Articles | Volume 22, issue 8
https://doi.org/10.5194/nhess-22-2611-2022
© Author(s) 2022. 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-22-2611-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Aug 2022
Research article |
| 15 Aug 2022
Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations
Feiko Bernard Zadelhoff
CORRESPONDING AUTHOR
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
Adel Albaba
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
Denis Cohen
CoSci LLC, Placitas, NM 87043, USA
Chris Phillips
Manaaki Whenua – Landcare Research, Lincoln, New Zealand
Bettina Schaefli
Institute of Geography (GIUB) & Oeschger Centre for Climate Change Research (OCCR), University of Bern, 3012 Bern, Switzerland
Luuk Dorren
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
International EcorisQ Association, P.O. Box 2348, 1211 Geneva 2, Switzerland
Massimiliano Schwarz
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
International EcorisQ Association, P.O. Box 2348, 1211 Geneva 2, Switzerland
Related authors
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Tom Müller, Matteo Roncoroni, Davide Mancini, Stuart N. Lane, and Bettina Schaefli
EGUsphere, https://doi.org/10.5194/egusphere-2022-1503, https://doi.org/10.5194/egusphere-2022-1503, 2023
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We investigate the role of a newly formed floodplain in an alpine glaciated catchment to store and release water. Based on field measurements, we built a numerical model to simulate the water fluxes and show that recharge occurs mainly due to the ice-melt fed river. We identify 3 future floodplains, which could emerge from glacier retreat and show that their combined storage lead to some additional groundwater storage but contribute to little additional baseflow for the downstream river.
Adrià Fontrodona-Bach, Bettina Schaefli, Ross Woods, Adriaan J. Teuling, and Joshua R. Larsen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-31, https://doi.org/10.5194/essd-2023-31, 2023
Preprint under review for ESSD
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We provide a dataset of snow water equivalent, the depth of liquid water that results from melting a given depth of snow. The dataset contains 11,071 sites over the Northern Hemisphere, spans the period 1950–2022, and is based on daily observations of snow depth on the ground and a model. The dataset fills a lack of accessible historical ground snow data, and it can be used for a variety of applications such as the impact of climate change on global and regional snow and water resources.
Tom Müller, Stuart N. Lane, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 26, 6029–6054, https://doi.org/10.5194/hess-26-6029-2022, https://doi.org/10.5194/hess-26-6029-2022, 2022
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This research provides a comprehensive analysis of groundwater storage in Alpine glacier forefields, a zone rapidly evolving with glacier retreat. Based on data analysis of a case study, it provides a simple perceptual model showing where and how groundwater is stored and released in a high Alpine environment. It especially points out the presence of groundwater storages in both fluvial and bedrock aquifers, which may become more important with future glacier retreat.
Alessio Gentile, Davide Canone, Natalie Ceperley, Davide Gisolo, Maurizio Previati, Giulia Zuecco, Bettina Schaefli, and Stefano Ferraris
EGUsphere, https://doi.org/10.5194/egusphere-2022-921, https://doi.org/10.5194/egusphere-2022-921, 2022
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What drives the young water fraction (i.e. the fraction of water in streamflow younger than roughly 2–3 months) variations with elevation? Why is Fyw counterintuitively low in high-elevation catchments, in spite of steeper topography compared with lower elevations? In this paper it is shown how the long duration of the snowpack favors the groundwater contribution to streamflow, thus increasing the streamwater age. A dataset of 27 Swiss and Italian catchments between 472 and 3049 m asl is used.
Alexandre Tuel, Bettina Schaefli, Jakob Zscheischler, and Olivia Martius
Hydrol. Earth Syst. Sci., 26, 2649–2669, https://doi.org/10.5194/hess-26-2649-2022, https://doi.org/10.5194/hess-26-2649-2022, 2022
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River discharge is strongly influenced by the temporal structure of precipitation. Here, we show how extreme precipitation events that occur a few days or weeks after a previous event have a larger effect on river discharge than events occurring in isolation. Windows of 2 weeks or less between events have the most impact. Similarly, periods of persistent high discharge tend to be associated with the occurrence of several extreme precipitation events in close succession.
Stefan Brönnimann, Peter Stucki, Jörg Franke, Veronika Valler, Yuri Brugnara, Ralf Hand, Laura C. Slivinski, Gilbert P. Compo, Prashant D. Sardeshmukh, Michel Lang, and Bettina Schaefli
Clim. Past, 18, 919–933, https://doi.org/10.5194/cp-18-919-2022, https://doi.org/10.5194/cp-18-919-2022, 2022
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Floods in Europe vary on time scales of several decades. Flood-rich and flood-poor periods alternate. Recently floods have again become more frequent. Long time series of peak stream flow, precipitation, and atmospheric variables reveal that until around 1980, these changes were mostly due to changes in atmospheric circulation. However, in recent decades the role of increasing atmospheric moisture due to climate warming has become more important and is now the main driver of flood changes.
Moctar Dembélé, Mathieu Vrac, Natalie Ceperley, Sander J. Zwart, Josh Larsen, Simon J. Dadson, Grégoire Mariéthoz, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 26, 1481–1506, https://doi.org/10.5194/hess-26-1481-2022, https://doi.org/10.5194/hess-26-1481-2022, 2022
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Climate change impacts on water resources in the Volta River basin are investigated under various global warming scenarios. Results reveal contrasting changes in future hydrological processes and water availability, depending on greenhouse gas emission scenarios, with implications for floods and drought occurrence over the 21st century. These findings provide insights for the elaboration of regional adaptation and mitigation strategies for climate change.
Adrien Michel, Bettina Schaefli, Nander Wever, Harry Zekollari, Michael Lehning, and Hendrik Huwald
Hydrol. Earth Syst. Sci., 26, 1063–1087, https://doi.org/10.5194/hess-26-1063-2022, https://doi.org/10.5194/hess-26-1063-2022, 2022
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This study presents an extensive study of climate change impacts on river temperature in Switzerland. Results show that, even for low-emission scenarios, water temperature increase will lead to adverse effects for both ecosystems and socio-economic sectors throughout the 21st century. For high-emission scenarios, the effect will worsen. This study also shows that water seasonal warming will be different between the Alpine regions and the lowlands. Finally, efficiency of models is assessed.
Anthony Michelon, Natalie Ceperley, Harsh Beria, Joshua Larsen, Torsten Vennemann, and Bettina Schaefli
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-48, https://doi.org/10.5194/hess-2022-48, 2022
Revised manuscript accepted for HESS
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Hydrological processes in high elevation catchments are largely influenced by snow accumulation and melt. For this work, we collected and analyzed more than 2800 water samples (temperature, electric conductivity and stable isotopes of water) to characterize the hydrological processes in such Alpine environment. Our results underline the critical role of subsurface flow during all melt periods and the presence of snowmelt even during the winter periods.
Luuk Dorren, Frédéric Berger, Franck Bourrier, Nicolas Eckert, Charalampos Saroglou, Massimiliano Schwarz, Markus Stoffel, Daniel Trappmann, Hans-Heini Utelli, and Christine Moos
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-32, https://doi.org/10.5194/nhess-2022-32, 2022
Publication in NHESS not foreseen
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In the daily practice of rockfall hazard analysis, trajectory simulations are used to delimit runout zones. To do so, the expert needs to separate "realistic" from "unrealistic" simulated groups of trajectories. This is often done on the basis of reach probability values. This paper provides a basis for choosing a reach probability threshold value for delimiting the rockfall runout zone, based on recordings and simulations of recent rockfall events at 18 active rockfall sites in Europe.
Anthony Michelon, Lionel Benoit, Harsh Beria, Natalie Ceperley, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 25, 2301–2325, https://doi.org/10.5194/hess-25-2301-2021, https://doi.org/10.5194/hess-25-2301-2021, 2021
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Rainfall observation remains a challenge, particularly in mountain environments. Unlike most studies which are model based, this analysis of the rainfall–runoff response of a 13.4 km2 alpine catchment is purely data based and relies on measurements from a network of 12 low-cost rain gauges over 3 months. It assesses the importance of high-density rainfall observations in informing hydrological processes and helps in designing a permanent rain gauge network.
Elvira Mächler, Anham Salyani, Jean-Claude Walser, Annegret Larsen, Bettina Schaefli, Florian Altermatt, and Natalie Ceperley
Hydrol. Earth Syst. Sci., 25, 735–753, https://doi.org/10.5194/hess-25-735-2021, https://doi.org/10.5194/hess-25-735-2021, 2021
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In this study, we collected water from an Alpine catchment in Switzerland and compared the genetic information of eukaryotic organisms conveyed by eDNA with the hydrologic information conveyed by naturally occurring hydrologic tracers. At the intersection of two disciplines, our study provides complementary knowledge gains and identifies the next steps to be addressed for using eDNA to achieve complementary insights into Alpine water sources.
Aaron Micallef, Remus Marchis, Nader Saadatkhah, Potpreecha Pondthai, Mark E. Everett, Anca Avram, Alida Timar-Gabor, Denis Cohen, Rachel Preca Trapani, Bradley A. Weymer, and Phillipe Wernette
Earth Surf. Dynam., 9, 1–18, https://doi.org/10.5194/esurf-9-1-2021, https://doi.org/10.5194/esurf-9-1-2021, 2021
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We study coastal gullies along the Canterbury coast of New Zealand using field observations, sample analyses, drones, satellites, geophysical instruments and modelling. We show that these coastal gullies form when rainfall intensity is higher than 40 mm per day. The coastal gullies are formed by landslides where buried channels or sand lenses are located. This information allows us to predict where coastal gullies may form in the future.
Anna E. Sikorska-Senoner, Bettina Schaefli, and Jan Seibert
Nat. Hazards Earth Syst. Sci., 20, 3521–3549, https://doi.org/10.5194/nhess-20-3521-2020, https://doi.org/10.5194/nhess-20-3521-2020, 2020
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This work proposes methods for reducing the computational requirements of hydrological simulations for the estimation of very rare floods that occur on average less than once in 1000 years. These methods enable the analysis of long streamflow time series (here for example 10 000 years) at low computational costs and with modelling uncertainty. They are to be used within continuous simulation frameworks with long input time series and are readily transferable to similar simulation tasks.
Moctar Dembélé, Bettina Schaefli, Nick van de Giesen, and Grégoire Mariéthoz
Hydrol. Earth Syst. Sci., 24, 5379–5406, https://doi.org/10.5194/hess-24-5379-2020, https://doi.org/10.5194/hess-24-5379-2020, 2020
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This study evaluates 102 combinations of rainfall and temperature datasets from satellite and reanalysis sources as input to a fully distributed hydrological model. The model is recalibrated for each input dataset, and the outputs are evaluated with streamflow, evaporation, soil moisture and terrestrial water storage data. Results show that no single rainfall or temperature dataset consistently ranks first in reproducing the spatio-temporal variability of all hydrological processes.
Harsh Beria, Joshua R. Larsen, Anthony Michelon, Natalie C. Ceperley, and Bettina Schaefli
Geosci. Model Dev., 13, 2433–2450, https://doi.org/10.5194/gmd-13-2433-2020, https://doi.org/10.5194/gmd-13-2433-2020, 2020
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We develop a Bayesian mixing model to address the issue of small sample sizes to describe different sources in hydrological mixing applications. Using composite likelihood functions, the model accounts for an often overlooked bias arising due to unweighted mixing. We test the model efficacy using a series of statistical benchmarking tests and demonstrate its real-life applicability by applying it to a Swiss Alpine catchment to obtain the proportion of groundwater recharged from rain vs. snow.
Anthony Michelon, Lionel Benoit, Harsh Beria, Natalie Ceperley, and Bettina Schaefli
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-683, https://doi.org/10.5194/hess-2019-683, 2020
Manuscript not accepted for further review
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Rainfall observation remains a challenge particularly in mountain environments. Unlike most studies which are model based, this analysis of the rainfall-runoff response of a 13.4 km2 alpine catchment is purely data-based and rely on measures from a network of 12 low-cost raingauges over 3 months. It assesses the importance of high-density rainfall observations to inform hydrological processes and help to design a permanent raingauge network.
Adrien Michel, Tristan Brauchli, Michael Lehning, Bettina Schaefli, and Hendrik Huwald
Hydrol. Earth Syst. Sci., 24, 115–142, https://doi.org/10.5194/hess-24-115-2020, https://doi.org/10.5194/hess-24-115-2020, 2020
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This study constitutes the first comprehensive analysis of river
temperature in Switzerland combined with discharge and key meteorological variables, such as air temperature and precipitation. It is also the first study to discuss the large-scale seasonal behaviour of stream temperature in Switzerland. This research shows the clear increase of river temperature in Switzerland over the last few decades and may serve as a solid reference for future climate change scenario simulations.
Adel Albaba, Massimiliano Schwarz, Corinna Wendeler, Bernard Loup, and Luuk Dorren
Nat. Hazards Earth Syst. Sci., 19, 2339–2358, https://doi.org/10.5194/nhess-19-2339-2019, https://doi.org/10.5194/nhess-19-2339-2019, 2019
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We present a discrete-element-based model which is adapted and used to produce hillslope debris flows. The model parameters were calibrated using field experiments, and a very good agreement was found in terms of pressure and flow velocity. Calibration results suggested that a link might exist between the model parameters and the initial conditions of the granular material. However, to better understand this link, further investigations are required by conducting detailed lab-scale experiments.
Elvira Mächler, Anham Salyani, Jean-Claude Walser, Annegret Larsen, Bettina Schaefli, Florian Altermatt, and Natalie Ceperley
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-551, https://doi.org/10.5194/hess-2019-551, 2019
Revised manuscript not accepted
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We explored what genetic material collected from water (eDNA) tells us about the flow of mountain streams, which are particularly valuable for habitat and water resources, but highly variable. We saw that when flow increased, more diverse eDNA was transported, especially in the main channel and tributaries. Whereas in the springs, we saw more diverse eDNA when the electrical conductivity of the water increased, likely indicating more underground surface contact.
Denis Cohen, Fabien Gillet-Chaulet, Wilfried Haeberli, Horst Machguth, and Urs H. Fischer
The Cryosphere, 12, 2515–2544, https://doi.org/10.5194/tc-12-2515-2018, https://doi.org/10.5194/tc-12-2515-2018, 2018
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As part of an integrative study about the safety of repositories for radioactive waste under ice age conditions in Switzerland, we modeled the flow of ice of the Rhine glacier at the Last Glacial Maximum to determine conditions at the ice–bed interface. Results indicate that portions of the ice lobes were at the melting temperature and ice was sliding, two conditions necessary for erosion by glacier. Conditions at the bed of the ice lobes were affected by climate and also by topography.
Ana Clara Santos, Maria Manuela Portela, Andrea Rinaldo, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 22, 2377–2389, https://doi.org/10.5194/hess-22-2377-2018, https://doi.org/10.5194/hess-22-2377-2018, 2018
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This paper assesses the performance of an analytical modeling framework for probability distributions for summer streamflow of 25 Swiss catchments that present a wide range of hydroclimatic regimes, including snow- and icemelt-influenced streamflows. Two versions of the model were tested: linear and nonlinear. The results show that the model performs well for summer discharges under all analyzed regimes and that model performance varies with mean catchment elevation.
Massimiliano Schwarz, Filippo Giadrossich, Peter Lüscher, and Peter F. Germann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-761, https://doi.org/10.5194/hess-2017-761, 2018
Preprint withdrawn
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Vegetation strongly influences the hydrology of hillslopes that are important for the mitigation of flood risks. In this work we present a new conceptual model that aims to link the effect of tree roots combined to the preferential flow of water. We use data from field experiments, coupled to tree position and dimension for the quantification of water preferential flow patches of a vegetated hillslope, considering topography and soil profile characteristics.
Denis Cohen and Massimiliano Schwarz
Earth Surf. Dynam., 5, 451–477, https://doi.org/10.5194/esurf-5-451-2017, https://doi.org/10.5194/esurf-5-451-2017, 2017
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Tree roots reinforce soils on slopes. A new slope stability model is presented that computes root reinforcement including the effects of root heterogeneities and dependence of root strength on tensile and compressive strain. Our results show that roots stabilize slopes that would otherwise fail under a rainfall event. Tension in roots is more effective than compression. Redistribution of forces in roots across the hillslope plays a key role in the stability of the slope during rainfall events.
Christine Moos, Luuk Dorren, and Markus Stoffel
Nat. Hazards Earth Syst. Sci., 17, 291–304, https://doi.org/10.5194/nhess-17-291-2017, https://doi.org/10.5194/nhess-17-291-2017, 2017
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The goal of this study was to quantify the effect of forests on the occurrence frequency and intensity of rockfalls. This was done based on 3-D rockfall simulations for different forest and non-forest scenarios on a virtual slope. The rockfall frequency and intensity below forested slopes is significantly reduced. Statistical models provide information on how specific forest and terrain parameters influence this reduction and they allow prediction and quantification of the forest effect.
A. Gallice, B. Schaefli, M. Lehning, M. B. Parlange, and H. Huwald
Hydrol. Earth Syst. Sci., 19, 3727–3753, https://doi.org/10.5194/hess-19-3727-2015, https://doi.org/10.5194/hess-19-3727-2015, 2015
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This study presents a new model to estimate the monthly mean stream temperature of ungauged rivers over multiple years in an Alpine country. Contrary to the other approaches developed to date, which are usually based on standard regression techniques, our model makes use of the understanding that we have about the physics controlling stream temperature. On top of its accuracy being comparable to that of the other models, it can be used to gain some knowledge about the stream temperature dynamics
F. Giadrossich, M. Niedda, D. Cohen, and M. Pirastru
Hydrol. Earth Syst. Sci., 19, 2451–2468, https://doi.org/10.5194/hess-19-2451-2015, https://doi.org/10.5194/hess-19-2451-2015, 2015
B. Schaefli, L. Nicótina, C. Imfeld, P. Da Ronco, E. Bertuzzo, and A. Rinaldo
Geosci. Model Dev., 7, 2733–2746, https://doi.org/10.5194/gmd-7-2733-2014, https://doi.org/10.5194/gmd-7-2733-2014, 2014
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This paper presents the Spatially Explicit Hydrologic Response of the Laboratory of Ecohydrology of the Ecole Polytechnique Fédérale de Lausanne for hydrologic simulation at the catchment scale. It simulates the mobilization of water at the subcatchment scale and the transport to the outlet through a convolution with the river network. We discuss the parameter estimation and model performance for discharge simulation in the high Alpine Dischmabach catchment (Switzerland).
M. Schwarz, F. Giadrossich, and D. Cohen
Hydrol. Earth Syst. Sci., 17, 4367–4377, https://doi.org/10.5194/hess-17-4367-2013, https://doi.org/10.5194/hess-17-4367-2013, 2013
Related subject area
Landslides and Debris Flows Hazards
Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data
Instantaneous limit equilibrium back analyses of major rockslides triggered during the 2016–2017 central Italy seismic sequence
Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
Multi-event assessment of typhoon-triggered landslide susceptibility in the Philippines
Antecedent rainfall as a critical factor for the triggering of debris flows in arid regions
Sensitivity analysis of a built environment exposed to the synthetic monophasic viscous debris flow impacts with 3-D numerical simulations
Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo)
Spatio-temporal analysis of slope-type debris flow activity in Horlachtal, Austria, based on orthophotos and lidar data since 1947
Assessing the relationship between weather conditions and rockfall using terrestrial laser scanning to improve risk management
Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data
Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria)
Brief communication on the NW Himalayan towns; slipping towards potential disaster
Debris-flow surges of a very active alpine torrent: a field database
Brief communication: An autonomous UAV for catchment-wide monitoring of a debris flow torrent
How volcanic stratigraphy constrains headscarp collapse scenarios: the Samperre cliff case study (Martinique island, Lesser Antilles)
Landslide susceptibility assessment in the rocky coast subsystem of Essaouira, Morocco
Landsifier v1.0: a Python library to estimate likely triggers of mapped landslides
Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments
Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda
Earthquake-induced landslides in Haiti: analysis of seismotectonic and possible climatic influences
Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya
Physically based modeling of co-seismic landslide, debris flow, and flood cascade
Finite-hillslope analysis of landslides triggered by excess pore water pressure: the roles of atmospheric pressure and rainfall infiltration during typhoons
Estimating global landslide susceptibility and its uncertainty through ensemble modeling
Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)
Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding
Augmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scars
What drives landslide risk? Disaggregating risk analyses, an example from the Franz Josef Glacier and Fox Glacier valleys, New Zealand
Geographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, China
Spatial assessment of probable recharge areas – investigating the hydrogeological controls of an active deep-seated gravitational slope deformation
Dynamic response and breakage of trees subject to a landslide-induced air blast: Implications for air blasts risk assessment in mountainous regions
Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes
Quantification of meteorological conditions for rockfall triggers in Germany
Debris flow velocity and volume estimations based on seismic data
Integration of observed and model-derived groundwater levels in landslide threshold models in Rwanda
Landslides caught on seismic networks and satellite radars
Variable hydrograph inputs for a numerical debris-flow runout model
Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)
Brief communication: Introducing rainfall thresholds for landslide triggering based on artificial neural networks
Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
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Multiscale effects caused by the fracturing and fragmentation of rock blocks during rock mass movement: implications for rock avalanche propagation
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Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping
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A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event
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Main Ethiopian Rift landslides formed in contrasting geological settings and climatic conditions
Carlos Millán-Arancibia and Waldo Lavado-Casimiro
Nat. Hazards Earth Syst. Sci., 23, 1191–1206, https://doi.org/10.5194/nhess-23-1191-2023, https://doi.org/10.5194/nhess-23-1191-2023, 2023
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This study is the first approximation of regional rainfall thresholds for shallow landslide occurrence in Peru. This research was generated from a gridded precipitation data and landslide inventory. The analysis showed that the threshold based on the combination of mean daily intensity–duration variables gives the best results for separating rainfall events that generate landslides. Through this work the potential of thresholds for landslide monitoring at the regional scale is demonstrated.
Luca Verrucci, Giovanni Forte, Melania De Falco, Paolo Tommasi, Giuseppe Lanzo, Kevin W. Franke, and Antonio Santo
Nat. Hazards Earth Syst. Sci., 23, 1177–1190, https://doi.org/10.5194/nhess-23-1177-2023, https://doi.org/10.5194/nhess-23-1177-2023, 2023
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Stability analyses in static and seismic conditions were performed on four rockslides that occurred during the main shocks of the 2016–2017 central Italy seismic sequence. These results also indicate that specific structural features of the slope must carefully be accounted for in evaluating potential hazards on transportation infrastructures in mountainous regions.
Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
Nat. Hazards Earth Syst. Sci., 23, 1157–1175, https://doi.org/10.5194/nhess-23-1157-2023, https://doi.org/10.5194/nhess-23-1157-2023, 2023
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The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
Joshua N. Jones, Georgina L. Bennett, Claudia Abancó, Mark A. M. Matera, and Fibor J. Tan
Nat. Hazards Earth Syst. Sci., 23, 1095–1115, https://doi.org/10.5194/nhess-23-1095-2023, https://doi.org/10.5194/nhess-23-1095-2023, 2023
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We modelled where landslides occur in the Philippines using landslide data from three typhoon events in 2009, 2018, and 2019. These models show where landslides occurred within the landscape. By comparing the different models, we found that the 2019 landslides were occurring all across the landscape, whereas the 2009 and 2018 landslides were mostly occurring at specific slope angles and aspects. This shows that landslide susceptibility must be considered variable through space and time.
Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093, https://doi.org/10.5194/nhess-23-1079-2023, https://doi.org/10.5194/nhess-23-1079-2023, 2023
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Debris flows represent a threat to infrastructure and the population. In arid areas, they are observed when heavy rainfall hits steep slopes with sediments. Here, we use digital surface models and radar rainfall data to detect and characterize the triggering and non-triggering rainfall conditions. We find that rainfall intensity alone is insufficient to explain the triggering. We suggest that antecedent rainfall could represent a critical factor for debris flow triggering in arid regions.
Xun Huang, Zhijian Zhang, and Guoping Xiang
Nat. Hazards Earth Syst. Sci., 23, 871–889, https://doi.org/10.5194/nhess-23-871-2023, https://doi.org/10.5194/nhess-23-871-2023, 2023
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A sensitivity analysis on the building impact force resulting from the representative built environment parameters is executed through the FLOW-3D model. The surrounding buildings' properties, especially the azimuthal angle, have been confirmed to play significant roles in determining the peak impact forces. The single and combined effects of built environments are analyzed in detail. This will improve understanding of vulnerability assessment and migration design against debris flow hazards.
Jean-Claude Maki Mateso, Charles L. Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci., 23, 643–666, https://doi.org/10.5194/nhess-23-643-2023, https://doi.org/10.5194/nhess-23-643-2023, 2023
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This research highlights the importance of human activities on the occurrence of landslides and the need to consider this context when studying hillslope instability patterns in regions under anthropogenic pressure. Also, this study highlights the importance of considering the timing of landslides and hence the added value of using historical information for compiling an inventory.
Jakob Rom, Florian Haas, Tobias Heckmann, Moritz Altmann, Fabian Fleischer, Camillo Ressl, Sarah Betz-Nutz, and Michael Becht
Nat. Hazards Earth Syst. Sci., 23, 601–622, https://doi.org/10.5194/nhess-23-601-2023, https://doi.org/10.5194/nhess-23-601-2023, 2023
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In this study, an area-wide slope-type debris flow record has been established for Horlachtal, Austria, since 1947 based on historical and recent remote sensing data. Spatial and temporal analyses show variations in debris flow activity in space and time in a high-alpine region. The results can contribute to a better understanding of past slope-type debris flow dynamics in the context of extreme precipitation events and their possible future development.
Tom Birien and Francis Gauthier
Nat. Hazards Earth Syst. Sci., 23, 343–360, https://doi.org/10.5194/nhess-23-343-2023, https://doi.org/10.5194/nhess-23-343-2023, 2023
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On highly fractured rockwalls such as those found in northern Gaspésie, most rockfalls are triggered by weather conditions. This study highlights that in winter, rockfall frequency is 12 times higher during a superficial thaw than during a cold period in which temperature remains below 0 °C. In summer, rockfall frequency is 22 times higher during a heavy rainfall event than during a mainly dry period. This knowledge could be used to implement a risk management strategy.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
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We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 23, 205–229, https://doi.org/10.5194/nhess-23-205-2023, https://doi.org/10.5194/nhess-23-205-2023, 2023
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In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, and Mohit K. Punia
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-296, https://doi.org/10.5194/nhess-2022-296, 2023
Revised manuscript accepted for NHESS
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The NW Himalaya has been one of most affected terrains of Himalaya subjected to disastrous landslides. This article aims at two towns (Joshimath and Bhatwari) of the NW Himalaya, which have been witnessing subsidence for decades. Present study has involved slope stability simulation to determine the response of the hillslopes accommodating these towns under various conditions. Results revealed that the displacement in these hillslopes might reach up to 20–25 m.
Suzanne Lapillonne, Firmin Fontaine, Frédéric Liebault, Vincent Richefeu, and Guillaume Piton
EGUsphere, https://doi.org/10.5194/egusphere-2022-1297, https://doi.org/10.5194/egusphere-2022-1297, 2023
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Debris flow 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, which are 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 analyze debris flow data and results on the Réal torrent in France. These results will help experts for the design of models.
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.
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. Discuss., https://doi.org/10.5194/nhess-2022-271, https://doi.org/10.5194/nhess-2022-271, 2022
Revised manuscript accepted for NHESS
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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 a denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false alarm rates.
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.
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.
Yiwei Zhang, Jianping Chen, Qing Wang, Chun Tan, Yongchao Li, Xiaohui Sun, and Yang Li
Nat. Hazards Earth Syst. Sci., 22, 2239–2255, https://doi.org/10.5194/nhess-22-2239-2022, https://doi.org/10.5194/nhess-22-2239-2022, 2022
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The disaster prevention and mitigation of debris flow is a very important scientific problem. Our model is based on geographic information system (GIS), combined with grey relational, data-driven and fuzzy logic methods. Through our results, we believe that the streamlining of factors and scientific classification should attract attention from other researchers to optimize a model. We also propose a good perspective to make better use of the watershed feature parameters.
Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Thom Bogaard, Martin Rutzinger, and Christoph Spötl
Nat. Hazards Earth Syst. Sci., 22, 2219–2237, https://doi.org/10.5194/nhess-22-2219-2022, https://doi.org/10.5194/nhess-22-2219-2022, 2022
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The activity of slow-moving deep-seated landslides is commonly governed by pore pressure variations within the shear zone. Groundwater recharge as a consequence of precipitation therefore is a process regulating the activity of landslides. In this context, we present a highly automated geo-statistical approach to spatially assess groundwater recharge controlling the velocity of a deep-seated landslide in Tyrol, Austria.
Yu Zhuang, Aiguo Xing, Perry Bartelt, Muhammad Bilal, and Zhaowei Ding
EGUsphere, https://doi.org/10.5194/egusphere-2022-468, https://doi.org/10.5194/egusphere-2022-468, 2022
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Trees destruction is often used to back-calculate the air blast impact region and estimate the air blast power. Here we established a novel model to assess the air blast power using the tree destruction information. We find that the dynamic magnification effect makes the trees easier to be damaged 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.
Ivo Fustos-Toribio, Nataly Manque-Roa, Daniel Vásquez Antipan, Mauricio Hermosilla Sotomayor, and Viviana Letelier Gonzalez
Nat. Hazards Earth Syst. Sci., 22, 2169–2183, https://doi.org/10.5194/nhess-22-2169-2022, https://doi.org/10.5194/nhess-22-2169-2022, 2022
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We develop for the first time a rainfall-induced landslide early warning system for the south of Chile. We used forecast precipitation values at different scales using mesoscale models to evaluate the probability of landslides using statistical models. We showed the feasibility of implementing these models in future, supporting stakeholders and decision-makers.
Katrin M. Nissen, Stefan Rupp, Thomas M. Kreuzer, Björn Guse, Bodo Damm, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 22, 2117–2130, https://doi.org/10.5194/nhess-22-2117-2022, https://doi.org/10.5194/nhess-22-2117-2022, 2022
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A statistical model is introduced which quantifies the influence of individual potential triggering factors and their interactions on rockfall probability in central Europe. The most important factor is daily precipitation, which is most effective if sub-surface moisture levels are high. Freeze–thaw cycles in the preceding days can further increase the rockfall hazard. The model can be applied to climate simulations in order to investigate the effect of climate change on rockfall probability.
Andreas Schimmel, Velio Coviello, and Francesco Comiti
Nat. Hazards Earth Syst. Sci., 22, 1955–1968, https://doi.org/10.5194/nhess-22-1955-2022, https://doi.org/10.5194/nhess-22-1955-2022, 2022
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The estimation of debris flow velocity and volume is a fundamental task for the development of early warning systems and other mitigation measures. This work provides a first approach for estimating the velocity and the total volume of debris flows based on the seismic signal detected with simple, low-cost geophones installed along the debris flow channel. The developed method was applied to seismic data collected at three test sites in the Alps: Gadria and Cancia (IT) and Lattenbach (AT).
Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard
Nat. Hazards Earth Syst. Sci., 22, 1723–1742, https://doi.org/10.5194/nhess-22-1723-2022, https://doi.org/10.5194/nhess-22-1723-2022, 2022
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This research tested the value of regional groundwater level information to improve landslide predictions with empirical models based on the concept of threshold levels. In contrast to precipitation-based thresholds, the results indicated that relying on threshold models exclusively defined using hydrological variables such as groundwater levels can lead to improved landslide predictions due to their implicit consideration of long-term antecedent conditions until the day of landslide occurrence.
Andrea Manconi, Alessandro C. Mondini, and the AlpArray working group
Nat. Hazards Earth Syst. Sci., 22, 1655–1664, https://doi.org/10.5194/nhess-22-1655-2022, https://doi.org/10.5194/nhess-22-1655-2022, 2022
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Information on when, where, and how landslide events occur is the key to building complete catalogues and performing accurate hazard assessments. Here we show a procedure that allows us to benefit from the increased density of seismic sensors installed on ground for earthquake monitoring and from the unprecedented availability of satellite radar data. We show how the procedure works on a recent sequence of landslides that occurred at Piz Cengalo (Swiss Alps) in 2017.
Andrew Mitchell, Sophia Zubrycky, Scott McDougall, Jordan Aaron, Mylène Jacquemart, Johannes Hübl, Roland Kaitna, and Christoph Graf
Nat. Hazards Earth Syst. Sci., 22, 1627–1654, https://doi.org/10.5194/nhess-22-1627-2022, https://doi.org/10.5194/nhess-22-1627-2022, 2022
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Debris flows are complex, surging movements of sediment and water. Discharge observations from well-studied debris-flow channels were used as inputs for a numerical modelling study of the downstream effects of chaotic inflows. The results show that downstream impacts are sensitive to inflow conditions. Inflow conditions for predictive modelling are highly uncertain, and our method provides a means to estimate the potential variability in future events.
Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, Mario Floris, and Filippo Catani
Nat. Hazards Earth Syst. Sci., 22, 1395–1417, https://doi.org/10.5194/nhess-22-1395-2022, https://doi.org/10.5194/nhess-22-1395-2022, 2022
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The study investigated the importance of the conditioning factors in predicting landslide occurrences using the mentioned models. In this paper, we evaluated the importance of the conditioning factors (features) in the overall prediction capabilities of the statistical and machine learning algorithms.
Pierpaolo Distefano, David J. Peres, Pietro Scandura, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 22, 1151–1157, https://doi.org/10.5194/nhess-22-1151-2022, https://doi.org/10.5194/nhess-22-1151-2022, 2022
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In the communication, we introduce the use of artificial neural networks (ANNs) for improving the performance of rainfall thresholds for landslide early warning. Results show how ANNs using rainfall event duration and mean intensity perform significantly better than a classical power law based on the same variables. Adding peak rainfall intensity as input to the ANN improves performance even more. This further demonstrates the potentialities of the proposed machine learning approach.
Robert Emberson, Dalia B. Kirschbaum, Pukar Amatya, Hakan Tanyas, and Odin Marc
Nat. Hazards Earth Syst. Sci., 22, 1129–1149, https://doi.org/10.5194/nhess-22-1129-2022, https://doi.org/10.5194/nhess-22-1129-2022, 2022
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Understanding where landslides occur in mountainous areas is critical to support hazard analysis as well as understand landscape evolution. In this study, we present a large compilation of inventories of landslides triggered by rainfall, including several that are described here for the first time. We analyze the topographic characteristics of the landslides, finding consistent relationships for landslide source and deposition areas, despite differences in the inventories' locations.
Alexander L. Handwerger, Mong-Han Huang, Shannan Y. Jones, Pukar Amatya, Hannah R. Kerner, and Dalia B. Kirschbaum
Nat. Hazards Earth Syst. Sci., 22, 753–773, https://doi.org/10.5194/nhess-22-753-2022, https://doi.org/10.5194/nhess-22-753-2022, 2022
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Rapid detection of landslides is critical for emergency response and disaster mitigation. Here we develop a global landslide detection tool in Google Earth Engine that uses satellite radar data to measure changes in the ground surface properties. We find that we can detect areas with high landslide density within days of a triggering event. Our approach allows the broader hazard community to utilize these state-of-the-art data for improved situational awareness of landslide hazards.
Qiwen Lin, Yufeng Wang, Yu Xie, Qiangong Cheng, and Kaifeng Deng
Nat. Hazards Earth Syst. Sci., 22, 639–657, https://doi.org/10.5194/nhess-22-639-2022, https://doi.org/10.5194/nhess-22-639-2022, 2022
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Fracturing and fragmentation of rock blocks are important and universal phenomena during the movement of rock avalanches (large and long-run-out rockslide-debris avalanches). The movement of a fragmenting rock block is simulated by the discrete element method, aiming to quantify the fracturing and fragmentation effect of the block in propagation. The fracturing and fragmentation processes and their influences on energy transformation in the system are described in detail.
Napoleon Gudino-Elizondo, Matthew W. Brand, Trent W. Biggs, Alejandro Hinojosa-Corona, Álvaro Gómez-Gutiérrez, Eddy Langendoen, Ronald Bingner, Yongping Yuan, and Brett F. Sanders
Nat. Hazards Earth Syst. Sci., 22, 523–538, https://doi.org/10.5194/nhess-22-523-2022, https://doi.org/10.5194/nhess-22-523-2022, 2022
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Mass movement hazards in the form of gullies and landslides pose significant risks in urbanizing areas yet are poorly documented. This paper presents observations and modeling of mass movement events over a 5-year period in Tijuana, Mexico. Three major events were observed, and all were linked to water resources infrastructure failures (WRIFs), namely leaks and breaks in water supply pipes. Modeling shows that WRIF-based erosion was also a non-negligible contributor to the total sediment budget.
David G. Milledge, Dino G. Bellugi, Jack Watt, and Alexander L. Densmore
Nat. Hazards Earth Syst. Sci., 22, 481–508, https://doi.org/10.5194/nhess-22-481-2022, https://doi.org/10.5194/nhess-22-481-2022, 2022
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Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts to understand what controls these landslides rely heavily on costly and time-consuming manual mapping from satellite imagery. We developed a new method that automatically detects landslides triggered by earthquakes using thousands of free satellite images. We found that in the majority of cases, it was as skilful at identifying the locations of landslides as the manual maps that we tested it against.
Sohrab Sharifi, Michael T. Hendry, Renato Macciotta, and Trevor Evans
Nat. Hazards Earth Syst. Sci., 22, 411–430, https://doi.org/10.5194/nhess-22-411-2022, https://doi.org/10.5194/nhess-22-411-2022, 2022
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This study is devoted to comparing the effectiveness of three different filters for noise reduction of instruments. It was observed that the Savitzky–Golay and Gaussian-weighted moving average filters outperform the simple moving average. Application of these two filters in real-time landslide monitoring leads to timely detection of acceleration moment and better preservation of information regarding displacement and velocity.
Alex Garcés, Gerardo Zegers, Albert Cabré, Germán Aguilar, Aldo Tamburrino, and Santiago Montserrat
Nat. Hazards Earth Syst. Sci., 22, 377–393, https://doi.org/10.5194/nhess-22-377-2022, https://doi.org/10.5194/nhess-22-377-2022, 2022
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We propose a workflow to model the response of an alluvial fan located in the Atacama Desert during an extreme storm event. For this alluvial fan, five different deposits were identified and associated with different debris flow surges. Using a commercial software program, our workflow concatenates these surges into one model. This study depicts the significance of the mechanical classification of debris flows to reproduce how an alluvial fan controls the tributary–river junction connectivity.
Jim S. Whiteley, Arnaud Watlet, J. Michael Kendall, and Jonathan E. Chambers
Nat. Hazards Earth Syst. Sci., 21, 3863–3871, https://doi.org/10.5194/nhess-21-3863-2021, https://doi.org/10.5194/nhess-21-3863-2021, 2021
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This work summarises the contribution of geophysical imaging methods to establishing and operating local landslide early warning systems, demonstrated through a conceptual framework. We identify developments in geophysical monitoring equipment, the spatiotemporal resolutions of these approaches and methods to translate geophysical to geotechnical information as the primary benefits that geophysics brings to slope-scale early warning.
Vipin Kumar, Léna Cauchie, Anne-Sophie Mreyen, Mihai Micu, and Hans-Balder Havenith
Nat. Hazards Earth Syst. Sci., 21, 3767–3788, https://doi.org/10.5194/nhess-21-3767-2021, https://doi.org/10.5194/nhess-21-3767-2021, 2021
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The SE Carpathians belong to one of the most active seismic regions of Europe. In recent decades, extreme rainfall events have also been common. These natural processes result in frequent landslides, particularly of a debris flow type. Despite such regimes, the region has been little explored to understand the response of the landslides in seismic and rainfall conditions. This study attempts to fill this gap by evaluating landslide responses under seismic and extreme-rainfall regimes.
Karel Martínek, Kryštof Verner, Tomáš Hroch, Leta A. Megerssa, Veronika Kopačková, David Buriánek, Ameha Muluneh, Radka Kalinová, Miheret Yakob, and Muluken Kassa
Nat. Hazards Earth Syst. Sci., 21, 3465–3487, https://doi.org/10.5194/nhess-21-3465-2021, https://doi.org/10.5194/nhess-21-3465-2021, 2021
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This study combines field geological and geohazard mapping with remote sensing data. Geostatistical analysis evaluated precipitation, land use, vegetation density, rock mass strength, and tectonics. Contrasting tectonic and climatic setting of the Main Ethiopian Rift and uplifted Ethiopian Plateau have major impacts on the distribution of landslides.
Cited articles
Amishev, D., Basher, L., Phillips, C. J., Hill, S., Marden, M., Bloomberg, M.,
and Moore, J. R.: New forest management approaches to steep hills, Ministry
for Primary Industries, ISBN 9780478437867, 2014. a
Askarinejad, A., Casini, F., Bischof, P., Beck, A., and Springman, S. M.:
Rainfall induced instabilities: a field experiment on a silty sand slope in
northern Switzerland, rivista italiana di geotecnica, 12, 50–71,
http://www.associazionegeotecnica.it/rig/archivio (last access: 20 April 2021), 2012. a, b
Askarinejad, A., Akca, D., and Springman, S. M.: Precursors of instability in
a natural slope due to rainfall: a full-scale experiment, Landslides, 15,
1745–1759, https://doi.org/10.1007/s10346-018-0994-0, 2018. a
Badoux, A., Andres, N., Techel, F., and Hegg, C.: Natural hazard fatalities in Switzerland from 1946 to 2015, Nat. Hazards Earth Syst. Sci., 16, 2747–2768, https://doi.org/10.5194/nhess-16-2747-2016, 2016. a, b
Baeza, C. and Corominas, J.: Assessment of shallow landslide susceptibility by
means of multivariate statistical techniques, Earth Surf. Processes, 26, 1251–1263, https://doi.org/10.1002/esp.263, 2001. a
Bárdossy, A.: Calibration of hydrological model parameters for ungauged catchments, Hydrol. Earth Syst. Sci., 11, 703–710, https://doi.org/10.5194/hess-11-703-2007, 2007. a, b
Baum, R. L., Savage, W. Z., and Godt, J. W.: TRIGRS – a Fortran program for
transient rainfall infiltration and grid-based regional slope-stability
analysis, US geological survey open-file report, 424, 38, https://doi.org/10.3133/ofr02424, 2002. a
Beven, K. and Binley, A.: The future of distributed models: Model calibration
and uncertainty prediction, Hydrol. Process., 6, 279–298,
https://doi.org/10.1002/hyp.3360060305, 1992. a, b
Beven, K. and Freer, J.: A dynamic topmodel, Hydrol. Process., 15,
1993–2011, https://doi.org/10.1002/hyp.252, 2001. a
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area
model of basin hydrology, Hydrol. Sci. B., 24, 43–69,
https://doi.org/10.1080/02626667909491834, 1979. a
Blazkova, S., Beven, K., Tacheci, P., and Kulasova, A.: Testing the
distributed water table predictions of TOPMODEL (allowing for uncertainty in
model calibration): The death of TOPMODEL?, Water Resour. Res., 38, 39-1, https://doi.org/10.1029/2001wr000912, 2002. a
Bodner, G., Leitner, D., and Kaul, H. P.: Coarse and fine root plants affect
pore size distributions differently, Plant Soil, 380, 133–151,
https://doi.org/10.1007/s11104-014-2079-8, 2014. a
Bordoni, M., Meisina, C., Valentino, R., Lu, N., Bittelli, M., and Chersich,
S.: Hydrological factors affecting rainfall-induced shallow landslides: From
the field monitoring to a simplified slope stability analysis, Eng. Geol., 193, 19–37, https://doi.org/10.1016/j.enggeo.2015.04.006, 2015. a, b
Borga, M., Dalla Fontana, G., Gregoretti, C., and Marchi, L.: Assessment of
shallow landsliding by using a physically based model of hillslope
stability, Hydrol. Process., 16, 2833–2851, https://doi.org/10.1002/hyp.1074,
2002. a
Cervi, F., Berti, M., Borgatti, L., Ronchetti, F., Manenti, F., and Corsini,
A.: Comparing predictive capability of statistical and deterministic methods
for landslide susceptibility mapping: A case study in the northern Apennines
(Reggio Emilia Province, Italy), Landslides, 7, 433–444,
https://doi.org/10.1007/s10346-010-0207-y, 2010. a
Chae, B. G., Park, H. J., Catani, F., Simoni, A., and Berti, M.: Landslide
prediction, monitoring and early warning: a concise review of
state-of-the-art, Geosci. J., 21, 1033–1070,
https://doi.org/10.1007/s12303-017-0034-4, 2017. a
Cislaghi, A., Rigon, E., Lenzi, M. A., and Bischetti, G. B.: A probabilistic
multidimensional approach to quantify large wood recruitment from hillslopes
in mountainous-forested catchments, Geomorphology, 306, 108–127, https://doi.org/10.1016/j.geomorph.2018.01.009, 2018. a, b
Cohen, D. and Schwarz, M.: Tree-root control of shallow landslides, Earth Surf. Dynam., 5, 451–477, https://doi.org/10.5194/esurf-5-451-2017, 2017. a, b, c, d
Cohen, D., Lehmann, P., and Or, D.: Fiber bundle model for multiscale modeling
of hydromechanical triggering of shallow landslides, Water Resour.
Res., 45, 1–20, https://doi.org/10.1029/2009WR007889, 2009. a, b
Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J. P.,
Fotopoulou, S., Catani, F., Van Den Eeckhaut, M., Mavrouli, O., Agliardi,
F., Pitilakis, K., Winter, M. G., Pastor, M., Ferlisi, S., Tofani, V.,
Hervás, J., and Smith, J. T.: Recommendations for the quantitative
analysis of landslide risk, B. Eng. Geol. Environ., 73, 209–263, https://doi.org/10.1007/s10064-013-0538-8, 2014. a, b, c, d, e, f
Day, R. W.: State of the art: Limit equilibrium and finite-element analysis of
slopes, J. Geotech. Geoenviron., 123, 894,
https://doi.org/10.1061/(ASCE)1090-0241(1997)123:9(894), 1997. a
Dazio, E. P. R., Conedera, M., and Schwarz, M.: Impact of different chestnut
coppice managements on root reinforcement and shallow landslide
susceptibility, Forest Ecol. Manag., 417, 63–76,
https://doi.org/10.1016/j.foreco.2018.02.031, 2018. a
Dietrich, W. E. and Montgomery, D. R.: SHALSTAB: a digital terrainmodel for
mapping shallow landslide potential., Tech. rep., NCASI (NationalCouncil of
the Paper Industry for Air and Stream Improvement),http://calm.geo.berkeley.edu/geomorph/shalstab/index.htm (last access: 25 August 2021), 1998. a
D'Odorico, P. and Fagherazzi, S.: A probabilistic model of rainfall-triggered
shallow landslides in hollows: A long-term analysis, Water Resour.
Res., 39, 1–14, https://doi.org/10.1029/2002WR001595, 2003. a
Dorren, L.: FINT – Find individual trees, User manual, ecorisQ paper, 5 p.,
https://www.ecorisq.org/, (last access: 10 December 2017), 2017. a
Dorren, L. and Sandri, A.: Landslide risk mapping for the entire Swiss
national road network, Proceedings of the International Conference “Landslide Processes”, 6–7 February 2009, 2009. a
Dysli, M. and Rybisar, J.: Statistique sur les caractéristiques des sols
suisses- Statistische Behandlung der Kennwerte der Schweizer Boeden,
Bundesamt fuer Strassenbau, Institut Francais des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), 128 p., accession no. 01233497, 1992. a, b
Eysn, L., Hollaus, M., Lindberg, E., Berger, F., Monnet, J. M., Dalponte, M.,
Kobal, M., Pellegrini, M., Lingua, E., Mongus, D., and Pfeifer, N.: A
benchmark of lidar-based single tree detection methods using heterogeneous
forest data from the Alpine Space, Forests, 6, 1721–1747,
https://doi.org/10.3390/f6051721, 2015. a, b
Fawcett, T.: An introduction to ROC analysis, Pattern Recogn. Lett., 27, 861–874, https://doi.org/10.1016/j.patrec.2005.10.010, 2006. a
Feng, S., Liu, H. W., and Ng, C. W.: Analytical analysis of the mechanical and
hydrological effects of vegetation on shallow slope stability, Comput. Geotech., 118, 103335, https://doi.org/10.1016/j.compgeo.2019.103335, 2020. a
Freeze, R. A. and Cherry, J. A.: Groundwater, No. 629.1 F7, ISBN 0133653129, 1979. a
Frei, C., Isotta, F., and Schwanbeck, J.: Mean Precipitation 1981–2010, in:
Hydrological Atlas of Switzerland, Geographisches Institut der
Universität Bern, https://hydromaps.ch/#de/8/46.830/8.190/bl_hds--b01_b0100_rnormy8110v1_0$0/NULL, last access: 26 October 2020. a
Giadrossich, F., Schwarz, M., Marden, M., Marrosu, R., and Phillips, C.:
Minimum representative root distribution sampling for calculating slope
stability in pinus radiata D.Don plantations in New Zealand, New Zeal.
J. For. Sci., 50, 1–12, https://doi.org/10.33494/nzjfs502020x68x, 2020. a
González-Ollauri, A. and Mickovski, S. B.: Integrated Model for the
Hydro-Mechanical Effects of Vegetation Against Shallow Landslides, EQA –
International Journal of Environmental Quality, 13, 37–59,
https://doi.org/10.6092/issn.2281-4485/4535, 2014. a
Grabs, T., Seibert, J., Bishop, K., and Laudon, H.: Modeling spatial patterns
of saturated areas: A comparison of the topographic wetness index and a
dynamic distributed model, J. Hydrol., 373, 15–23,
https://doi.org/10.1016/j.jhydrol.2009.03.031, 2009. a
Griffiths, D. V., Huang, J., and Fenton, G. A.: Influence of Spatial
Variability on Slope Reliability Using 2-D Random Fields, J.
Geotech. Geoenviron., 135, 1367–1378,
https://doi.org/10.1061/(asce)gt.1943-5606.0000099, 2009. a, b
HADES:
https://hydrologischeratlas.ch/downloads/01/content/Text_Tafel24.de.pdf (last access: 30 September 2020),
2020. a
Hawley, J. and Dymond, J.: How much do trees reduce landsliding?, J. Soil Water Conserv., 43, 495–498, 1988. a
Hess, D. M., Leshchinsky, B. A., Bunn, M., Benjamin Mason, H., and Olsen,
M. J.: A simplified three-dimensional shallow landslide susceptibility
framework considering topography and seismicity, Landslides, 14, 1677–1697,
https://doi.org/10.1007/s10346-017-0810-2, 2017. a
Iida, T.: A stochastic hydro-geomorphological model for shallow landsliding
due to rainstorm, Catena, 34, 293–313, https://doi.org/10.1016/S0341-8162(98)00093-9,
1999. a
Iverson, R. M.: Landslide triggering by rain infiltration, Water Resour.
Res., 36, 1897–1910, https://doi.org/10.1029/2000WR900090, 2000. a
Jensen, H., Lang, H., and Rinderknecht, J.: Extreme Punktregen
unterschiedlicher Dauer und Wiederkehrperioden 1901–1970, Tafel 2.4, in:
Hydrologischer Atlas der Schweiz, Geographisches Institut der
Universität Bern, https://hydromaps.ch/#de/8/46.830/8.190/bl_hds--b04_b0401_precip_60m_2a_0_5v2_0$4/NULL, (last access: 31 January 2020), 1997. a
Johnson, N. L. and Kotz, S.: Continuous univariate distributions, Houghton
Mifflin, Boston, 1, 70018030, https://books.google.ch/books?id=-wPvAAAAMAAJ (last access: 20 February 2021), 1970. a
Kirkby, M.: Hydrograph modelling strategies, 69–90, in: Processes in Physical and Human Geography, edited by: Peel, R., Chisholm, M., and
Haggert, P., Heineman, London, 69–90, 1975. a
Kjekstad, O. and Highland, L.: Economic and Social Impacts of Landslides,
in: Landslides – Disaster Risk Reduction, edited by: Sassa, K. and Canuti, P., Springer, Berlin, Heidelberg, 573–587, https://doi.org/10.1007/978-3-540-69970-5_30, 2009. a
Korpela, I., Dahlin, B., Schäfer, H., Bruun, E., Haapaniemi, F.,
Honkasalo, J., Ilvesniemi, S., Kuutti, V., Linkosalmi, M., Mustonen, J.,
Salo, M., Suomi, O., and Virtanen, H.: Single-tree forest inventory using
lidar and aerial images for 3D treetop positioning, species recognition,
height and crown width estimation, International Archives of the
Photogrammetry, Remote Sensing and Spatial Information Sciences, 36,
227–233, 2007. a
Lehmann, P., Gambazzi, F., Suski, B., Baron, L., Askarinejad, A., Springman,
S. M., Holliger, K., and Or, D.: Evolution of soil wetting patterns
preceding a hydrologically induced landslide inferred from electrical
resistivity survey and point measurements of volumetric water content and
pore water pressure, Water Resour. Res., 49, 7992–8004,
https://doi.org/10.1002/2013WR014560, 2013. a, b
Leonarduzzi, E., Molnar, P., and McArdell, B. W.: Predictive performance of
rainfall thresholds for shallow landslides in Switzerland from gridded daily
data, Water Resour. Res., 53, 6612–6625, https://doi.org/10.1002/2017WR021044,
2017. a, b
Li, W. C., Lee, L. M., Cai, H., Li, H. J., Dai, F. C., and Wang, M. L.:
Combined roles of saturated permeability and rainfall characteristics on
surficial failure of homogeneous soil slope, Eng. Geol. 153,
105–113, https://doi.org/10.1016/j.enggeo.2012.11.017, 2013. a
Malamud, B., Turcotte, D., Guzzetti, F., and Reichenbach, P.: Landslide
inventories and their statistical properties, Earth Surf. Processes, 29, 687–711, https://doi.org/10.1002/esp.1064, 2004. a
Masi, E. B., Segoni, S., and Tofani, V.: Root reinforcement in slope stability
models: A review, Geosciences (Switzerland), 11, 212, https://doi.org/10.3390/geosciences11050212, 2021. a
McKay, M. D., Beckman, R. J., and Conover, W. J.: Comparison of three methods
for selecting values of input variables in the analysis of output from a
computer code, Technometrics, 21, 239–245,
https://doi.org/10.1080/00401706.1979.10489755, 1979. a
Metz, C. E.: Basic principles of ROC analysis, Semin. Nucl. Med.,
8, 283–298, https://doi.org/10.1016/S0001-2998(78)80014-2, 1978. a
Montgomery, D. R. and Dietrich, W. E.: A physically based model for the
topographic control on shallow landsliding, Water Resour. Res., 30,
1153–1171, https://doi.org/10.1029/93WR02979, 1994. a, b
Montgomery, D. R. and Dietrich, W. E.: Reply to comment by Richard M. Iverson
on “piezometric response in shallow bedrock at cb1: implications for runoff
generation and landsliding”, Water Resour. Res., 40, W03802, https://doi.org/10.1029/2003WR002815, 2004. a
Montgomery, D. R., Schmidt, K. M., Greenberg, H. M., and Dietrich, W. E.:
Forest clearing and regional landsliding, Geology, 28, 311–314,
https://doi.org/10.1130/0091-7613(2000)28<311:FCARL>2.0.CO;2, 2000. a, b, c
Montgomery, D. R., Dietrich, W. E., and Heffner, J. T.: Piezometric response
in shallow bedrock at CB1: Implications for runoff generation and
landsliding, Water Resour. Res., 38, 1274,
https://doi.org/10.1029/2002wr001429, 2002. a
Montrasio, L. and Valentino, R.: A model for triggering mechanisms of shallow landslides, Nat. Hazards Earth Syst. Sci., 8, 1149–1159, https://doi.org/10.5194/nhess-8-1149-2008, 2008. a
Montrasio, L., Valentino, R., and Losi, G. L.: Towards a real-time susceptibility assessment of rainfall-induced shallow landslides on a regional scale, Nat. Hazards Earth Syst. Sci., 11, 1927–1947, https://doi.org/10.5194/nhess-11-1927-2011, 2011. a
Mosley, M. P.: Subsurface flow velocities through selected forest soils, South
Island, New Zealand, J. Hydrol., 55, 65–92,
https://doi.org/10.1016/0022-1694(82)90121-4, 1982. a
O'Callaghan, J. and Mark, D.: The Extraction of Drainage Networks from
Digital Elevation Data, Comput. Vision Grap., 28,
323–344, https://doi.org/10.1016/0734-189X(89)90053-4, 1984. a
O'Loughlin, E. M.: Prediction of Surface Saturation Zones in Natural
catchments by Topographic Analysis, Water Resour. Res., 22, 794–804,
1986. a
Pack, R. T., Tarboton, D. G., and Goodwin, C. N.: The SINMAP Approach to
Terrain Stability Mapping, in: 8th Congress of the International Association of
Engineering Geology, Vancouver, British
Columbia, Canada, 21–25 September 1998, edited by: Moore, D. and Hungr, O., Vol. 2: Engineering Geology And Natural Hazards, A A Balkema, 1157–1166, 1998. a, b, c, d
Park, H. J., Lee, J. H., and Woo, I.: Assessment of rainfall-induced shallow
landslide susceptibility using a GIS-based probabilistic approach,
Eng. Geol., 161, 1–15, https://doi.org/10.1016/j.enggeo.2013.04.011, 2013. a
Prancevic, J. P., Lamb, M. P., McArdell, B. W., Rickli, C., and Kirchner,
J. W.: Decreasing Landslide Erosion on Steeper Slopes in Soil-Mantled
Landscapes, Geophys. Res. Lett., 47, 1–9,
https://doi.org/10.1029/2020GL087505, 2020. a
Price, B., Gomez, A., Mathys, L., Gardi, O., Schellenberger, A., Ginzler, C.,
and Thürig, E.: Tree biomass in the Swiss landscape: nationwide
modelling for improved accounting for forest and non-forest trees,
Environ. Monit. Assess., 189, 1–14,
https://doi.org/10.1007/s10661-017-5816-7, 2017. a
Reinhold, S., Medicus, G., Fellin, W., and Zangerl, C.: The influence of
deforestation on slope (In-) stability, Austrian J. Earth Sci.,
102, 90–99, https://doi.org/10.1139/t01-031, 2009. a
Rickli, C. and Graf, F.: Effects of forests on shallow landslides – case
studies in Switzerland, Forest Snow and Landscape Research, 44, 33–44, 2009. a
Rickli, C., Graf, F., Bebi, P., Bast, A., Loupt, B., and McArdell, B.:
Schützt der Wald vor Rutschungen? Hinweise aus der
WSL-Rutschungsdatenbank, Schweizerische Zeitschrift fur Forstwesen, 170,
310–317, https://doi.org/10.3188/szf.2019.0310, 2019. a
Roering, J., Schmidt, K. M., Stock, J. D., Dietrich, W. E., and Montgomery,
D. R.: Shallow landsliding, root reinforcement, and the spatial distribution
of trees in the Oregon Coast Range, Can. Geotech. J., 40,
237–253, 2003. a
Salvatici, T., Tofani, V., Rossi, G., D'Ambrosio, M., Tacconi Stefanelli, C., Masi, E. B., Rosi, A., Pazzi, V., Vannocci, P., Petrolo, M., Catani, F., Ratto, S., Stevenin, H., and Casagli, N.: Application of a physically based model to forecast shallow landslides at a regional scale, Nat. Hazards Earth Syst. Sci., 18, 1919–1935, https://doi.org/10.5194/nhess-18-1919-2018, 2018. a, b
Schaefli, B. and Gupta, H.: Do Nash values have value, Hydrol. Process., 21, 2075–2080, https://doi.org/10.1002/hyp.6825, 2007. a
Schmidt, K. M., Roering, J. J., Stock, J. D., Dietrich, W. E., Montgomery,
D. R., and Schaub, T.: The variability of root cohesion as an influence on
shallow landslide susceptibility in the Oregon Coast Range, Can.
Geotech. J., 38, 995–1024, https://doi.org/10.1139/cgj-38-5-995, 2001. a
Schwarz, M., Preti, F., Giadrossich, F., Lehmann, P., and Or, D.: Quantifying
the role of vegetation in slope stability: A case study in Tuscany (Italy),
Ecol. Eng., 36, 285–291, https://doi.org/10.1016/j.ecoleng.2009.06.014,
2010. a, b, c, d
Schwarz, M., Giadrossich, F., and Cohen, D.: Modeling root reinforcement using a root-failure Weibull survival function, Hydrol. Earth Syst. Sci., 17, 4367–4377, https://doi.org/10.5194/hess-17-4367-2013, 2013. a
Schwarz, M., Rist, A., Cohen, D., Giadrossich, F., Egorov, P., Büttner,
D., Stolz, M., and Thormann, J. J.: Root reinforcement of soils under
compression, J. Geophys. Res.-Earth, 120,
2103–2120, https://doi.org/10.1002/2015JF003632, 2015. a, b, c
Sidle, R. C.: A Theoretical Model of the Effects of Timber harvesting on Slope
Stability, Water Resour. Res., 28, 1897–1910, 1992. a
Swisstopo: SWISSIMAGE, Luftbilder Level 2 (25 cm) Wabern: Bern, 2014–2016, Bundesamt für Landestopografie swisstopo, Wabern, 2017. a
Torres, R., Dietrich, W. E., Montgomery, D. R., Anderson, S. P., and Loague,
K.: Unsaturated zone processes and the hydrologic response of a steep,
unchanneled catchment, Water Resour. Res., 34, 1865–1879,
https://doi.org/10.1029/98WR01140, 1998. a
van Zadelhoff, F. B., Albaba, A., Cohen, D., Philips, C., Schaefli, B., Dorren, L., and Schwarz, M.: Introducing SlideforMAP; a probabilistic finite slope approach for modelling shallow landslide probability in forested situations, Zenodo [data set], https://doi.org/10.5281/zenodo.6793533, 2022. a
Varnes, D. J.: Slope Movement Types and Processes, Special Report, 176,
11–33, https://doi.org/10.1016/j.mser.2018.11.001, 1978. a, b, c, d
Vergani, C., Schwarz, M., Cohen, D., Thormann, J., and Bischetti, G.: Effects
of root tensile force and diameter distribution variability on root
reinforcement in the Swiss and Italian Alps, Can. J. Forest
Res., 44, 1426–1440, https://doi.org/10.1139/cjfr-2014-0095, 2014. a, b
Weiler, M. and Naef, F.: An experimental tracer study of the role of
macropores in infiltration in grassland soils, Hydrol. Process., 17,
477–493, https://doi.org/10.1002/hyp.1136, 2003. a
Welch, B. L.: The generalisation of student's problems when several different
population variances are involved, Biometrika, 34, 28–35,
https://doi.org/10.1093/biomet/34.1-2.28, 1947. a
Wiekenkamp, I., Huisman, J. A., Bogena, H. R., Lin, H. S., and Vereecken, H.:
Spatial and temporal occurrence of preferential flow in a forested headwater
catchment, J. Hydrol., 534, 139–149,
https://doi.org/10.1016/j.jhydrol.2015.12.050, 2016. a
Wu, T., McKinnel, W. P., and Swanston, D. N.: Strength of tree roots and
landslides on Prince of Wales Island, Alaska, Can. Geotech. J., 16.1, 19–33, 1978. a
Xu, C., Xu, X., Dai, F., and Saraf, A. K.: Comparison of different models for
susceptibility mapping of earthquake triggered landslides related with the
2008 Wenchuan earthquake in China, Comput. Geosci., 46, 317–329,
https://doi.org/10.1016/j.cageo.2012.01.002, 2012. a
Zevenbergen, L. and Thorne, C.: Quantitative analysis of land surface
topography, Earth Surf. Proc. Land., 12, 47–56, 1987. a
Zhang, S., Zhao, L., Delgado-Tellez, R., and Bao, H.: A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale, Nat. Hazards Earth Syst. Sci., 18, 969–982, https://doi.org/10.5194/nhess-18-969-2018, 2018.
a
Zhu, H., Zhang, L. M., Xiao, T., and Li, X. Y.: Enhancement of slope stability
by vegetation considering uncertainties in root distribution, Comput. Geotech., 85, 84–89, https://doi.org/10.1016/j.compgeo.2016.12.027, 2017. a
Short summary
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.
Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard...
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