Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1353-2020
© Author(s) 2020. 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-20-1353-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 May 2020
Research article |
| 20 May 2020
| 20 May 2020
Geo-climatic hazards in the eastern subtropical Andes: distribution, climate drivers and trends
Iván Vergara
CORRESPONDING AUTHOR
CONICET-IPATEC, Bariloche, 8400, Argentina
Stella M. Moreiras
CONICET-IANIGLA, Mendoza, 5500, Argentina
Department of Agricultural Sciences, National University of Cuyo, Mendoza, 5502, Argentina
Diego Araneo
CONICET-IANIGLA, Mendoza, 5500, Argentina
Department of Exact and Natural Sciences, National University of Cuyo, Mendoza, 5502, Argentina
René Garreaud
Department of Geophysics, University of Chile, Santiago, 8330015, Chile
Center for Climate and Resilience Research, Santiago, 8320198, Chile
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EGUsphere, https://doi.org/10.5194/egusphere-2025-517, https://doi.org/10.5194/egusphere-2025-517, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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This study focuses on hyperdroughts (HDs) in central Chile, defined as years with a regional rainfall deficit exceeding 75 %. Only five HDs occurred in the last century (1924, 1968, 1998, 2019, 2021), but they caused disproportionate environmental and social impacts. In some systems, the effects were larger than expected from those considering moderate droughts and dependent on the antecedent conditions. HDs have analogs from the remote past, and they are expected to increase in the near future.
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The denudation rate was modelled in over a thousand basins across the Earth. The results suggest that water and associated life have a positive effect across their whole range, which is regulated by topography. Because of this, bioclimatic effect is weak in flat landscapes, but it could vary denudation forty times in mountain settings. It was also observed that other things being equal, water availability steepens basins, so climate also has an indirect effect acting on geological timeframes.
René Garreaud, Juan Pablo Boisier, Camila Álvarez-Garreton, Duncan Christie, Tomás Carrasco-Escaff, Iván Vergara, Roberto O. Chávez, Paulina Aldunce, Pablo Camus, Manuel Suazo-Álvarez, Mariano Masiokas, Gabriel Castro, Ariel Muñoz, Mauricio Zambrano-Bigiarini, Rodrigo Fuster, and Lintsiee Godoy
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This study focuses on hyperdroughts (HDs) in central Chile, defined as years with a regional rainfall deficit exceeding 75 %. Only five HDs occurred in the last century (1924, 1968, 1998, 2019, 2021), but they caused disproportionate environmental and social impacts. In some systems, the effects were larger than expected from those considering moderate droughts and dependent on the antecedent conditions. HDs have analogs from the remote past, and they are expected to increase in the near future.
Ignacio Ortiz Diaz, María Gabriela Lenzano, and Diego Araneo
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Ivan Vergara, Fernanda Santibañez, René Garreaud, and Germán Aguilar
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2024-27, https://doi.org/10.5194/esd-2024-27, 2024
Manuscript not accepted for further review
Short summary
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The denudation rate was modelled in over a thousand basins across the Earth. The results suggest that water and associated life have a positive effect across their whole range, which is regulated by topography. Because of this, bioclimatic effect is weak in flat landscapes, but it could vary denudation forty times in mountain settings. It was also observed that other things being equal, water availability steepens basins, so climate also has an indirect effect acting on geological timeframes.
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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.
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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
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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.
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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.
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.
Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan
Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023, https://doi.org/10.5194/nhess-23-2625-2023, 2023
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We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
Cited articles
AMC: Data of Lagunitas meteorological station, available at: https://www.codelco.com/andina, last access: 8 January 2018.
Araneo, D., Simonelli, S., Norte, F., Viale, M., and Santos, R.:
Caracterización de sondeos estivales del norte de Mendoza mediante el
análisis de componentes principales y obtención de un índice de
convección, Meteorologica, 36, 31–47, 2011.
Barros, V. R., Boninsegna, J. A., Camilloni, I. A., Chidiak, M., Magrín, G. O., and Rusticucci, M.: Climate change in Argentina: trends, projections, impacts and adaptation, WIREs Clim. Change, 6, 151–169,
https://doi.org/10.1002/wcc.316, 2015.
Boisier, J. P., Rondanelli, R., Garreaud, R. D., and Muñoz, F.: Anthropogenic and natural contributions to the Southeast Pacific precipitation decline and recent megadrought in central Chile, Geophys. Res.
Lett., 43, 413–421, 2016.
Boisier, J. P., Alvarez-garreton, C., Cordero, R. R., Damiani, A., Gallardo,
L., Garreaud, R., Lambert, F., Ramallo, C., and Rojas, M.: Anthropogenic
Drying in Central-Southern Chile Evidenced by Long-Term Observations and
Climate Model Simulations, Elementa Science of the Antropocene, 6, 1–20, https://doi.org/10.1525/elementa.328, 2018.
Bozkurt, D., Rojas, M., and Boisier, J. P.: Projected Hydroclimate Changes
over Andean Basins in Central Chile from Downscaled CMIP5 Models under the
Low and High Emission Scenarios, Climatic Change, 150, 131–147, https://doi.org/10.1007/s10584-018-2246-7, 2018.
Carrasco, J. F., Casassa, G., and Quintana, J.: Changes of the 0 ∘C isotherm and the equilibrium line altitude in central Chile during the
last quarter of the 20th century, Hydrolog. Sci. J., 50, 933–948, 2005.
Carrasco, J. F., Osorio, R., and Casassa, G.: Secular trend of the
equilibrium-line altitude on the western side of the southern Andes, derived
from radiosonde and surface observations, J. Glaciol., 54(186), 538-550,
2008.
Carretier, S., Regard, V., Vassallo, R., Aguilar, G., Martinod, J., Riquelme, R., Pepin, E., Charrier, R., Hérail, G., Farías, M., Guyot, J.-L., Vargas, G., and Lagane, C.: Slope and climate variability control of erosion in the Andes of central Chile, Geology, 41, 195–198, 2013.
DGA: Statistics of meteorological stations, avaiable at: https://dga.mop.gob.cl/Paginas/default.aspx, last access: 8 January 2018.
Falvey, M. and Garreaud, R.: Wintertime Precipitation Episodes in Central
Chile: Associated Meteorological Conditions and Orographic Influences, J.
Hydrometeorol., 8, 171–193, 2007.
Falvey, M. and Garreaud, R.: Regional cooling in a warming world: Recent temperature trends in the southeast Pacific and along the west coast of
subtropical South America (1979–2006), J. Geophys. Res.-Atmos., 114, 1–16, 2009.
García-Portugués, E., Crujeiras, R. M., and González-manteiga,
W.: Kernel density estimation for directional–linear data, J. Multivar. Anal., 121, 152–175, 2013.
Garreaud, R.: Estimación de la altura de la línea de nieve en cuencas de Chile central, Rev. Chilena de Ing. Hidráulica, 7, 21–32, 1992.
Garreaud, R.: Warm winter storms in Central Chile, J. HydrometeorOL., 14,
1515–1534, 2013.
Garreaud, R., Vuille, M., Compagnucci, R., and Marengo, J.: Present-day South American Climate, Palaeogeogr. Palaeocl., 281, 180–195, 2009.
Garreaud, R., Viale, M.: Análisis de los fenómenos meteorológicos y climáticos que afectan la cuenca del río Maipo, Aquae Papers, 5, 17–29, 2014.
Garreaud, R. D., Alvarez-Garreton, C., Barichivich, J., Boisier, J. P., Christie, D., Galleguillos, M., LeQuesne, C., McPhee, J., and Zambrano-Bigiarini, M.: The 2010–2015 megadrought in central Chile: impacts on regional hydroclimate and vegetation, Hydrol. Earth Syst. Sci., 21, 6307–6327, https://doi.org/10.5194/hess-21-6307-2017, 2017.
Hall, P., Watson, G. S., and Cabrera, J.: Kernel Density Estimation with Spherical Data, Biometrika, 74, 751–762, 1987.
IANIGLA: Inventario Nacional de Glaciares, available at:
http://www.glaciaresargentinos.gob.ar/, last access: 8 January 2018.
Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P.: CMORPH: a method
that produces global precipitation estimates from passive microwave and
infrared data at high spatial and temporal resolution, J. Hydrometeorol., 5,
487–503, 2004.
Junquas, C., Vera, C., Li, L., and Le Treut, H.: Summer Precipitation
Variability over Southeastern South America in a Global Warming Scenario,
Clim. Dynam., 38, 1867–1883, 2012.
Kendall, M. G. (Ed.): Rank correlation methods, Griffin, London, 1975.
Labraga, J. C.: Statistical Downscaling Estimation of Recent Rainfall Trends in the Eastern Slope of the Andes Mountain Range in Argentina, Theor. Appl. Climatol., 99, 287–302, 2010.
Mann, H. B.: Non-parametric test against trend, Econometrica, 13, 245–259,
1945.
Masiokas, M. H., Villalba, R., Luckman, B. H., Le Quesne, C., and Aravena, J. C.: Snowpack Variations in the Central Andes of Argentina and Chile, 1951–2005: Large-Scale Atmospheric Influences and Implications for Water
Resources in the Region, J. Climate, 19, 6334–6352, 2006.
Mergili, M., Fellin, W., Moreiras, S. M., and Stötteret, J.: Simulation
of debris flows in the Central Andes based on Open Source GIS: possibilities, limitations, and parameter sensitivity, Nat. Hazards, 61, 1051–1081, 2012.
Montecinos, A., Díaz, A., and Aceituno, P.: Seasonal Diagnostic and
Predictability of Rainfall in Subtropical South America Based on Tropical
Pacific SST, J. Climate, 13, 746–758, 2000.
Moreiras, S. M.: Climatic effect of ENSO associated with landslide occurrence in the Central Andes, Mendoza Province, Argentina, Landslides, 2, 53–59, 2005a.
Moreiras, S. M.: Landslide susceptibility zonation in the Rio Mendoza Valley, Argentina, Geomorphology, 66, 345–357, 2005b.
Moreiras, S. M.: Frequency of debris flows and rockfall along the Mendoza river valley (Central Andes), Argentina: Associated risk and future scenario, Quatern. Int., 158, 110–121, 2006.
Moreiras, S. M.: Análisis estadístico probabilístico de las
variables que condicionan la inestabilidad de las laderas en los valles de
los ríos Las Cuevas y Mendoza, Rev. Asoc. Geol. Argent., 65, 780–790, 2009.
Moreiras, S. M. and Vergara Dal Pont, I.: Climate Change Driving Greater
Slope Instability in the Central Andes, in: Advancing Culture of Living with
Landslides, edited by: Mikoš, M., Vilímek, V., Yin, Y., and Sassa, K., Springer, Cham, 191–197, 2017.
Moreiras, S., Lisboa, M. S., and Mastrantonio, L.: The role of snow melting
upon landslides in the central Argentinean Andes, Earth Surf. Proc. Land., 37, 1106–1119, 2012.
Moreiras, S. M., Vergara Dal Pont, I., and Araneo, D.: Were merely storm-landslides driven by the 2015–2016 Niño in the Mendoza River valley?, Landslides, 15, 997–1014, 2018.
Muñoz, F. and Garreaud, R.: Station data (rainfall, temperatures) for Chile were downloaded from the CR(2) website, available at: http://explorador.cr2.cl/, last access: 8 January 2018.
ONDaT: Tránsito Medio Diario Anual (TMDA) en rutas nacionales, available at: http://ondat.fra.utn.edu.ar/, last access: 8 January 2018.
Paruelo, J. M., Jobbagy, E. G., and Sala, O. E.: Current distribution of
ecosystem functional types in temperate South America, Ecosystems, 4, 683–698, 2001.
Pavlova, I., Jomelli, V., Brunstein, D., Grancher, D., Martin, E., and
Déqué, M.: Debris flow activity related to recent climate conditions
in the French Alps: A regional investigation, Geomorphology, 219, 248–259, 2014.
Ramos, V. A.: Evolución tectónica de la Alta Cordillera de San Juan
y Mendoza, in: Geología de la región del Aconcagua, provincias de
San Juan y Mendoza, edited by: Ramos, V. A., Aguirre-Urreta, M. B., Alvarez, P. P., Cegarra, M., Cristallini, E. O., Kay, S. M., Lo Forte, G. L., Pereyra, F., and Pérez, D., Dirección Nacional del Servicio Geológico, Buenos Aires, 447–460, 1996.
Rivera, J., Penalba, O., Villalba, R., and Araneo, D.: Spatio-Temporal Patterns of the 2010–2015 Extreme Hydrological Drought across the Central
Andes, Argentina, Water, 9, 652, https://doi.org/10.3390/w9090652, 2017.
SADSN: Cambio Climático en Argentina; Tendencias y Proyecciones, available at: http://3cn.cima.fcen.uba.ar/3cn_informe.php, last access: 8 January 2018.
Saluzzi, M. E.: Aspectos físicos de la convección severa en Mendoza, PhD Thesis, Universidad de Buenos Aires, Buenos Aires, Argentina, 1983.
Sarricolea, P., Herrera-Ossandon, M., and Meseguer-Ruiz, Ó.: Climatic
regionalisation of continental Chile, J. Maps, 13, 66–73, 2016.
Scian, B., Labraga, J. C., Reimers, W., and Frumento, O.: Characteristics of
Large-Scale Atmospheric Circulation Related to Extreme Monthly Rainfall
Anomalies in the Pampa Region, Argentina, under Non-ENSO Conditions, Theor. Appl. Climatol., 85, 89–106, 2006.
Secretary of Infrastructure and Water Policy: Station data (rainfall, temperatures) for Argentina were downloaded from the Integrated Hydrological Database, available at: http://bdhi.hidricosargentina.gob.ar/, last access: 8 January 2018.
Sen, P. K.: Estimates of the regression coefficient based on Kendall's tau,
J. Am. Stat. Assoc., 63, 1379–1389, 1968.
Sepúlveda, S. A. and Moreiras, S. M.: Large volume Landslides in the
Central Andes of Chile and Argentina (32∘–34∘ S) and related hazards, Bull. Eng. Geol. Environ., 6, 287–294, 2013.
Sepúlveda, S. A., Moreiras, S. M., Lara, M., and Alfaro, A.: Debris flows in the Andean ranges of central Chile and Argentina triggered by 2013 summer storms: characteristics and consequences, Landslides, 12, 115–133,
2015.
SMN: Meteorological stations network, available at:
https://back.argentina.gob.ar/interior, last access: 8 January 2018.
Staley, D., Negri, J., Kean, J., Laber, J., Tillery, A., and Youberg, A.:
Prediction of spatially explicit rainfall intensity-duration thresholds for
post-fire debris-flow generation in the western United States, Geomorphology, 278, 149–162, 2017.
Trombotto D., Buk, E., and Hernández, J.: Monitoring of Mountain Permafrost in the Central Andes, Cordon del Plata, Mendoza, Argentina,
Permafrost. Periglac., 8, 123–129, 1997.
USGS: Earthquake Catalog, available at: https://earthquake.usgs.gov/earthquakes/search/, last access: 8 January 2018.
Vera, C. and Díaz, L.: Anthropogenic Influence on Summer Precipitation
Trends over South America in CMIP5 Models, Int. J. Climatol., 35, 3172–3177,
2015.
Vera, C., Higgins, W., Amador, J., Ambrizzi, T., Garreaud, R., Gochis, D., Gutzler, D., Lettenmaier, D., Marengo J., Mechoso, C. R., Nogues-Paegle, J., Dias, P. L., and Zhang, C.: Toward a Unified View of the American Monsoon Systems, J. Climate, 19, 4977–5000, 2006.
Vergara Dal Pont, I. P., Santibañez, F., Araneo, D., Ferrando, F., and
Moreiras, S.: Determination of probabilities for the generation of high-discharge flows in the middle basin of Elqui River, Chile, Nat. Hazards, 93, 531–546, 2018.
Vergara Dal Pont, I. P., Moreiras, S. M., Santibañez, F., Araneo, D., and Ferrando, F.: Debris flows triggered from melt of seasonal snow and ice within the active layer in the Semi-Arid Andes, Permafrost. Periglac., 31, 57–68, 2020.
Viale, M. and Garreaud, R.: Summer Precipitation Events over the Western Slope of the Subtropical Andes, Mon. Weather Rev., 142, 1074–1092, 2014.
Viale, M. and Garreaud, R.: Orographic effects of the subtropical and
extratropical Andes on upwind precipitating clouds, J. Geophys. Res.-Atmos., 120, 4962–4974, 2015.
Viale, M. and Nuñez, M.: Climatology of Winter Orographic Precipitation
over the Subtropical Central Andes and associated synoptic and regional
characteristics, J. Hydrometeorol., 12, 481–507, 2011.
Viale, M., Bianchi, E., Cara, L., Ruiz, L., Villalba, R., Pitte, P., Masiokas, M., Rivera, J., and Zalazar, L.: Contrasting Climates at Both Sides of the Andes in Argentina and Chile, Front. Environ. Sci., 7, 69, https://doi.org/10.3389/fenvs.2019.00069, 2019.
Vuille, M., Franquist, E., Garreaud, R., Sven, W., Casimiro, L., and Cáceres, B.: Impact of the global warming hiatus on Andean temperature, J. Geophys. Res.-Atmos., 120, 3745–3757, 2015.
White, A. B., Gottas, D. J., Henkel, A. F., Neiman, P. J., Ralph, F. M., and
Gutman, S. I.: Developing a performance measure for snow-level forecasts, J.
Hydrometeorol., 11, 739–753, 2010.
Zar, J.: Significance Testing of the Spearman Rank Correlation Coefficient.
J. Am. Stat. Assoc., 67, 578–580, 1972.
Zieffler, A. S., Harring, J. R., and Long, J. D.: Comparing Groups: Randomization and Bootstrap Methods Using R, Wiley, New York, 2011.
Short summary
Geo-climatic hazards usually cause large losses of human life and economic losses. As they are very susceptible to weather, in many regions of the world these hazards are changing in frequency and magnitude due to current climate change. The purpose of this paper is to understand if, in the subtropical Andes of Argentina, these phenomena are increasing or decreasing and subsequently to understand the causes of these possible changes.
Geo-climatic hazards usually cause large losses of human life and economic losses. As they are...
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