Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2041-2021
© 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-21-2041-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2021
Research article |
| 06 Jul 2021
| 06 Jul 2021
Analysis of meteorological parameters triggering rainfall-induced landslide: a review of 70 years in Valtellina
Andrea Abbate
Department of Civil Engineering (DICA), Politecnico di Milano, Milan,
20133, Italy
Monica Papini
Department of Civil Engineering (DICA), Politecnico di Milano, Milan,
20133, Italy
Laura Longoni
CORRESPONDING AUTHOR
Department of Civil Engineering (DICA), Politecnico di Milano, Milan,
20133, Italy
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Praveen Kumar, Priyanka Priyanka, Kala Venkata Uday, and Varun Dutt
Nat. Hazards Earth Syst. Sci., 24, 1913–1928, https://doi.org/10.5194/nhess-24-1913-2024, https://doi.org/10.5194/nhess-24-1913-2024, 2024
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Kristian Svennevig, Julian Koch, Marie Keiding, and Gregor Luetzenburg
Nat. Hazards Earth Syst. Sci., 24, 1897–1911, https://doi.org/10.5194/nhess-24-1897-2024, https://doi.org/10.5194/nhess-24-1897-2024, 2024
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Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umaraliev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 1697–1720, https://doi.org/10.5194/nhess-24-1697-2024, https://doi.org/10.5194/nhess-24-1697-2024, 2024
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Central Asia regions are marked by active tectonics, high mountains with glaciers, and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of possible damming scenarios, which endanger the population. To prevent this, a semi-automated geographic information system (GIS-)based mapping method, centered on a bivariate correlation of morphometric parameters, was applied to give preliminary information on damming susceptibility in Central Asia.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci., 24, 1579–1605, https://doi.org/10.5194/nhess-24-1579-2024, https://doi.org/10.5194/nhess-24-1579-2024, 2024
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We mapped potential for heavy rainfall to cause landslides in part of the central mountains of Puerto Rico using new tools for estimating soil depth and quasi-3D slope stability. Potential ground-failure locations correlate well with the spatial density of landslides from Hurricane Maria. The smooth boundaries of the very high and high ground-failure susceptibility zones enclose 75 % and 90 %, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 24, 1459–1483, https://doi.org/10.5194/nhess-24-1459-2024, https://doi.org/10.5194/nhess-24-1459-2024, 2024
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Debris flows are a type of fast-moving landslide that start from shallow landslides or during intense rain. Infrastructure located downstream of watersheds susceptible to debris flows may be damaged should a debris flow reach them. We present and evaluate an approach to forecast building damage caused by debris flows. We test three alternative models for simulating the motion of debris flows and find that only one can forecast the correct number and spatial pattern of damaged buildings.
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
Nat. Hazards Earth Syst. Sci., 24, 1357–1379, https://doi.org/10.5194/nhess-24-1357-2024, https://doi.org/10.5194/nhess-24-1357-2024, 2024
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Runoff and erosion increase after fire, leading to a greater likelihood of floods and debris flows. We monitored debris flow activity following a fire in western New Mexico, USA, and observed 16 debris flows over a <2-year monitoring period. Rainstorms with recurrence intervals of approximately 1 year were sufficient to initiate debris flows. All debris flows initiated during the first several months following the fire, indicating a rapid decrease in debris flow susceptibility over time.
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci., 24, 1287–1301, https://doi.org/10.5194/nhess-24-1287-2024, https://doi.org/10.5194/nhess-24-1287-2024, 2024
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Morphological conditions of drainage basins that classify the presence or absence of debris flow fans were analyzed in areas with different rock strength using decision tree analysis. The relief ratio is the most important morphological factor regardless of the geology. However, the thresholds of morphological parameters needed for forming debris flow fans differ depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci., 24, 1035–1049, https://doi.org/10.5194/nhess-24-1035-2024, https://doi.org/10.5194/nhess-24-1035-2024, 2024
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We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled these flows with a debris flow runout model. We found that no correlation exists between the grain size distribution, the mineralogical composition of the matrix, and the debris flow properties. The flow properties rather appear to be determined by the flow volume, from which most other parameters can be derived.
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
Nat. Hazards Earth Syst. Sci., 24, 891–906, https://doi.org/10.5194/nhess-24-891-2024, https://doi.org/10.5194/nhess-24-891-2024, 2024
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We developed three rock bridge models to analyze 3D stability and deformation behaviors of the Tizicao landslide and found that the contact surface model with high strength parameters combines advantages of the intact rock mass model in simulating the deformation of slopes with rock bridges and the modeling advantage of the Jennings model. The results help in choosing a rock bridge model to simulate landslide stability and reveal the influence laws of rock bridges on the stability of landslides.
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845, https://doi.org/10.5194/nhess-24-823-2024, https://doi.org/10.5194/nhess-24-823-2024, 2024
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We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
Li-Ru Luo, Zhi-Xiang Yu, Li-Jun Zhang, Qi Wang, Lin-Xu Liao, and Li Peng
Nat. Hazards Earth Syst. Sci., 24, 631–649, https://doi.org/10.5194/nhess-24-631-2024, https://doi.org/10.5194/nhess-24-631-2024, 2024
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We performed field investigations on a rockfall near Jiguanshan National Forest Park, Chengdu. Vital information was obtained from an unmanned aerial vehicle survey. A finite element model was created to reproduce the damage evolution. We found that the impact kinetic energy was below the design protection energy. Improper member connections prevent the barrier from producing significant deformation to absorb energy. Damage is avoided by improving the ability of the nets and ropes to slide.
Rachael Lau, Carolina Seguí, Tyler Waterman, Nathaniel Chaney, and Manolis Veveakis
EGUsphere, https://doi.org/10.48550/arXiv.2311.01564, https://doi.org/10.48550/arXiv.2311.01564, 2024
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This work examines the use of Interferometric Synthetic Aperture Radar (InSAR) alongside in-situ borehole measurements to assess the stability of deep-seated landslides for the case study of El Forn (Andorra). InSAR data compared with borehole data suggests a key tradeoff between accuracy and precision for various InSAR resolutions. Spatial interpolation with InSAR informed how many remote observations are necessary to lower error on remote-sensing recreation of ground motion over the landslide.
Sudhanshu Dixit, Srikrishnan Siva Subramanian, Piyush Srivastava, Ali P. Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci., 24, 465–480, https://doi.org/10.5194/nhess-24-465-2024, https://doi.org/10.5194/nhess-24-465-2024, 2024
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Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards. Large-scale sediment disasters like landslides, debris flows, and flash floods happen frequently in the Himalayas because of their propensity for intense precipitation events. We provide a new framework that combines the Weather Research and Forecasting (WRF) model with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
Jacob B. Woodard, Benjamin B. Mirus, Nathan J. Wood, Kate E. Allstadt, Benjamin A. Leshchinsky, and Matthew M. Crawford
Nat. Hazards Earth Syst. Sci., 24, 1–12, https://doi.org/10.5194/nhess-24-1-2024, https://doi.org/10.5194/nhess-24-1-2024, 2024
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Dividing landscapes into hillslopes greatly improves predictions of landslide potential across landscapes, but their scaling is often arbitrarily set and can require significant computing power to delineate. Here, we present a new computer program that can efficiently divide landscapes into meaningful slope units scaled to best capture landslide processes. The results of this work will allow an improved understanding of landslide potential and can help reduce the impacts of landslides worldwide.
Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 23, 3805–3821, https://doi.org/10.5194/nhess-23-3805-2023, https://doi.org/10.5194/nhess-23-3805-2023, 2023
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The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the lowest number of missed and false alarms. The ensemble approach allowed the estimation of the associated prediction uncertainty.
Xushan Shi, Bo Chai, Juan Du, Wei Wang, and Bo Liu
Nat. Hazards Earth Syst. Sci., 23, 3425–3443, https://doi.org/10.5194/nhess-23-3425-2023, https://doi.org/10.5194/nhess-23-3425-2023, 2023
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A 3D stability analysis method is proposed for biased rockfall with external erosion. Four failure modes are considered according to rockfall evolution processes, including partial damage of underlying soft rock and overall failure of hard rock blocks. This method is validated with the biased rockfalls in the Sichuan Basin, China. The critical retreat ratio from low to moderate rockfall susceptibility is 0.33. This method could facilitate rockfall early identification and risk mitigation.
Zhen Lei Wei, Yue Quan Shang, Qiu Hua Liang, and Xi Lin Xia
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-180, https://doi.org/10.5194/nhess-2023-180, 2023
Revised manuscript accepted for NHESS
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The initiation of debris flows is influenced significantly by rainfall-induced hydrological processes. We propose a novel framework, which is based on an integrated hydrological and hydrodynamic model, aimed at estimating Intensity-Duration (I-D) rainfall thresholds responsible for triggering debris flows. In comparison to traditional statistical approaches, this physically-based framework particularly suitable for application in ungauged catchments where historical debris flow data is scarce.
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.
Jürgen Mey, Ravi Kumar Guntu, Alexander Plakias, Igo Silva de Almeida, and Wolfgang Schwanghart
EGUsphere, https://doi.org/10.5194/egusphere-2023-1975, https://doi.org/10.5194/egusphere-2023-1975, 2023
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The Himalayan road network links remote areas, but fragile terrain and poor construction lead to frequent landslides. This study on NH-7 in India's Uttarakhand region analyzed 300 landslides after heavy 2022 rainfall. Factors like slope, rainfall, rock type, and road work influence landslides. The study's model predicts landslide locations for better road maintenance planning, highlighting the risk from climate change and increased road use.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
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Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi
Nat. Hazards Earth Syst. Sci., 23, 3079–3093, https://doi.org/10.5194/nhess-23-3079-2023, https://doi.org/10.5194/nhess-23-3079-2023, 2023
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The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Stefan Hergarten
Nat. Hazards Earth Syst. Sci., 23, 3051–3063, https://doi.org/10.5194/nhess-23-3051-2023, https://doi.org/10.5194/nhess-23-3051-2023, 2023
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Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Colin K. Bloom, Corinne Singeisen, Timothy Stahl, Andrew Howell, Chris Massey, and Dougal Mason
Nat. Hazards Earth Syst. Sci., 23, 2987–3013, https://doi.org/10.5194/nhess-23-2987-2023, https://doi.org/10.5194/nhess-23-2987-2023, 2023
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Landslides are often observed on coastlines following large earthquakes, but few studies have explored this occurrence. Here, statistical modelling of landslides triggered by the 2016 Kaikōura earthquake in New Zealand is used to investigate factors driving coastal earthquake-induced landslides. Geology, steep slopes, and shaking intensity are good predictors of landslides from the Kaikōura event. Steeper slopes close to the coast provide the best explanation for a high landslide density.
Yi-Min Huang
Nat. Hazards Earth Syst. Sci., 23, 2649–2662, https://doi.org/10.5194/nhess-23-2649-2023, https://doi.org/10.5194/nhess-23-2649-2023, 2023
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Debris flows are common hazards in Taiwan, and debris-flow early warning is important for disaster responses. The rainfall thresholds of debris flows are analyzed and determined in terms of rainfall intensity, accumulated rainfall, and rainfall duration, based on case histories in Taiwan. These thresholds are useful for disaster management, and the cases in Taiwan are useful for global debris-flow databases.
Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan
Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023, https://doi.org/10.5194/nhess-23-2625-2023, 2023
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We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
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.
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).
Cited articles
Abbate, A., Longoni, L., Ivanov, V. I., and Papini, M.: Wildfire impacts on
slope stability triggering in mountain areas, Geosciences, 9, 417, https://doi.org/10.3390/geosciences9100417, 2019.
Abbate, A., Longoni, L., and Papini, M.: Extreme Rainfall over Complex
Terrain: An Application of the Linear Model of Orographic Precipitation to a
Case Study in the Italian Pre-Alps, MDPI Geosciences, 11, 18, https://doi.org/10.3390/geosciences11010018, 2021.
Albano, R., Mancusi, L., and Abbate, A.: Improving flood rick analysis for
effectively supporting the implementation of flood risk management plans: The case study of “Serio” Valley, 75, 158–172, https://doi.org/10.1016/j.envsci.2017.05.017, 2017a.
Albano, R., Mancusi, L., and Abbate, A.: Improving flood risk analysis for
effectively supporting the implementation of flood risk management plans: The case study of “Serio” Valley, Environ. Sci. Policy, 75, 158–172, https://doi.org/10.1016/j.envsci.2017.05.017, 2017b.
Andrews, D. G.: An Introduction to Atmospheric Physics, Cambridge Press,
Cambridge, 2010.
ARPA Lombardia: Rete Monitoraggio Idro-nivo-meteorologico, available at:
https://www.arpalombardia.it/Pages/PageNotFoundError.aspx?requestUrl=https://www.arpalombardia.it/stiti/arpalombardia/meteo,
last access: 1 April 2020.
Ballio, F., Brambilla, D., Giorgetti, E., Longoni, L., Papini, M., and
Radice, A.: Evaluation of sediment yield from valley slope, WIT Transact. Eng. Sci., 67, 149–160, https://doi.org/10.2495/DEB100131, 2010.
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives
on precipitation intensity-duration thresholds for landslide initiation:
proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci. 18, 31–39, https://doi.org/10.5194/nhess-18-31-2018, 2018.
Bovolo, C. I. and Bathurst, J. C.: Modelling catchment-scale shallow landslide occurrence and sediment yield as a function of rainfall return period, Hydrol. Process., 26, 579–596, https://doi.org/10.1002/hyp.8158, 2011.
Bovolo, C. I. and Bathurst, J. C.: Modelling catchment-scale shallow landslide occurrence and sediment yield as a function of rainfall return
period, Hydrol. Process., 26, 579–596, https://doi.org/10.1002/hyp.8158, 2012.
Bronstert, A., Agarwal, A., Boessenkool, B., Crisologo, I., Peter, M.,
Heistermann, M., Köhn-Reich, L., López-Tarazón, J. A., Moran,
T., Ozturk, U., Reinhardt-Imjela, C., and Wendi, D.: Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29
event in Braunsbach, SW Germany, Sci. Total Environ., 630, 977–991, https://doi.org/10.1016/j.scitotenv.2018.02.241, 2018.
Caine, N.: The rainfall intensity duration control of shallow landslide and
debris flow, Geograf. Ann. A, 62, 659–675, https://doi.org/10.2307/520449, 1980.
Ceriani, M., Lauzi, S., and Padovan, M.: Rainfall thresholds triggering
debris-flow in the alpine area of Lombardia Region, central Alps – Italy,
in: Proceedings of the Man and Mountain'94, First International Congress for the Protection and Development of Mountain Environmen, Ponte di Legno, BS, Italy, 1994.
Ciccarese, G., Mulas, M., Alberoni, P., Truffelli, G., and Corsini, A.:
Debris flows rainfall thresholds in the Apennines of Emilia-Romagna (Italy)
derived by the analysis of recent severe rainstorms events and regional
meteorological data, Geomorphology, 358, 1–20,
https://doi.org/10.1016/j.geomorph.2020.107097, 2020.
Ciervo, F., Rianna, G., Mercogliano, P., and Papa, M. N.: Effects of climate
change on shallow landslides in a small coastal catchment in southern Italy,
Landslides, 14, 1043–1055, https://doi.org/10.1007/s10346-016-0743-1, 2017.
Copernicus C3S: Monitoring European climate using surface observations, available at:
http://surfobs.climate.copernicus.eu/surfobs.php (last access: 1 April 2021), 2020.
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, Bull. Eng. Geol. Environ., 73, 209–263, https://doi.org/10.1007/s10064-013-0538-8, 2014.
Crosta, G. and Frattini, P.: Rainfall thresholds for triggering soil slips
and debris flow, in: 2nd Plinius Conference on Mediterranean Storms, 16–18 October 2000, Siena, Italy, 463–487, 2001.
De Michele, C., Rosso, R., and Rulli, M. C.: Il Regime delle Precipitazioni
Intense sul Territorio della Lombardia: Modello di Previsione Statistica
delle Precipitazioni di Forte Intensità e Breve Durata, ARPA Lombardia,
Milano, 2005.
Faggian, P.: Climate change projection for Mediterranean Region with focus
over Alpine region and Italy, J. Environ. Sci. Eng., 4, 482–500, https://doi.org/10.17265/2162-5263/2015.09.004, 2015.
Frattini, P., Crosta, G., and Sosio, R.: Approaches for defining thresholds
and return periods for rainfall-triggered shallow landslides, Hydrol. Process., 23, 1444–1460, https://doi.org/10.1002/hyp.7269, 2009.
Gao, L., Zhang, L. M., and Cheung, R. W. M.: Relationships between natural
terrain landslide magnitudes and triggering rainfall based on a large
landslide inventory in Hong Kong, Landslides, 15, 727–740,
https://doi.org/10.1007/s10346-017-0904-x, 2018.
Gao, Y., Chen, N., Hu, G., and Deng, M.: Magnitude-frequency relationship of
debris flows in the Jiangjia Gully, China, J. Mount. Sci., 16, 1289–1299, https://doi.org/10.1007/s11629-018-4877-6, 2019.
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate, Earth-Sci. Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011, 2016.
Godson, W. L.: A new tendency equation and its application to the analysis of surface pressure changes, J. Meteorol., 5, 227–235, 1948.
Grazzini, F.: Predictability of a large-scale flow conducive to extreme
precipitation over the western Alps, Meteorol. Atmos. Phys., 95, 123–138, https://doi.org/10.1007/s00703-006-0205-8, 2007.
Grazzini, F. and Vitart, F.: Atmospheric predictability and Rossby wave packets, Q. J. Roy. Meteorol. Soc., 141, 2793–2802, https://doi.org/10.1002/qj.2564, 2015.
Gutenberg, B. and Richter, C. F.: Frequency of earthquakes in California,
Bull. Seismol. Soc. Am., 34, 185–188, 1944.
Guzzetti, F., Reichenbach, P., Cardinali, M., Galli, M., and Ardizzone, F.:
Probabilistic landslide hazard assessment at the basin scale, Geomorphology,
72, 272–299, https://doi.org/10.1016/j.geomorph.2005.06.002, 2005.
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C. P.: Rainfall thresholds for the initiation of landslides in central and southern Europe,
Meteorol. Atmos. Phys., 98, 239–267, https://doi.org/10.1007/s00703-007-0262-7, 2007.
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C. P.: The rainfall
intensity–duration control of shallow landslides and debris flows: an update, Landslides, 5, 3–17, https://doi.org/10.1007/s10346-007-0112-1, 2008.
Ibsen, M.-L. and Casagli, N.: Rainfall patterns and related landslide incidence in the Porretta-Vergato region, Italy, Landslides, 1, 143–150,
https://doi.org/10.1007/s10346-004-0018-0, 2004.
Iida, T.: Theoretical research on the relationship between return period of
rainfall and shallow landslides, Hydrol. Process., 18, 739–756, https://doi.org/10.1002/hyp.1264, 2004.
ISPRA: Inventario Fenomeni Franosi, available at:
http://www.isprambiente.gov.it/it/progetti/suolo-e-territorio-1/iffi-inventario-dei-fenomeni-franosi-in-italia (last access: 1 April 2021), 2018a.
ISPRA: Dissesto idrogeologico in Italia: pericolosità e indicatori di
rischio, ISPRA, Ispra, 2018b.
Iverson, R. M.: Landslide triggering by rain infiltration, Water Resour. Res., 36, 1897–1910, https://doi.org/10.1029/2000WR900090, 2000.
Jie, T., Zhang, B., He, C., and Yang, L.: Variability In Soil Hydraulic
Conductivity And Soil Hydrological Response Under Different Land Covers In
The Mountainous Area Of The Heihe River Watershed, Northwest China, Land
Degrad. Dev., 28, 1437–1449, https://doi.org/10.1002/ldr.2665, 2016.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang,
J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-Year Reanalysis Project, B. Am. Meteorol. Soc., 77, 437–472,
https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2, 1996.
Kim, S. W., Chun, K. W., Kim, M., Catani, F., Choi, B., and Seo, J. I.:
Effect of antecedent rainfall conditions and their variations on shallow
landslide-triggering rainfall thresholds in South Korea, Landslides, 18, 569–582, https://doi.org/10.1007/s10346-020-01505-4, 2021.
Lazzari, M., Piccarreta, M., and Manfreda, S.: The role of antecedent soil moisture conditions on rainfall-triggered shallow landslides, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2018-371, 2018.
Longoni, L., Papini, M., Arosio, D., and Zanzi, L.: On the definition of
rainfall thresholds for diffuse landslides, Trans. State Art Sci. Eng., 53, 27–41, https://doi.org/10.2495/978-1-84564-650-9/03, 2011.
Longoni, L., Papini, M., Arosio, D., Zanzi, L., and Brambilla, D.: A new
geological model for Spriana landslide, Bull. Eng. Geol. Environ., 73, 959–970, https://doi.org/10.1007/s10064-014-0610-z, 2014.
Longoni, L., Ivanov, V. I., Brambilla, D., Radice, A., and Papini, M.:
Analysis of the temporal and spatial scales of soil erosion and transport in
a Mountain Basin, Ital. J. Eng. Geol. Environ., 16, 17–30, https://doi.org/10.4408/IJEGE.2016-02.O-02, 2016.
Malamud, B. D., Turcotte, D. L., Guzzetti, F., and Reichenbach, P.: Landslide inventories and their statistical properties, Earth Surf. Proc. Land., 29, 687–711, https://doi.org/10.1002/esp.1064, 2004.
Martin, J. E.: Mid-Latitude Atmosphere Dynamics, Wiley, Chichester, West
Sussex, England, 2006.
MeteoCiel: Observations, Prévisions, Modèles en temps réel, available at: https://www.meteociel.fr/ (last access: 1 April 2021), 2020.
Montrasio, L.: Stability of soil-slip, Risk Anal., 45, 357–366, https://doi.org/10.2495/RISK000331, 2000.
Montrasio, L. and Valentino, R.: Modelling Rainfall-induced Shallow Landslides at Different Scales Using SLIP – Part II, Proced. Eng., 158, 482–486, https://doi.org/10.1016/j.proeng.2016.08.476, 2016.
Moreiras, S., Vergara Dal Pont, I., and Araneo, D.: Were merely storm-landslides driven by the 2015–2016 Niño in the Mendoza River
valley?, Landslides, 15, 997–1014, https://doi.org/10.1007/s10346-018-0959-3, 2018.
NOAA: National Center for Environmental Information, available at: https://www.ncei.noaa.gov/, last access: 1 April 2021.
Olivares, L., Damiano, E., Mercogliano, P., Picarelli, L., Netti, N.,
Schiano, P., Savastano, V., Cotroneo, F., and Manzi, M. P.: A simulation
chain for early prediction of rainfall-induced landslides, Landslides, 11,
765–777, https://doi.org/10.1007/s10346-013-0430-4, 2014.
Ozturk, U., Tarakegn, Y., Longoni, L., Brambilla, D., Papini, M., and Jensen, J.: A simplified early-warning system for imminent landslide prediction based on failure index fragility curves developed through numerical analysis, Geomat. Nat. Hazards Risk, 7, 1406–1425, https://doi.org/10.1080/19475705.2015.1058863, 2015.
Ozturk, U., Wendi, D., Crisologo, I., Riemer, A., Agarwal, A., Vogel, K.,
López-Tarazón, J. A., and Korup, O.: Rare flash floods and debris
flows in southern Germany, Sci. Total Environ., 626, 941–952, https://doi.org/10.1016/j.scitotenv.2018.01.172, 2018.
Papini, M., Ivanov, V., Brambilla, D., Arosio, D., and Longoni, L.:
Monitoring bedload sediment transport in a pre-Alpine river: An experimental
method, Rendiconti Online della Società Geologica Italiana, 43, 57–63,
https://doi.org/10.3301/ROL.2017.35, 2017.
Peres, D. J., Cancelliere, A., Greco, R., and Bogaard, T. A.: Influence of
uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds, Nat. Hazards Earth Syst. Sci., 18, 633–646, https://doi.org/10.5194/nhess-18-633-2018, 2018.
Peruccacci, S., Brunetti, M. T., Gariano, S. L., Melillo, M., Rossi, M., and
Guzzetti, F.: Rainfall thresholds for possible landslide occurrence in Italy, Geomorphology, 290, 39–57, https://doi.org/10.1016/j.geomorph.2017.03.031, 2017.
Piciullo, L., Gariano, S. L., Melillo, M., Brunetti, M. T., Peruccacci, S.,
Guzzetti, F., and Calvello, M.: Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides, Landslides, 14, 995–1008, https://doi.org/10.1007/s10346-016-0750-2, 2017.
Ralph, F. M., Neiman, P. J., and Wick, G. A.: Satellite and CALJET Aircraft
Observations of Atmospheric Rivers over the Eastern North Pacific Ocean during the Winter of 1997/98, Mon. Weather Rev., 132, 1721–1745,
https://doi.org/10.1175/1520-0493(2004)132<1721:SACAOO>2.0.CO;2, 2004.
Rappelli, F.: Definizione delle soglie pluviometriche d'innesco frane
superficiali e colate torrentizie: accorpamento per aree omogenee, IRER –
Istituto Regionale di Ricerca della Lombardia, Milano, 2008.
Reid, L. and Page, M. J.: Magnitude and frequency of landsliding in a large
New Zealand catchment, Geomorphology, 49, 71–88, https://doi.org/10.1016/S0169-555X(02)00164-2, 2003.
Ronchetti, F., Borgatti, L., Cervi, F., C, G., Piccinini, L., Vincenzi, V.,
and Alessandro, C.: Groundwater processes in a complex landslide, northern
Apennines, Italy, Nat. Hazards Earth Syst. Sci., 9, 895–904,
https://doi.org/10.5194/nhess-9-895-2009, 2009.
Rosi, A., Peternel, T., Jemec-Auflič, M., Komac, M., Segoni, S., and
Casagli, N.: Rainfall thresholds for rainfall-induced landslides in Slovenia, Landslides, 13, 1571–1577, https://doi.org/10.1007/s10346-016-0733-3, 2016.
Rossi, M., Peruccacci, S., Brunetti, M., Marchesini, I., Luciani, S., Ardizzone, F., Balducci, V., Bianchi, C., Cardinali, M., Fiorucci, F., Mondini, A., Paola, R., Salvati, P., Santangelo, M., Bartolini, D., Gariano,
S. L., Palladino, M., Vessia, G., Viero, A., Tonelli, G., Antronico, L.,
Borselli, L., Deganutti, A. M., Iovine, G., Luino, F., Parise, M., Polemio,
M., and Guzzetti, F.: SANF: National warning system for rainfall-induced
landslides in Italy, edited by: Eberhardt, E., Froese, C., Turner, A. K., and Lerouil, S., Landslides and Engineered Slopes, in: Protecting Society through
Improved Understanding, Proceedings 11th Int. Symp. Landslides, 3–8 June 2012, Banff, Canada, 1895–1899, https://doi.org/10.13140/2.1.4857.9527, 2012.
Rossi, M., Guzzetti, F., Salvati, P., Donnini, M., Napolitano, E., and Bianchi, C.: A predictive model of societal landslide risk in Italy, Earth-Sci. Rev., 196, 102849, https://doi.org/10.1016/j.earscirev.2019.04.021, 2019.
Rosso, R., Rulli, M. C., and Vannucchi, G.: A physically based model for the
hydrologic control on shallow landsliding, Water Resour. Res., 42, W06410, https://doi.org/10.1029/2005WR004369, 2006.
Rotunno, R. and Houze, R.: Lessons on orographic precipitation for the Mesoscale Alpine Programme, Q. J. Roy. Meteorol. Soc., 133, 811–830, https://doi.org/10.1002/qj.67, 2007.
Sanders, F. and Gyakum, J. R.: Synoptic-Dynamic Climatology of the “Bomb”,
Mon. Weather Rev., 108, 1589–1606,
https://doi.org/10.1175/1520-0493(1980)108<1589:SDCOT>2.0.CO;2, 1980.
SCIA: Sistema Nazionale per l'elaborazione e diffusione di dati climatici, available at: http://www.scia.isprambiente.it (last access: 1 April 2021), 2020.
Segoni, S., Rossi, G., Rosi, A., and Catani, F.: Landslides triggered by
rainfall: A semi-automated procedure to define consistent intensity–duration thresholds, Comput. Geosci., 63, 123–131, https://doi.org/10.1016/j.cageo.2013.10.009, 2014.
Sistema Informativo sulle Catastrofi idrogeologiche: available at: http://sici.irpi.cnr.it/ (last access: 1 April 2021), 2020.
Stull, R. B.: Practical Meteorology: An Algebra-based Survey of Atmospheric
Science, University of British Columbia, Vancouver, Canada, 2017.
Tropeano, D.: Inondazioni e frane in Lombardia: un problema storico, in:
Utilizzo dei dati storici per la determinazione delle aree esondabili nelle
zone alpine, CNR-IRPI, Torino, 47–109, 1997.
Vessia, G., Parise, M., Brunetti, M. T., Peruccacci, S., Rossi, M., Vennari,
C., and Guzzetti, F.: Automated reconstruction of rainfall events responsible for shallow landslides, Nat. Hazards Earth Syst. Sci., 14, 2399–2408, https://doi.org/10.5194/nhess-14-2399-2014, 2014.
Vessia, G., Pisano, L., Vennari, C., Rossi, M., and Parise, M.: Mimic expert
judgement through automated procedure for selecting rainfall events responsible for shallow landslide: A statistical approach to validation,
Comput. Geosci., 86, 146–153, https://doi.org/10.1016/j.cageo.2015.10.015, 2016.
Wallace, J. M. and Hobbs, P. V.: Atmospheric Science: an introductory survey, Elsevier, Oxford, 2006.
Xiao, L., Wang, J., Zhu, Y., and Zhang, J.: Quantitative Risk Analysis of a
Rainfall-Induced Complex Landslide in Wanzhou County, Three Gorges
Reservoir, China, Int. J. Disast. Risk Sci., 11, 347–363, https://doi.org/10.1007/s13753-020-00257-y, 2020.
Short summary
In this paper the relation between the intensity of meteorological events and the magnitude of triggered geo-hydrological issues was examined. A back analysis was developed across a region of the central Alps. The meteorological triggers were interpreted using two approaches: the first using local rain gauge data and a new one considering meteorological reanalysis maps. The results obtained were compared and elaborated for defining a magnitude of each geo-hydrological event.
In this paper the relation between the intensity of meteorological events and the magnitude of...
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