Articles | Volume 18, issue 5
https://doi.org/10.5194/nhess-18-1427-2018
© Author(s) 2018. 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-18-1427-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2018
Research article |
| 25 May 2018
| 25 May 2018
The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides
Ingeborg K. Krøgli
CORRESPONDING AUTHOR
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Graziella Devoli
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Department of Geosciences, University of Oslo, Oslo, 0316, Norway
Hervé Colleuille
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Søren Boje
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Monica Sund
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Inger Karin Engen
Department of
Hydrology, Norwegian Water Resources and Energy Directorate (NVE), Oslo,
0368, Norway
Related authors
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Monica Sund, Heidi A. Grønsten, and Siv Å. Seljesæter
Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024, https://doi.org/10.5194/nhess-24-1185-2024, 2024
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Slushflows are rapid mass movements of water-saturated snow released in gently sloping terrain (< 30°), often unexpectedly. Early warning is crucial to prevent casualties and damage to infrastructure. A regional early warning for slushflow hazard was established in Norway in 2013–2014 and has been operational since. We present a methodology using the ratio between water supply and snow depth by snow type to assess slushflow hazard. This approach is useful for other areas with slushflow hazard.
Graziella Devoli, Davide Tiranti, Roberto Cremonini, Monica Sund, and Søren Boje
Nat. Hazards Earth Syst. Sci., 18, 1351–1372, https://doi.org/10.5194/nhess-18-1351-2018, https://doi.org/10.5194/nhess-18-1351-2018, 2018
Luca Piciullo, Mads-Peter Dahl, Graziella Devoli, Hervé Colleuille, and Michele Calvello
Nat. Hazards Earth Syst. Sci., 17, 817–831, https://doi.org/10.5194/nhess-17-817-2017, https://doi.org/10.5194/nhess-17-817-2017, 2017
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The landslide early warning system operational in Norway is managed, since 2013, by the NVE and has been designed for monitoring and forecasting the hydrometeorological conditions potentially triggering slope failures. Daily alerts are issued throughout the country considering variable size warning zones. The performance of the warnings issued is evaluated through the adapted EDuMaP method. Different performance results are observed as a function of the landslide density criterion use.
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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.
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
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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.
Jiao Wang, Zhangxing Wang, Guanhua Sun, and Hongming Luo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-181, https://doi.org/10.5194/nhess-2023-181, 2023
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By a simplified formula linking rainfall and groundwater level, the rise of the phreatic surface within the slope can be obtained. Then, we derive the calculation of the seepage force. 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 earthquake. The reliability of the proposed method is also verified with two examples combining software calculations and previous results.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-185, https://doi.org/10.5194/nhess-2023-185, 2023
Revised manuscript accepted for NHESS
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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 percent, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
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.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
EGUsphere, https://doi.org/10.5194/egusphere-2023-1892, https://doi.org/10.5194/egusphere-2023-1892, 2023
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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.
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.
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
EGUsphere, https://doi.org/10.5194/egusphere-2023-1672, https://doi.org/10.5194/egusphere-2023-1672, 2023
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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.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-140, https://doi.org/10.5194/nhess-2023-140, 2023
Revised manuscript accepted for NHESS
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Central Asia regions are characterized 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 potential damming scenarios which endanger the population. To prevent this, a semi-automated GIS-based mapping method, centred on a bivariate correlation of morphometric parameters, was applied to spatially assess the rivers obstruction in Central Asia.
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.
Simon Seelig, Thomas Wagner, Karl Krainer, Michael Avian, Marc Olefs, Klaus Haslinger, and Gerfried Winkler
Nat. Hazards Earth Syst. Sci., 23, 2547–2568, https://doi.org/10.5194/nhess-23-2547-2023, https://doi.org/10.5194/nhess-23-2547-2023, 2023
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A rapid sequence of cascading events involving thermokarst lake outburst, rock glacier front failure, debris flow development, and river blockage hit an alpine valley in Austria during summer 2019. We analyze the environmental conditions initiating the process chain and identify the rapid evolution of a thermokarst channel network as the main driver. Our results highlight the need to account for permafrost degradation in debris flow hazard assessment studies.
Camilla Lanfranconi, Paolo Frattini, Gianluca Sala, Giuseppe Dattola, Davide Bertolo, Juanjuan Sun, and Giovanni Battista Crosta
Nat. Hazards Earth Syst. Sci., 23, 2349–2363, https://doi.org/10.5194/nhess-23-2349-2023, https://doi.org/10.5194/nhess-23-2349-2023, 2023
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This paper presents a study on rockfall dynamics and hazard, examining the impact of the presence of trees along slope and block fragmentation. We compared rockfall simulations that explicitly model the presence of trees and fragmentation with a classical approach that accounts for these phenomena in model parameters (both the hazard and the kinetic energy change). We also used a non-parametric probabilistic rockfall hazard analysis method for hazard mapping.
Ascanio Rosi, William Frodella, Nicola Nocentini, Francesco Caleca, Hans Balder Havenith, Alexander Strom, Mirzo Saidov, Gany Amirgalievich Bimurzaev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 23, 2229–2250, https://doi.org/10.5194/nhess-23-2229-2023, https://doi.org/10.5194/nhess-23-2229-2023, 2023
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This work was carried out within the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) project and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. The most detailed available landslide inventories were implemented in a random forest model. The final aim was to provide a useful tool for reduction strategies to landslide scientists, practitioners, and administrators.
Francis K. Rengers, Luke A. McGuire, Katherine R. Barnhart, Ann M. Youberg, Daniel Cadol, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 23, 2075–2088, https://doi.org/10.5194/nhess-23-2075-2023, https://doi.org/10.5194/nhess-23-2075-2023, 2023
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Debris flows often occur after wildfires. These debris flows move water, sediment, and wood. The wood can get stuck in channels, creating a dam that holds boulders, cobbles, sand, and muddy material. We investigated how the channel width and wood length influenced how much sediment is stored. We also used a series of equations to back calculate the debris flow speed using the breaking threshold of wood. These data will help improve models and provide insight into future field investigations.
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-24, https://doi.org/10.5194/nhess-2023-24, 2023
Revised manuscript accepted for NHESS
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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 differs depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
Maxime Morel, Guillaume Piton, Damien Kuss, Guillaume Evin, and Caroline Le Bouteiller
Nat. Hazards Earth Syst. Sci., 23, 1769–1787, https://doi.org/10.5194/nhess-23-1769-2023, https://doi.org/10.5194/nhess-23-1769-2023, 2023
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In mountain catchments, damage during floods is generally primarily driven by the supply of a massive amount of sediment. Predicting how much sediment can be delivered by frequent and infrequent events is thus important in hazard studies. This paper uses data gathered during the maintenance operation of about 100 debris retention basins to build simple equations aiming at predicting sediment supply from simple parameters describing the upstream catchment.
Elsa S. Culler, Ben Livneh, Balaji Rajagopalan, and Kristy F. Tiampo
Nat. Hazards Earth Syst. Sci., 23, 1631–1652, https://doi.org/10.5194/nhess-23-1631-2023, https://doi.org/10.5194/nhess-23-1631-2023, 2023
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Landslides have often been observed in the aftermath of wildfires. This study explores regional patterns in the rainfall that caused landslides both after fires and in unburned locations. In general, landslides that occur after fires are triggered by less rainfall, confirming that fire helps to set the stage for landslides. However, there are regional differences in the ways in which fire impacts landslides, such as the size and direction of shifts in the seasonality of landslides after fires.
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci., 23, 1483–1506, https://doi.org/10.5194/nhess-23-1483-2023, https://doi.org/10.5194/nhess-23-1483-2023, 2023
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We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false-alarm rates.
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, and Mohit Kumar Punia
Nat. Hazards Earth Syst. Sci., 23, 1425–1431, https://doi.org/10.5194/nhess-23-1425-2023, https://doi.org/10.5194/nhess-23-1425-2023, 2023
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The NW Himalaya has been one of the most affected terrains of the Himalaya, subject to disastrous landslides. This article focuses on two towns (Joshimath and Bhatwari) of the NW Himalaya, which have been witnessing subsidence for decades. We used a slope stability simulation to determine the response of the hillslopes accommodating these towns under various loading conditions. We found that the maximum displacement in these hillslopes might reach up to 20–25 m.
Yu Zhuang, Aiguo Xing, Perry Bartelt, Muhammad Bilal, and Zhaowei Ding
Nat. Hazards Earth Syst. Sci., 23, 1257–1266, https://doi.org/10.5194/nhess-23-1257-2023, https://doi.org/10.5194/nhess-23-1257-2023, 2023
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Tree destruction is often used to back calculate the air blast impact region and to estimate the air blast power. Here we established a novel model to assess air blast power using tree destruction information. We find that the dynamic magnification effect makes the trees easier to damage by a landslide-induced air blast, but the large tree deformation would weaken the effect. Bending and overturning are two likely failure modes, which depend heavily on the properties of trees.
Suzanne Lapillonne, Firmin Fontaine, Frédéric Liebault, Vincent Richefeu, and Guillaume Piton
Nat. Hazards Earth Syst. Sci., 23, 1241–1256, https://doi.org/10.5194/nhess-23-1241-2023, https://doi.org/10.5194/nhess-23-1241-2023, 2023
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Debris flows are fast flows most often found in torrential watersheds. They are composed of two phases: a liquid phase which can be mud-like and a granular phase, including large boulders, transported along with the flow. Due to their destructive nature, accessing features of the flow, such as velocity and flow height, is difficult. We present a protocol to analyse debris flow data and results of the Réal torrent in France. These results will help experts in designing models.
Carlos Millán-Arancibia and Waldo Lavado-Casimiro
Nat. Hazards Earth Syst. Sci., 23, 1191–1206, https://doi.org/10.5194/nhess-23-1191-2023, https://doi.org/10.5194/nhess-23-1191-2023, 2023
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This study is the first approximation of regional rainfall thresholds for shallow landslide occurrence in Peru. This research was generated from a gridded precipitation data and landslide inventory. The analysis showed that the threshold based on the combination of mean daily intensity–duration variables gives the best results for separating rainfall events that generate landslides. Through this work the potential of thresholds for landslide monitoring at the regional scale is demonstrated.
Luca Verrucci, Giovanni Forte, Melania De Falco, Paolo Tommasi, Giuseppe Lanzo, Kevin W. Franke, and Antonio Santo
Nat. Hazards Earth Syst. Sci., 23, 1177–1190, https://doi.org/10.5194/nhess-23-1177-2023, https://doi.org/10.5194/nhess-23-1177-2023, 2023
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Stability analyses in static and seismic conditions were performed on four rockslides that occurred during the main shocks of the 2016–2017 central Italy seismic sequence. These results also indicate that specific structural features of the slope must carefully be accounted for in evaluating potential hazards on transportation infrastructures in mountainous regions.
Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
Nat. Hazards Earth Syst. Sci., 23, 1157–1175, https://doi.org/10.5194/nhess-23-1157-2023, https://doi.org/10.5194/nhess-23-1157-2023, 2023
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The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
Joshua N. Jones, Georgina L. Bennett, Claudia Abancó, Mark A. M. Matera, and Fibor J. Tan
Nat. Hazards Earth Syst. Sci., 23, 1095–1115, https://doi.org/10.5194/nhess-23-1095-2023, https://doi.org/10.5194/nhess-23-1095-2023, 2023
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We modelled where landslides occur in the Philippines using landslide data from three typhoon events in 2009, 2018, and 2019. These models show where landslides occurred within the landscape. By comparing the different models, we found that the 2019 landslides were occurring all across the landscape, whereas the 2009 and 2018 landslides were mostly occurring at specific slope angles and aspects. This shows that landslide susceptibility must be considered variable through space and time.
Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093, https://doi.org/10.5194/nhess-23-1079-2023, https://doi.org/10.5194/nhess-23-1079-2023, 2023
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Debris flows represent a threat to infrastructure and the population. In arid areas, they are observed when heavy rainfall hits steep slopes with sediments. Here, we use digital surface models and radar rainfall data to detect and characterize the triggering and non-triggering rainfall conditions. We find that rainfall intensity alone is insufficient to explain the triggering. We suggest that antecedent rainfall could represent a critical factor for debris flow triggering in arid regions.
Xun Huang, Zhijian Zhang, and Guoping Xiang
Nat. Hazards Earth Syst. Sci., 23, 871–889, https://doi.org/10.5194/nhess-23-871-2023, https://doi.org/10.5194/nhess-23-871-2023, 2023
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A sensitivity analysis on the building impact force resulting from the representative built environment parameters is executed through the FLOW-3D model. The surrounding buildings' properties, especially the azimuthal angle, have been confirmed to play significant roles in determining the peak impact forces. The single and combined effects of built environments are analyzed in detail. This will improve understanding of vulnerability assessment and migration design against debris flow hazards.
Jean-Claude Maki Mateso, Charles L. Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci., 23, 643–666, https://doi.org/10.5194/nhess-23-643-2023, https://doi.org/10.5194/nhess-23-643-2023, 2023
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This research highlights the importance of human activities on the occurrence of landslides and the need to consider this context when studying hillslope instability patterns in regions under anthropogenic pressure. Also, this study highlights the importance of considering the timing of landslides and hence the added value of using historical information for compiling an inventory.
Jakob Rom, Florian Haas, Tobias Heckmann, Moritz Altmann, Fabian Fleischer, Camillo Ressl, Sarah Betz-Nutz, and Michael Becht
Nat. Hazards Earth Syst. Sci., 23, 601–622, https://doi.org/10.5194/nhess-23-601-2023, https://doi.org/10.5194/nhess-23-601-2023, 2023
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In this study, an area-wide slope-type debris flow record has been established for Horlachtal, Austria, since 1947 based on historical and recent remote sensing data. Spatial and temporal analyses show variations in debris flow activity in space and time in a high-alpine region. The results can contribute to a better understanding of past slope-type debris flow dynamics in the context of extreme precipitation events and their possible future development.
Tom Birien and Francis Gauthier
Nat. Hazards Earth Syst. Sci., 23, 343–360, https://doi.org/10.5194/nhess-23-343-2023, https://doi.org/10.5194/nhess-23-343-2023, 2023
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On highly fractured rockwalls such as those found in northern Gaspésie, most rockfalls are triggered by weather conditions. This study highlights that in winter, rockfall frequency is 12 times higher during a superficial thaw than during a cold period in which temperature remains below 0 °C. In summer, rockfall frequency is 22 times higher during a heavy rainfall event than during a mainly dry period. This knowledge could be used to implement a risk management strategy.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
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We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 23, 205–229, https://doi.org/10.5194/nhess-23-205-2023, https://doi.org/10.5194/nhess-23-205-2023, 2023
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In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018, https://doi.org/10.5194/nhess-22-4011-2022, https://doi.org/10.5194/nhess-22-4011-2022, 2022
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Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Marc Peruzzetto, Yoann Legendre, Aude Nachbaur, Thomas J. B. Dewez, Yannick Thiery, Clara Levy, and Benoit Vittecoq
Nat. Hazards Earth Syst. Sci., 22, 3973–3992, https://doi.org/10.5194/nhess-22-3973-2022, https://doi.org/10.5194/nhess-22-3973-2022, 2022
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Volcanic edifices result from successive construction and dismantling phases. Thus, the geological units forming volcanoes display complex geometries. We show that such geometries can be reconstructed thanks to aerial views, topographic surveys and photogrammetric models. In our case study of the Samperre cliff (Martinique, Lesser Antilles), it allows us to link destabilizations from a rocky cliff to the existence of a filled paleo-valley and estimate a potentially unstable volume.
Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814, https://doi.org/10.5194/nhess-22-3793-2022, https://doi.org/10.5194/nhess-22-3793-2022, 2022
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The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci., 22, 3751–3764, https://doi.org/10.5194/nhess-22-3751-2022, https://doi.org/10.5194/nhess-22-3751-2022, 2022
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The landslide hazard models assist in mitigating losses due to landslides. However, these models depend on landslide databases, which often have missing triggering information, rendering these databases unusable for landslide hazard models. In this work, we developed a Python library, Landsifier, consisting of three different methods to identify the triggers of landslides. These methods can classify landslide triggers with high accuracy using only a landslide polygon shapefile as an input.
Axel A. J. Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci., 22, 3679–3700, https://doi.org/10.5194/nhess-22-3679-2022, https://doi.org/10.5194/nhess-22-3679-2022, 2022
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Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, https://doi.org/10.5194/nhess-22-3641-2022, https://doi.org/10.5194/nhess-22-3641-2022, 2022
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This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anika Braun, Sophia Ulysse, Anne-Sophie Mreyen, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci., 22, 3361–3384, https://doi.org/10.5194/nhess-22-3361-2022, https://doi.org/10.5194/nhess-22-3361-2022, 2022
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We present a new landslide inventory for the 2021, M 7.2, Haiti, earthquake. We compare characteristics of this inventory with those of the 2010 seismically induced landslides, highlighting the much larger total area of 2021 landslides. This fact could be related to the larger earthquake magnitude in 2021, to the more central location of the fault segment ruptured in 2021 with respect to coastal zones, and/or to possible climatic preconditioning of slope failures in the 2021 affected area.
Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb
Nat. Hazards Earth Syst. Sci., 22, 3309–3327, https://doi.org/10.5194/nhess-22-3309-2022, https://doi.org/10.5194/nhess-22-3309-2022, 2022
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On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
Cited articles
Aaheim, A., Romstad, B., and Sælen, H.: Assessment of risks for
adaptation to climate change: the case of land-slides, Mitigation and
Adaptation Strategies for Global Change, 15, 763–778,
https://doi.org/10.1007/s11027-010-9234-1, 2010.
Aleotti, P.: A warning system for rainfall-induce shallow failures.
Engineering Geology, 73, 247–265, https://doi.org/10.1016/j.enggeo.2004.01.007, 2004.
Barfod, E., Müller, K., Saloranta, T., Andersen, J., Orthe, N.K.,
Wartianen, A., Humstad, T., Myrabø, S., and Engeset, R.: The expert tool
XGEO and its application in the Norwegian Avalanche Forecasting Service.
Proceeding International Snow Science Workshop Grenoble – Chamonix
Mont-Blanc – 2013, available at:
http://arc.lib.montana.edu/snow-science/objects/ISSW13_paper_P1-13.pdf (last access: 20 November 2017), 2013.
Baum, R. L. and Godt, J. W.: Early warning of rainfall-induced shallow
landslides and debris flows in the USA, Landslides, 7, 259–272,
https://doi.org/10.1007/s10346-009-0177-0, 2010.
Bazin, S.: Guidelines for landslide monitoring and early warning systems in
Europe, Design and required technology, Project SafeLand “Living With
Landslide Risk in Europe: Assessment, Effects of Global Change, and Risk
Management Strategies”, Deliverable 4.8, 153 pp., available at:
https://www.ngi.no/eng/Projects/SafeLand (last access: 20 November 2017), 2012.
Beldring, S., Engeland, K., Roald, L. A., Sælthun, N. R., and Voksø,
A.: Estimation of parameters in a distributed precipitation-runoff model for
Norway, Hydrol. Earth Syst. Sci., 7, 304–316,
https://doi.org/10.5194/hess-7-304-2003, 2003.
Bell, R., Cepeda, J., and Devoli, G.: Landslide susceptibility modeling at
catchment level for improvement of the landslide early warning system in
Norway, Proceeding 3rd World Landslide Forum, 2–6 June 2014, Beijing, 2014.
Bergström, S.: The HBV model, in: Computer models of Watershed Hydrology,
edited by: Singh, V. P., Water resources publications, Highlands Ranch,
443–476, 1995.
Blikra, L. H. and Kristensen, L.: Monitoring concepts and requirements for
large rockslide in Norway, Landslide Science and Practice: Early Warning,
Instrumentation and Monitoring, 2, 193–200,
https://doi.org/10.1007/978-3-642-31445-2_25, 2013.
Boje, S.: Hydrometeorologiske terskel for Jordskredfare på Sørlandet
og Østlandet, NVE report 64, available at:
http://publikasjoner.nve.no/rapport/2017/rapport2017_64.pdf (last
access: 20 November 2017), 2017 (in Norwegian).
Boje, S., Colleuille, H., Cepeda, J., and Devoli, G.: Landslide thresholds at
regional scale for the early warning system in Norway, Proceeding 3rd World
Landslide Forum, 2–6 June 2014, Beijing, 2014a.
Boje, S., Colleuille, H., and Devoli, G.: Terskelverdier for utløsning av
jordskred i Norge. Oppsummering av hydrometeorlogiske terskelstudier ved NVE
i perioden 2009 til 2013, NVE-NIFS report 43, available at:
http://publikasjoner.nve.no/rapport/2014/rapport2014_43.pdf (last
access: 20 November 2017), 2014b (in Norwegian).
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives on
precipitation intensity-duration thresholds for landslide initiation:
proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18,
31–39, https://doi.org/10.5194/nhess-18-31-2018, 2018.
Calvello, M.: Early warning strategies to cope with landslide risk, Riv.
Ital. di Geot., 2, 63–91, https://doi.org/10.19199/2017.2.0557-1405.063, 2017.
Calvello, M. and Piciullo, L.: Assessing the performance of regional
landslide early warning models: the EDuMaP method, Nat. Hazards Earth Syst.
Sci., 16, 103–122, https://doi.org/10.5194/nhess-16-103-2016, 2016.
Cannon, S. and Ellen, S.: Rainfall conditions for abundant debris avalanches,
San Francisco Bay region, California, California Geology, 38, 267–272, 1985.
Capra, L., Coviello, V., Borselli, L., Márquez-Ramírez, V.-H., and
Arámbula-Mendoza, R.: Hydrological control of large hurricane-induced
lahars: evidence from rainfall-runoff modeling, seismic and video monitoring,
Nat. Hazards Earth Syst. Sci., 18, 781–794,
https://doi.org/10.5194/nhess-18-781-2018, 2018.
Cepeda, J.: Calibration of thresholds for Northern Norway, NGI report
20120997-01-TN, 2013a.
Cepeda, J.: Calibration of thresholds for Eastern Norway, NGI report
20120997-02-TN, 2013b.
Cepeda, J., Sandersen, F., Ehlers, L., Bell, R., and De Luca, D.:
Probabilistic estimation of thresholds for rapid soil-slides and – flows in
Norway, NGI report no. 20110253-00-4-R, 2012.
Colleuille, H. and Engen, I. K.: Utredning om overvåking og varsling av
løsmasse- og snøskredfare på regionalt nivå, NVE report 16,
available at:
http://publikasjoner.nve.no/dokument/2009/dokument2009_16.pdf (last
accessed: 20 November 2017), 2009 (in Norwegian).
Colleuille, H., Beldring, S., Mengistu, Z., Wong, W. K., and Haugen, L. E.:
Groundwater and Soil water system for Norway based on daily simulations and
real-time observations, Proceeding AIH International Symposium, Aquifers
Systems Management, Dijon, France 30.05–1.06.2006, published in Aquifer
Systems Management Darcy's Legacy in a World of Impending Water, selected
Papers on hydrogeology, chap. 43, edited by: Chery, L. and de Marsily, G.,
2007.
Colleuille, H., Haugen, L. E., and Beldring, S.: A forecast analysis tool for
extreme hydrological conditions in Norway, Poster presented at the Sixth
World FRIEND conference, Marocco, 2010, Flow Regime and International
Experiment and Network Data, 2010.
Devoli, G. and Dahl, M. P.: Preliminary regionalization and susceptibility
analysis for landslide early warning purposes in Norway. NVE-NIFS report nr.
37, available at:
http://publikasjoner.nve.no/rapport/2014/rapport2014_37.pdf (last
access: 20 November 2017), 2014.
Devoli, G., Kleivane, I., Sund, M., Orthe, N. K., Ekker, R., Johnsen, E., and
Colleuille, H.: Landslide early warning system and web tools for real-time
scenarios and for distribution of warning messages in Norway, in : Proceeding
IAEG 2014, edited by: Lollino, G., Giordan, D., Crosta, G. B., Corominas, J.,
Azzam, R., Wasowski, J., and Sciarra, N., Engineering Geology for Society and
Territory – Volume 2, https://doi.org/10.1007/978-3-319-09057-3_104,
©Springer International Publishing Switzerland, 2014.
Devoli, G., Jorandli, L., Engeland, K., and Tallaksen, L. M.: Large-scale
synoptic weather types and precipitation responsible for landslides in
southern Norway, in: Proceeding 4th WLF 2017, edited by: Mikoš, M.,
Casagli, N., Yin, Y., and Sassa, K., Advancing Culture of Living with
Landslides, Springer, Cham 159–167
https://doi.org/10.1007/978-3-319-53485-5_17, 2017.
D'Orsi, R. N.: Landslide risk reduction measures by the Rio de Janeiro city
government. Improving the assessment of disaster risks to strengthen
financial resilience, Special Joint G20 Publication, Government of Mexico and
World Bank, 77–91, 2012.
Dowling, C. A. and Santi, P. M.: Debris flows and their toll on human life: a
global analysis of debris-flow fatalities from 1950 to 2011, Nat. Hazards,
71, 203–227, https://doi.org/10.1007/s11069-013-0907-4, 2014.
Ekker, R., Kværne, K., Os, A., Humstad, T., Wartiainen, A., Eide, V., and
Hansen, R. K.: regObs – public database for submitting and sharing
observations, Proceeding International Snow Science Workshop Grenoble –
Chamonix Mont-Blanc – 2013, 5 pp., available at:
http://arc.lib.montana.edu/snow-science/objects/ISSW13_paper_P5-42.pdf
(last access: 20 November 2017), 2013.
Engeset, R.: National Avalanche Warning Service for Norway – established
2013, Proceeding International Snow Science Workshop Grenoble – Chamonix
Mont-Blanc – 2013, 10 pp., available at:
http://arc.lib.montana.edu/snow-science/objects/ISSW13_paper_P1-19.pdf
(last access: 20 November 2017), 2013.
Engeset, R., Tveito, O. E., Mengistu, Z., Udnæs, H. C., Isaksen, K., and
Førland, E. J.: Snow map system for Norway. In: XXIII Nordic hydrological
conference, Tallin, NHP Report No48, Tartu, 2004.
Epinion Norge AS: Brukerundersøkelse for NVEs varslingstjenester,
Konsulentrapport, NVE report 47, available at:
http://publikasjoner.nve.no/rapport/2017/rapport2017_47.pdf (last
access: 20 November 2017), 2017 (in Norwegian).
Fischer, L., Rubensdotter, L., Sletten, K., Stalsberg, K., Melchiorre, C.,
Horton, P., and Jaboyedoff, M.: Debris flow modelling for susceptibility
mapping at regional to national scale, in: Landslides and Engineered Slopes,
edited by: Eberhardt, E., Froese, C., Turner, K., and Leroueil, S.,
Protecting Society through Improved Understanding, CRC Press, 723–729, 2012.
Fischer, L., Rubensdotter, L., and Stalsberg, K.: Aktsomhetskart jord- og
flomskred: Metodeutvikling og landsdekkende modellering, NGU report 2014.019,
available at:
http://www.ngu.no/upload/Publikasjoner/Rapporter/2014/2014_019.pdf
(last access: 20 November 2017), 2014 (in Norwegian).
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate, Earth-Sci.
Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011, 2016.
Gislefoss, K., Eriksen, B., Wiberg, S., Agersten, S., Førland, E. J., and
Thyness, V. W.: MET info Hendelserapport. Nedbørhendelsen i Agderfylkene
30 september–2 oktober 2017, Meteorologi no. 22/2017 (in Norwegian).
Golnaraghi, M.: Early warning systems, UNEP/GRID-Arendal Maps and Graphics
Library, available at:
https://gridarendal-website-live.s3.amazonaws.com/production/documents/:s_document/252/original/kobetimes.pdf?1488187778
(last access: 24 May 2018), 2005.
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C. P.: The rainfall
intensity–duration control of shallow landslides and debris flows: an
update, Landslides, 5, 3–17, https://doi.org/10.1007/s10346-007-0112-1,
2008.
Hanssen-Bauer, I., Førland, E. J., Haddeland, I., Hisdal, H., Mayer, S.,
Nesje, A., Nilsen, J. E.Ø., Sandven, S., Sandø, A. B., Sorteberg, A.,
and Ådlandsvik, B.: Climate in Norway 2100, a knowledge base for climate
adaptation, NCCS report, 1, available at:
http://www.miljodirektoratet.no/Documents/publikasjoner/M741/M741.pdf
(last access: 20 November 2017), 2017.
Haque, U., Blum, P., da Silva, P. F., Andersen, P., Pilz, J., Chalov, S. R.,
Malet, J. P., Auflič, M. J., Andres, N., Poyiadji, E., Lamas, P. C.,
Zhang, W., Peshevski, I., and Pétursson, H. G.: Fatal landslides in
Europe, Landslides, 13, 1545–1554,
https://doi.org/10.1007/s10346-016-0689-3, 2017.
Hestnes, E. A.: Contribution to the prediction of slush avalanches, Ann.
Glaciol., 6, 1–4, https://doi.org/10.3189/1985AoG6-1-1-4, 1985.
Hestnes, E. A.: Slushflow hazard – where, why and when? 25 years of
experience with slushflow consulting and research, Ann. Glaciol., 26,
370–376, https://doi.org/10.3189/1998AoG26-1-370-376, 1998.
Hisdal, H.: Evaluering av snø- og jordskredvarslingen, NVE report 38,
available at:
http://publikasjoner.nve.no/rapport/2017/rapport2017_38.pdf (last
access: 20 November 2017), 2017 (in Norwegian).
Holmqvist, E. and Langsholt, E.: Flommen på Sørlandet 30.9–3.10.2017
med oppsummering av flommen 22.–24.10.2017, NVE report 80, available at:
http://publikasjoner.nve.no/rapport/2017/rapport2017_80.pdf (last
access: 20 November 2017), 2017 (in Norwegian).
Hungr, O., Evans, S. G., Bovis, M. J., and Hutchinson, J. N.: A review of the
classification of landslides of the flow type, Envir. Eng. Geosci, 7, 1–18,
2001.
Hungr, O., Leroueil, S., and Picarelli, L.: The Varnes classification of
landslide types, an update, Landslides, 11, 167–194,
https://doi.org/10.1007/s10346-013-0436-y, 2014.
Jansson, P. E. and Karlberg, L.: Coupled heat and mass transfer model for
soil-plant atmosphere systems (COUP), Version 5. Royal Institute of
Technology, Stockholm, 2014.
Johnsen, E.: Modern forms of communicating Avalanche danger – a Norwegian
case. Proceeding at International Snow Science Workshop Grenoble – Chamonix
Mont-Blanc – 2013, 5 pp., available at:
http://arc.lib.montana.edu/snow-science/objects/ISSW13_paper_O5-20.pdf
(last access: 20 November 2017), 2013.
Kirschbaum, D. B., Stanley, T., and Simmons, J.: A dynamic landslide hazard
assessment system for Central America and Hispaniola, Nat. Hazards Earth
Syst. Sci., 15, 2257–2272, https://doi.org/10.5194/nhess-15-2257-2015, 2015.
Lussana, C., Saloranta, T., Skaugen, T., Magnusson, J., Tveito, O. E., and
Andersen, J.: seNorge2 daily precipitation, an observational gridded dataset
over Norway from 1957 to the present day, Earth Syst. Sci. Data, 10,
235–249, https://doi.org/10.5194/essd-10-235-2018, 2018.
Meld. St. 22 (2007–2008): Samfunnsikkerhet, samvirke og samordning,
available at:
https://www.regjeringen.no/contentassets/ff6481eba7bf495f8532c2eeb603c379/no/pdfs/stm200720080022000dddpdfs.pdf,
last access: 20 November 2017 (in Norwegian).
Meld. St. 15 (2011–2012): Hvordan leve med farene – om flom og skred,
available at:
https://www.regjeringen.no/contentassets/65e3e88d0be24461b40364dd61111f21/no/pdfs/stm201120120015000dddpdfs.pdf,
last access: 20 November 2017 (in Norwegian).
MET.: Extreme Weather Events in Europe: preparing for climate change
adaptation, MET report ISBN (electronic) 978-82-7144-101-2, available at:
http://www.easac.eu/fileadmin/PDF_s/reports_statements/Extreme_Weather/Extreme_Weather_full_version_EASAC-EWWG_final_low_resolution_Oct_2013f.pdf
(last access: 20 November 2017), 2013.
Müller, M.: AROME-MetCoOp: A Nordic Convective-Scale Operational Weather
Prediction Model, American Meteorological Society, 32, 609–627,
https://doi.org/10.1175/WAF-D-16-0099.1, 2017.
Nadim, F., Pedersen, S. A. S., Schmidt-Thomé, P., Sigmundsson, F., and
Engdahl, M.: Natural hazards in Nordic Countries, Episodes, Special Issue for
the 33rd Intern. Geol. Congress, Oslo, Norway, 176–184, 2008.
NIFS: NIFS final report 2012–2016, The Natural Hazards program, NIFS report
92, available at:
http://www.naturfare.no/_attachment/1659339/binary/1154523 (last
access: 22 May 2018), 2016.
NVE: Plan for skredfarekartlegging. Status og prioriteringer innen
oversiktskartlegging og detaljert skredfarekartlegging i NVEs regi. NVE
report, 14, available at:
http://publikasjoner.nve.no/rapport/2011/rapport2011_14.pdf (last
access: 20 November 2017), 2011 (in Norwegian).
NVE: Norwegian avalanche, flood and landslide hazard warnings, available at:
http://www.varsom.no/, last access: 24 May 2018a.
NVE: Warnings on flood, landslide and avalanche hazard, available at:
http://api.nve.no/, last access: 24 May 2018b.
NVE: Landslide data, available at:
https://gis3.nve.no/map/rest/services/SkredHendelser/MapServer or
https://temakart.nve.no/link/?link=SkredHendelser, last access: 24 May
2018c.
Piciullo, L., Dahl, M.-P., Devoli, G., Colleuille, H., and Calvello, M.:
Adapting the EDuMaP method to test the performance of the Norwegian early
warning system for weather-induced landslides, Nat. Hazards Earth Syst. Sci.,
17, 817–831, https://doi.org/10.5194/nhess-17-817-2017, 2017.
Piciullo, L., Calvello, M., and Cepeda, J. M.: Territorial early warning
systems for rainfall-induced landslides, Earth-Sci. Rev., 179, 228–247,
https://doi.org/10.1016/j.earscirev.2018.02.013, 2018.
Roald, L.: Flom i Norge, Eds Tom & Tom, 2013 (in Norwegian).
Saloranta, T. M.: Operational snow mapping with simplified data assimilation
using the seNorge snow model, J. Hydrol., 538, 314–325, 2016.
Segoni, S., Piciullo, L., and Gariano, S. L., A review of the recent
literature on rainfall thresholds for landslide occurrence, Landslide,
https://doi.org/10.1007/s10346-018-0966-4, online first, 2018a.
Segoni, S., Rosi, A., Lagomarsino, D., Fanti, R., and Casagli, N.: Brief
communication: Using averaged soil moisture estimates to improve the
performances of a regional-scale landslide early warning system, Nat. Hazards
Earth Syst. Sci., 18, 807–812, https://doi.org/10.5194/nhess-18-807-2018,
2018b.
Solli, A. and Nordgulen, Ø.: Bedrock map of Norway and the Caledonides in
Sweden and Finland. Scale 1 : 2 000 000, Geological Survey of Norway,
Trondheim, 2006.
Stähli, M., Sättele, M., Huggel, C., McArdell, B. W., Lehmann, P., Van
Herwijnen, A., Berne, A., Schleiss, M., Ferrari, A., Kos, A., Or, D., and
Springman, S. M.: Monitoring and prediction in early warning systems for
rapid mass movements, Nat. Hazards Earth Syst. Sci., 15, 905–917,
https://doi.org/10.5194/nhess-15-905-2015, 2015.
UN/ISDR: Developing Early Warning Systems: a checklist, EWC III 3rd
international Conference on Early warning, From Concept to action, UN/ISDR,
available at:
http://www.unisdr.org/2006/ppew/info-resources/ewc3/checklist/English.pdf
(last access: 20 November 2017), 2006.
UN/ISDR: ISDR: Terminology, available at:
http://www.unisdr.org/we/inform/terminology (last access: 20 November
2017), 2009.
Washburn, A. L. and Goldthwait, R. P.: Slushflows, Geol. Soc Am.
Bull., 69, 1657–1658, 1958.
Short summary
Norway has, since 2013, an operative nation-wide landslide forecasting and early warning system for shallow landslides. The early warning system uses thresholds for soil moisture and water supply from rain and snowmelt to issue warnings to the public and relevant authorities when the risk for landslide hazard is present. The warnings are regional and are issued at www.varsom.no. Colours are used to symbolize the hazard level.
Norway has, since 2013, an operative nation-wide landslide forecasting and early warning system...
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