Alexander B. Prescott, Luke A. McGuire, Kwang-Sung Jun, Katherine R. Barnhart, and Nina S. Oakley
Nat. Hazards Earth Syst. Sci., 24, 2359–2374, https://doi.org/10.5194/nhess-24-2359-2024, https://doi.org/10.5194/nhess-24-2359-2024, 2024
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Fire can dramatically increase the risk of debris flows to downstream communities with little warning, but hazard assessments have not traditionally included estimates of inundation. We unify models developed by the scientific community to create probabilistic estimates of inundation area in response to rainfall at forecast lead times (≥ 24 h) needed for decision-making. This work takes an initial step toward a near-real-time postfire debris-flow inundation hazard assessment product.
Francis K. Rengers, Samuel Bower, Andrew Knapp, Jason W. Kean, Danielle W. vonLembke, Matthew A. Thomas, Jaime Kostelnik, Katherine R. Barnhart, Matthew Bethel, Joseph E. Gartner, Madeline Hille, Dennis M. Staley, Justin K. Anderson, Elizabeth K. Roberts, Stephen B. DeLong, Belize Lane, Paxton Ridgway, and Brendan P. Murphy
Nat. Hazards Earth Syst. Sci., 24, 2093–2114, https://doi.org/10.5194/nhess-24-2093-2024, https://doi.org/10.5194/nhess-24-2093-2024, 2024
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Every year the U.S. Geological Survey produces 50–100 postfire debris-flow hazard assessments using models for debris-flow likelihood and volume. To refine these models they must be tested with datasets that clearly document rainfall, debris-flow response, and debris-flow volume. These datasets are difficult to obtain, but this study developed and analyzed a postfire dataset with more than 100 postfire storm responses over a 2-year period. We also proposed ways to improve these models.
Praveen Kumar, Priyanka Priyanka, Kala Venkata Uday, and Varun Dutt
Nat. Hazards Earth Syst. Sci., 24, 1913–1928, https://doi.org/10.5194/nhess-24-1913-2024, https://doi.org/10.5194/nhess-24-1913-2024, 2024
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Our study focuses on predicting soil movement to mitigate landslide risks. We develop machine learning models with oversampling techniques to address the class imbalance in monitoring data. The dynamic ensemble model with K-means SMOTE (synthetic minority oversampling technique) achieves high precision, high recall, and a high F1 score. Our findings highlight the potential of these models with oversampling techniques to improve soil movement predictions in landslide-prone areas.
Kristian Svennevig, Julian Koch, Marie Keiding, and Gregor Luetzenburg
Nat. Hazards Earth Syst. Sci., 24, 1897–1911, https://doi.org/10.5194/nhess-24-1897-2024, https://doi.org/10.5194/nhess-24-1897-2024, 2024
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In our study, we analysed publicly available data in order to investigate the impact of climate change on landslides in Denmark. Our research indicates that the rising groundwater table due to climate change will result in an increase in landslide activity. Previous incidents of extremely wet winters have caused damage to infrastructure and buildings due to landslides. This study is the first of its kind to exclusively rely on public data and examine landslides in Denmark.
Jane Walden, Mylène Jacquemart, Bretwood Higman, Romain Hugonnet, Andrea Manconi, and Daniel Farinotti
EGUsphere, https://doi.org/10.5194/egusphere-2024-1086, https://doi.org/10.5194/egusphere-2024-1086, 2024
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In a study of eight landslides adjacent to glaciers in Alaska, we found that landslide movement increased as the glacier retreated past the landslide at four sites. Movement at other sites coincided with heavy precipitation or increased glacier thinning, and two sites showed little-to-no motion. We suggest that landslides next to water-terminating glaciers may be especially vulnerable to acceleration, which we guess is due to faster retreat rates and water replacing ice at the landslide edge.
Jiao Wang, Zhangxing Wang, Guanhua Sun, and Hongming Luo
Nat. Hazards Earth Syst. Sci., 24, 1741–1756, https://doi.org/10.5194/nhess-24-1741-2024, https://doi.org/10.5194/nhess-24-1741-2024, 2024
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With a simplified formula linking rainfall and groundwater level, the rise of the phreatic surface within the slope can be obtained. Then, a global analysis method that considers both seepage and seismic forces is proposed to determine the safety factor of slopes subjected to the combined effect of rainfall and earthquakes. By taking a slope in the Three Gorges Reservoir area as an example, the safety evolution of the slope combined with both rainfall and earthquake is also examined.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umaraliev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 1697–1720, https://doi.org/10.5194/nhess-24-1697-2024, https://doi.org/10.5194/nhess-24-1697-2024, 2024
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Central Asia regions are marked by active tectonics, high mountains with glaciers, and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of possible damming scenarios, which endanger the population. To prevent this, a semi-automated geographic information system (GIS-)based mapping method, centered on a bivariate correlation of morphometric parameters, was applied to give preliminary information on damming susceptibility in Central Asia.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci., 24, 1579–1605, https://doi.org/10.5194/nhess-24-1579-2024, https://doi.org/10.5194/nhess-24-1579-2024, 2024
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We mapped potential for heavy rainfall to cause landslides in part of the central mountains of Puerto Rico using new tools for estimating soil depth and quasi-3D slope stability. Potential ground-failure locations correlate well with the spatial density of landslides from Hurricane Maria. The smooth boundaries of the very high and high ground-failure susceptibility zones enclose 75 % and 90 %, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 24, 1459–1483, https://doi.org/10.5194/nhess-24-1459-2024, https://doi.org/10.5194/nhess-24-1459-2024, 2024
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Debris flows are a type of fast-moving landslide that start from shallow landslides or during intense rain. Infrastructure located downstream of watersheds susceptible to debris flows may be damaged should a debris flow reach them. We present and evaluate an approach to forecast building damage caused by debris flows. We test three alternative models for simulating the motion of debris flows and find that only one can forecast the correct number and spatial pattern of damaged buildings.
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
Nat. Hazards Earth Syst. Sci., 24, 1357–1379, https://doi.org/10.5194/nhess-24-1357-2024, https://doi.org/10.5194/nhess-24-1357-2024, 2024
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Runoff and erosion increase after fire, leading to a greater likelihood of floods and debris flows. We monitored debris flow activity following a fire in western New Mexico, USA, and observed 16 debris flows over a <2-year monitoring period. Rainstorms with recurrence intervals of approximately 1 year were sufficient to initiate debris flows. All debris flows initiated during the first several months following the fire, indicating a rapid decrease in debris flow susceptibility over time.
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci., 24, 1287–1301, https://doi.org/10.5194/nhess-24-1287-2024, https://doi.org/10.5194/nhess-24-1287-2024, 2024
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Morphological conditions of drainage basins that classify the presence or absence of debris flow fans were analyzed in areas with different rock strength using decision tree analysis. The relief ratio is the most important morphological factor regardless of the geology. However, the thresholds of morphological parameters needed for forming debris flow fans differ depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci., 24, 1035–1049, https://doi.org/10.5194/nhess-24-1035-2024, https://doi.org/10.5194/nhess-24-1035-2024, 2024
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We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled these flows with a debris flow runout model. We found that no correlation exists between the grain size distribution, the mineralogical composition of the matrix, and the debris flow properties. The flow properties rather appear to be determined by the flow volume, from which most other parameters can be derived.
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
Nat. Hazards Earth Syst. Sci., 24, 891–906, https://doi.org/10.5194/nhess-24-891-2024, https://doi.org/10.5194/nhess-24-891-2024, 2024
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We developed three rock bridge models to analyze 3D stability and deformation behaviors of the Tizicao landslide and found that the contact surface model with high strength parameters combines advantages of the intact rock mass model in simulating the deformation of slopes with rock bridges and the modeling advantage of the Jennings model. The results help in choosing a rock bridge model to simulate landslide stability and reveal the influence laws of rock bridges on the stability of landslides.
Maximillian Van Wyk de Vries, Alexandre Dunant, Amy L. Johnson, Erin L. Harvey, Sihan Li, Katherine Arrell, Jeevan Baniya, Dipak Basnet, Gopi K. Basyal, Nyima Dorjee Bhotia, Simon J. Dadson, Alexander L. Densmore, Tek Bahadur Dong, Mark E. Kincey, Katie Oven, Anuradha Puri, and Nick J. Rosser
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-40, https://doi.org/10.5194/nhess-2024-40, 2024
Revised manuscript accepted for NHESS
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Mapping exposure to landslides is necessary to mitigate risk and reduce vulnerability. In this study, we show that there is a poor correlation between building damage and deaths from landslides- such that the deadliest landslides do not always destroy the most buildings and vice versa. This has important implications for our management on landslide risk.
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845, https://doi.org/10.5194/nhess-24-823-2024, https://doi.org/10.5194/nhess-24-823-2024, 2024
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We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
Li-Ru Luo, Zhi-Xiang Yu, Li-Jun Zhang, Qi Wang, Lin-Xu Liao, and Li Peng
Nat. Hazards Earth Syst. Sci., 24, 631–649, https://doi.org/10.5194/nhess-24-631-2024, https://doi.org/10.5194/nhess-24-631-2024, 2024
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We performed field investigations on a rockfall near Jiguanshan National Forest Park, Chengdu. Vital information was obtained from an unmanned aerial vehicle survey. A finite element model was created to reproduce the damage evolution. We found that the impact kinetic energy was below the design protection energy. Improper member connections prevent the barrier from producing significant deformation to absorb energy. Damage is avoided by improving the ability of the nets and ropes to slide.
Sudhanshu Dixit, Srikrishnan Siva Subramanian, Piyush Srivastava, Ali P. Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci., 24, 465–480, https://doi.org/10.5194/nhess-24-465-2024, https://doi.org/10.5194/nhess-24-465-2024, 2024
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Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards. Large-scale sediment disasters like landslides, debris flows, and flash floods happen frequently in the Himalayas because of their propensity for intense precipitation events. We provide a new framework that combines the Weather Research and Forecasting (WRF) model with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
Jacob B. Woodard, Benjamin B. Mirus, Nathan J. Wood, Kate E. Allstadt, Benjamin A. Leshchinsky, and Matthew M. Crawford
Nat. Hazards Earth Syst. Sci., 24, 1–12, https://doi.org/10.5194/nhess-24-1-2024, https://doi.org/10.5194/nhess-24-1-2024, 2024
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Dividing landscapes into hillslopes greatly improves predictions of landslide potential across landscapes, but their scaling is often arbitrarily set and can require significant computing power to delineate. Here, we present a new computer program that can efficiently divide landscapes into meaningful slope units scaled to best capture landslide processes. The results of this work will allow an improved understanding of landslide potential and can help reduce the impacts of landslides worldwide.
Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 23, 3805–3821, https://doi.org/10.5194/nhess-23-3805-2023, https://doi.org/10.5194/nhess-23-3805-2023, 2023
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The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the lowest number of missed and false alarms. The ensemble approach allowed the estimation of the associated prediction uncertainty.
Xushan Shi, Bo Chai, Juan Du, Wei Wang, and Bo Liu
Nat. Hazards Earth Syst. Sci., 23, 3425–3443, https://doi.org/10.5194/nhess-23-3425-2023, https://doi.org/10.5194/nhess-23-3425-2023, 2023
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A 3D stability analysis method is proposed for biased rockfall with external erosion. Four failure modes are considered according to rockfall evolution processes, including partial damage of underlying soft rock and overall failure of hard rock blocks. This method is validated with the biased rockfalls in the Sichuan Basin, China. The critical retreat ratio from low to moderate rockfall susceptibility is 0.33. This method could facilitate rockfall early identification and risk mitigation.
Marius Schneider, Nicolas Oestreicher, Thomas Ehrat, and Simon Loew
Nat. Hazards Earth Syst. Sci., 23, 3337–3354, https://doi.org/10.5194/nhess-23-3337-2023, https://doi.org/10.5194/nhess-23-3337-2023, 2023
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Rockfalls and their hazards are typically treated as statistical events based on rockfall catalogs, but only a few complete rockfall inventories are available today. Here, we present new results from a Doppler radar rockfall alarm system, which has operated since 2018 at a high frequency under all illumination and weather conditions at a site where frequent rockfall events threaten a village and road. The new data set is used to investigate rockfall triggers in an active rockslide complex.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
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Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi
Nat. Hazards Earth Syst. Sci., 23, 3079–3093, https://doi.org/10.5194/nhess-23-3079-2023, https://doi.org/10.5194/nhess-23-3079-2023, 2023
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The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Stefan Hergarten
Nat. Hazards Earth Syst. Sci., 23, 3051–3063, https://doi.org/10.5194/nhess-23-3051-2023, https://doi.org/10.5194/nhess-23-3051-2023, 2023
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Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Colin K. Bloom, Corinne Singeisen, Timothy Stahl, Andrew Howell, Chris Massey, and Dougal Mason
Nat. Hazards Earth Syst. Sci., 23, 2987–3013, https://doi.org/10.5194/nhess-23-2987-2023, https://doi.org/10.5194/nhess-23-2987-2023, 2023
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Landslides are often observed on coastlines following large earthquakes, but few studies have explored this occurrence. Here, statistical modelling of landslides triggered by the 2016 Kaikōura earthquake in New Zealand is used to investigate factors driving coastal earthquake-induced landslides. Geology, steep slopes, and shaking intensity are good predictors of landslides from the Kaikōura event. Steeper slopes close to the coast provide the best explanation for a high landslide density.
Yi-Min Huang
Nat. Hazards Earth Syst. Sci., 23, 2649–2662, https://doi.org/10.5194/nhess-23-2649-2023, https://doi.org/10.5194/nhess-23-2649-2023, 2023
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Debris flows are common hazards in Taiwan, and debris-flow early warning is important for disaster responses. The rainfall thresholds of debris flows are analyzed and determined in terms of rainfall intensity, accumulated rainfall, and rainfall duration, based on case histories in Taiwan. These thresholds are useful for disaster management, and the cases in Taiwan are useful for global debris-flow databases.
Cited articles
Abate, M., Nyssen, J., Steenhuis, T. S., Moges, M. M., Tilahun, S. A., Enku,
T., and Adgo, E.: Morphological changes of Gumara River channel over 50
years, upper Blue Nile basin, Ethiopia, J. Hydrol., 525, 152–164,
https://doi.org/10.1016/j.jhydrol.2015.03.044, 2015.
Abebe, T., Manetti, P., Bonini, M., Corti, G., Innocenti, F., Mazzarini, F.,
and Pecskay, Z.: Geological map (scale 1:200 000) of the northern main
Ethiopian rift and its implication for the volcano-tectonic evolution of the
rift, Geological Society of America, Boulder, Colorado, Maps and Charts
series, MCH094, 2005.
Abebe, B., Dramis, F., Fubelli, G., Umer, M., and Asrat, A.: Landslides in
the Ethiopian highlands and the Rift margins, J. Afr. Earth
Sci., 56, 131–138, https://doi.org/10.1016/j.jafrearsci.2009.06.006, 2010.
Acocella, V.: Coupling volcanism and tectonics along divergent plate
boundaries: Collapsed rifts from central Afar, Ethiopia, Geol. Soc.
Am. B., 122, 1717–1728, https://doi.org/10.1130/B30105.1,
2010.
Agostini, A., Corti, G., Zeoli, A., and Mulugeta, G.: Evolution, pattern,
and partitioning of deformation during oblique continental rifting:
Inferences from lithospheric-scale centrifuge models, Geochem.
Geophys. Geosyst., 10, 1–11, https://doi.org/10.1029/2009GC002676, 2009.
Agostini, A., Bonini, M., Corti, G., Sani, F., and Manetti, P.: Distribution
of Quaternary deformation in the central Main Ethiopian Rift, East Africa,
Tectonics, 30, 4010, https://doi.org/10.1029/2010TC002833, 2011.
Altin, T. B. and Altin, B. N.: Development and morphometry of drainage
network in volcanic terrain, Central Anatolia, Turkey, Geomorphology, 125,
485–503, https://doi.org/10.1016/j.geomorph.2010.09.023, 2011.
Asfaw, L. M.: Development of earthquake-induced fissures in the Main
Ethiopian Rift, Nature, 297, 393–395, https://doi.org/10.1038/297393a0, 1982.
Asfaw, L. M.: Seismic risk at a site in the East African rift system,
Tectonophysics, 209, 301–309, https://doi.org/10.1016/0040-1951(92)90038-8, 1992.
Asfaw, L. M.: Environmental hazard from fissures in the Main Ethiopian Rift,
J. Afr. Earth Sci., 27, 481–490, https://doi.org/10.1016/S0899-5362(98)00074-8, 1998.
Asfaw, L. M.: Integrated approach to the study of geohazards with
application in southern Afar, J. Afr. Earth Sci., 48,
237–244, https://doi.org/10.1016/j.jafrearsci.2006.08.006,
2007.
Ayalew, L.: The effect of seasonal rainfall on landslides in the highlands of Ethiopia, B. Eng. Geol. Environ., 58, 9–19,
https://doi.org/10.1007/s100640050065, 1999.
Ayalew, L. and Yamagishi, H.: Slope failures in the Blue Nile basin, as
seen from landscape evolution perspective, Geomorphology, 57, 95–116,
https://doi.org/10.1016/S0169-555X(03)00085-0, 2004.
Ayalew, L., Yamagishi, H., and Reik, G.: Ground cracks in Ethiopian Rift
Valley: facts and uncertainties, Eng. Geol., 75, 309–324,
https://doi.org/10.1016/j.enggeo.2004.06.018, 2004.
Ayele, A.: Probabilistic seismic hazard analysis (PSHA) for Ethiopia and the
neighboring region, J. Afr. Earth Sci., 134, 257–264,
https://doi.org/10.1016/j.jafrearsci.2017.06.016, 2017.
Ayele, A., Jacques, E., Kassim, M., Kidane, T., Omar, A., Tait, S.,
Nercessian, A., de Chabalier, J. B., and King, G.: The volcano–seismic
crisis in Afar, Ethiopia, starting September 2005, Earth Planet.
Sc. Lett., 255, 177–187, https://doi.org/10.1016/j.epsl.2006.12.014,
2007.
Ayele, A., Keir, D., Ebinger, C., Wright, T. J., Stuart, G. W., Buck, W. R.,
Jacques, E., Ogubazghi, G., and Sholan, J.: September 2005 mega-dike
emplacement in the Manda-Harraro nascent oceanic rift (Afar Depression),
Geophys. Res. Lett., 36, L20306, https://doi.org/10.1029/2009GL039605,
2009.
Ayenew, T. and Barbieri, G.: Inventory of landslides and susceptibility
mapping in the Dessie area, northern Ethiopia, Eng. Geol., 77,
1–15, https://doi.org/10.1016/j.enggeo.2004.07.002, 2005.
Billi, P.: Geomorphological landscapes of Ethiopia, in: Landscapes and
Landforms of Ethiopia, Springer, Dordrecht, 3–32 pp.,
https://doi.org/10.1007/978-94-017-8026-1_1, 2015.
Billi, P. and Dramis, F.: Geomorphological investigation on gully erosion in
the Rift Valley and the northern highlands of Ethiopia, Catena, 50,
353–368, https://doi.org/10.1016/S0341-8162(02)00131-5, 2003.
Bolongaro-Crevenna, A., Torres-Rodríguez, V., Sorani, V., Frame, D.,
and Ortiz, M. A.: Geomorphometric analysis for characterizing landforms in
Morelos State, Mexico, Geomorphology, 67, 407–422,
https://doi.org/10.1016/j.geomorph.2004.11.007, 2005.
Bonini, M., Corti, G., Innocenti, F., Manetti, P., Mazzarini, F., Abebe, T.,
and Pecskay, Z.: Evolution of the Main Ethiopian Rift in the frame of Afar
and Kenya rifts propagation, Tectonics, 24, 1–24,
https://doi.org/10.1029/2004TC001680, 2005.
British Standard BS5930: Code of Practice for Site Investigations, British
Standards Institution (BSI), London, 147 pp., 1981.
Burianek, D., Hroch, T., Verner, K., Megerssa, L., Martinek, K., Yakob, M.,
Haregot, A., Janderkova, J., Sima, J., Krystofova, E., Valenta, J., Tadesse,
E., Mosisa, A., Dalke, G., Legesse, F., Assefa, G., Pecskay, Z.,
Hejtmankova, P., and Krejci, Z.: Explanatory notes to thematic geoscientific
maps of Ethiopia at a scale of 1:50 000, Map Sheet 0638-C2 Dila, Czech
Geological Survey, Prague, 103 pp., 2018.
Centre for Development and Environment: Ethio GIS CD-ROM Database file
system, University of Bern, Switzerland, 1999.
Chang, K.-J., Chan, Y.-C., Chen, R.-F., and Hsieh, Y.-C.: Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data, Nat. Hazards Earth Syst. Sci., 18, 709–727, https://doi.org/10.5194/nhess-18-709-2018, 2018.
Chorowicz, J.: The east African rift system, J. Afr. Earth
Sci., 43, 379–410, https://doi.org/10.1016/j.jafrearsci.2005.07.019, 2005.
Corti, G.: Continental rift evolution: From rift initiation to incipient
break-up in the Main Ethiopian Rift, East Africa, Earth-Sci. Rev., 96,
1–53, https://doi.org/10.1016/j.earscirev.2009.06.005, 2009.
Dhont, D. and Chorowicz, J.: Review of the neotectonics of the Eastern
Turkish–Armenian Plateau by geomorphic analysis of digital elevation model
imagery, Int. J. Earth Sci., 95, 34–49, https://doi.org/10.1007/s00531-005-0020-3, 2006.
Ebinger, C. J., Yemane, T., Woldegabriel, G., Aronson, J. L., and Walter, R.
C.: Late Eocene-Recent volcanism and faulting in the southern Main Ethiopian
Rift, J. Geol. Soc., 150, 99–108, https://doi.org/10.1144/gsjgs.150.1.0099, 1993.
Ebinger, C. J., Yemane, T., Harding, D. J., Tesfaye, S., Kelley S., and Rex
D. C.: Rift deflection,migration, and propagation: Linkage of the Ethiopian
and Eastern rifts, Africa, Geol. Soc. Am. B., 112,
163–176, https://doi.org/10.1130/0016-7606(2000)112<163:RDMAPL>2.0.CO;2, 2000.
Erbello, A. and Kidane, T.: Timing of volcanism and initiation of rifting in
the Omo-Turkana depression, southwest Ethiopia: Evidence from
paleomagnetism, J. Afr. Earth Sci., 139, 319–329, https://doi.org/10.1016/j.jafrearsci.2017.12.031, 2018.
FAO, Food and Agriculture Organization: Global Forest Resources Assessment
2000: Main Report, FAO Forestry Paper 140, Rome, Italy, https://doi.org/10.1016/S0264-8377(03)00003-6, 2001.
Fisher, P., Wood, J., and Cheng, T.: Where is Helvellyn? Fuzziness of
multi-scale landscape morphometry, Transactions of the Institute of British
Geographers, 29, 106–128, https://doi.org/10.1111/j.0020-2754.2004.00117.x, 2004.
Fritz, H., Abdelsalam, M., Ali, K. A., Bingen, B., Collins, A. S., Fowler,
A. R., Ghebreab, W., Hauzenberger, C. A., Johnson, P. R., Kusky, T. M., and
Macey, P.: Orogen styles in the East African Orogen: a review of the
Neoproterozoic to Cambrian tectonic evolution, J. Afr. Earth Sci., 86, 65–106, https://doi.org/10.1016/j.jafrearsci.2013.06.004, 2013.
Fubelli, G., Abebe, B., Dramis, F., and Vinci, S.: Geomorphological
evolution and present-day processes in the Dessie Graben (Wollo, Ethiopia),
Catena, 75, 28–37, https://doi.org/10.1016/j.catena.2008.04.001, 2008.
Ganas, A., Pavlides, S., and Karastathisa, V.: DEM-based morphometry of
range-front escarpments in Attica, central Greece, and its relation to fault
slip rates, Geomorphology, 65, 301–319, https://doi.org/10.1016/j.geomorph.2004.09.006, 2005.
Gao, M., Zeilinger, G., Xu, X., Wang Q., and Hao, M.: DEM and GIS analysis
of geomorphic indices for evaluating recent uplift of the northeastern
margin of the Tibetan Plateau, China, Geomorphology, 190, 61–72, https://doi.org/10.1016/j.geomorph.2013.02.008, 2013.
Gessesse, D.: Forest Decline in South Central Ethiopia Extent, history and
process. Doctoral dissertation. Department of Physical Geography and
Quaternary Geology. Stockholm University, Sweden, 2007.
Gete, Z. and Hurni, H.: Implications of Land Use and Land Cover dynamics for
mountain resource degradation in the northwestern Ethiopian highlands,
Mt. Res. Dev., 21, 184–191,
https://doi.org/10.1659/0276-4741(2001)021[0184:IOLUAL]2.0.CO;2, 2001.
Gezahegn, A. and Dessie, T.: Report on Engineering geophysical investigation
of the Blue Nile basin for rerouting of the main road, Ethiopian Institute
of Geological Survey, Addis Ababa, 1994.
Goitom, B., Oppenheimer, C., Hammond, J. O., Grandin, R., Barnie, T.,
Donovan, A., Ogubazghi, G., Yohannes, E., Kibrom, G., Kendall, J. M., and
Carn, S. A.: First recorded eruption of Nabro volcano, Eritrea, 2011,
B. Volcanol., 77, 85, 2015.
Gouin, P.: Kara Kore and Serdo epicenters: relocation and tectonic
implications, B. Geophys. Obs., 15, 15–25,
1975.
Gouin, P.: Earthquake history of Ethiopia and the Horn of Africa,
International Development Research Centre, Ottawa, Canada, 1979.
Habtamu, E., Ermiyas, F., Tutan, N., and Tsigehana, T.: Engineering
Geological Map of Dila Sheet at scale of 1:250,000 scale (NB 37-6),
Geological Survey of Ethiopia, Addis Ababa, 2012.
Hayward, N. J. and Ebinger, C. J.: Variations in the along-axis segmentation
of the Afar Rift system, Tectonics, 15, 244–257,
https://doi.org/10.1029/95TC02292, 1996.
Hearn, G. J.: Slope hazards on the Ethiopian road network, Q. J. Eng. Geol. Hydrogeol., 52, 295–311, 2018.
ISRM, International Society of Rock Mechanics Commission on Testing Methods:
Suggested method for determining point load strength, Int. J. Rock Mech.
Min. Sci. Geomech., 22, 51–60, https://doi.org/10.1016/0148-9062(85)92985-7, 1985.
Janetos, A. C. and Justice, C. O.: Land covers global productivity: a
measurement strategy for the NASA programme, Int. J. Remote
Sens., 21, 1491–1512, https://doi.org/10.1080/014311600210281, 2000.
JICA and GSE: The Project for Developing Countermeasures against Landslides
in the Abay River Gorge, technical report, Japan International Cooperation
Agency and Geological Survey of Ethiopia, Addis Ababa, 348 pp., 2012.
Kopačková, V., Rapprich, V., Sebesta, J., and Zelenkova, K.: Slope
dependent morphometric analysis as a tool contributing to reconstruction of
volcano evolution, In Earth and environmental sciences, InTech,
https://doi.org/10.5772/29466, 2011.
Kropáček, J., Vařilová, Z., Baroň, I., Bhattacharya, A.,
Eberle, J., and Hochschild, V.: Remote sensing for characterisation and
kinematic analysis of large slope failures: Debre sina landslide, main
ethiopian rift escarpment, Remote Sens., 7, 16183–16203,
https://doi.org/10.3390/rs71215821, 2015.
Kumar, V., Gupta, V., and Sundriyal, Y. P.: Spatial interrelationship of
landslides, litho-tectonics, and climate regime, Satluj valley, Northwest
Himalaya, Geol. J., 54, 537–551, https://doi.org/10.1002/gj.3204,
2019.
Kycl, P., Rapprich, V., Verner, K., Novotný, J., Hroch, T., Mišurec,
J., Eshetu, H., Haile, E. T., Alemayehu, L., and Goslar, T.: Tectonic
control of complex slope failures in the Ameka River Valley (Lower Gibe
Area, central Ethiopia): Implications for landslide formation,
Geomorphology, 288, 175–187, https://doi.org/10.1016/j.geomorph.2017.03.020, 2017.
Lemessa, G., Asfaw, B., Mamo, S., and Ashenafi, S.: Mass movement hazards
assessment on Betto and Sawla sub sheet of Goffa district, North Omo Zone,
Southern Nations Nationalities and People's Regional State, technical
Report, Geological Survey of Ethiopia, Addis Ababa, 2000.
Mancini, F., Ceppi, C., and Ritrovato, G.: GIS and statistical analysis for landslide susceptibility mapping in the Daunia area, Italy, Nat. Hazards Earth Syst. Sci., 10, 1851–1864, https://doi.org/10.5194/nhess-10-1851-2010, 2010.
Meinhardt, M., Fink, M., and Tünschel, H.: Landslide susceptibility
analysis in central Vietnam based on an incomplete landslide inventory:
Comparison of a new method to calculate weighting factors by means of
bivariate statistics, Geomorphology, 234, 80–97, https://doi.org/10.1016/j.geomorph.2014.12.042, 2015.
Melese, S. M.: Effect of land use land cover changes on the forest resources
of Ethiopia, International Journal of Natural Resource Ecology and
Management, 1, 51, https://doi.org/10.11648/j.ijnrem.20160102.16, 2016.
Muluneh, A. A., Cuffaro, M., and Doglioni, C.: Left-lateral transtension
along the Ethiopian Rift and constrains on the mantle-reference plate
motions, Tectonophysics, 632, 21–31, https://doi.org/10.1016/j.tecto.2014.05.036, 2014.
Peduzzi, P.: Landslides and vegetation cover in the 2005 North Pakistan earthquake: a GIS and statistical quantitative approach, Nat. Hazards Earth Syst. Sci., 10, 623–640, https://doi.org/10.5194/nhess-10-623-2010, 2010.
Pike, R. J.: Geomorphomery-diversity in quantitative surface analysis,
Prog. Phys. Geogr., 24, 1–20, https://doi.org/10.1177/030913330002400101, 2000.
Rapprich, V. and Eshetu, H.: Geological hazards and engineering geology maps of
Dilla NB 37-6, Czech Development Agency, Czech Geological Survey, Geological
Survey of Ethiopia, Addis Ababa, 2014.
Rapprich, V., Erban, V., Fárová, K., Kopačková, V., Bellon,
H., and Hernandez, W.: Volcanic history of the Conchagua Peninsula (eastern
El Salvador), J. Geosci., 55, 95–112, https://doi.org/10.3190/jgeosci.069, 2010.
Rapprich, V., Nida, D., and Bizuye, Y.: Geological hazards and engineering
geology maps of Hossana NB 37-2, Czech Development Agency, Czech Geological
Survey, Geological Survey of Ethiopia, Addis Ababa, 2014.
Saria, E., Calais, E., Stamps, D. S., Delvaux, D., and Hartnady, C. J. H.:
Present-day kinematics of the East African Rift, J. Geophys.
Res.-Sol. Ea., 119, 3584–3600, https://doi.org/10.1002/2013JB010901,
2014.
Sembroni, A., Faccenna, C., Becker T. W., Molin, P., and Abebe, B.:
Long-term, deep-mantle support of the Ethiopia-Yemen Plateau, Tectonics, 35,
69–488, https://doi.org/10.1002/2015TC004000, 2016.
Tadesse, T.: Recent landslide and resulting damages in the Blue Nile River
Gorge and its tributaries, Eastern Gojam Zone, Technical Report, Geological
Survey of Ethiopia, Addis Ababa, 1993.
Temesgen, B., Umer, M., Asrat, A., Berakhi, O., Ayele, A., Francesco, D., and
Demissie, M.: Landslide hazard on the slopes of Dabicho Ridge, Wondo Genet
area: the case of June 18, 1996 event, SINET: Ethiopian Journal of
Science, 22, 127–140, 1999.
Temesgen, B., Mohammed, M. U., and Korme, T.: Natural hazard assessment
using GIS and remote sensing methods, with particular reference to the
landslides in the Wondogenet area, Ethiopia, Phys. Chem. Earth Pt. C, 26, 665–675,
https://doi.org/10.1016/S1464-1917(01)00065-4, 2001.
U.S. Geological Survey: Earthquake Hazards Program, Advanced National
Seismic System (ANSS), Comprehensive Catalogue of Earthquake Events and
Products: Various, https://doi.org/10.5066/F7MS3QZH, 2017.
Vařilová, Z., Kropáček, J., Zvelebil, J.,
Šťastný, M., and Vilímek, V.: Reactivation of mass movements
in Dessie graben, the example of an active landslide area in the Ethiopian
Highlands, Landslides, 12, 985–996, https://doi.org/10.1007/s10346-015-0613-2, 2015.
Verner, K., Megerssa, L., Buriánek, D., Martínek, K., Hroch, T.,
Yakob, M., Haregot, A., Bewketu, H., Mosisa, A., Dalke, G.,
Hejtmánková, P., and Krejčí, Z.: Geological map at a scale
of 1:50 000, Geological and thematic maps at a scale of 1:50,000 for Mejo,
Leku, Arba Minch and Dila areas, SNNPR, Ethiopia. Czech Geological Survey,
Prague, Map Sheet 0638-D2 Mejo, 2018a.
Verner, K., Megerssa, L., Hroch, T., Buriánek, D., Martínek, K.,
Gebremariyam, H., Tadesse, E., Legesse, F., Nisra, E., Abateneh, B.,
Hejtmánková, P., and Krejčí, Z.: Geological map at a scale
of 1:50 000, Geological and thematic maps at a scale 1:50 000 for Mejo,
Leku, Arba Minch and Dila areas, SNNPR, Ethiopia, Czech Geological Survey,
Prague, Map Sheet 0637-D3 Arba Minch, 2018b.
Verner, K., Megerssa, L., Hroch, T., Buriánek, D., Martínek, K.,
Janderková, J., Šíma, J., Kryštofová, E., Gebremariyam,
H., Tadesse, E., Legesse, F., Nisra, E., Abateneh, B., Assefa, G., Valenta,
J., Pécskay, Z., Hejtmánková, P., and Krejčí, Z.:
Explanatory notes to the thematic geoscientific maps of Ethiopia at a scale
of 1:50 000, Czech Geological Survey, Prague, Map Sheet 0637-D3 Arba Minch,
2018c.
Verner, K., Megerssa, L., Hroch, T., Buriánek, D., Martínek, K.,
Yakob, M., Haregot, A., Janderková, J., Šíma, J.,
Kryštofová, E., Valenta, J., Bewketu, H., Mosisa, A., Dalke, G.,
Assefa, G., Pécskay, Z., Hejtmánková, P., and Krejčí,
Z.: Explanatory notes to the thematic geoscientific maps of Ethiopia at a
scale of 1:50 000, Czech Geological Survey, Prague, Map Sheet 0638-D2 Mejo,
2018d.
Wilks, M., Ayele, A., Kendall, J. M., and Wookey, J.: The 24th January 2016
Hawassa earthquake: Implications for seismic hazard in the Main Ethiopian
Rift, J. Afr. Earth Sci., 125, 118–125,
https://doi.org/10.1016/j.jafrearsci.2016.11.007, 2017.
Williams, F. M., Williams, M. A. J., and Aumento, F.: Tensional fissures and
crustal extension rates in the northern part of the Main Ethiopian Rift,
J. Afr. Earth Sci., 38, 183–197, https://doi.org/10.1016/j.afrearsci.2003.10.007, 2004.
Woldearegay, K.: Review of the occurrences and influencing factors of
landslides in the highlands of Ethiopia: With implications for
infrastructural development, Momona Ethiopian Journal of Science, 5, 3–31,
https://doi.org/10.4314/mejs.v5i1.85329, 2013.
Woldegabriel, G., Heiken, G., White, T. D., Asfaw, B., Hart, W. K., and
Renne, P. R.: Volcanism, tectonism, sedimentation, and the
paleoanthropological record in the Ethiopian Rift System, Special
papers-Geological Society of America, 83–99, 2000.
Wolfenden, E., Ebinger, C., Yirgu, G., Deino, A., and Ayale, D.: Evolution of the
northern Main Ethiopian rift: birth of a triple junction, Earth
Planet. Sc. Lett., 224, 213–228,
https://doi.org/10.1016/j.epsl.2004.04.022, 2004.
Wood, J. D.: The geomorphologic characterization of digital elevation
models, PhD Thesis, University of Leicester, UK, 1996.
Wotchoko, P., Bardintzeff, J. M., Itiga, Z., Nkouathio, D. G., Guedjeo, C.
S., Ngnoupeck, G., Dongmo, A., and Wandji, P.: Geohazards (Floods and
Landslides) in the Ndop Plain, Cameroon volcanic nine, Open Geosci., 8,
429–449, https://doi.org/10.1515/geo-2016-0030, 2016.
Xue, L., Alemu, T., Gani, N. D., and Abdelsalama, M. G.: Spatial and
temporal variation of tectonic uplift in the southeastern Ethiopian Plateau
from morphotectonic analysis, Geomorphology, 309, 98–111,
https://doi.org/10.1016/j.geomorph.2018.02.025, 2018.
Yekoye, B., Yewubinesh, B., and Debebe, N.: Engineering Geological Map of
Hosaina sheet (NB 37-2) at scale of 1:250 000, Geological Survey of
Ethiopia, Addis Ababa, 2012.
Zvelebil, J., Šíma, J., and Vilímek, V.: Geo-risk management
for developing countries – vulnerability to mass wasting in the Jemma River
Basin, Ethiopia, Landslides, 7, 99–103, https://doi.org/10.1007/s10346-009-0191-2, 2010.
Zwaan, F. and Schreurs, G.: Rift segment interaction in orthogonal and rotational
extension experiments: Implications for the large-scale development of rift
systems, J. Struct. Geol., 140, 1–17,
https://doi.org/10.1016/j.jsg.2020.104119, 2020.
Short summary
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.
This study combines field geological and geohazard mapping with remote sensing data....
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