Articles | Volume 15, issue 1
https://doi.org/10.5194/nhess-15-119-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-119-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Jan 2015
Research article |
| 15 Jan 2015
Evaluating snow weak-layer failure parameters through inverse finite element modelling of shaking-platform experiments
E. A. Podolskiy
CORRESPONDING AUTHOR
IRSTEA (UR ETGR) – Centre de Grenoble, 2 rue de la Papeterie, BP 76, 38402 St.-Martin-d'Hères CEDEX, France
G. Chambon
IRSTEA (UR ETGR) – Centre de Grenoble, 2 rue de la Papeterie, BP 76, 38402 St.-Martin-d'Hères CEDEX, France
M. Naaim
IRSTEA (UR ETGR) – Centre de Grenoble, 2 rue de la Papeterie, BP 76, 38402 St.-Martin-d'Hères CEDEX, France
J. Gaume
WSL/SLF, Swiss Federal Institute of Snow and Avalanche Research, 7260 Davos Dorf, Switzerland
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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.
Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie
Nat. Hazards Earth Syst. Sci., 24, 999–1016, https://doi.org/10.5194/nhess-24-999-2024, https://doi.org/10.5194/nhess-24-999-2024, 2024
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This work presents a drought index specifically adapted to subsidence, a seasonal phenomenon of soil shrinkage that occurs frequently in France and damages buildings. The index is computed from land surface model simulations and evaluated by a rank correlation test with insurance data. With its optimal configuration, the index is able to identify years of both zero and significant loss.
John Sykes, Håvard Toft, Pascal Haegeli, and Grant Statham
Nat. Hazards Earth Syst. Sci., 24, 947–971, https://doi.org/10.5194/nhess-24-947-2024, https://doi.org/10.5194/nhess-24-947-2024, 2024
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The research validates and optimizes an automated approach for creating classified snow avalanche terrain maps using open-source geospatial modeling tools. Validation is based on avalanche-expert-based maps for two study areas. Our results show that automated maps have an overall accuracy equivalent to the average accuracy of three human maps. Automated mapping requires a fraction of the time and cost of traditional methods and opens the door for large-scale mapping of mountainous terrain.
Conor Hackett, Rafael de Andrade Moral, Gourav Mishra, Tim McCarthy, and Charles Markham
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-27, https://doi.org/10.5194/nhess-2024-27, 2024
Revised manuscript under review for NHESS
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This paper reviews existing wildfire propagation models and a comparison of different grid types including random grids to simulate wildfires. This paper finds that irregular grids simulate wildfires more efficiently than continuous models while still retaining a reasonable level of similarity. It also shows that irregular grids tend to retain greater similarity to continuous models than regular grids at the cost of slightly longer computational times.
Jonas Mortelmans, Anne Felsberg, Gabriëlle J. M. De Lannoy, Sander Veraverbeke, Robert D. Field, Niels Andela, and Michel Bechtold
Nat. Hazards Earth Syst. Sci., 24, 445–464, https://doi.org/10.5194/nhess-24-445-2024, https://doi.org/10.5194/nhess-24-445-2024, 2024
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With global warming increasing the frequency and intensity of wildfires in the boreal region, accurate risk assessments are becoming more crucial than ever before. The Canadian Fire Weather Index (FWI) is a renowned system, yet its effectiveness in peatlands, where hydrology plays a key role, is limited. By incorporating groundwater data from numerical models and satellite observations, our modified FWI improves the accuracy of fire danger predictions, especially over summer.
Timothy W. Juliano, Fernando Szasdi-Bardales, Neil P. Lareau, Kasra Shamsaei, Branko Kosović, Negar Elhami-Khorasani, Eric P. James, and Hamed Ebrahimian
Nat. Hazards Earth Syst. Sci., 24, 47–52, https://doi.org/10.5194/nhess-24-47-2024, https://doi.org/10.5194/nhess-24-47-2024, 2024
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Following the destructive Lahaina Fire in Hawaii, our team has modeled the wind and fire spread processes to understand the drivers of this devastating event. The simulation results show that extreme winds with high variability, a fire ignition close to the community, and construction characteristics led to continued fire spread in multiple directions. Our results suggest that available modeling capabilities can provide vital information to guide decision-making during wildfire events.
Stephanie Mayer, Frank Techel, Jürg Schweizer, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 23, 3445–3465, https://doi.org/10.5194/nhess-23-3445-2023, https://doi.org/10.5194/nhess-23-3445-2023, 2023
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We present statistical models to estimate the probability for natural dry-snow avalanche release and avalanche size based on the simulated layering of the snowpack. The benefit of these models is demonstrated in comparison with benchmark models based on the amount of new snow. From the validation with data sets of quality-controlled avalanche observations and danger levels, we conclude that these models may be valuable tools to support forecasting natural dry-snow avalanche activity.
Wei Yang, Zhongyan Wang, Baosheng An, Yingying Chen, Chuanxi Zhao, Chenhui Li, Yongjie Wang, Weicai Wang, Jiule Li, Guangjian Wu, Lin Bai, Fan Zhang, and Tandong Yao
Nat. Hazards Earth Syst. Sci., 23, 3015–3029, https://doi.org/10.5194/nhess-23-3015-2023, https://doi.org/10.5194/nhess-23-3015-2023, 2023
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We present the structure and performance of the early warning system (EWS) for glacier collapse and river blockages in the southeastern Tibetan Plateau. The EWS warned of three collapse–river blockage chain events and seven small-scale events. The volume and location of the collapses and the percentage of ice content influenced the velocities of debris flows. Such a study is helpful for understanding the mechanism of glacier hazards and for establishing similar EWSs in other high-risk regions.
Alba Marquez Torres, Giovanni Signorello, Sudeshna Kumar, Greta Adamo, Ferdinando Villa, and Stefano Balbi
Nat. Hazards Earth Syst. Sci., 23, 2937–2959, https://doi.org/10.5194/nhess-23-2937-2023, https://doi.org/10.5194/nhess-23-2937-2023, 2023
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Only by mapping fire risks can we manage forest and prevent fires under current and future climate conditions. We present a fire risk map based on k.LAB, artificial-intelligence-powered and open-source software integrating multidisciplinary knowledge in near real time. Through an easy-to-use web application, we model the hazard with 84 % accuracy for Sicily, a representative Mediterranean region. Fire risk analysis reveals 45 % of vulnerable areas face a high probability of danger in 2050.
Elisabeth D. Hafner, Frank Techel, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 23, 2895–2914, https://doi.org/10.5194/nhess-23-2895-2023, https://doi.org/10.5194/nhess-23-2895-2023, 2023
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Oftentimes when objective measurements are not possible, human estimates are used instead. In our study, we investigate the reproducibility of human judgement for size estimates, the mappings of avalanches from oblique photographs and remotely sensed imagery. The variability that we found in those estimates is worth considering as it may influence results and should be kept in mind for several applications.
Gerardo Romano, Marco Antonellini, Domenico Patella, Agata Siniscalchi, Andrea Tallarico, Simona Tripaldi, and Antonello Piombo
Nat. Hazards Earth Syst. Sci., 23, 2719–2735, https://doi.org/10.5194/nhess-23-2719-2023, https://doi.org/10.5194/nhess-23-2719-2023, 2023
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The Nirano Salse (northern Apennines, Italy) is characterized by several active mud vents and hosts thousands of visitors every year. New resistivity models describe the area down to 250 m, improving our geostructural knowledge of the area and giving useful indications for a better understanding of mud volcano dynamics and for the better planning of safer tourist access to the area.
Harry Podschwit, William Jolly, Ernesto Alvarado, Andrea Markos, Satyam Verma, Sebastian Barreto-Rivera, Catherine Tobón-Cruz, and Blanca Ponce-Vigo
Nat. Hazards Earth Syst. Sci., 23, 2607–2624, https://doi.org/10.5194/nhess-23-2607-2023, https://doi.org/10.5194/nhess-23-2607-2023, 2023
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We developed a model of fire spread that assumes that fire spreads in all directions at a constant speed and is extinguished at a constant rate. The model was fitted to 1003 fires in Peru between 2001 and 2020 using satellite burned area data from the GlobFire project. We fitted statistical models that predicted the spread and extinguish rates based on weather and land cover variables and found that these variables were good predictors of the spread and extinguish rates.
Anushilan Acharya, Jakob F. Steiner, Khwaja Momin Walizada, Salar Ali, Zakir Hussain Zakir, Arnaud Caiserman, and Teiji Watanabe
Nat. Hazards Earth Syst. Sci., 23, 2569–2592, https://doi.org/10.5194/nhess-23-2569-2023, https://doi.org/10.5194/nhess-23-2569-2023, 2023
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All accessible snow and ice avalanches together with previous scientific research, local knowledge, and existing or previously active adaptation and mitigation solutions were investigated in the high mountain Asia (HMA) region to have a detailed overview of the state of knowledge and identify gaps. A comprehensive avalanche database from 1972–2022 is generated, including 681 individual events. The database provides a basis for the forecasting of avalanche hazards in different parts of HMA.
Caili Zhong, Sibo Cheng, Matthew Kasoar, and Rossella Arcucci
Nat. Hazards Earth Syst. Sci., 23, 1755–1768, https://doi.org/10.5194/nhess-23-1755-2023, https://doi.org/10.5194/nhess-23-1755-2023, 2023
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This paper introduces a digital twin fire model using machine learning techniques to improve the efficiency of global wildfire predictions. The proposed model also manages to efficiently adjust the prediction results thanks to data assimilation techniques. The proposed digital twin runs 500 times faster than the current state-of-the-art physics-based model.
Abby Morgan, Pascal Haegeli, Henry Finn, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 23, 1719–1742, https://doi.org/10.5194/nhess-23-1719-2023, https://doi.org/10.5194/nhess-23-1719-2023, 2023
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The avalanche danger scale is a critical component for communicating the severity of avalanche hazard conditions to the public. We examine how backcountry recreationists in North America understand and use the danger scale for planning trips into the backcountry. Our results provide an important user perspective on the strengths and weaknesses of the existing scale and highlight opportunities for future improvements.
Adrián Cardíl, Victor M. Tapia, Santiago Monedero, Tomás Quiñones, Kerryn Little, Cathelijne R. Stoof, Joaquín Ramirez, and Sergio de-Miguel
Nat. Hazards Earth Syst. Sci., 23, 361–373, https://doi.org/10.5194/nhess-23-361-2023, https://doi.org/10.5194/nhess-23-361-2023, 2023
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This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a projected increase in wildfire risk. We propose a new method to identify wildfire rate of spread from satellites because it is important to know periods of elevated fire risk for suppression methods and land management. Results indicate that there is a peak in the area burned and rate of spread in the months of March and April, and there are significant differences for forest-type land covers.
Liam S. Taylor, Duncan J. Quincey, and Mark W. Smith
Nat. Hazards Earth Syst. Sci., 23, 329–341, https://doi.org/10.5194/nhess-23-329-2023, https://doi.org/10.5194/nhess-23-329-2023, 2023
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Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to communities living beneath them. We have developed a new camera system which can capture regular, high-quality 3D models to monitor small changes in glaciers which could be indicative of a future hazard. This system is far cheaper than more typical camera sensors yet produces very similar quality data. We suggest that deploying these cameras near glaciers could assist in warning communities of hazards.
Bastian Bergfeld, Alec van Herwijnen, Grégoire Bobillier, Philipp L. Rosendahl, Philipp Weißgraeber, Valentin Adam, Jürg Dual, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 23, 293–315, https://doi.org/10.5194/nhess-23-293-2023, https://doi.org/10.5194/nhess-23-293-2023, 2023
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For a slab avalanche to release, the snowpack must facilitate crack propagation over large distances. Field measurements on crack propagation at this scale are very scarce. We performed a series of experiments, up to 10 m long, over a period of 10 weeks. Beside the temporal evolution of the mechanical properties of the snowpack, we found that crack speeds were highest for tests resulting in full propagation. Based on these findings, an index for self-sustained crack propagation is proposed.
Sigrid Jørgensen Bakke, Niko Wanders, Karin van der Wiel, and Lena Merete Tallaksen
Nat. Hazards Earth Syst. Sci., 23, 65–89, https://doi.org/10.5194/nhess-23-65-2023, https://doi.org/10.5194/nhess-23-65-2023, 2023
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In this study, we developed a machine learning model to identify dominant controls of wildfire in Fennoscandia and produce monthly fire danger probability maps. The dominant control was shallow-soil water anomaly, followed by air temperature and deep soil water. The model proved skilful with a similar performance as the existing Canadian Forest Fire Weather Index (FWI). We highlight the benefit of using data-driven models jointly with other fire models to improve fire monitoring and prediction.
Yi Victor Wang and Antonia Sebastian
Nat. Hazards Earth Syst. Sci., 22, 4103–4118, https://doi.org/10.5194/nhess-22-4103-2022, https://doi.org/10.5194/nhess-22-4103-2022, 2022
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In this article, we propose an equivalent hazard magnitude scale and a method to evaluate and compare the strengths of natural hazard events across different hazard types, including earthquakes, tsunamis, floods, droughts, forest fires, tornadoes, cold waves, heat waves, and tropical cyclones. With our method, we determine that both the February 2021 North American cold wave event and Hurricane Harvey in 2017 were equivalent to a magnitude 7.5 earthquake in hazard strength.
Michael A. Storey and Owen F. Price
Nat. Hazards Earth Syst. Sci., 22, 4039–4062, https://doi.org/10.5194/nhess-22-4039-2022, https://doi.org/10.5194/nhess-22-4039-2022, 2022
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Models are needed to understand and predict pollutant output from forest fires so fire agencies can reduce smoke-related risks to human health. We modelled air quality (PM2.5) based on fire area and weather variables. We found fire area and boundary layer height were influential on predictions, with distance, temperature, wind speed and relative humidity also important. The models predicted reasonably accurately in comparison to other existing methods but would benefit from further development.
Tomás Calheiros, Akli Benali, Mário Pereira, João Silva, and João Nunes
Nat. Hazards Earth Syst. Sci., 22, 4019–4037, https://doi.org/10.5194/nhess-22-4019-2022, https://doi.org/10.5194/nhess-22-4019-2022, 2022
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Fire weather indices are used to assess the effect of weather on wildfires. Fire weather risk was computed and combined with large wildfires in Portugal. Results revealed the influence of vegetation cover: municipalities with a prevalence of shrublands, located in eastern parts, burnt under less extreme conditions than those with higher forested areas, situated in coastal regions. These findings are a novelty for fire science in Portugal and should be considered for fire management.
Ana C. L. Sá, Bruno Aparicio, Akli Benali, Chiara Bruni, Michele Salis, Fábio Silva, Martinho Marta-Almeida, Susana Pereira, Alfredo Rocha, and José Pereira
Nat. Hazards Earth Syst. Sci., 22, 3917–3938, https://doi.org/10.5194/nhess-22-3917-2022, https://doi.org/10.5194/nhess-22-3917-2022, 2022
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Assessing landscape wildfire connectivity supported by wildfire spread simulations can improve fire hazard assessment and fuel management plans. Weather severity determines the degree of fuel patch connectivity and thus the potential to spread large and intense wildfires. Mapping highly connected patches in the landscape highlights patch candidates for prior fuel treatments, which ultimately will contribute to creating fire-resilient Mediterranean landscapes.
Simon K. Allen, Ashim Sattar, Owen King, Guoqing Zhang, Atanu Bhattacharya, Tandong Yao, and Tobias Bolch
Nat. Hazards Earth Syst. Sci., 22, 3765–3785, https://doi.org/10.5194/nhess-22-3765-2022, https://doi.org/10.5194/nhess-22-3765-2022, 2022
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This study demonstrates how the threat of a very large outburst from a future lake can be feasibly assessed alongside that from current lakes to inform disaster risk management within a transboundary basin between Tibet and Nepal. Results show that engineering measures and early warning systems would need to be coupled with effective land use zoning and programmes to strengthen local response capacities in order to effectively reduce the risk associated with current and future outburst events.
Markéta Součková, Roman Juras, Kryštof Dytrt, Vojtěch Moravec, Johanna Ruth Blöcher, and Martin Hanel
Nat. Hazards Earth Syst. Sci., 22, 3501–3525, https://doi.org/10.5194/nhess-22-3501-2022, https://doi.org/10.5194/nhess-22-3501-2022, 2022
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Avalanches are natural hazards that threaten people and infrastructure. With climate change, avalanche activity is changing. We analysed the change in frequency and size of avalanches in the Krkonoše Mountains, Czechia, and detected important variables with machine learning tools from 1979–2020. Wet avalanches in February and March have increased, and slab avalanches have decreased and become smaller. The identified variables and their threshold levels may help in avalanche decision-making.
Annalie Dorph, Erica Marshall, Kate A. Parkins, and Trent D. Penman
Nat. Hazards Earth Syst. Sci., 22, 3487–3499, https://doi.org/10.5194/nhess-22-3487-2022, https://doi.org/10.5194/nhess-22-3487-2022, 2022
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Wildfire spatial patterns are determined by fire ignition sources and vegetation fuel moisture. Fire ignitions can be mediated by humans (owing to proximity to human infrastructure) or caused by lightning (owing to fuel moisture, average annual rainfall and local weather). When moisture in dead vegetation is below 20 % the probability of a wildfire increases. The results of this research enable accurate spatial mapping of ignition probability to aid fire suppression efforts and future research.
John Sykes, Pascal Haegeli, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 3247–3270, https://doi.org/10.5194/nhess-22-3247-2022, https://doi.org/10.5194/nhess-22-3247-2022, 2022
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Automated snow avalanche terrain mapping provides an efficient method for large-scale assessment of avalanche hazards, which informs risk management decisions for transportation and recreation. This research reduces the cost of developing avalanche terrain maps by using satellite imagery and open-source software as well as improving performance in forested terrain. The research relies on local expertise to evaluate accuracy, so the methods are broadly applicable in mountainous regions worldwide.
Ivana Čavlina Tomašević, Kevin K. W. Cheung, Višnjica Vučetić, Paul Fox-Hughes, Kristian Horvath, Maja Telišman Prtenjak, Paul J. Beggs, Barbara Malečić, and Velimir Milić
Nat. Hazards Earth Syst. Sci., 22, 3143–3165, https://doi.org/10.5194/nhess-22-3143-2022, https://doi.org/10.5194/nhess-22-3143-2022, 2022
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One of the most severe and impactful urban wildfire events in Croatian history has been reconstructed and analyzed. The study identified some important meteorological influences related to the event: the synoptic conditions of the Azores anticyclone, cold front, and upper-level shortwave trough all led to the highest fire weather index in 2017. A low-level jet, locally known as bura wind that can be explained by hydraulic jump theory, was the dynamic trigger of the event.
Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
Nat. Hazards Earth Syst. Sci., 22, 3041–3061, https://doi.org/10.5194/nhess-22-3041-2022, https://doi.org/10.5194/nhess-22-3041-2022, 2022
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Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
Fátima Arrogante-Funes, Inmaculada Aguado, and Emilio Chuvieco
Nat. Hazards Earth Syst. Sci., 22, 2981–3003, https://doi.org/10.5194/nhess-22-2981-2022, https://doi.org/10.5194/nhess-22-2981-2022, 2022
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We show that ecological value might be reduced by 50 % due to fire perturbation in ecosystems that have not developed in the presence of fire and/or that present changes in the fire regime. The biomes most affected are tropical and subtropical forests, tundra, and mangroves. Integration of biotic and abiotic fire regime and regeneration factors resulted in a powerful way to map ecological vulnerability to fire and develop assessments to generate adaptation plans of management in forest masses.
Aubrey Miller, Pascal Sirguey, Simon Morris, Perry Bartelt, Nicolas Cullen, Todd Redpath, Kevin Thompson, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 2673–2701, https://doi.org/10.5194/nhess-22-2673-2022, https://doi.org/10.5194/nhess-22-2673-2022, 2022
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Natural hazard modelers simulate mass movements to better anticipate the risk to people and infrastructure. These simulations require accurate digital elevation models. We test the sensitivity of a well-established snow avalanche model (RAMMS) to the source and spatial resolution of the elevation model. We find key differences in the digital representation of terrain greatly affect the simulated avalanche results, with implications for hazard planning.
Kathryn C. Fisher, Pascal Haegeli, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 22, 1973–2000, https://doi.org/10.5194/nhess-22-1973-2022, https://doi.org/10.5194/nhess-22-1973-2022, 2022
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Avalanche bulletins include travel and terrain statements to provide recreationists with tangible guidance about how to apply the hazard information. We examined which bulletin users pay attention to these statements, what determines their usefulness, and how they could be improved. Our study shows that reducing jargon and adding simple explanations can significantly improve the usefulness of the statements for users with lower levels of avalanche awareness education who depend on this advice.
Cristina Pérez-Guillén, Frank Techel, Martin Hendrick, Michele Volpi, Alec van Herwijnen, Tasko Olevski, Guillaume Obozinski, Fernando Pérez-Cruz, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 22, 2031–2056, https://doi.org/10.5194/nhess-22-2031-2022, https://doi.org/10.5194/nhess-22-2031-2022, 2022
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A fully data-driven approach to predicting the danger level for dry-snow avalanche conditions in Switzerland was developed. Two classifiers were trained using a large database of meteorological data, snow cover simulations, and danger levels. The models performed well throughout the Swiss Alps, reaching a performance similar to the current experience-based avalanche forecasts. This approach shows the potential to be a valuable supplementary decision support tool for assessing avalanche hazard.
Frank Techel, Stephanie Mayer, Cristina Pérez-Guillén, Günter Schmudlach, and Kurt Winkler
Nat. Hazards Earth Syst. Sci., 22, 1911–1930, https://doi.org/10.5194/nhess-22-1911-2022, https://doi.org/10.5194/nhess-22-1911-2022, 2022
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Can the resolution of forecasts of avalanche danger be increased by using a combination of absolute and comparative judgments? Using 5 years of Swiss avalanche forecasts, we show that, on average, sub-levels assigned to a danger level reflect the expected increase in the number of locations with poor snow stability and in the number and size of avalanches with increasing forecast sub-level.
Yves Bühler, Peter Bebi, Marc Christen, Stefan Margreth, Lukas Stoffel, Andreas Stoffel, Christoph Marty, Gregor Schmucki, Andrin Caviezel, Roderick Kühne, Stephan Wohlwend, and Perry Bartelt
Nat. Hazards Earth Syst. Sci., 22, 1825–1843, https://doi.org/10.5194/nhess-22-1825-2022, https://doi.org/10.5194/nhess-22-1825-2022, 2022
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To calculate and visualize the potential avalanche hazard, we develop a method that automatically and efficiently pinpoints avalanche starting zones and simulate their runout for the entire canton of Grisons. The maps produced in this way highlight areas that could be endangered by avalanches and are extremely useful in multiple applications for the cantonal authorities, including the planning of new infrastructure, making alpine regions more safe.
Tero M. Partanen and Mikhail Sofiev
Nat. Hazards Earth Syst. Sci., 22, 1335–1346, https://doi.org/10.5194/nhess-22-1335-2022, https://doi.org/10.5194/nhess-22-1335-2022, 2022
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The presented method aims to forecast regional wildfire-emitted radiative power in a time-dependent manner several days in advance. The temporal fire radiative power can be converted to an emission production rate, which can be implemented in air quality forecasting simulations. It is shown that in areas with a high incidence of wildfires, the fire radiative power is quite predictable, but otherwise it is not.
Christos Bountzouklis, Dennis M. Fox, and Elena Di Bernardino
Nat. Hazards Earth Syst. Sci., 22, 1181–1200, https://doi.org/10.5194/nhess-22-1181-2022, https://doi.org/10.5194/nhess-22-1181-2022, 2022
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The study addresses the evolution of burned areas in southeastern France from 1970 to 2019 through the scope of a firefighting policy shift in 1994 that resulted in a significant decrease in the burned area. Regions with large fires were particularly impacted, whereas, in other areas, the fires remained frequent and occurred closer to built-up zones. Environmental characteristics such as south-facing slopes and low vegetation (bushes) are increasingly associated with burned areas.
Cited articles
Abe, O. and Nakamura, T.: A new method of measurements of the shear strength of snow, horizontal vibration method, Snow Life Tohoku, 15, 13–14, 2000.
Abe, O. and Nakamura, T.: Shear fracture strength of snow measured by the horizontal vibration method, J. Snow Eng., 21, 11–12, 2005.
Bader, H. and Salm, B.: On the mechanics of snow slab release, Cold Reg. Sci. Technol., 17, 287–300, 1990.
Baroudi, D., Sovilla, B., and Thibert, E.: Effects of flow regime and sensor geometry on snow avalanche impact-pressure measurements, J. Glaciol., 57, 277–288, https://doi.org/10.3189/002214311796405988, 2011.
Bazant, Z. P., Zi, G., and McClung, D.: Size effect law and fracture mechanics of the triggering of dry snow slab avalanches, J. Geophys. Res., 108, 2119, https://doi.org/10.1029/2002JB001884, 2003.
Borstad, C. P. and McClung, D.: Numerical modeling of tensile fracture initiation and propagation in snow slabs using nonlocal damage mechanics, Cold Reg. Sci. Technol., 69, 145–155, https://doi.org/10.1016/j.coldregions.2011.09.010, 2011.
Chiaia, B., Cornetti, P., and Frigo, B.: Triggering of dry snow slab avalanches: stress vs. fracture mechanical approach, Cold Reg. Sci. Technol., 53, 170–178, https://doi.org/10.1016/j.coldregions.2007.08.003, 2008.
Chiaia, B. and Frigo, B.: A scale-invariant model for snow slab avalanches, J. Stat. Mech., P02056, https://doi.org/10.1088/1742-5468/2009/02/P02056, 2009.
Curtis, J. O. and Smith, F. W.: Material property and boundary condition effects on stresses in avalanche snow-packs, J. Glaciol., 13, 99–108, 1974.
DeMontmollin, V.: Introduction a la rheologie de la neige, PhD thesis, Universite Scientifique et Medicale de Grenoble, France, 1978.
DeMontmollin, V.: Shear tests on snow explained by fast metamorphism, J. Glaciol., 28, 187–198, 1982.
Fierz, C., Armstrong, R. L., Durand, Y., Etchevers, P., Greene, E., McClung, D. M., Nishimura, K., Satayawali, P. K., and Sokratov, S. A.: The international classification for seasonal snow on the ground, IHP-VII Technical Documents in Hydrology #83, IACS Contribution #1, Tech. rep., UNESCO – International Hydrological Programme, Paris, 2009.
Föhn, P., Camponovo, C., and Krüsi, G.: Mechanical and structural properties of weak snow layers measured in situ, Ann. Glaciol., 26, 1–6, 1998.
Fyffe, B. and Zaiser, M.: The effects of snow variability on slab avalanche release, Cold Reg. Sci. Technol., 40, 229–242, https://doi.org/10.1016/j.coldregions.2004.08.004, 2004.
Gaume, J.: Evaluation of avalanche release depths. Combined statistical – mechanical modeling, Ph D thesis, IRSTEA/Universite de Grenoble, St.-Martin-d'Hères, France, 2012.
Gaume, J., Chambon, G., Naaim, M., and Eckert, N.: Influence of Weak Layer Heterogeneity on Slab Avalanche Release Using a Finite Element Method, in: Advances in Bifurcation and Degradation in Geomaterials, edited by: Bonelli, S., Dascalu, C., and Nicot, F., vol. 11 of Springer Series in Geomechanics and Geoengineering, Springer Netherlands, 261–266, https://doi.org/10.1007/978-94-007-1421-2_34, 2011.
Gaume, J., Chambon, G., Eckert, N., and Naaim, M.: Relative influence of mechanical and meteorological factors on avalanche release depth distributions: an application to French Alps, Geophys. Res. Lett., 39, L12401, https://doi.org/10.1029/2012GL051917, 2012.
Gaume, J., Chambon, G., Eckert, N., and Naaim, M.: Influence of weak-layer heterogeneity on snow slab avalanche release: application to the evaluation of avalanche release depths, J. Glaciol., 59, 423–437, https://doi.org/10.3189/2013JoG12J161, 2013.
Habermann, M., Schweizer, J., and Jamieson, J. B.: Influence of snowpack layering on human-triggered snow slab avalanche release, Cold Reg. Sci. Technol., 54, 176–182, https://doi.org/10.1016/j.coldregions.2008.05.003, 2008.
Haefeli, R.: Stress transformations, tensile strengths, and rupture processes of the snow cover, in: Ice and Snow: Properties, Processes, and Applications, edited by: Kingery, W., M.I.T. Press, Cambridge, Mass., 560–575, 1963.
Heierli, J., Gumbsch, P., and Zaiser, M.: Anticrack nucleation as triggering mechanism for snow slab avalanches, Science, 321, 240–243, https://doi.org/10.1126/science.1153948, 2008.
Jamieson, B. and Johnston, C. D.: Evaluation of the shear frame test for weak snowpack layers, Ann. Glaciol., 32, 59–69, https://doi.org/10.3189/172756401781819472, 2001.
Jamieson, B., Geldsetzer, T., and Stethem, C.: Forecasting for deep slab avalanches, Cold Reg. Sci. Technol., 33, 275–290, https://doi.org/10.1016/S0165-232X(01)00056-8, 2001.
Jamieson, J. B. and Johnston, C. D.: Refinements to the stability index for skier-triggered dry-slab avalanches, Ann. Glaciol., 26, 296–302, 1998.
Jamieson, J. B. and Schweizer, J.: Texture and strength changes of buried surface-hoar layers with implications for dry snow-slab avalanche release, J. Glaciol., 46, 151–160, https://doi.org/10.3189/172756500781833278, 2000.
Jones, A., Jamieson, J., and Schweizer, J.: The effect of slab and bed surface stiffness on the skier-induced shear stress in weak snowpack layers, Proceedings of International Snow Science Workshop (ISSW-2006), Telluride, CO, USA, 157–164, 2006.
Keeler, C. M. and Weeks, W. F.: Investigations into the mechanical properties of alpine snow-packs, J. Glaciol., 7, 253–271, 1968.
Laborderie, C. and Jeanvoine, E.: Beginning with Castem 2000, Tech. Rep. DMT/94-356, CEA, Saclay, France, 1994.
Lang, T. and Sommerfeld, R.: The modeling and measurement of the deformation of a sloping snow-pack, J. Glaciol., 19, 153–163, 1977.
Louge, M. Y., Carroll, C. S., and Turnbull, B.: Role of pore pressure gradients in sustaining frontal particle entrainment in eruption currents: The case of powder snow avalanches, J. Geophys. Res., 116, F04030, https://doi.org/10.1029/2011JF002065, 2011.
Mahajan, P. and Joshi, S.: Modeling of interfacial crack velocities in snow, Cold Reg. Sci. Technol., 51, 98–111, https://doi.org/10.1016/j.coldregions.2007.05.008, 2008.
Mahajan, P. and Senthil, S.: Cohesive element modeling of crack growth in a layered snowpack, Cold Reg. Sci. Technol., 40, 111–122, https://doi.org/10.1016/j.coldregions.2004.06.006, 2004.
Mahajan, P., Kalakuntla, R., and Chandel, C.: Numerical simulation of failure in a layered thin snowpack under skier load, Ann. Glaciol., 51, 169–175, https://doi.org/10.3189/172756410791386436, 2010.
Matsushita, H., Matsuzawa, M., and Abe, O.: The influences of temperature and normal load on the shear strength of snow consisting of precipitation particles, Ann. Glaciol., 53, 31–38, https://doi.org/10.3189/2012AoG61A022, 2012.
Matsushita, H., Ikeda, S., Ito, Y., Matsuzawa, M., and Nakamura, H.: Avalanches induced by earthquake in North Tochigi prefecture on 25 February 2013, in: Proceedings of International Snow Science Workshop, ISSW'13, Grenoble-Chamonix, France, 1122–1129, 2013.
McClung, D. M.: Direct simple shear tests on snow and their relation to slab avalanche formation, J. Glaciol., 19, 101–109, 1977.
McClung, D. M.: Shear fracture precipitated by strain softening as a mechanism of dry slab avalanche release, J. Geophys. Res., 84, 3519–3526, https://doi.org/10.1029/JB084iB07p03519, 1979.
McClung, D. M.: The critical size of macroscopic imperfections in dry snow slab avalanche initiation, J. Geophys. Res., 116, F03003, https://doi.org/10.1029/2010JF001866, 2011.
McClung, D. M. and Schaerer, P.: The Avalanche Handbook, 3rd Edn., The Mountaineers Books, Seattle, Wash, 2006.
Mellor, M.: A review of basic snow mechanics, in: Publ. 114, Int. Assoc. of Hydrol. Sci., Geneva, Switzerland, 251–291, 1975.
Miller, D., Tichota, R., and Adams, E.: An explicit numerical model for the study of snow's response to explosive air blast, Cold Reg. Sci. Technol., 69, 156–164, https://doi.org/10.1016/j.coldregions.2011.08.004, 2011.
Naaim, M., Faug, T., and Naaim-Bouvet, F.: Dry granular flow modelling including erosion and deposition, Surv. Geophys., 24, 569–585, https://doi.org/10.1023/B:GEOP.0000006083.47240.4c, 2003.
Nakamura, T., Abe, O., Nohguchi, M., and Kobayashi, T.: Basic studies on the behavior of roof snow in vibration in a snow season at earthquakes, Snow Life Tohoku, 15, 19–22, 2000a.
Nakamura, T., Hashimoto, R., Abe, O., and Ohta, T.: Experience with shear frames, Snow Life Tohoku, 15, 15–18, 2000b.
Nakamura, T., Abe, O., Hashimoto, R., and Ohta, T.: A dynamic method to measure the shear strength of snow, J. Glaciol., 56, 333–338, https://doi.org/10.3189/002214310791968502, 2010.
Navarre, J. P., Taillefer, A., and Danielou, Y.: Fluage et rhéologie de la neige, Actes de Conférence Chamonix, 14–25 Septembre 1992, Chamonix, 377–388, 1992.
Pérez-Guillén, C., Tapia, M., Suriñach, E., Furdada, G., and Hiller, M.: Evaluation of an avalanche triggered by a local earthquake at the Vallée de la Sionne (Switzerland) experimental site, in: Proceedings of International Snow Science Workshop, ISSW'13, Grenoble-Chamonix, France, 183–190, 2013.
Perla, R. and Beck, T. M. H.: Experience with shear frames, J. Glaciol., 29, 485–491, 1983.
Podolskiy, E. A.: Experimental studies on earthquake-induced snow avalanches, PhD thesis, Nagoya University, Japan, 2010.
Podolskiy, E. A., Nishimura, K., Abe, O., and Chernous, P. A.: Earthquake-induced snow avalanches: I. Historical case studies, J. Glaciol., 56, 431–446, https://doi.org/10.3189/002214310792447815, 2010a.
Podolskiy, E. A., Nishimura, K., Abe, O., and Chernous, P. A.: Earthquake-induced snow avalanches: II. Experimental study, J. Glaciol., 56, 447–458, https://doi.org/10.3189/002214310792447833, 2010b.
Podolskiy, E. A., Chambon, G., Naaim, M., and Gaume, J.: A review of finite element modelling in snow mechanics, J. Glaciol., 59, 1189–1201, https://doi.org/10.3189/2013JoG13J121, 2013.
Reiweger, I. and Schweizer, J.: Failure of a layer of buried surface hoar, Geophys. Res. Lett., 37, L24501, https://doi.org/10.1029/2010GL045433, 2010.
Reiweger, I., Schweizer, J., Dual, J., and Herrmann, H. J.: Modelling snow failure with a fibre bundle model, J. Glaciol., 55, 997–1002, https://doi.org/10.3189/002214309790794869, 2009.
Roch, A.: Les variations de la résistance de la neige, in: International Association of Scientific Hydrology Publication 69, Symposium at Davos, 5–10 April 1965, Scientific Aspects of Snow and Ice Avalanches, Davos, 86–99, 1966.
Schweizer, J.: The influence of the layered character of snow cover on the triggering of slab avalanches, Ann. Glaciol., 18, 193–198, 1993.
Schweizer, J., Michot, G., and Kirchner, H.: On the fracture toughness of snow, Ann. Glaciol., 38, 1–8, https://doi.org/10.3189/172756404781814906, 2004.
Sigrist, C. and Schweizer, J.: Critical energy release rates of weak snowpack layers determined in field experiments, Geophys. Res. Lett., 34, L03502, https://doi.org/10.1029/2006GL028576, 2007.
Sigrist, C., Schweizer, J., Schindler, H.-J., and Dual, J.: The energy release rate of mode II fractures in layered snow samples, Internat. J. Fract., 139, 461–475, https://doi.org/10.1007/s10704-006-6580-9, 2006.
Smith, F. and Curtis, J.: Stress analysis and failure prediction in avalanche snowpacks, in: Publ. 114, Int. Assoc. of Hydrol. Sci., Geneva, Switzerland, 332–340, 1975.
Smith, F., Sommerfeld, R. A., and Bailey, R. O.: Finite-element stress analysis of avalanche snowpacks, J. Glaciol., 10, 401–405, 1972.
Stoffel, M.: Numerical modelling of snow using finite elements, PhD thesis, Swiss Fed. Inst. of Technol., Zürich, Switzerland, 2005.
Stoffel, M. and Bartelt, P.: Modelling snow slab release using a temperature-dependent viscoelastic Finite Element model with weak layers, Surv. Geophys., 24, 417–430, https://doi.org/10.1023/B:GEOP.0000006074.56474.43, 2003.
Teufelsbauer, H.: Linking laser scanning to snowpack modeling: data processing and visualization, Comput. Geosci., 35, 1481–1490, https://doi.org/10.1016/j.cageo.2008.10.006, 2009.
Teufelsbauer, H.: A two-dimensional snow creep model for alpine terrain, Nat. Hazards, 56, 481–497, https://doi.org/10.1007/s11069-010-9515-8, 2011.
van Herwijnen, A. and Heierli, J.: Measurement of crack-face friction in collapsed weak snow layers, Geophys. Res. Lett., 36, L23502, https://doi.org/10.1029/2009GL040389, 2009.
van Herwijnen, A. and Jamieson, B.: High-speed photography of fractures in weak snowpack layers, Cold Reg. Sci. Technol., 43, 71–82, 2005.
van Herwijnen, A., Schweizer, J., and Heierli, J.: Measurement of the deformation field associated with fracture propagation in weak snowpack layers, J. Geophys. Res., 115, F03042, https://doi.org/10.1029/2009JF001515, 2010.
Wilson, A., Schweizer, J., Johnston, C., and Jamieson, J.: Effects of surface warming of a dry snowpack, Cold Reg. Sci. Technol., 30, 59–65, https://doi.org/10.1016/S0165-232X(99)00014-2, 1999.
Zeidler, A. and Jamieson, B.: Refinements of empirical models to forecast the shear strength of persistent weak layers, Part A: Layers of faceted crystals., Cold Reg. Sci. Technol., 44, 194–205, 2006.
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