Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-147-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-147-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jan 2021
Research article |
| 18 Jan 2021
| 18 Jan 2021
Modelling landslide hazards under global changes: the case of a Pyrenean valley
Séverine Bernardie
CORRESPONDING AUTHOR
BRGM, 3 avenue Claude Guillemin, 45060 Orléans, France
Rosalie Vandromme
BRGM, 3 avenue Claude Guillemin, 45060 Orléans, France
Yannick Thiery
BRGM, 3 avenue Claude Guillemin, 45060 Orléans, France
Thomas Houet
LETG-Rennes UMR 6554 CNRS, Place du Recteur Henri Le Moal, 35043
Rennes CEDEX, France
Marine Grémont
SUEZ, 34078 Montpellier, France
Florian Masson
BRGM, 3 avenue Claude Guillemin, 45060 Orléans, France
Gilles Grandjean
BRGM, 3 avenue Claude Guillemin, 45060 Orléans, France
Isabelle Bouroullec
BRGM, 31520 Ramonville-Saint-Agne, France
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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.
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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
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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.
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
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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.
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-126, https://doi.org/10.5194/nhess-2023-126, 2023
Revised manuscript accepted for NHESS
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We analyzed 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. Rather, the flow properties appear to be determined by the flow volume, from which most other parameters can be derived.
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.
Bastian van den Bout, Chenxiao Tang, Cees van Westen, and Victor Jetten
Nat. Hazards Earth Syst. Sci., 22, 3183–3209, https://doi.org/10.5194/nhess-22-3183-2022, https://doi.org/10.5194/nhess-22-3183-2022, 2022
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Natural hazards such as earthquakes, landslides, and flooding do not always occur as stand-alone events. After the 2008 Wenchuan earthquake, a co-seismic landslide blocked a stream in Hongchun. Two years later, a debris flow breached the material, blocked the Min River, and resulted in flooding of a small town. We developed a multi-process model that captures the full cascade. Despite input and process uncertainties, probability of flooding was high due to topography and trigger intensities.
Cited articles
ALADIN International Team: The Aladin project mesoscale modelling seen as
basic tool for weather forecasting and atmospheric research, WMO
Bull., 46, 317–324, 1997.
Alvioli, M., Melillo, M.,Guzzetti, F., Rossi, M., Palazzi, E., von
Hardenberg, J., Brunetti, M., and Peruccacci, S.: Implications of climate
change on landslide hazard in Central Italy, Sci. Total Environ., 630, 1528–1543, https://doi.org/10.1016/j.scitotenv.2018.02.315, 2018.
Baills, A., Vandromme, R., Desramaut, N., Sedan, O., and Grandjean, G.: Changing patterns in climate-driven landslide hazard: an alpine test site, The Second World Landslides Forum, October 2011, Rome, Italy, available at: https://hal-brgm.archives-ouvertes.fr/hal-00631008 (last access: 12 January 2021), 2011.
Barrère, P., Bois, J.-P., Soulé, J.-C., and Ternet, Y.: Carte
géologique de la France au 1:50 000: Argelès-Gazost, XVI-47, 1070, BRGM, Argelès-Gazost, 1980 (in French).
Bartelletti, C., Galve, J. P., Barsanti, M., Giannecchini, R., Avanzi,
G. D. A., Galanti, Y., Cevasco, A., Azañón, J. M., and Mateos, R. M.:
GIS-Based Deterministic and Statistical Modelling of Rainfall-Induced
Landslides: A Comparative Study, in: Advancing Culture of Living with Landslide, edited by: Mikos, M., Tiwari, B., Yin, Y., and Sassa, K.,
Springer, Cham, 749–757, https://doi.org/10.1007/978-3-319-53498-5_86, 2017.
Beguería, S.: Validation and evaluation of predictive models in hazard
assessment and risk management, Nat. Hazards 37, 315–329, https://doi.org/10.1007/s11069-005-5182-6, 2006.
Bernardie, S., Vandromme, R., Mariotti, A., Houet, T., Grémont, M., Grandjean, G., and Thiery Y.: Estimation of landslides activities evolution due to land–use and climate change in a Pyrenean valley, in: Advancing Culture of Living with Landslides, Ljubljana, Slovenia, 29 May–2 June 2017, Springer, Cham, 859–867, https://doi.org/10.1007/978-3-319-53498-5_98, 2017.
Bischetti, G. B., Chiaradia, E. A., Epis, T., and Morlotti, E.: Root cohesion of forest species in the Italian Alps, Plant Soil, 324, 71–89, 2009.
Bonnard, C., Tacher, L., and Beniston, M.: Prediction of landslide movements caused by climate change: Modelling the behaviour of a mean elevation large slide in the Alps and assessing its uncertainties, in: Landslides and Engineered Slopes. From the Past to the Future, edited by: Chen, Z., Zhang, J.-M., Ho, K., Wu, F.-Q., and Li, Z.-K., CRC Press, London,
https://doi.org/10.1201/9780203885284-17, 217–227, 2008.
Brenning, A.: Spatial prediction models for landslide hazards: review, comparison and evaluation, Nat. Hazards Earth Syst. Sci., 5, 853–862, https://doi.org/10.5194/nhess-5-853-2005, 2005.
Buma, J. and Dehn, M.: A method for predicting the impact of climate change on slope stability, Environ. Geol., 35, 190–196,
https://doi.org/10.1007/s002540050305, 1998.
Buma, J. and Dehn, M.: Impact of climate change on a landslide in South East
France, simulated using different GCM scenarios and downscaling methods for
local precipitation, Clim. Res., 15, 69–81, https://doi.org/10.3354/cr015069, 2000.
Cervi, F., Berti, M., Borgatti, L., Ronchetti, F., Manenti, F., and Corsini,
A.: Comparing predictive capability of statistical and deterministic methods
for landslide susceptibility mapping: a case study in the northern Apennines
(Reggio Emilia Province, Italy), Landslides, 7, 433–444, 2010.
Chang, S.-H. and Chiang, K.-T.: The potential impact of climate change on
typhoon triggered landslides in Taiwan, 2010–2099, Geomorphology, 133,
143–151, https://doi.org/10.1016/j.geomorph.2010.12.028, 2011.
Chung, C. F. and Fabbri, A. G.: Validation of spatial prediction models for
landslide hazard mapping, Nat. Hazards,30, 451–472, https://doi.org/10.1023/B:NHAZ.0000007172.62651.2b, 2003.
Ciabatta, L., Camici, S., Brocca, L., Ponziani, F., Stelluti, F., Berni, N., and Moramarco, T.: Assessing the impact of climate-change scenarios on landslide occurrence in Umbria Region, Italy, J. Hydrol.,
https://doi.org/10.1016/j.jhydrol.2016.02.007, 2016.
Ciurleo, M., Cascini, L., and Calvello, M.: A comparison of statistical and
deterministic methods for shallow landslide susceptibility zoning in clayey
soils, Eng. Geol., 223, 71–81, 2017.
Coe, J. A.: Regional moisture balance control of landslide motion: implications for landslide forecasting in a changing climate, Geology, 40, 323–326, https://doi.org/10.1130/G32897.1, 2012.
Collison, A., Wade, S., Griffiths, J., and Dehn, M.: Modelling the impact of
predicted climate change on landslide frequency and magnitude in SE England,
Eng. Geol., 5, 205–218, https://doi.org/10.1016/s0013-7952(99)00121-0,
2000.
Comegna, L., Picarelli, L., Bucchignani, E., and Mercogliano, P.: Potential
effects of incoming climate changes on the behaviour of slow active
landslides in clay, Landslides, 10, 373–391,
https://doi.org/10.1007/s10346-012-0339-3, 2013.
Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J.-P., Fotopoulou, S., Catani, F., Van Den Eeckhaut, M., Mavrouli, O., Agliardi, F.,
Pitilakis, K., Winter, M. G., Pastor, M., Ferlisi, S., Tofani, V., Hervás, J., and Smith, J. T.: Recommendations for the quantitative analysis of landslide risk, B. Eng. Geol. Environ., 73, 209,
https://doi.org/10.1007/s10064-013-0538-8, 2014.
Crow, P.: The influence of soils and species on tree root depth, Forestry Commission, Edinburgh, Information Note FCINO78, 8 pp., 2005.
Crozier, M. J.: Deciphering the effect of climate
change on landslide activity: a review, Geomorphology 124, 260–267.
https://doi.org/10.1016/j.geomorph.2010.04.009, 2010.
Cruden, D. M. and Varnes, D. J.: Landslides: investigation and mitigation.
Chapter 3-Landslide types and processes, Transportation research board
special report, 247, 1996.
Davis, J. and Blesius, L.: A hybrid physical and maximum-entropy landslide
susceptibility model, Entropy, 17, 4271–4292, 2015.
De Crécy, L.: L'histoire de la RTM: quelques réflexions d'un
praticien, Revue géographique des Pyrénées et du Sud-Ouest, 59, 16–28, https://doi.org/10.3406/rgpso.1988.3103, 1988 (in French).
Dehn, M. and Buma, J.: Modelling future landslide activity based on general
circulation models, Geomorphology, 30, 175–187,
https://doi.org/10.1016/s0169-555x(99)00053-7, 1999.
DRIAS: Drias les futurs du climat, projections climatiques pour
l'adaptation de nos sociétés; Simulations de Jouzel-2014,
données Météo-France, CNRM-GAME, CERFACS, IPSL,
available at: http://www.drias-climat.fr/ (last access: 28 January 2015), 2014.
Fabre, R., Lebourg, T., and Clément, B.: Typologie et modèles de
glissements de terrain: exemples de sites des Pyrénées occidentales
et centrales, Rev. Fr. Geotech., 99, 35–48, https://doi.org/10.1051/geotech/2002099035, 2002 (in French).
Fan, J. C., Yang, C. H., Chang, S. C., Huang, H. Y., and Guo, J. J.: Effects of climate change on the potential of the landslides in the basin of Kaoping
stream, J. Chin. Soil Water Conserv., 44, 335–350, 2013.
Galve, J. P., Cevasco, A., Brandolini, P., and Soldati, M.: Assessment of
shallow landslide risk mitigation measures based on land use planning
through probabilistic modelling, Landslides, 12, 101–114, 2015.
Galve, J. P., Bartelletti, C., Notti, D., Fernández-Chacón, F.,
Barsanti, M., Azañón, J. M., Pérez-Peña, V., Giannecchini,
R., Avanzi, G. D. A., Galanti, Y., and Lamas, F. J.: Deterministic and
Probabilistic Slope Stability Models Forecast Performance at
1:5000-Scal, Workshop on World Landslide Forum, Springer, Cham, 741–774, 2017.
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate, Earth Sci.
Rev., 162, 227–252, 2016.
Gariano, S. L., Rianna, G., Petrucci, O., and Guzzetti, F.: Assessing future
changes in the occurrence of rainfall-induced landslides at a regional
scale, Sci. Total Environ., 596–597, 417–426,
https://doi.org/10.1016/j.scitotenv.2017.03.103, 2017.
Gariano, S. L., Petrucci, O., Rianna, G., Santini, M., and Guzzetti, F.:
Impacts of past and future land changes on landslides in southern Italy, Reg.
Environ. Change, 18, 437–449, https://doi.org/10.1007/s10113-017-1210-9,
2018.
Gassner, C., Promper, C., Begueria, S., and Glade, T.: Climate change
impact for spatial landslide susceptibility, in: Engineering Geology for Society and Territory Climate Change and Engineering Geology 1, edited by: Lollino, G., Manconi, A., Clague, J., Shan, W., and Chiarle, M., Springer
International Publishing, 429–433, 2015.
Genet, M., Stoke, A., Fourcaud, T., and Norris, J. E.: The influence of plant
diversity on slope stability in a moist evergreen deciduous forest, Ecol.
Eng., 36, 265–275, 2010.
Glade, T.: Landslide occurrence as a response to land use change: a review
of evidence from New Zealand, Catena, 51, 297–314, 2003.
Grandjean, G., Thomas, L., Bernardie, S., and the SAMCO Team: A Novel
Multi-Risk Assessment Web-Tool for Evaluating Future Impacts of Global
Change in Mountainous Areas, Climate, 6, 92,
https://doi.org/10.3390/cli6040092, 2018.
Gruber, M.: Les relations climat-végétation dans les
Pyrénées centrales françaises, Acta Botanica Malacitana, 16,
405–415, 1991 (in French).
Guzzetti, F., Reichenbach, P., Ardizzone, F., Cardinali, M., and Galli, M.:
Estimating the quality of landslide susceptibility models, Geomorphology, 81,
166–184, https://doi.org/10.1016/j.geomorph.2006.04.007, 2006.
Houet, T., Gremont, M., Vacquié, L., Forget, Y., Marriotti, A.,
Puissant, A., Bernardie, S., Thiery, Y., Vandromme, R., and Grandjean, G.:
Downscaling scenarios of future land use and land cover changes using a
participatory approach: an application to mountain risk assessment in the
Pyrenees (France), Reg. Environ. Change, 17, 2293–2307, https://doi.org/10.1007/s10113-017-1171-z, 2017.
Huber, U. M., Bugmann, H. K. M., and Reasoner, M. A.: Global
Change and Mountain Regions: An Overview of Current Knowledge, in: Advances
in Global Change Research, Springer, Berlin, 650 pp., 2005.
IPCC: Climate Change 2007: The Physical Science Basis. Contribution of
Working Group I to the Fourth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, UK and New York, USA, 2007.
IPCC: Intergovernmental Panel on Climate Change: Climate Change 2014:
Synthesis Report. Contribution of Working Groups I, II and III to the Fifth
Assessment Report of the Intergovernmental Panel on Climate Change, Geneva,
Switzerland, 151 pp., 2014.
Jakob, M. and Lambert, S.: Climate change effects on landslides along the
southwest coast of British Columbia, Geomorphology, 107, 275–284,
https://doi.org/10.1016/j.geomorph.2008.12.009, 2009.
Ji, J., Kokutse N. K., Genet M., Fourcaud T., and Zhang Z. Q.: Effect of spatial variation of tree root characteristics on slope stability. A case study on Black Locust (Robinia pseudoacacia) and Arborvitae (Platycladus orientalis) stands on the Loess Plateau, China, Catena, 92, 139–154, 2012.
Jomelli, V., Brunstein, D., Déqué, M., Vrac, M., and Grancher, D.:
Impacts of future climatic change (2070–2099) on the potential occurrence
of debris flows: a case study in the Massif des Ecrins (French Alps), Clim.
Change, 97, 171–191, https://doi.org/10.1007/s10584-009-9616-0, 2009.
Kim, K. G., Lee, D. K., Park, C., Kil, S., Son, Y., and Park, J. H.: Evaluating landslide hazards using RCP 4.5 and 8.5 scenarios, Environ. Earth Sci., 73, 1385–1400, https://doi.org/10.1007/s12665-014-3775-7, 2015.
Kirsten, H. A..: Significance of the probability of failure in slope
engineering, Civ. Eng., 25, 17–27, 1983.
Kohler, T. and Maselli, D.: Mountains and Climate Change – From Understanding to Action, published by Geographica Bernensia with the support of the Swiss Agency for Development and Cooperation (SDC), and an international team of contributors, Bern, 2009.
Kokutse, N. K., Temgoua, A. G. T., and Kavazović, Z.: Slope stability and vegetation: Conceptual and numerical investigation of mechanical effects, Ecol. Eng., 86, 146–153, https://doi.org/10.1016/j.ecoleng.2015.11.005, 2016.
Lebourg, T., Fabre, R., Clement, B., and Frappa, M.: High-mountain landslides in the Atlantic Pyrenees: their relationship with the geology and
geomorphology, B. Eng. Geol. Environ., 62, 221–223,
https://doi.org/10.1007/s10064-002-0180-3, 2003a.
Lebourg, T., Riss, J., Fabre, R., and Clément, B.: Morphological
characteristics of till formations in relation with mechanical parameters,
Math. Geol., 35, 835–852, 2003b.
Lee, M.-J., Song, W.-K., Won, J.-S., Park, I., and Lee, S.: Spatial and temporal change in landslide hazard by future climate change scenarios using
probabilistic-based frequency ratio model, Geocarto Int., 29,
639–662, https://doi.org/10.1080/10106049.2013.826739, 2014.
McInnes, R., Jakeways, J., Fairbank, H., and Mathie, E.: Landslides and
Climate Change: Challenges and Solutions, in: Proceedings of the International Conference on Landslides and Climate Change, Ventnor, Isle of Wight, UK, 21–24 May 2007, Taylor & Francis, London, https://doi.org/10.1201/noe0415443180, 2007.
Melchiorre, C. and Frattini, P.: Modelling probability of rainfall-induced
shallow landslides in a changing climate, Otta, Central Norway. Clim. Change,
113, 413–436. https://doi.org/10.1007/s10584-011-0325-0, 2012.
Morgenstern, N. R. and Price, V. E.: The analysis of the stability of general
slip surfaces, Geotechnique, 15, 79–93, 1965.
Morgenstern, R. and Price, V. E.: A numerical method for solving the equations of stability of general slip surfaces, Comput. J., 9, 388–393, 1967.
Moore, R., Carey, J. M., Mc Innes, R. G., and Houghton, J. E. M.: Climate change, so what? Implications for ground movement and landslide event frequency in the Ventor Undercliff, Isle of Wight, in: Landslides and
Climate Change: Challenges and Solutions, in: Proceedings of the International Conference on Landslides and Climate Change, Isle of Wight, UK, 21–24 May 2007, edited by: McInnes, R., Jakeways, J., Fairbank, H., Mathie, E., 335–345, 2007.
Norris J. E., Stokes A., Mickovski S. B., Cammeraat E., van Beek L. P. H, Nicoll B., and Achim, A.: Slope stability and erosion control: ecotechnological solutions, Springer, Dortmund, 2008.
Oliveira, S. C., Zêzere, J. L., Lajas, S., and Melo, R.: Combination of statistical and physically based methods to assess shallow slide susceptibility at the basin scale, Nat. Hazards Earth Syst. Sci., 17, 1091–1109, https://doi.org/10.5194/nhess-17-1091-2017, 2017.
OPCC-CTP: Climate change in the Pyrenees: impacts, vulnerability and adaptation Bases of knowledge for the future adaptation strategy of the Pyrenees, ISBN: 978-84-09-06268-3, 2018.
Pack, R. T.: Assessing Terrain Stability in a GIS using SINMAP, 15th Annual GIS Conference, GIS 2001, p. 9., 2001.
Pack, R. T., Tarboton, D. G., and Goodwin, C. N.: Assessing terrain stability in a GIS using SINMAP, 15th Annual GIS Conference, GIS 2001, Vancouver, p. 9., 2001.
Peres, D. J. and Cancelliere, A.: Modeling impacts of climate change on return period of landslide triggering, J. Hydrol., 567, 420–434,
https://doi.org/10.1016/j.jhydrol.2018.10.036, 2018.
Persichillo, M. G., Bordoni, M., and Meisina, C.: The role of land use changes in the distribution of shallow landslides, Sci. Total Environ., 574, 924–937, https://doi.org/10.1016/j.scitotenv.2016.09.125, 2017.
Pisano, L., Zumpano, V., Malek, Ž., Rosskopf, C. M., and Parise, M.:
Variations in the susceptibility to landslides, as a consequence of land
cover changes: A look to the past, and another towards the future, Sci. Total Environ., 601–602, 1147–1159, https://doi.org/10.1016/j.scitotenv.2017.05.231, 2017.
Promper, C., Puissant, A., Malet, J.-P., and Glade, T.: Analysis of land cover changes in the past and the future as contribution to landslide risk
scenarios, Appl. Geogr., 53, 11–19,
https://doi.org/10.1016/j.apgeog.2014.05.020, 2014.
Reichenbach, P., Mondini, A. C., and Rossi, M.: The influence of land use
change on landslide susceptibility zonation: the Briga catchment test site
(Messina, Italy), Environ. Manage., 54, 1372–1384,
https://doi.org/10.1007/s00267-014-0357-0, 2014.
Remondo, J., González-Díez, A., Soto, J., Díaz de Terán, J. R., and Cendrero, A.: Human impact on geomorphic processes and hazards in mountain areas, Geomorphology, 66, 69–84, 2005.
Rianna, G., Zollo, A. L., Tommasi, P., Paciucci, M., Comegna, L., and Mercogliano, P.: Evaluation of the effects of climate changes on landslide activity of Orvieto clayey slope, Proc. Earth Plan. Sci., 9, 54–63,
https://doi.org/10.1016/j.proeps.2014.06.017, 2014.
Rianna, G., Reder, A., Mercogliano, P., and Pagano, L.: Evaluation of
Variations in Frequency of Landslide Events Affecting Pyroclastic Covers in
Campania Region under the Effect of Climate Changes, Hydrology, 4, 34,
https://doi.org/10.3390/hydrology4030034, 2017.
Robinson, J. D., Vahedifard, F., and AghaKouchak, A.: Rainfall-triggered
slope instabilities under a changing climate:comparative study using
historical and projected precipitation extremes, Can. Geotech. J., 54,
117–127, https://doi.org/10.1139/cgj-2015-0602, 2017.
Sangelantoni, L., Gioia, E., and Marincioni, F.: Impact of climate change on
landslides frequency: the Esino river basin case study (Central Italy), Nat.
Hazards, 93, 849–884, https://doi.org/10.1007/s11069-018-3328-6, 2018.
Schiechtl, H. M.: Bioengineering for land reclamation and conservation, Univ. of Alberta Press, Edmonton, Canada, 1980.
Sedan, O., Desramaut, N., and Vandromme, R.: Logiciel ALICE version 7-Guide
d'utilisateur, BRGM, RP-60004, 2013 (in French).
Shou, K. J. and Yang, C. M.: Predictive analysis of landslide susceptibility
under climate change conditions – a study on the Chingshui River Watershed
of Taiwan, Eng. Geol., 192, 46–62,
https://doi.org/10.1016/j.enggeo.2015.03.012, 2015.
Stoffel, M., Tiranti, D., and Huggel, C.: Climate change impacts on mass
movements – case studies from the European Alps, Sci. Total Environ., 493,
1255–1266, https://doi.org/10.1016/j.scitotenv.2014.02.102, 2014.
Tacher, L. and Bonnard, C.: Hydromechanical modelling of a large landslide
considering climate change conditions, in: Landslides and Climate Change: Challenges and Solutions Proceedings of the International Conference on Landslides and Climate Change, Ventnor, Isle of Wight, UK, 21–24 May 2007, edited by: McInnes, R., Jakeways, J.,
Fairbank, H., and Mathie, E., Taylor & Francis, London, 131–141, 2007.
Thiéry, D.: Logiciel GARDÉNIA version 6.0 – Guide d'utilisation.
BRGM report, RP-52832-FR, 104 pp., 2003 (in French).
Thiery, Y., Malet, J.-P., Sterlacchini, S., Puissant, A., and Maquaire, O.:
Landslide susceptibility assessment by bivariate methods at large scales:
application to a complex mountainous environment, Geomorphology, 9,
38–59, 2007.
Thiery, Y., Vandromme R., Maquaire O., and Bernardie S.: Landslide
Susceptibility Assessment by EPBM (Expert Physically Based Model): Strategy
of Calibration in Complex Environment, in: Advancing Culture of Living with
Landslides, https://doi.org/10.1007/978-3-319-53498-5_104, 917–926, 2017.
Turkington, T., Remaître, A., Ettema, J., Hussin, H., and van Westen, C.: Assessing debris flow activity in a changing climate, Clim. Change, 137, 293–305, https://doi.org/10.1007/s10584-016-1657-6, 2016.
Vanacker, V., Vanderschaeghe, M., Govers, G., Willems, E., Poesen, J.,
Deckers, J., and De Bievre, B.: Linking hydrological, infinite slope
stability and land-use change models through GIS for assessing the impact of
deforestation on slope stability in high Andean watersheds, Geomorphology,
52, 299–315, 2003.
Van Beek, L. P. H. and Van Asch, T. W.: Regional assessment of the effects of
land-use change on landslide hazard by means of physically based modelling,
Nat. Hazards, 31, 289–304, 2004.
Vandromme, R., Desramaut, N., Garnier, C., and Bernardie, S.: A novel approach to integrate effects of vegetation changes on slope stability, in: Lollino, G., Giordan, D., Crosta, G., Corominas, J., Azzam, R., Wasowski, J., and Sciarra, N., Engineering geology for society and territory, Springer, 2, 975–978, 2015.
Van Westen, C. J., Van Asch, T. W. J., and Soeters, R.: Landslide hazard and risk zonation - Why is it still so difficult?, B. Eng. Geol. Environ., 65,
167–184, https://doi.org/10.1007/s10064-005-0023-0, 2006.
Van Westen, C. J., Castellanos, E., and Kuriakose, S. L.: Spatial data for
landslide susceptibility, hazard, and vulnerability assessment: An overview,
Eng. Geol., 102, 112–131, https://doi.org/10.1016/j.enggeo.2008.03.010,
2008.
Varnes, D. J.: Slope Movement Types and Processes, in Special Report 176:
LAndslides: Analysis and Control, edited by Schuster, R. L. and Krizek, R. J. National Research Council, Washington, D.C., USA, 11-33, 1978.
Varnes, D. J. and COMMISSION ON LANDSLIDES AND OTHER MASS MOVEMENTS:
Landslide hazard zonation: a review of principles and practise, in: B. Int. Assoc. Eng. Geol., 23, 13–14, https://doi.org/10.1007/BF02594720, 1984.
Vandromme, R., Thiery, Y., Bernardie, S., and Sedan O.: ALICE (Assessment of
Landslides induced by Climatic Events): a single tool to integrate shallow
and deep landslides for susceptibility and hazard assessment, Geomorphology,
367, 107307, https://doi.org/10.1016/j.geomorph.2020.107307, 2020.
Viers, G.: Climat Et Climats Des Pyrénées Orientales, Ann. Geogr., 96, 339–343, 1987.
Villani, V., Rianna, G., Mercogliano, P., and Zollo, A. L.: Statistical
approaches versus weather generator to downscale RCM outputs to slope scale
for stability assessment: a comparison of performances, Electron. J.
Geotech. Eng., 20, 1495–1515, 2015.
Wieczorek, G. F.: Preparing a detailed landslide-inventory map for hazard
evaluation and reduction, B. Assoc. Eng. Geol., 21, 337–342, 1984.
Winter, M. G. and Shearer, B.: Climate change and landslide hazard and risk in Scotland, in: Engineering Geology for Society and Territory Climate Change and Engineering Geology, edited by: Lollino, G., Manconi, A., Clague, J., Shan, W., and Chiarle, M., Springer International Publishing, 1, 411–414,
2015.
World Meteorological Organization (WMO): General Meteorological Standards
and Recommended Practices, Technical regulations, WMO-no. 49, Vol. 1, ISBN: 978-92-63-10049-8, 2018.
Wu, T. H., McKineel, W. P., and Swanston, D. N.: Strength of the tree roots and landslides on Prince of Wales Island, Alaska, Can. Geotech. J., 16, 19–33, 1979.
Wu, X., Chen, X., Zhan, F. B., and Hong, S.: Global research trends in landslides during 1991–2014: a bibliometric analysis, Landslides, 12, 1215–1226, https://doi.org/10.1007/s10346-015-0624-z, 2015.
Zizioli, D., Meisina, C., Valentino, R., and Montrasio, L.: Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy, Nat. Hazards Earth Syst. Sci., 13, 559–573, https://doi.org/10.5194/nhess-13-559-2013, 2013.
Short summary
The present study evaluates the impacts of land use and climate change, based on scenarios, on landslide hazards in a Pyrenean valley from the present to 2100.
The results demonstrate the influence of land cover on slope stability through the presence and type of forest. Climate change may have a significant impact because of the increase of the soil water content. The results indicate that the occurrence of landslide hazards in the future is expected to increase.
The present study evaluates the impacts of land use and climate change, based on scenarios, on...
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