Articles | Volume 18, issue 6
https://doi.org/10.5194/nhess-18-1735-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-18-1735-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jun 2018
Research article |
| 22 Jun 2018
| 22 Jun 2018
Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity
Massimiliano Bordoni
CORRESPONDING AUTHOR
Department of Earth and Environmental Sciences, University of Pavia,
Pavia, 27100, Italy
M. Giuseppina Persichillo
Department of Earth and Environmental Sciences, University of Pavia,
Pavia, 27100, Italy
Claudia Meisina
Department of Earth and Environmental Sciences, University of Pavia,
Pavia, 27100, Italy
Stefano Crema
Research Institute for Geo-Hydrological Protection, National Research
Council, Padova, 35127, Italy
Marco Cavalli
Research Institute for Geo-Hydrological Protection, National Research
Council, Padova, 35127, Italy
Carlotta Bartelletti
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
Yuri Galanti
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
Michele Barsanti
Department of Civil and Industrial Engineering, University of Pisa,
Pisa, 56126, Italy
Roberto Giannecchini
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
Giacomo D'Amato Avanzi
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
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This manuscript defines a reliable methodology for shallow landslides triggering zones assessment at site-specific or local scales by using a well-established physically based model (TRIGRS-unsaturated) based on the calibration of the model at slope scale using soil hydrological behavior analyzed through a continuous field monitoring. Moreover, the paper analyzes the effects on triggering zones assessment of taking into account for different unit mapping of the slope soils of a studied area.
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Debris-flow research requires experimental data that are difficult to collect because of the intrinsic characteristics of these hazardous processes. This paper presents debris-flow data recorded in the Moscardo Torrent (Italian Alps) between 1990 and 2019. In this time interval, 30 debris flows were observed. The paper presents data on triggering rainfall, flow velocity, peak discharge, and volume for the monitored hydrographs.
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Roberta Bonì, Claudia Meisina, Pietro Teatini, Francesco Zucca, Claudia Zoccarato, Andrea Franceschini, Pablo Ezquerro, Marta Béjar-Pizarro, José A. Fernández-Merodo, Carolina Guardiola-Albert, José L. Pastor, Roberto Tomás, and Gerardo Herrera
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The potential of the integrated use of A-DInSAR data and 3D groundwater flow and geomechanical models to capture and assess aquifer dynamics is performed. The approach has been applied to investigate the response during and after pumping of a portion of the Madrid aquifer. The short time delay (about one month) between the groundwater pumping and the system response (land displacements) are likely due to a minor role played by the clayey layers.
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In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The procedure was tested using different sensors such as ERS-1/2, ENVISAT, COSMO-SkyMed and Sentinel-1 over an area of about 500 km2 in the Venetian-Friulian coastal Plain (NE Italy). The resulting mapping allows to detect priority areas where to address further in situ investigations such as to verify the presence of localized buried landforms.
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Nat. Hazards Earth Syst. Sci., 18, 1–13, https://doi.org/10.5194/nhess-18-1-2018, https://doi.org/10.5194/nhess-18-1-2018, 2018
Sebastiano Trevisani and Marco Cavalli
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The generalization of the concept of roughness implies the need to refer to a family of roughness indices capturing specific aspects of surface morphology. We test the application of a flow-oriented directional measure of roughness based on the geostatistical index MAD (median of absolute directional differences), computed considering gravity-driven flow direction. The use of flow-directional roughness improves geomorphometric modeling and the interpretation of landscape morphology.
R. Bonì, G. Herrera, C. Meisina, D. Notti, M. Béjar-Pizarro, F. Zucca, P. J. González, M. Palano, R. Tomás, J. Fernández, J. A. Fernández-Merodo, J. Mulas, R. Aragón, C. Guardiola-Albert, and O. Mora
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Multi-sensor advanced DInSAR analyses have been performed, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (>10 cm/yr-) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level).
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A methodology based on Persistent Scatterer Interferometry (PSI) is proposed in order to disentangle the contribution of different processes that act at different spatio-temporal scales in land subsidence (i.e. vadose zone processes as swelling/shrinkage of clay soils, soil consolidation and fluid extraction). The methodology was applied in different Italian geological contexts characterized by natural and anthropic processes (i.e. a Prealpine valley and the Po Plain in northern Italy).
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A testing field for debris flow Early Warning Systems (EWSs) has been equipped in the Gadria basin (eastern Italian Alps). The installation is conceived to produce didactic videos and host informative visits. The populace involvement and education is an essential step in hazard mitigation interventions and it should be planned during any research activity on that topic. In the summer of 2014, the occurrence of a debris flow in the Gadria creek allowed for a first test of a geophone-based EWS.
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M. Dell'Aringa, R. Giannecchini, and A. Puccinelli
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Lessons learnt from a rockfall time series analysis: data collection, statistical analysis, and applications
The concept of event-size-dependent exhaustion and its application to paraglacial rockslides
Coastal earthquake-induced landslide susceptibility during the 2016 Mw 7.8 Kaikōura earthquake, New Zealand
Characteristics of debris flows recorded in the Shenmu area of central Taiwan between 2004 and 2021
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Nat. Hazards Earth Syst. Sci., 24, 1–12, https://doi.org/10.5194/nhess-24-1-2024, https://doi.org/10.5194/nhess-24-1-2024, 2024
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Dividing landscapes into hillslopes greatly improves predictions of landslide potential across landscapes, but their scaling is often arbitrarily set and can require significant computing power to delineate. Here, we present a new computer program that can efficiently divide landscapes into meaningful slope units scaled to best capture landslide processes. The results of this work will allow an improved understanding of landslide potential and can help reduce the impacts of landslides worldwide.
Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 23, 3805–3821, https://doi.org/10.5194/nhess-23-3805-2023, https://doi.org/10.5194/nhess-23-3805-2023, 2023
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The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the lowest number of missed and false alarms. The ensemble approach allowed the estimation of the associated prediction uncertainty.
Xushan Shi, Bo Chai, Juan Du, Wei Wang, and Bo Liu
Nat. Hazards Earth Syst. Sci., 23, 3425–3443, https://doi.org/10.5194/nhess-23-3425-2023, https://doi.org/10.5194/nhess-23-3425-2023, 2023
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A 3D stability analysis method is proposed for biased rockfall with external erosion. Four failure modes are considered according to rockfall evolution processes, including partial damage of underlying soft rock and overall failure of hard rock blocks. This method is validated with the biased rockfalls in the Sichuan Basin, China. The critical retreat ratio from low to moderate rockfall susceptibility is 0.33. This method could facilitate rockfall early identification and risk mitigation.
Marius Schneider, Nicolas Oestreicher, Thomas Ehrat, and Simon Loew
Nat. Hazards Earth Syst. Sci., 23, 3337–3354, https://doi.org/10.5194/nhess-23-3337-2023, https://doi.org/10.5194/nhess-23-3337-2023, 2023
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Rockfalls and their hazards are typically treated as statistical events based on rockfall catalogs, but only a few complete rockfall inventories are available today. Here, we present new results from a Doppler radar rockfall alarm system, which has operated since 2018 at a high frequency under all illumination and weather conditions at a site where frequent rockfall events threaten a village and road. The new data set is used to investigate rockfall triggers in an active rockslide complex.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
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Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi
Nat. Hazards Earth Syst. Sci., 23, 3079–3093, https://doi.org/10.5194/nhess-23-3079-2023, https://doi.org/10.5194/nhess-23-3079-2023, 2023
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The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Stefan Hergarten
Nat. Hazards Earth Syst. Sci., 23, 3051–3063, https://doi.org/10.5194/nhess-23-3051-2023, https://doi.org/10.5194/nhess-23-3051-2023, 2023
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Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Colin K. Bloom, Corinne Singeisen, Timothy Stahl, Andrew Howell, Chris Massey, and Dougal Mason
Nat. Hazards Earth Syst. Sci., 23, 2987–3013, https://doi.org/10.5194/nhess-23-2987-2023, https://doi.org/10.5194/nhess-23-2987-2023, 2023
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Landslides are often observed on coastlines following large earthquakes, but few studies have explored this occurrence. Here, statistical modelling of landslides triggered by the 2016 Kaikōura earthquake in New Zealand is used to investigate factors driving coastal earthquake-induced landslides. Geology, steep slopes, and shaking intensity are good predictors of landslides from the Kaikōura event. Steeper slopes close to the coast provide the best explanation for a high landslide density.
Yi-Min Huang
Nat. Hazards Earth Syst. Sci., 23, 2649–2662, https://doi.org/10.5194/nhess-23-2649-2023, https://doi.org/10.5194/nhess-23-2649-2023, 2023
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Debris flows are common hazards in Taiwan, and debris-flow early warning is important for disaster responses. The rainfall thresholds of debris flows are analyzed and determined in terms of rainfall intensity, accumulated rainfall, and rainfall duration, based on case histories in Taiwan. These thresholds are useful for disaster management, and the cases in Taiwan are useful for global debris-flow databases.
Li-Ru Luo, Zhi-Xiang Yu, Qi Wang, Li-Jun Zhang, Lin-Xu Liao, and Li Peng
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-136, https://doi.org/10.5194/nhess-2023-136, 2023
Revised manuscript accepted for NHESS
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Field investigations were done on a rockfall near Jiguanshan National Forest Park, Chengdu. Vital information was presumed from UAV survey. A FEM model, including the barrier and rocks, was created to reproduce the damage evolution. It was found that the impact kinetic energy was below the design protection energy. The improper member connections prevent the barrier from producing significant deformation to absorb energy. Damages are avoided by improving the nets’ and ropes’ ability to slide.
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.
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
EGUsphere, https://doi.org/10.5194/egusphere-2023-28, https://doi.org/10.5194/egusphere-2023-28, 2023
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We developed three rock bridge models to analyze 3D stability and deformation behaviors of the Tizicao landslide. We found that the CSM-HSP combines the advantages of the IRMM model in simulating the actual deformation of slopes with rock bridges and the modeling advantage of the JM model. The research results are helpful to choose an appropriate rock bridge model to simulate the 3D landslide stability and to reveal the influence laws of rock bridges on the 3D stability of landslides.
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.
Srikrishnan Siva Subramanian, Piyush Srivastava, Ali Pulpadan Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-297, https://doi.org/10.5194/nhess-2022-297, 2023
Revised manuscript accepted for NHESS
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Rainfall intensity-duration (ID) thresholds can aid in the prediction of natural disasters. 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 model (WRF) with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
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.
Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141, https://doi.org/10.5194/nhess-22-3125-2022, https://doi.org/10.5194/nhess-22-3125-2022, 2022
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Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Anne Felsberg, Jean Poesen, Michel Bechtold, Matthias Vanmaercke, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 22, 3063–3082, https://doi.org/10.5194/nhess-22-3063-2022, https://doi.org/10.5194/nhess-22-3063-2022, 2022
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In this study we assessed global landslide susceptibility at the coarse 36 km spatial resolution of global satellite soil moisture observations to prepare for a subsequent combination of the two. Specifically, we focus therefore on the susceptibility of hydrologically triggered landslides. We introduce ensemble techniques, common in, for example, meteorology but not yet in the landslide community, to retrieve reliable estimates of the total prediction uncertainty.
Txomin Bornaetxea, Ivan Marchesini, Sumit Kumar, Rabisankar Karmakar, and Alessandro Mondini
Nat. Hazards Earth Syst. Sci., 22, 2929–2941, https://doi.org/10.5194/nhess-22-2929-2022, https://doi.org/10.5194/nhess-22-2929-2022, 2022
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One cannot know if there is a landslide or not in an area that one has not observed. This is an obvious statement, but when landslide inventories are obtained by field observation, this fact is seldom taken into account. Since fieldwork campaigns are often done following the roads, we present a methodology to estimate the visibility of the terrain from the roads, and we demonstrate that fieldwork-based inventories are underestimating landslide density in less visible areas.
Katy Burrows, Odin Marc, and Dominique Remy
Nat. Hazards Earth Syst. Sci., 22, 2637–2653, https://doi.org/10.5194/nhess-22-2637-2022, https://doi.org/10.5194/nhess-22-2637-2022, 2022
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The locations of triggered landslides following a rainfall event can be identified in optical satellite images. However cloud cover associated with the rainfall means that these images cannot be used to identify landslide timing. Timings of landslides triggered during long rainfall events are often unknown. Here we present methods of using Sentinel-1 satellite radar data, acquired every 12 d globally in all weather conditions, to better constrain the timings of rainfall-triggered landslides.
Feiko Bernard van Zadelhoff, Adel Albaba, Denis Cohen, Chris Phillips, Bettina Schaefli, Luuk Dorren, and Massimiliano Schwarz
Nat. Hazards Earth Syst. Sci., 22, 2611–2635, https://doi.org/10.5194/nhess-22-2611-2022, https://doi.org/10.5194/nhess-22-2611-2022, 2022
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Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard and the impact of protective measures can reduce losses. We developed a model (SlideforMAP) that can assess the shallow-landslide risk on a regional scale for specific rainfall events. Trees are an effective and cheap protective measure on a regional scale. Our model can assess their hazard reduction down to the individual tree level.
Chuxuan Li, Alexander L. Handwerger, Jiali Wang, Wei Yu, Xiang Li, Noah J. Finnegan, Yingying Xie, Giuseppe Buscarnera, and Daniel E. Horton
Nat. Hazards Earth Syst. Sci., 22, 2317–2345, https://doi.org/10.5194/nhess-22-2317-2022, https://doi.org/10.5194/nhess-22-2317-2022, 2022
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In January 2021 a storm triggered numerous debris flows in a wildfire burn scar in California. We use a hydrologic model to assess debris flow susceptibility in pre-fire and postfire scenarios. Compared to pre-fire conditions, postfire conditions yield dramatic increases in peak water discharge, substantially increasing debris flow susceptibility. Our work highlights the hydrologic model's utility in investigating and potentially forecasting postfire debris flows at regional scales.
Saskia de Vilder, Chris Massey, Biljana Lukovic, Tony Taig, and Regine Morgenstern
Nat. Hazards Earth Syst. Sci., 22, 2289–2316, https://doi.org/10.5194/nhess-22-2289-2022, https://doi.org/10.5194/nhess-22-2289-2022, 2022
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This study calculates the fatality risk posed by landslides while visiting Franz Josef Glacier and Fox Glacier valleys, New Zealand, for nine different scenarios, where the variables of the risk equation were adjusted to determine the range in risk values and associated uncertainty. The results show that it is important to consider variable inputs that change through time, such as the increasing probability of an earthquake and the impact of climate change on landslide characteristics.
Cited articles
Ayalew, L. and Yamagishi, H.: The application of GIS-based logistic
regression for landslide susceptibility mapping in the Kakuda-Yahiko
Mountains, Central Japan, Geomorphology, 65, 12–31,
https://doi.org/10.1016/j.geomorph.2004.06.010, 2005.
Bai, S. B., Wang, J., Lu, G. N., Zhou, P. G., Hou, S. S., and Xu, S. N.:
Gis-based logistic regression fro landslide susceptibility mapping of the
Zhongxian segment in the Three Gorges area, China, Geomorphology, 115,
23–31, https://doi.org/10.1016/j.geomorph.2009.09.025, 2010.
Bathurst, J. C., Burton, A., and Ward, T. J.: Debris flow run-out and
landslide sediment delivery model test, J. Hydraul. Eng., 123, 410–419,
https://doi.org/10.1061/(ASCE)0733-9429(1997)123:5(410), 1997.
Begueria, S.: Changes in land cover and shallow landslide activity: a case
study in the Spanish Pyrenees, Geomorphology, 74, 196–206,
https://doi.org/10.1016/j.geomorph.2005.07.018, 2006.
Belsley, D. A., Kuh, E., and Welsch, R. E. (Eds.): Regression diagnostics:
identifying influential data and sources of collinearity, John Wiley and
Sons, New York, USA, 1980.
Bil, M., Kubecek, J., and Andrasik, R.: An epidemiological approach to
determining the risk of road damage due to landslides, Nat. Hazards, 73,
1323–1335, https://doi.org/10.1007/s11069-014-1141-4, 2014.
Bil, M., Andrasik, R., Kubecek, J., Krivankova, Z., and Vodak, R.: RUPOK: An
online landslide risk tool for road networks, in: Advancing culture of living
with landslides, edited by: Mikos, M., Vilimek, V., Yin, Y., and Sassa, K.,
Springer, Cham, 19–26, 2017.
Bordoni, M., Meisina, C., Valentino, R., Bittelli, M., and Chersich, S.:
Site-specific to local-scale shallow landslides triggering zones assessment
using TRIGRS, Nat. Hazards Earth Syst. Sci., 15, 1025–1050,
https://doi.org/10.5194/nhess-15-1025-2015, 2015.
Borselli, L., Cassi, P., and Torri, D.: Prolegomena to sediment and flow
connectivity in the landscape: a GIS and field numerical assessment, Catena,
75, 268–277, https://doi.org/10.1016/j.catena.2008.07.006, 2008.
Brenning, A., Schwinn, M., Ruiz-Páez, A. P., and Muenchow, J.: Landslide
susceptibility near highways is increased by 1 order of magnitude in the
Andes of southern Ecuador, Loja province, Nat. Hazards Earth Syst. Sci., 15,
45–57, https://doi.org/10.5194/nhess-15-45-2015, 2015.
Budetta, P.: Assessment of rockfall risk along roads, Nat. Hazards Earth
Syst. Sci., 4, 71–81, https://doi.org/10.5194/nhess-4-71-2004, 2004.
Catani, F., Lagomarsino, D., Segoni, S., and Tofani, V.: Landslide
susceptibility estimation by random forests technique: sensitivity and
scaling issues, Nat. Hazards Earth Syst. Sci., 13, 2815–2831,
https://doi.org/10.5194/nhess-13-2815-2013, 2013.
Cavalli, M. and Marchi, L.: Characterisation of the surface morphology of an
alpine alluvial fan using airborne LiDAR, Nat. Hazards Earth Syst. Sci., 8,
323–333, https://doi.org/10.5194/nhess-8-323-2008, 2008.
Cavalli, M., Tarolli, P., Marchi, L., and Dalla Fontana, G.: The
effectiveness of airborne LiDAR data in the recognition of channel-bed
morphology, Catena, 73, 249–260, https://doi.org/10.1016/j.catena.2007.11.001, 2008.
Cavalli, M., Trevisani, S., Comiti, F., and Marchi, L.: Geomorphometric
assessment of spatial sediment connectivity in small alpine catchments,
Geomorphology, 188, 31–41, https://doi.org/10.1016/j.geomorph.2012.05.007, 2013.
Cevasco, A., Pepe, G., and Brandolini, P.: The influences of geological and
land-use settings on shallow landslides triggered by an intense rainfall
event in a coastal terraced environment, B. Eng. Geol. Environ., 73,
859–875, https://doi.org/10.1007/s10064-013-0544-x, 2014.
Chau, K. T., Sze, Y. L., Fung, M. K., Wong, W. Y., Fong, E. L., and Chan, L.
C. P.: Landslide hazard analysis for Hong Kong using landslide inventory and
GIS, Comp. Geosci., 30, 429–443, https://doi.org/10.1016/j.cageo.2003.08.013, 2004.
Chen, Z. and Wang, J.: Landslide hazard mapping using logistic regression
model in Mackenzie Valley, Canada, Nat. Hazards, 42, 75–89,
https://doi.org/10.1007/s11069-006-9061-6, 2007.
Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L.,
Wehberg, J., Wichmann, V., and Böhner, J.: System for Automated
Geoscientific Analyses (SAGA) v. 2.1.4, Geosci. Model Dev., 8, 1991–2007,
https://doi.org/10.5194/gmd-8-1991-2015, 2015.
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., Hervas,
J., and Smith, J. T.: Recommendations for the quantitative analysis of
landslide risk, B. Eng. Geol. Environ., 73, 209–263,
https://doi.org/10.1007/s10064-013-0538-8 2014.
Crema, S. and Cavalli, M.: SedInConnect: A stand-alone, free and open source
tool for the assessment of sediment connectivity, Comp. Geosci., 111, 39–45,
https://doi.org/10.1016/j.cageo.2017.10.009, 2018.
Cruden, D. M. and Varnes, D. J.: Landslide types and processes, in:
Landslides: investigation and mitigation, edited by: Turner, A. K. and
Schuster, R. L., National Academy Press, Washington, D.C., 36–75, 1996.
Dai, F. C. and Lee, C. F.: Landslide characteristics and slope instability
modeling using GIS, Lantau Island, Hong Kong, Geomorphology, 42, 213–228,
https://doi.org/10.1016/S0169-555X(01)00087-3, 2002.
Dai, F. C., Lee, C. F., and Ngai, Y. Y.: Landslide risk assessment and
management: an overview, Eng. Geol., 64, 65–87,
https://doi.org/10.1016/S0013-7952(01)00093-X, 2002.
D'Amato Avanzi, G., Galanti, Y., Giannecchini, R., and Puccinelli, A.:
Fragility of territory and infrastructures resulting from rainstorms in
Northern Tuscany (Italy), in: Landslide science and practice, Vol. 6, edited
by: Margottini, C., Canuti, P., and Sassa, K., Springer-Verlag Berlin
Heidelberg, 239–246, 2013.
Donnini, M., Napolitano, E., Salvati, P., Ardizzone, F., Bucci, F., Fiorucci,
F., Santangelo, M., Cardinali, M., and Guzzetti, F.: Impact of event
landslides on road networks: a statistical analysis of two Italian case
studies, Landslides, 14, 1521–1535, https://doi.org/10.1007/s10346-017-0829-4, 2017.
Fan, L., Lehmann, P., McArdell, B., and Or, D.: Linking rainfall-induced
landslides with debris flows runout patterns towards catchment scale hazard
assessment, Geomorphology, 280, 1–15, https://doi.org/10.1016/j.geomorph.2016.10.007,
2017.
Fannin, R. and Wise, M.: An empirical-statistical model for debris flow
travel distance, Can. Geotech. J., 38, 982–994, https://doi.org/10.1139/t01-030, 2001.
Farrar, D. E. and Glauber, R. R.: Multicollinearity in regression analysis:
the problem revisited, Rev. Econ. Stat., 49, 92–107, https://doi.org/10.2307/1937887,
1967.
Fasolini, D: La cartografia dell'uso e copertura del suolo: uno strumento per rilevare il cambiamento del territorio lombardo, Ri-Vista, 1–2, 76–87, 2014.
Fathani, T. F., Legono, D., and Karnawati, D.: A numerical model for the
analysis of rapid landslide motion, Geotech. Geol. Eng., 35, 2253–2268,
https://doi.org/10.1007/s10706-017-0241-9, 2017.
Foerster, S., Wilczok, C., Brosinsky, A., and Segl, K.: Assessment of
sediment connectivity from vegetation cover and topography using remotely
sensed data in a dryland catchment in the Spanish Pyrenees, J. Soils
Sediments, 14, 1982–2000, https://doi.org/10.1007/s11368-014-0992-3, 2014.
Fryirs, K. A., Brierley, G. J., Preston, N. J., and Kasai, M.: Buffers,
barriers and blankets: the (dis)connectivity of catchment-scale sediment
cascades, Catena, 70, 49–67, https://doi.org/10.1016/j.catena.2006.07.007, 2007.
Fu, B. J., Zhang, Q. J., Chen, L. D., Zhao, W. W., Gulinck, H., Liu, G. B.,
Yang, Q. K., and Zhu, Y. G.: Temporal change in land use and its relationship
to slope degree and soil type in a small catchment on the Loess Plateau of
China, Catena, 65, 41–48, https://doi.org/10.1016/j.catena.2005.07.005, 2006.
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,
https://doi.org/10.1007/s10346-014-0478-9, 2015.
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.
Gay, A., Cerdan, O., Mardhel, V., and Desmet, M.: Application of an index of
sediment connectivity in a lowland area, J. Soils Sediments, 16, 280–293,
https://doi.org/10.1007/s11368-015-1235-y, 2015.
Glade, T.: Landslide occurrence as a response to land use change: a review of
evidence from New Zealand, Catena, 51, 297–314,
https://doi.org/10.1016/S0341-8162(02)00170-4, 2003.
Goetz, J. N., Guthrie, R. H., and Brenning, A.: Integrating physical and
empirical landslide susceptibility models using generalized additive models,
Geomorphology, 129, 376–386, https://doi.org/10.1016/j.geomorph.2011.03.001, 2011.
Guzzetti, F., Galli, M., Reichenbach, P., Ardizzone, F., and Cardinali, M.:
Landslide hazard assessment in the Collazzone area, Umbria, Central Italy,
Nat. Hazards Earth Syst. Sci., 6, 115–131,
https://doi.org/10.5194/nhess-6-115-2006, 2006.
Hastie, T.: gam: Generalized Additive Models, R package version 1.08,
available at: http://CRAN.R-project.org/package=gam, last access: 29
August 2013.
Hastie, T. J. and Tibshirani, R. (Eds.): Generalized additive models, Chapman
& Hall, London, UK, 1990.
Hearn, G., Hunt, T., Aubert, J., and Howell, J.: Landslide impacts on the
road network of Lao PDR and the feasibility of implementing a slope
management programme, South East Asia Community Access Programme (SEACAP),
Department for International Development, UK, 2008.
Hosmer, D. W. and Lemeshow, S.: Applied logistic regression, Wiley, New York,
USA, 2000.
Hungr, O.: A model for the runout analysis of rapid flow slides, debris
flows, and avalanches, Can. Geotech. J., 32, 610–623, https://doi.org/10.1139/t95-063,
1995.
Jaiswal, P., Van Westen, C. J., and Jetten, V.: Quantitative landslide hazard
assessment along a transportation corridor in southern India, Eng. Geol.,
116, 236–250, https://doi.org/10.1016/j.enggeo.2010.09.005, 2010a.
Jaiswal, P., van Westen, C. J., and Jetten, V.: Quantitative assessment of
direct and indirect landslide risk along transportation lines in southern
India, Nat. Hazards Earth Syst. Sci., 10, 1253–1267,
https://doi.org/10.5194/nhess-10-1253-2010, 2010b.
Jaiswal, P., Van Westen, C. J., and Jetten, V.: Quantitative assessment of
landslide hazard along transportation lines using historical records,
Landslides, 8, 279–291, https://doi.org/10.1007/s10346-011-0252-1, 2011.
Jenks, G. F.: The data model concept in statistical mapping, Int. Year.
Cart., 7, 186–190, 1967.
Jia, G., Yuan, T., Liu, Y., and Zhang, Y.: A static and dynamic
factors-coupled forecasting model or regional rainfall induced landslides: a
case study of Shenzhen, Sci. China Ser. E., 51, 164–175, 2008.
Jollifee, I. T. and Stephenson, D. B. (Eds.): Forecast verification: A
practitioner's guide in atmospheric science, John Wiley and Sons, New York,
USA, 2003.
Kalantari, Z., Cavalli, M., Cantone, C., Crema, S., and Destouni, G.: Flood
probability quantification for road infrastructure: Data-driven
spatial-statistical approach and case study applications, Sci. Total
Environ., 581–582, 386–398, https://doi.org/10.1016/j.scitotenv.2016.12.147, 2017.
Klose, M., Damm, B., and Terhorstet, B.: Landslide cost modeling for
transportation infrastructures: a methodological approach, Landslides, 12,
321–334, https://doi.org/10.1007/s10346-014-0481-1, 2015.
Klose, M., Auerbach, M., Herrmann, C., Kumerics, C., and Gratzki, A.:
Landslide hazards and climate change adaptation of transport infrastructures
in Germany, in: Advancing culture of living with landslides, edited by:
Mikos, M., Vilimek, V., Yin, Y., and Sassa, K., Springer, Cham, 535–541,
2017.
Kritikos, T. and Davies, T.: Assessment of rainfall-generated shallow
landslide/debris-flow susceptibility and runout using a GIS-based approach:
application to western Southern Alps of New Zealand, Landslides, 12,
1051–1075, https://doi.org/10.1007/s10346-014-0533-6, 2015.
Lieskovsky, L. and Kenderessy, P.: Modelling the effect of vegetation cover
and different tillage practices on soil erosion in vineyards: a case study in
Vrable (Slovakia) using WATEM/SEDEM, Land Degrad. Dev., 25, 188–196,
https://doi.org/10.1002/ldr.2162, 2014.
Lopez-Vicente, M., Poesen, J., Navas, A., and Gaspar, L.: Predicting runoff
and sediment connectivity and soil erosion by water for different land use
scenarios in the Spanish Pre-Pyrenees, Catena, 102, 62–73,
https://doi.org/10.1016/j.catena.2011.01.001, 2013.
Lopez-Vicente, M., Nadal-Romero, E., and Cammeraat, E. L. H.: Hydrological
connectivity does change over 70 years of abandonment and afforestation in
the Spanish Pyrenees, Land Degrad. Dev., 28, 1298–1310,
https://doi.org/10.1002/ldr.2531, 2016.
Maindonald, J. and Braun, W. J. (Eds.): Data analysis and graphics using R:
an example based approach, Cambridge Series in Statistical and Probabilistic
Mathematics, Cambridge, UK, 2010.
Martinovic, K., Gavin, K., and Reale, C.: Development of a landslide
susceptibility assessment for a rail network, Eng. Geol., 215, 1–9,
https://doi.org/10.1016/j.enggeo.2016.10.011, 2016.
Martinovic, K., Gavin, K., Reale, C., and Mangan, C.: Rainfall thresholds as
a landslide indicator for engineered slopes on the Irish Rail network,
Geomorphology, 306, 40–50, https://doi.org/10.1016/j.geomorph.2018.01.006, 2018.
Matulla, C., Hollsi, B., Andre, K., Gringinger, J., Chimani, B., Namyslo, J.,
Fuchs, T., Auerbach, M., Herrmann, C., Sladek, B., Berghold, H., Gschier, R.,
and Eichinger-Vill, E.: Climate Change driven evolution of hazards to
Europe's transport infrastructure throughout the twenty-first century, Theor.
Appl. Climatol., https://doi.org/10.1007/s00704-017-2127-4, 2017.
McLachlan, G. J. (Ed.): Discriminant analysis and statistical pattern
recognition, John Wiley & Sons, New York, USA, 1992.
Michaelides, S.: Vulnerability of transportation to extreme weather and
climate change, Nat. Hazards, 72, 1–4, https://doi.org/10.1007/s11069-013-0975-5, 2014.
Michoud, C., Derron, M.-H., Horton, P., Jaboyedoff, M., Baillifard, F.-J.,
Loye, A., Nicolet, P., Pedrazzini, A., and Queyrel, A.: Rockfall hazard and
risk assessments along roads at a regional scale: example in Swiss Alps, Nat.
Hazards Earth Syst. Sci., 12, 615–629,
https://doi.org/10.5194/nhess-12-615-2012, 2012.
Molinaro, A. M., Simon, R., and Pfeiffer, R. M.: Prediction error estimation:
a comparison of resampling methods, Bioinformatics, 21, 3301–3307, https://doi.org/10.1093/bioinformatics/bti499, 2005.
Muenchow, J., Brenning, A., and Richter, M.: Geomorphic process rates of
landslides along a humidity gradient in the tropical Andes, Geomorphology,
139, 271–284, https://doi.org/10.1016/j.geomorph.2011.10.029, 2012.
Nemry, F. and Demirel, H.: Impacts of Climate Change on transport: a focus on
road and rail transport infrastructures. Publications Office of the European
Union, Luxembourg, Luxembourg, 93 pp., 2012.
Olaya, V.: A gentle introduction to SAGA GIS, Edition 1.1 – Rev. 9 December,
216 pp., 2004.
Pastor, M., Blanc, T., Haddad, B., Petrone, S., Sanchez Morles, M.,
Drempetic, V., Issler, D., Crosta, G. B., Cascini, L., Sorbino, G., and
Cuomo, S.: Application of a SPH depth-integrated model to landslide run-out
analysis, Landslides, 11, 793–812, https://doi.org/10.1007/s10346-014-0484-y, 2014.
Pellicani, R., Argentiero, I., and Spilotro, G.: GIS-based predictive models
for regional-scale landslide susceptibility assessment and risk mapping along
road corridors, Geomat. Nat. Haz. Risk, 8, 1012–1033,
https://doi.org/10.1080/19475705.2017.1292411, 2017.
Penna, D., Borga, M., Aronica, G. T., Brigandì, G., and Tarolli, P.: The
influence of grid resolution on the prediction of natural and road-related
shallow landslides, Hydrol. Earth Syst. Sci., 18, 2127–2139,
https://doi.org/10.5194/hess-18-2127-2014, 2014.
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, 2017a.
Persichillo, M. G., Bordoni, M., Meisina, C., Bartelletti, C., Barsanti, M.,
Giannecchini, R., D'Amato Avanzi, G., Galanti, Y., Cevasco, A., Brandolini,
P., and Galve, J. P.: Shallow landslides susceptibility assessment in
different environments, Geomat. Nat. Haz. Risk, 8, 748–771,
https://doi.org/10.1080/19475705.2016.1265011, 2017b.
Persichillo, M. G., Bordoni, M., Cavalli, M., Crema, S., and Meisina, C.: The
role of human activities on sediment connectivity of shallow landslides,
Catena, 160, 261–274, https://doi.org/10.1016/j.catena.2017.09.025, 2018.
Petschko, H., Brenning, A., Bell, R., Goetz, J., and Glade, T.: Assessing the
quality of landslide susceptibility maps – case study Lower Austria, Nat.
Hazards Earth Syst. Sci., 14, 95–118,
https://doi.org/10.5194/nhess-14-95-2014, 2014.
Phillips, J. D.: Sources of nonlinearity and complexity in geomorphic
systems, Prog. Phys. Geogr., 27, 1–23, https://doi.org/10.1191/0309133303pp340ra, 2003.
Phillips, J. D.: Evolutionary geomorphology: thresholds and nonlinearity in
landform response to environmental change, Hydrol. Earth Syst. Sci., 10,
731–742, https://doi.org/10.5194/hess-10-731-2006, 2006.
Postance, B., Hillier, J., Dijkstra, T., and Dixon, N.: Extending natural
hazard impacts: an assessment of landslide disruptions on a national road
transportation network, Environ. Res. Lett., 12, 14010,
https://doi.org/10.1088/1748-9326/aa5555, 2017.
Prosdocimi, M., Cerdà, A., and Tarolli, P.: Soil water erosion on
Mediterranean vineyards: A review, Catena, 141, 1–21,
https://doi.org/10.1016/j.catena.2016.02.010, 2016.
Quinn, P., Beven, K., Chevallier, P., and Planchon, O.: The prediction of
hillslope flow paths for distributed hydrological modelling using digital
terrain models, Hydrol. Process., 5, 59–79, https://doi.org/10.1002/hyp.3360050106,
1991.
Quinn, P. E., Hutchinson, D. J., Diederichs, M. S., and Rowe, R. K.:
Regional-scale landslide susceptibility mapping using the weights of evidence
method: an example applied to linear infrastructure, Can. Geotech. J., 47,
905–927, https://doi.org/10.1139/T09-144, 2010.
Ramesh, V. and Anbazhagan, S.: Landslide susceptibility mapping along Kolli
hills Ghat road section (India) using frequency ratio, relative effect and
fuzzy logic models, Environ. Earth Sci., 73, 8009–8021,
https://doi.org/10.1007/s12665-014-3954-6, 2015.
Reichenbach, P., Busca, C., 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.
Rural Police Regulation: Regolamento di Polizia Rurale, Comune di Canneto
Pavese, Italy, 17 pp., 2008.
Salvati, P., Bianchi, C., Fiorucci, F., Giostrella, P., Marchesini, I., and
Guzzetti, F.: Perception of flood and landslide risk in Italy: a preliminary
analysis, Nat. Hazards Earth Syst. Sci., 14, 2589–2603,
https://doi.org/10.5194/nhess-14-2589-2014, 2014.
Seibert, J. and McGlynn, B. L.: A new triangular multiple flow direction
algorithm for computing upslope areas from gridded digital elevation models,
Water Resour. Res., 43, W04501, https://doi.org/10.1029/2006WR005128, 2007.
Seibert, J., Stendahl, J., and Sorensen, R.: Topographical influences on soil
properties in boreal forests, Geoderma, 141, 139–148,
https://doi.org/10.1016/j.geoderma.2007.05.013, 2007.
Sidle, R. C. and Ochiai, H.: Landslides: Processes, prediction, and land use,
Water Resources Monograph, AGU, Washington D.C., 2006.
Sidle, R. C., Ghestem, M., and Stokes, A.: Epic landslide erosion from
mountain roads in Yunnan, China – challenges for sustainable development,
Nat. Hazards Earth Syst. Sci., 14, 3093–3104,
https://doi.org/10.5194/nhess-14-3093-2014, 2014.
Spitalnic, S.: Test properties 2: likelihood ratios, Bayes' formula, and
receiver operating characteristic curves, Hosp. Physician, 40, 53–58, 2004.
Strauch, R. L., Raymond, C. L., Rochefort, R. M., Hamlet, A. F., and Lauver,
C.: Adapting transportation to climate change on federal lands in Washington
State, U.S.A, Climatic Change, 130, 185–199, https://doi.org/10.1007/s10584-015-1357-7,
2015.
Surian, N., Righini, M., Lucia, A., Nardi, L., Amponsah, W., Benvenuti, M.,
Borga, M., Cavalli, M., Comiti, F., Marchi, L., Rinaldi, M., and Viero, A.:
Channel response to extreme floods: Insights on controlling factors from six
mountain rivers in northern Apennines, Italy, Geomorphology, 272, 78–91,
https://doi.org/10.1016/j.geomorph.2016.02.002, 2016.
Tarolli, P. and Sofia, G.: Human topographic signatures and derived
geomorphic processes across landscapes, Geomorphology, 255, 140–161,
https://doi.org/10.1016/j.geomorph.2015.12.007, 2016.
Tarolli, P., Calligaro, S., Cazorzi, F., and Dalla Fontana, G.: Recognition
of surface flow processes influenced by roads and trails in mountain areas
using high-resolution topography, Eur. J. Remote Sens., 46, 176–197,
https://doi.org/10.5721/EuJRS20134610, 2013.
Tarolli, P., Preti, F., and Romano, N.: Terraced landscapes: from an old best
practice to a potential hazard for soil degradation due to land abandonment,
Anthropocene, 6, 10–25, https://doi.org/10.1016/j.ancene.2014.03.002, 2014.
Tarolli, P., Sofia, G., Calligaro, S., Prosdocimi, M., Preti, F., and Dalla
Fontana, G.: Vineyards in terraced landscapes: New opportunities from LIDAR
data, Land Degrad. Dev., 26, 92–102, https://doi.org/10.1002/ldr.2311, 2015.
Tiranti, D., Cavalli, M., Crema, S., Zerbato, M., Graziadei, M., Barbero, S.,
Cremonini, R., Silvestro, C., Bodrato, G., and Tresso, F.: Semi-quantitative
method for the assessment of debris supply from slopes to river in ungauged
catchments, Sci. Total Environ., 554–555, 337–348,
https://doi.org/10.1016/j.scitotenv.2016.02.150, 2016.
Van Westen, C. J., Asch T. W. J., and Soeters, R.: Landslide hazard and risk
zonation – why is it still so difficult?, B. Eng. Geol. Environ., 65,
67–184, 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. (Ed.): Landslide hazard zonation – a review of principles and
practice, UNESCO, Paris, France, 1984.
Vercesi, P. and Scagni, G.: Osservazioni sui depositi conglomeratici dello
sperone collinare di Stradella, Rendiconti della Società Geologica
Italiana, 7, 23–26, 1984.
Winchell, M. F., Jackson, S. H., Wadley, A. M., and Srinivasan, R.: Extension
and validation of a geographic information system-based method for
calculating the revised universal soil loss equation length-slop factor for
erosion risk assessments in large watersheds, J. Soil Water Conserv., 63,
105–111, 2008.
Winter, M. G., Shearer, B., Palmer, D., Peeling, D., Harmer, C., and Sharpe
J.: The economic impact of landslides and floods on the road network,
Procedia Eng., 143, 1425–1434, https://doi.org/10.1016/j.proeng.2016.06.168, 2016.
Zaffaroni, P.: Confronto fra CLC 2006 e DUSAF 2.1 della Regione Lombardia,
9–12 November 2010, ASITA, Brescia, 2010.
Wischmeier, W. H. and Smith, D. D.: Predicting rainfall erosion losses: a
guide to conservation planning with Universal Soil Loss Equation (USLE), in:
Agriculture Handbook, No. 703, Department of Agriculture, Washington, D. C.,
1978.
Zezere, J. L., Oliveira, S. C., Garcia, R. A. C., and Reis, E.: Landslide
risk analysis in the area North of Lisbon (Portugal): evaluation of direct
and indirect costs resulting from a motorway disruption by slope movements,
Landslides, 4, 123–136, https://doi.org/10.1007/s10346-006-0070-z, 2007.
Zevenbergen, L. W. and Thorne, C. R.: Quantitative analysis of land surface
topography, Earth Surf. Proc. Land., 12, 47–56,
https://doi.org/10.1002/esp.3290120107, 1987.
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
This paper aimed to develop and test a data-driven model for the identification of road sectors that are susceptible to be hit by shallow landslides triggered in slopes upstream of infrastructure. Most susceptible road traits were those located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. The results of the susceptibility analysis can give asset managers indispensable information on the relative criticality of the different roads.
This paper aimed to develop and test a data-driven model for the identification of road sectors...
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