Articles | Volume 22, issue 7
https://doi.org/10.5194/nhess-22-2219-2022
© 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-22-2219-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2022
Research article |
| 06 Jul 2022
| 06 Jul 2022
Spatial assessment of probable recharge areas – investigating the hydrogeological controls of an active deep-seated gravitational slope deformation
Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innrain 25, 6020 Innsbruck, Austria
Department of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Thomas Zieher
Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innrain 25, 6020 Innsbruck, Austria
Jan Schmieder
Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innrain 25, 6020 Innsbruck, Austria
Department of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Thom Bogaard
Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Martin Rutzinger
Department of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Christoph Spötl
Institute of Geology, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Related authors
Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh
Nat. Hazards Earth Syst. Sci., 23, 3723–3745, https://doi.org/10.5194/nhess-23-3723-2023, https://doi.org/10.5194/nhess-23-3723-2023, 2023
Short summary
Short summary
Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope is required. We tested if the use of machine learning, combined with satellite remote sensing data, would allow us to forecast deformation. Our results on the Vögelsberg landslide, a deep-seated landslide near Innsbruck, Austria, show that the formulation of such a machine learning system is not as straightforward as often hoped for.
M. Bremer, V. Wichmann, M. Rutzinger, T. Zieher, and J. Pfeiffer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 943–950, https://doi.org/10.5194/isprs-archives-XLII-2-W13-943-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-943-2019, 2019
J. Pfeiffer, T. Zieher, M. Rutzinger, M. Bremer, and V. Wichmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 421–428, https://doi.org/10.5194/isprs-annals-IV-2-W5-421-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-421-2019, 2019
T. Zieher, M. Bremer, M. Rutzinger, J. Pfeiffer, P. Fritzmann, and V. Wichmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 461–467, https://doi.org/10.5194/isprs-annals-IV-2-W5-461-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-461-2019, 2019
Francesco Marra, Eleonora Dallan, Marco Borga, Roberto Greco, and Thom Bogaard
EGUsphere, https://doi.org/10.5194/egusphere-2025-3378, https://doi.org/10.5194/egusphere-2025-3378, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
We highlight an important conceptual difference between the duration used in intensity-duration thresholds and the duration used in the intensity-duration-frequency curves that has been overlooked by the landslide literature so far.
Juan Luis Bernal-Wormull, Ana Moreno, Yuri Dublyansky, Christoph Spötl, Reyes Giménez, Carlos Pérez-Mejías, Miguel Bartolomé, Martin Arriolabengoa, Eneko Iriarte, Isabel Cacho, Richard Lawrence Edwards, and Hai Cheng
Clim. Past, 21, 1235–1261, https://doi.org/10.5194/cp-21-1235-2025, https://doi.org/10.5194/cp-21-1235-2025, 2025
Short summary
Short summary
In this paper we present a record of temperature changes during the last deglaciation and the Holocene using isotopes of fluid inclusions in stalagmites from the northeastern region of the Iberian Peninsula. This innovative climate proxy for this study region provides a quantitative understanding of the abrupt temperature changes in southern Europe in the last 16 500 years before present.
Jiapan Wang, Rasoul Eskandari, ChengHan Lin, János Mészáros, Laura Obrecht, Evangeline Rowe, Jules Salzinger, Martin Rutzinger, and Andreas Mayr
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 937–944, https://doi.org/10.5194/isprs-annals-X-G-2025-937-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-937-2025, 2025
Lotte de Vugt, Thomas Zieher, Barbara Schneider-Muntau, Frank Perzl, Marc Adams, and Martin Rutzinger
EGUsphere, https://doi.org/10.5194/egusphere-2025-2647, https://doi.org/10.5194/egusphere-2025-2647, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
We performed an analysis on semi-automatically mapped shallow landslide scarps and forest cover in the Sellrain valley, Tyrol (Austria), to investigate how the morphology and topographic profiles of landslides are affected by the forest. The results show that landslides located in dense forest cover occurred on steeper slopes and were deeper than others. The results also show that the use of forest stand density parameters, such as tree spacing, enhanced the found differences in the study area.
Carlos Sancho, Ánchel Belmonte, Maria Leunda, Marc Luetscher, Christoph Spötl, Juan Ignacio López-Moreno, Belén Oliva-Urcia, Jerónimo López-Martínez, Ana Moreno, and Miguel Bartolomé
EGUsphere, https://doi.org/10.5194/egusphere-2025-8, https://doi.org/10.5194/egusphere-2025-8, 2025
Short summary
Short summary
Ice caves, vital for paleoclimate studies, face rapid ice loss due to global warming. A294 cave, home to the oldest firn deposit (6100 years BP), shows rising air temperatures (~1.07–1.56 °C in 12 years), fewer freezing days, and melting rates (15–192 cm/year). Key factors include warmer winters, increased rainfall, and reduced snowfall. This study highlights the urgency of recovering data from these unique ice archives before they vanish forever.
Benjamin B. Mirus, Thom Bogaard, Roberto Greco, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 25, 169–182, https://doi.org/10.5194/nhess-25-169-2025, https://doi.org/10.5194/nhess-25-169-2025, 2025
Short summary
Short summary
Early warning of increased landslide potential provides situational awareness to reduce landslide-related losses from major storm events. For decades, landslide forecasts relied on rainfall data alone, but recent research points to the value of hydrologic information for improving predictions. In this paper, we provide our perspectives on the value and limitations of integrating subsurface hillslope hydrologic monitoring data and mathematical modeling for more accurate landslide forecasts.
Alexander H. Jarosch, Paul Hofer, and Christoph Spötl
The Cryosphere, 18, 4811–4816, https://doi.org/10.5194/tc-18-4811-2024, https://doi.org/10.5194/tc-18-4811-2024, 2024
Short summary
Short summary
Mechanical damage to stalagmites is commonly observed in mid-latitude caves. In this study we investigate ice flow along the cave bed as a possible mechanism for stalagmite damage. Utilizing models which simulate forces created by ice flow, we study the structural integrity of different stalagmite geometries. Our results suggest that structural failure of stalagmites caused by ice flow is possible, albeit unlikely.
Miguel Bartolomé, Ana Moreno, Carlos Sancho, Isabel Cacho, Heather Stoll, Negar Haghipour, Ánchel Belmonte, Christoph Spötl, John Hellstrom, R. Lawrence Edwards, and Hai Cheng
Clim. Past, 20, 467–494, https://doi.org/10.5194/cp-20-467-2024, https://doi.org/10.5194/cp-20-467-2024, 2024
Short summary
Short summary
Reconstructing past temperatures at regional scales during the Common Era is necessary to place the current warming in the context of natural climate variability. We present a climate reconstruction based on eight stalagmites from four caves in the Pyrenees, NE Spain. These stalagmites were dated precisely and analysed for their oxygen isotopes, which appear dominated by temperature changes. Solar variability and major volcanic eruptions are the two main drivers of observed climate variability.
M. Potůčková, J. Albrechtová, K. Anders, L. Červená, J. Dvořák, K. Gryguc, B. Höfle, L. Hunt, Z. Lhotáková, A. Marcinkowska-Ochtyra, A. Mayr, E. Neuwirthová, A. Ochtyra, M. Rutzinger, A. Šedová, A. Šrollerů, and L. Kupková
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 989–996, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-989-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-989-2023, 2023
Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh
Nat. Hazards Earth Syst. Sci., 23, 3723–3745, https://doi.org/10.5194/nhess-23-3723-2023, https://doi.org/10.5194/nhess-23-3723-2023, 2023
Short summary
Short summary
Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope is required. We tested if the use of machine learning, combined with satellite remote sensing data, would allow us to forecast deformation. Our results on the Vögelsberg landslide, a deep-seated landslide near Innsbruck, Austria, show that the formulation of such a machine learning system is not as straightforward as often hoped for.
Anika Donner, Paul Töchterle, Christoph Spötl, Irka Hajdas, Xianglei Li, R. Lawrence Edwards, and Gina E. Moseley
Clim. Past, 19, 1607–1621, https://doi.org/10.5194/cp-19-1607-2023, https://doi.org/10.5194/cp-19-1607-2023, 2023
Short summary
Short summary
This study investigates the first finding of fine-grained cryogenic cave minerals in Greenland, a type of speleothem that has been notably difficult to date. We present a successful approach for determining the age of these minerals using 230Th / U disequilibrium and 14C dating. We relate the formation of the cryogenic cave minerals to a well-documented extreme weather event in 1889 CE. Additionally, we provide a detailed report on the mineralogical and isotopic composition of these minerals.
Charlotte Honiat, Gabriella Koltai, Yuri Dublyansky, R. Lawrence Edwards, Haiwei Zhang, Hai Cheng, and Christoph Spötl
Clim. Past, 19, 1177–1199, https://doi.org/10.5194/cp-19-1177-2023, https://doi.org/10.5194/cp-19-1177-2023, 2023
Short summary
Short summary
A look at the climate evolution during the last warm period may allow us to test ground for future climate conditions. We quantified the temperature evolution during the Last Interglacial using a tiny amount of water trapped in the crystals of precisely dated stalagmites in caves from the southeastern European Alps. Our record indicates temperatures up to 2 °C warmer than today and an unstable climate during the first half of the Last Interglacial.
Lea Hartl, Thomas Zieher, Magnus Bremer, Martin Stocker-Waldhuber, Vivien Zahs, Bernhard Höfle, Christoph Klug, and Alessandro Cicoira
Earth Surf. Dynam., 11, 117–147, https://doi.org/10.5194/esurf-11-117-2023, https://doi.org/10.5194/esurf-11-117-2023, 2023
Short summary
Short summary
The rock glacier in Äußeres Hochebenkar (Austria) moved faster in 2021–2022 than it has in about 70 years of monitoring. It is currently destabilizing. Using a combination of different data types and methods, we show that there have been two cycles of destabilization at Hochebenkar and provide a detailed analysis of velocity and surface changes. Because our time series are very long and show repeated destabilization, this helps us better understand the processes of rock glacier destabilization.
Yi Luo, Jiaming Zhang, Zhi Zhou, Juan P. Aguilar-Lopez, Roberto Greco, and Thom Bogaard
Hydrol. Earth Syst. Sci., 27, 783–808, https://doi.org/10.5194/hess-27-783-2023, https://doi.org/10.5194/hess-27-783-2023, 2023
Short summary
Short summary
This paper describes an experiment and modeling of the hydrological response of desiccation cracks under long-term wetting–drying cycles. We developed a new dynamic dual-permeability model to quantify the dynamic evolution of desiccation cracks and associated preferential flow and moisture distribution. Compared to other models, the dynamic dual-permeability model could describe the experimental data much better, but it also provided an improved description of the underlying physics.
Miguel Bartolomé, Gérard Cazenave, Marc Luetscher, Christoph Spötl, Fernando Gázquez, Ánchel Belmonte, Alexandra V. Turchyn, Juan Ignacio López-Moreno, and Ana Moreno
The Cryosphere, 17, 477–497, https://doi.org/10.5194/tc-17-477-2023, https://doi.org/10.5194/tc-17-477-2023, 2023
Short summary
Short summary
In this work we study the microclimate and the geomorphological features of Devaux ice cave in the Central Pyrenees. The research is based on cave monitoring, geomorphology, and geochemical analyses. We infer two different thermal regimes. The cave is impacted by flooding in late winter/early spring when the main outlets freeze, damming the water inside. Rock temperatures below 0°C and the absence of drip water indicate frozen rock, while relict ice formations record past damming events.
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
Short summary
Short summary
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.
Paul Töchterle, Simon D. Steidle, R. Lawrence Edwards, Yuri Dublyansky, Christoph Spötl, Xianglei Li, John Gunn, and Gina E. Moseley
Geochronology, 4, 617–627, https://doi.org/10.5194/gchron-4-617-2022, https://doi.org/10.5194/gchron-4-617-2022, 2022
Short summary
Short summary
Cryogenic cave carbonates (CCCs) provide a marker for past permafrost conditions. Their formation age is determined by Th / U dating. However, samples can be contaminated with small amounts of Th at formation, which can cause inaccurate ages and require correction. We analysed multiple CCCs and found that varying degrees of contamination can cause an apparent spread of ages, when samples actually formed within distinguishable freezing events. A correction method using isochrons is presented.
Maria Wind, Friedrich Obleitner, Tanguy Racine, and Christoph Spötl
The Cryosphere, 16, 3163–3179, https://doi.org/10.5194/tc-16-3163-2022, https://doi.org/10.5194/tc-16-3163-2022, 2022
Short summary
Short summary
We present a thorough analysis of the thermal conditions of a sag-type ice cave in the Austrian Alps using temperature measurements for the period 2008–2021. Apart from a long-term increasing temperature trend in all parts of the cave, we find strong interannual and spatial variations as well as a characteristic seasonal pattern. Increasing temperatures further led to a drastic decrease in cave ice. A first attempt to model ablation based on temperature shows promising results.
A. B. Voordendag, B. Goger, C. Klug, R. Prinz, M. Rutzinger, and G. Kaser
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1093–1099, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1093-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1093-2022, 2022
V. Zahs, L. Winiwarter, K. Anders, M. Bremer, M. Rutzinger, M. Potůčková, and B. Höfle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1109–1116, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1109-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1109-2022, 2022
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
Short summary
Short summary
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.
B. Hiebl, A. Mayr, A. Kollert, M. Rutzinger, M. Bremer, N. Helm, and K. Chytry
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 367–374, https://doi.org/10.5194/isprs-annals-V-2-2022-367-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-367-2022, 2022
L. Müller, M. Rutzinger, A. Mayr, and A. Kollert
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 391–398, https://doi.org/10.5194/isprs-annals-V-2-2022-391-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-391-2022, 2022
Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 26, 775–794, https://doi.org/10.5194/hess-26-775-2022, https://doi.org/10.5194/hess-26-775-2022, 2022
Short summary
Short summary
The density of rain gauge networks plays an important role in radar rainfall bias correction. In this work, we aimed to assess the extent to which daily rainfall observations from a dense network of citizen scientists improve the accuracy of hourly radar rainfall estimates in the Tubma Basin, Thailand. Results show that citizen rain gauges significantly enhance the performance of radar rainfall bias adjustment up to a range of about 40 km from the center of the citizen rain gauge network.
Caroline Welte, Jens Fohlmeister, Melina Wertnik, Lukas Wacker, Bodo Hattendorf, Timothy I. Eglinton, and Christoph Spötl
Clim. Past, 17, 2165–2177, https://doi.org/10.5194/cp-17-2165-2021, https://doi.org/10.5194/cp-17-2165-2021, 2021
Short summary
Short summary
Stalagmites are valuable climate archives, but unlike other proxies the use of stable carbon isotopes (δ13C) is still difficult. A stalagmite from the Austrian Alps was analyzed using a new laser ablation method for fast radiocarbon (14C) analysis. This allowed 14C and δ13C to be combined, showing that besides soil and bedrock a third source is contributing during periods of warm, wet climate: old organic matter.
Kathleen A. Wendt, Xianglei Li, R. Lawrence Edwards, Hai Cheng, and Christoph Spötl
Clim. Past, 17, 1443–1454, https://doi.org/10.5194/cp-17-1443-2021, https://doi.org/10.5194/cp-17-1443-2021, 2021
Short summary
Short summary
In this study, we tested the upper limits of U–Th dating precision by analyzing three stalagmites from the Austrian Alps that have high U concentrations. The composite record spans the penultimate interglacial (MIS 7) with an average 2σ age uncertainty of 400 years. This unprecedented age control allows us to constrain the timing of temperature shifts in the Alps during MIS 7 while offering new insight into millennial-scale changes in the North Atlantic leading up to Terminations III and IIIa.
A. B. Voordendag, B. Goger, C. Klug, R. Prinz, M. Rutzinger, and G. Kaser
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 153–160, https://doi.org/10.5194/isprs-annals-V-2-2021-153-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-153-2021, 2021
A. Kollert, M. Rutzinger, M. Bremer, K. Kaufmann, and T. Bork-Hüffer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 201–208, https://doi.org/10.5194/isprs-annals-V-4-2021-201-2021, https://doi.org/10.5194/isprs-annals-V-4-2021-201-2021, 2021
Gabriella Koltai, Christoph Spötl, Alexander H. Jarosch, and Hai Cheng
Clim. Past, 17, 775–789, https://doi.org/10.5194/cp-17-775-2021, https://doi.org/10.5194/cp-17-775-2021, 2021
Short summary
Short summary
This paper utilises a novel palaeoclimate archive from caves, cryogenic cave carbonates, which allow for precisely constraining permafrost thawing events in the past. Our study provides new insights into the climate of the Younger Dryas (12 800 to 11 700 years BP) in mid-Europe from the perspective of a high-elevation cave sensitive to permafrost development. We quantify seasonal temperature and precipitation changes by using a heat conduction model.
Xianglei Li, Kathleen A. Wendt, Yuri Dublyansky, Gina E. Moseley, Christoph Spötl, and R. Lawrence Edwards
Geochronology, 3, 49–58, https://doi.org/10.5194/gchron-3-49-2021, https://doi.org/10.5194/gchron-3-49-2021, 2021
Short summary
Short summary
In this study, we built a statistical model to determine the initial δ234U in submerged calcite crusts that coat the walls of Devils Hole 2 (DH2) cave (Nevada, USA) and, using a 234U–238U dating method, extended the chronology of the calcite deposition beyond previous well-established 230Th ages and determined the oldest calcite deposited in this cave, a time marker for cave genesis. The novel method presented here may be used in future speleothem studies in similar hydrogeological settings.
Rolf Hut, Thanda Thatoe Nwe Win, and Thom Bogaard
Geosci. Instrum. Method. Data Syst., 9, 435–442, https://doi.org/10.5194/gi-9-435-2020, https://doi.org/10.5194/gi-9-435-2020, 2020
Short summary
Short summary
GPS drifters that float down rivers are important tools in studying rivers, but they can be expensive. Recently, both GPS receivers and cellular modems have become available at lower prices to tinkering scientists due to the rise of open hardware and the Arduino. We provide detailed instructions on how to build a low-power GPS drifter with local storage and a cellular model that we tested in a fieldwork in Myanmar. These instructions allow fellow geoscientists to recreate the device.
M. Rutzinger, K. Anders, M. Bremer, B. Höfle, R. Lindenbergh, S. Oude Elberink, F. Pirotti, M. Scaioni, and T. Zieher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 243–250, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020, 2020
I. Gutierrez, E. Før Gjermundsen, W. D. Harcourt, M. Kuschnerus, F. Tonion, and T. Zieher
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 719–726, https://doi.org/10.5194/isprs-annals-V-2-2020-719-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-719-2020, 2020
A. Mayr, M. Bremer, and M. Rutzinger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 765–772, https://doi.org/10.5194/isprs-annals-V-2-2020-765-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-765-2020, 2020
Haiwei Zhang, Hai Cheng, Yanjun Cai, Christoph Spötl, Ashish Sinha, Gayatri Kathayat, and Hanying Li
Clim. Past, 16, 211–225, https://doi.org/10.5194/cp-16-211-2020, https://doi.org/10.5194/cp-16-211-2020, 2020
Short summary
Short summary
Few studies have paid attention to the important effect of nonsummer monsoon (NSM) precipitation on the speleothem δ18O in SE China. We find the summer monsoon precipitation is equivalent to NSM precipitation amount in the area of spring persistent rain in SE China, and we discuss the relationships between seasonal precipitation amount, moisture source, δ18O, and ENSO. Characterizing the spatial differences in seasonal precipitation is key to interpreting the speleothem δ18O record.
Gina E. Moseley, Christoph Spötl, Susanne Brandstätter, Tobias Erhardt, Marc Luetscher, and R. Lawrence Edwards
Clim. Past, 16, 29–50, https://doi.org/10.5194/cp-16-29-2020, https://doi.org/10.5194/cp-16-29-2020, 2020
Short summary
Short summary
Abrupt climate change during the last ice age can be used to provide important insights into the timescales on which the climate is capable of changing and the mechanisms that drive those changes. In this study, we construct climate records for the period 60 to 120 ka using stalagmites that formed in caves along the northern rim of the European Alps and find good agreement with the timing of climate changes in Greenland and the Asian monsoon.
Mike Rogerson, Yuri Dublyansky, Dirk L. Hoffmann, Marc Luetscher, Paul Töchterle, and Christoph Spötl
Clim. Past, 15, 1757–1769, https://doi.org/10.5194/cp-15-1757-2019, https://doi.org/10.5194/cp-15-1757-2019, 2019
Short summary
Short summary
Rainfall in North Africa is known to vary through time and is likely to change as global climate warms. Here, we provide a new level of understanding about past rainfall in North Africa by looking at a stalagmite which formed within northeastern Libya between 67 and 30 thousand years ago. We find that at times more rain falls, and the associated moisture is mostly derived from the western Mediterranean during winter storms. Sometimes, water comes from the eastern Mediterranean.
César Dionisio Jiménez-Rodríguez, Miriam Coenders-Gerrits, Thom Bogaard, Erika Vatiero, and Hubert Savenije
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-344, https://doi.org/10.5194/hess-2019-344, 2019
Revised manuscript not accepted
Short summary
Short summary
Knowing the isotopic composition of water vapor in the air is a difficult task. The estimation of δ18O and δ2H has to be done carefully, because it is accompanied by a high risk of methodological errors (if it is sampled) or wrong assumptions that can lead to incorrect values (if it is modeled). The aim of this work was to compare available sampling methods for water vapor in the air and estimate their isotopic composition, comparing the results against direct measurements of the sampled air.
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 915–917, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, 2019
M. Bremer, V. Wichmann, M. Rutzinger, T. Zieher, and J. Pfeiffer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 943–950, https://doi.org/10.5194/isprs-archives-XLII-2-W13-943-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-943-2019, 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 313–315, https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019, 2019
A. Mayr, M. Bremer, M. Rutzinger, and C. Geitner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 405–412, https://doi.org/10.5194/isprs-annals-IV-2-W5-405-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-405-2019, 2019
J. Pfeiffer, T. Zieher, M. Rutzinger, M. Bremer, and V. Wichmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 421–428, https://doi.org/10.5194/isprs-annals-IV-2-W5-421-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-421-2019, 2019
T. Zieher, M. Bremer, M. Rutzinger, J. Pfeiffer, P. Fritzmann, and V. Wichmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 461–467, https://doi.org/10.5194/isprs-annals-IV-2-W5-461-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-461-2019, 2019
Hanying Li, Hai Cheng, Ashish Sinha, Gayatri Kathayat, Christoph Spötl, Aurèle Anquetil André, Arnaud Meunier, Jayant Biswas, Pengzhen Duan, Youfeng Ning, and Richard Lawrence Edwards
Clim. Past, 14, 1881–1891, https://doi.org/10.5194/cp-14-1881-2018, https://doi.org/10.5194/cp-14-1881-2018, 2018
Short summary
Short summary
The
4.2 ka eventbetween 4.2 and 3.9 ka has been widely discussed in the Northern Hemsiphere but less reported in the Southern Hemisphere. Here, we use speleothem records from Rodrigues in the southwestern Indian Ocean spanning from 6000 to 3000 years ago to investigate the regional hydro-climatic variability. Our records show no evidence for an unusual climate anomaly between 4.2 and 3.9 ka. Instead, it shows a multi-centennial drought between 3.9 and 3.5 ka.
Haiwei Zhang, Hai Cheng, Yanjun Cai, Christoph Spötl, Gayatri Kathayat, Ashish Sinha, R. Lawrence Edwards, and Liangcheng Tan
Clim. Past, 14, 1805–1817, https://doi.org/10.5194/cp-14-1805-2018, https://doi.org/10.5194/cp-14-1805-2018, 2018
Short summary
Short summary
The collapses of several Neolithic cultures in China are considered to have been associated with abrupt climate change during the 4.2 ka BP event; however, the hydroclimate of this event in China is still poorly known. Based on stalagmite records from monsoonal China, we found that north China was dry but south China was wet during this event. We propose that the rain belt remained longer at its southern position, giving rise to a pronounced humidity gradient between north and south China.
César~Dionisio Jiménez-Rodríguez, Miriam Coenders-Gerrits, Thom Bogaard, Erika Vatiero, and Hubert Savenije
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-538, https://doi.org/10.5194/hess-2018-538, 2018
Manuscript not accepted for further review
Short summary
Short summary
The measurement of stable isotopes in water vapor has been improved with the use of laser technologies. Its direct application in the field depends on the availability of infrastructure or the budget of the project. For those cases when it is not possible, we provide an alternative method to sample the air for its later measurement. This method is based on the use of a low-cost polyethylene bag, getting stable measurements with a volume of 450 mL of air reducing the risk of sample deterioration.
Petra Hulsman, Thom A. Bogaard, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 22, 5081–5095, https://doi.org/10.5194/hess-22-5081-2018, https://doi.org/10.5194/hess-22-5081-2018, 2018
Short summary
Short summary
In many river basins, the development of hydrological models is challenged by poor discharge data availability and quality. In contrast, water level data are more reliable, as these are direct measurements and are unprocessed. In this study, an alternative calibration method is presented using water-level time series and the Strickler–Manning formula instead of discharge. This is applied to a semi-distributed rainfall-runoff model for the semi-arid, poorly gauged Mara River basin in Kenya.
A. Mayr, M. Rutzinger, and C. Geitner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 691–697, https://doi.org/10.5194/isprs-archives-XLII-2-691-2018, https://doi.org/10.5194/isprs-archives-XLII-2-691-2018, 2018
T. Zieher, I. Toschi, F. Remondino, M. Rutzinger, Ch. Kofler, A. Mejia-Aguilar, and R. Schlögel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1243–1250, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, 2018
Gabriella Koltai, Hai Cheng, and Christoph Spötl
Clim. Past, 14, 369–381, https://doi.org/10.5194/cp-14-369-2018, https://doi.org/10.5194/cp-14-369-2018, 2018
Short summary
Short summary
Here we present a multi-proxy study of flowstones in fractures of crystalline rocks with the aim of assessing the palaeoclimate significance of this new type of speleothem archive. Our results indicate a high degree of spatial heterogeneity, whereby changes in speleothem mineralogy and carbon isotope composition are likely governed by aquifer-internal processes. In contrast, the oxygen isotope composition reflects first-order climate variability.
David J. Peres, Antonino Cancelliere, Roberto Greco, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 18, 633–646, https://doi.org/10.5194/nhess-18-633-2018, https://doi.org/10.5194/nhess-18-633-2018, 2018
Short summary
Short summary
We investigate the influence of imprecise identification of triggering instants on landslide early warning thresholds by perturbing an error-free synthetic dataset. Combined impacts of uncertainty with respect to temporal discretization of data and criteria for singling out rainfall events are assessed as well. Results show that thresholds can be significantly affected by these uncertainty sources.
Thom Bogaard and Roberto Greco
Nat. Hazards Earth Syst. Sci., 18, 31–39, https://doi.org/10.5194/nhess-18-31-2018, https://doi.org/10.5194/nhess-18-31-2018, 2018
Short summary
Short summary
The vast majority of shallow landslides and debris flows are precipitation initiated and predicted using historical landslides plotted versus observed precipitation information. However, this approach has severe limitations. This is partly due to the fact that it is not precipitation that initiates a landslide or debris flow but rather the hydrological dynamics in the soil and slope. We propose to include hydrological information in the regional hydro-meteorological hazard assessment.
Thomas Zieher, Martin Rutzinger, Barbara Schneider-Muntau, Frank Perzl, David Leidinger, Herbert Formayer, and Clemens Geitner
Nat. Hazards Earth Syst. Sci., 17, 971–992, https://doi.org/10.5194/nhess-17-971-2017, https://doi.org/10.5194/nhess-17-971-2017, 2017
Short summary
Short summary
At catchment scale, it is challenging to provide the required input parameters for physically based slope stability models. In the present study, the parameterization of such a model is optimized against observed shallow landslides during two triggering rainfall events. With the resulting set of parameters the model reproduces the location and the triggering timing of most observed landslides. Based on that, potential effects of increasing precipitation intensity on slope stability are assessed.
M. Rutzinger, B. Höfle, R. Lindenbergh, S. Oude Elberink, F. Pirotti, R. Sailer, M. Scaioni, J. Stötter, and D. Wujanz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 15–22, https://doi.org/10.5194/isprs-annals-III-6-15-2016, https://doi.org/10.5194/isprs-annals-III-6-15-2016, 2016
Marie K. M. Charrière and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 16, 1175–1188, https://doi.org/10.5194/nhess-16-1175-2016, https://doi.org/10.5194/nhess-16-1175-2016, 2016
Short summary
Short summary
This paper present the results of interviews that were conducted with the developers of apps dedicated to avalanche risk communication. The study investigates the context of their development to determine how choices of content and visualization were made as well as how their effectiveness is evaluated. Results show that consensus is achieved in terms of message but not in terms of visualization. However, progress remains in terms of effectiveness evaluation.
W. Shao, T. A. Bogaard, M. Bakker, and R. Greco
Hydrol. Earth Syst. Sci., 19, 2197–2212, https://doi.org/10.5194/hess-19-2197-2015, https://doi.org/10.5194/hess-19-2197-2015, 2015
Short summary
Short summary
The effect of preferential flow on the stability of landslides is studied through numerical simulation of two types of rainfall events on a hypothetical hillslope. A model is developed that consists of two parts. The first part is a model for combined saturated/unsaturated subsurface flow and is used to compute the spatial and temporal water pressure response to rainfall. Preferential flow is simulated with a dual-permeability continuum model consisting of a matrix/preferential flow domain.
V. J. Cortes Arevalo, M. Charrière, G. Bossi, S. Frigerio, L. Schenato, T. Bogaard, C. Bianchizza, A. Pasuto, and S. Sterlacchini
Nat. Hazards Earth Syst. Sci., 14, 2681–2698, https://doi.org/10.5194/nhess-14-2681-2014, https://doi.org/10.5194/nhess-14-2681-2014, 2014
C. Spötl and H. Cheng
Clim. Past, 10, 1349–1362, https://doi.org/10.5194/cp-10-1349-2014, https://doi.org/10.5194/cp-10-1349-2014, 2014
D. M. Krzeminska, T. A. Bogaard, T.-H. Debieche, F. Cervi, V. Marc, and J.-P. Malet
Earth Surf. Dynam., 2, 181–195, https://doi.org/10.5194/esurf-2-181-2014, https://doi.org/10.5194/esurf-2-181-2014, 2014
U. Ehret, H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff, and H. C. Winsemius
Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, https://doi.org/10.5194/hess-18-649-2014, 2014
M. Luetscher, M. Borreguero, G. E. Moseley, C. Spötl, and R. L. Edwards
The Cryosphere, 7, 1073–1081, https://doi.org/10.5194/tc-7-1073-2013, https://doi.org/10.5194/tc-7-1073-2013, 2013
J. E. van der Spek, T. A. Bogaard, and M. Bakker
Hydrol. Earth Syst. Sci., 17, 2171–2183, https://doi.org/10.5194/hess-17-2171-2013, https://doi.org/10.5194/hess-17-2171-2013, 2013
D. M. Krzeminska, T. A. Bogaard, J.-P. Malet, and L. P. H. van Beek
Hydrol. Earth Syst. Sci., 17, 947–959, https://doi.org/10.5194/hess-17-947-2013, https://doi.org/10.5194/hess-17-947-2013, 2013
M. Hrachowitz, H. Savenije, T. A. Bogaard, D. Tetzlaff, and C. Soulsby
Hydrol. Earth Syst. Sci., 17, 533–564, https://doi.org/10.5194/hess-17-533-2013, https://doi.org/10.5194/hess-17-533-2013, 2013
V. E. Johnston, A. Borsato, C. Spötl, S. Frisia, and R. Miorandi
Clim. Past, 9, 99–118, https://doi.org/10.5194/cp-9-99-2013, https://doi.org/10.5194/cp-9-99-2013, 2013
Related subject area
Landslides and Debris Flows Hazards
Brief communication: AI-driven rapid landslide mapping following the 2024 Hualien earthquake in Taiwan
Landslide activation during deglaciation in a fjord-dominated landscape: observations from southern Alaska (1984–2022)
Brief communication: Weak correlation between building damage and loss of life from landslides
Comparative analysis of μ(I) and Voellmy-type grain flow rheologies in geophysical mass flows: insights from theoretical and real case studies
Exploring implications of input parameter uncertainties in glacial lake outburst flood (GLOF) modelling results using the modelling code r.avaflow
Hillslope-Torrential Hazard Cascades in Tropical Mountains
From rockfall source area identification to susceptibility zonation: a proposed workflow tested on El Hierro (Canary Islands, Spain)
Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
Constraining landslide frequency across the United States to inform county-level risk reduction
Topographic controls on landslide mobility: modeling hurricane-induced landslide runout and debris-flow inundation in Puerto Rico
Characterizing the scale of regional landslide triggering from storm hydrometeorology
A participatory approach to determine the use of road cut slope design guidelines in Nepal to lessen landslides
An integrated method for assessing vulnerability of buildings caused by debris flows in mountainous areas
Identifying unrecognised risks to life from debris flows
Predicting the thickness of shallow landslides in Switzerland using machine learning
Unraveling landslide failure mechanisms with seismic signal analysis for enhanced pre-survey understanding
The Parraguirre ice-rock avalanche 1987, semi-arid Andes, Chile – A holistic revision
Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models
Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems
Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer
Limit analysis of earthquake-induced landslides considering two strength envelopes
The vulnerability of buildings to a large-scale debris flow and outburst flood hazard cascade that occurred on 30 August 2020 in Ganluo, southwest China
Optimizing rainfall-triggered landslide thresholds for daily landslide hazard warning in the Three Gorges Reservoir area
Is higher resolution always better? Open-access DEM comparison for Slope Units delineation and regional landslide prediction
Brief communication: Monitoring impending slope failure with very high-resolution spaceborne synthetic aperture radar
Size scaling of large landslides from incomplete inventories
InSAR-informed in situ monitoring for deep-seated landslides: insights from El Forn (Andorra)
A coupled hydrological and hydrodynamic modeling approach for estimating rainfall thresholds of debris-flow occurrence
More than one landslide per road kilometer – surveying and modeling mass movements along the Rishikesh–Joshimath (NH-7) highway, Uttarakhand, India
The dynamics of peak head responses at Dutch canal dikes and the impact of climate change
Transformations in Exposure to Debris Flows in Post-Earthquake Sichuan, China
Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy)
Shaping shallow landslide susceptibility as a function of rainfall events
Temporal clustering of precipitation for detection of potential landslides
Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China
Probabilistic assessment of postfire debris-flow inundation in response to forecast rainfall
Evaluating post-wildfire debris-flow rainfall thresholds and volume models at the 2020 Grizzly Creek Fire in Glenwood Canyon, Colorado, USA
Addressing class imbalance in soil movement predictions
Assessing the impact of climate change on landslides near Vejle, Denmark, using public data
Analysis of three-dimensional slope stability combined with rainfall and earthquake
Assessing landslide damming susceptibility in Central Asia
Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico
Evaluation of debris-flow building damage forecasts
Characteristics of debris-flow-prone watersheds and debris-flow-triggering rainstorms following the Tadpole Fire, New Mexico, USA
Morphological characteristics and conditions of drainage basins contributing to the formation of debris flow fans: an examination of regions with different rock strength using decision tree analysis
Comparison of debris flow observations, including fine-sediment grain size and composition and runout model results, at Illgraben, Swiss Alps
Simulation analysis of 3D stability of a landslide with a locking segment: a case study of the Tizicao landslide in Maoxian County, southwest China
Space–time landslide hazard modeling via Ensemble Neural Networks
Optimization strategy for flexible barrier structures: investigation and back analysis of a rockfall disaster case in southwestern China
Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment
Lorenzo Nava, Alessandro Novellino, Chengyong Fang, Kushanav Bhuyan, Kathryn Leeming, Itahisa Gonzalez Alvarez, Claire Dashwood, Sophie Doward, Rahul Chahel, Emma McAllister, Sansar Raj Meena, and Filippo Catani
Nat. Hazards Earth Syst. Sci., 25, 2371–2377, https://doi.org/10.5194/nhess-25-2371-2025, https://doi.org/10.5194/nhess-25-2371-2025, 2025
Short summary
Short summary
On 2 April 2024, a Mw 7.4 earthquake hit Taiwan's eastern coast, causing extensive landslides and damage. We used automated methods combining Earth observation (EO) data with AI to quickly inventory the landslides. This approach identified 7090 landslides over 75 km2 within 3 h of acquiring the EO imagery. The study highlights AI's role in improving landslide detection efforts in disaster response.
Jane Walden, Mylène Jacquemart, Bretwood Higman, Romain Hugonnet, Andrea Manconi, and Daniel Farinotti
Nat. Hazards Earth Syst. Sci., 25, 2045–2073, https://doi.org/10.5194/nhess-25-2045-2025, https://doi.org/10.5194/nhess-25-2045-2025, 2025
Short summary
Short summary
We studied eight glacier-adjacent landslides in Alaska and found that slope movement increased at four sites as the glacier retreated past the landslide area. Movement at other sites may be due to heavy precipitation or increased glacier thinning, and two sites showed little to no motion. We suggest that landslides near waterbodies may be especially vulnerable to acceleration, which we guess is due to faster retreat rates of water-terminating glaciers and changing water flow in the slope.
Maximillian Van Wyk de Vries, Alexandre Dunant, Amy L. Johnson, Erin L. Harvey, Sihan Li, Katherine Arrell, Jeevan Baniya, Dipak Basnet, Gopi K. Basyal, Nyima Dorjee Bhotia, Simon J. Dadson, Alexander L. Densmore, Tek Bahadur Dong, Mark E. Kincey, Katie Oven, Anuradha Puri, and Nick J. Rosser
Nat. Hazards Earth Syst. Sci., 25, 1937–1942, https://doi.org/10.5194/nhess-25-1937-2025, https://doi.org/10.5194/nhess-25-1937-2025, 2025
Short summary
Short summary
Mapping exposure to landslides is necessary to mitigate risk and reduce vulnerability. In this study, we show that there is a poor correlation between building damage and deaths from landslides, such that the deadliest landslides do not always destroy the most buildings and vice versa. This has important implications for our management of landslide risk.
Yu Zhuang, Brian W. McArdell, and Perry Bartelt
Nat. Hazards Earth Syst. Sci., 25, 1901–1912, https://doi.org/10.5194/nhess-25-1901-2025, https://doi.org/10.5194/nhess-25-1901-2025, 2025
Short summary
Short summary
The experimentally based μ(I) rheology, widely used for gravitational mass flows, is reinterpreted as a Voellmy-type relationship to highlight its link to grain flow theory. Through block modeling and case studies, we establish its equivalence to μ(R) rheology. μ(I) models shear thinning but fails to capture acceleration and deceleration processes and deposit structure. Incorporating fluctuation energy in μ(R) improves accuracy, refining mass flow modeling and revealing practical challenges.
Sonam Rinzin, Stuart Dunning, Rachel Joanne Carr, Ashim Sattar, and Martin Mergili
Nat. Hazards Earth Syst. Sci., 25, 1841–1864, https://doi.org/10.5194/nhess-25-1841-2025, https://doi.org/10.5194/nhess-25-1841-2025, 2025
Short summary
Short summary
We modelled multiple glacial lake outburst flood (GLOF) scenarios (84 simulations) and tested the effect of nine key input parameters on the modelling results using r.avaflow. Our results highlight that GLOF modelling results are subject to uncertainty from the multiple input parameters. The variation in the volume of mass movement entering the lake causes the highest uncertainty in the modelled GLOF, followed by the DEM dataset and the origin of mass movement.
Maria Isabel Arango-Carmona, Paul Voit, Marcel Hürlimann, Edier Aristizábal, and Oliver Korup
EGUsphere, https://doi.org/10.5194/egusphere-2025-1698, https://doi.org/10.5194/egusphere-2025-1698, 2025
Short summary
Short summary
We studied 22 cascading landslide and torrential events in tropical mountains to understand how rainfall, slopes, and soil types interact to trigger them. We found that extreme rainfall alone is not always the cause, but long wet periods and sediment type also play a role. Our findings can help improve warning systems and reduce disaster risks in vulnerable regions.
Roberto Sarro, Mauro Rossi, Paola Reichenbach, and Rosa María Mateos
Nat. Hazards Earth Syst. Sci., 25, 1459–1479, https://doi.org/10.5194/nhess-25-1459-2025, https://doi.org/10.5194/nhess-25-1459-2025, 2025
Short summary
Short summary
This study proposes a novel systematic workflow that integrates source area identification, deterministic runout modelling, the classification of runout outputs to derive susceptibility zonation, and robust procedures for validation and comparison. The proposed approach enables the integration and comparison of different modelling, introducing a robust and consistent workflow/methodology that allows us to derive and verify rockfall susceptibility zonation, considering different steps.
Matthias Schlögl, Anita Graser, Raphael Spiekermann, Jasmin Lampert, and Stefan Steger
Nat. Hazards Earth Syst. Sci., 25, 1425–1437, https://doi.org/10.5194/nhess-25-1425-2025, https://doi.org/10.5194/nhess-25-1425-2025, 2025
Short summary
Short summary
Communicating uncertainties is a crucial yet challenging aspect of spatial modelling – especially in applied research, where results inform decisions. In disaster risk reduction, susceptibility maps for natural hazards guide planning and risk assessment, yet their uncertainties are often overlooked. We present a new type of landslide susceptibility map that visualizes both susceptibility and associated uncertainty alongside guidelines for creating such maps using free and open-source software.
Lisa V. Luna, Jacob B. Woodard, Janice L. Bytheway, Gina M. Belair, and Benjamin B. Mirus
EGUsphere, https://doi.org/10.5194/egusphere-2025-947, https://doi.org/10.5194/egusphere-2025-947, 2025
Short summary
Short summary
Landslide frequency (how often landslides occur) is needed to assess landslide hazard and risk but has rarely been quantified at near continental scales. Here, we used statistical models to estimate landslide frequency across the United States while addressing gaps in landslide reporting. Our results showed strong variations in landslide frequency that followed topography, earthquake probability, and ecological region and highlighted areas with potential for widespread landsliding.
Dianne L. Brien, Mark E. Reid, Collin Cronkite-Ratcliff, and Jonathan P. Perkins
Nat. Hazards Earth Syst. Sci., 25, 1229–1253, https://doi.org/10.5194/nhess-25-1229-2025, https://doi.org/10.5194/nhess-25-1229-2025, 2025
Short summary
Short summary
Landslide runout zones are the areas downslope or downstream of landslide initiation. People often live and work in these areas, leading to property damage and deaths. Landslide runout may occur on hillslopes or in channels, requiring different modeling approaches. We develop methods to identify potential runout zones and apply these methods to identify susceptible areas for three municipalities in Puerto Rico.
Jonathan Perkins, Nina S. Oakley, Brian D. Collins, Skye C. Corbett, and W. Paul Burgess
Nat. Hazards Earth Syst. Sci., 25, 1037–1056, https://doi.org/10.5194/nhess-25-1037-2025, https://doi.org/10.5194/nhess-25-1037-2025, 2025
Short summary
Short summary
Rainfall-induced landslides result in deaths and economic losses annually across the globe. However, it is unclear how storm severity relates to landslide severity across large regions. Here we develop a method to dynamically map landslide-affected areas, and we compare this to meteorological estimates of storm severity. We find that preconditioning by earlier storms and the location of rainfall bursts, rather than atmospheric storm strength, dictate landslide magnitude and pattern.
Ellen B. Robson, Bhim Kumar Dahal, and David G. Toll
Nat. Hazards Earth Syst. Sci., 25, 949–973, https://doi.org/10.5194/nhess-25-949-2025, https://doi.org/10.5194/nhess-25-949-2025, 2025
Short summary
Short summary
Slopes excavated alongside roads in Nepal frequently fail (a landslide), resulting in substantial losses. Our participatory approach study with road engineers aimed to assess how road slope design guidelines in Nepal can be improved. Our study revealed inconsistent guideline adherence due to a lack of user-friendliness and inadequate training. We present general recommendations to enhance road slope management, as well as technical recommendations to improve the guidelines.
Chenchen Qiu and Xueyu Geng
Nat. Hazards Earth Syst. Sci., 25, 709–726, https://doi.org/10.5194/nhess-25-709-2025, https://doi.org/10.5194/nhess-25-709-2025, 2025
Short summary
Short summary
We propose an integrated method using a combination of a physical vulnerability matrix and a machine learning model to estimate the potential physical damage and associated economic loss caused by future debris flows based on collected historical data on the Qinghai–Tibet Plateau region.
Mark Bloomberg, Tim Davies, Elena Moltchanova, Tom Robinson, and David Palmer
Nat. Hazards Earth Syst. Sci., 25, 647–656, https://doi.org/10.5194/nhess-25-647-2025, https://doi.org/10.5194/nhess-25-647-2025, 2025
Short summary
Short summary
Debris flows occur infrequently, with average recurrence intervals (ARIs) ranging from decades to millennia. Consequently, they pose an underappreciated hazard. We describe how to make a preliminary identification of debris-flow-susceptible catchments, estimate threshold ARIs for debris flows that pose an unacceptable risk to life, and identify the “window of non-recognition” where debris flows are infrequent enough that their hazard is unrecognised yet frequent enough to pose a risk to life.
Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, Christine Moos, Arie C. Seijmonsbergen, and E. Emiel van Loon
Nat. Hazards Earth Syst. Sci., 25, 467–491, https://doi.org/10.5194/nhess-25-467-2025, https://doi.org/10.5194/nhess-25-467-2025, 2025
Short summary
Short summary
We developed a machine-learning-based approach to predict the potential thickness of shallow landslides to generate improved inputs for slope stability models. We selected 21 explanatory variables, including metrics on terrain, geomorphology, vegetation height, and lithology, and used data from two Swiss field inventories to calibrate and test the models. The best-performing machine learning model consistently reduced the mean average error by at least 20 % compared to previous models.
Jui-Ming Chang, Che-Ming Yang, Wei-An Chao, Chin-Shang Ku, Ming-Wan Huang, Tung-Chou Hsieh, and Chi-Yao Hung
Nat. Hazards Earth Syst. Sci., 25, 451–466, https://doi.org/10.5194/nhess-25-451-2025, https://doi.org/10.5194/nhess-25-451-2025, 2025
Short summary
Short summary
The study on the Cilan landslide (CL) demonstrates the utilization of seismic analysis results as preliminary data for geologists during field surveys. Spectrograms revealed that the first event of CL consisted of four sliding failures accompanied by a gradual reduction in landslide volume. The second and third events were minor toppling and rockfalls. Then combining the seismological-based knowledge and field survey results, the spatiotemporal variation in landslide evolution is proposed.
Johannes Jakob Fürst, David Farías-Barahona, Thomas Bruckner, Lucia Scaff, Martin Mergili, Santiago Montserrat, and Humberto Peña
EGUsphere, https://doi.org/10.5194/egusphere-2024-3103, https://doi.org/10.5194/egusphere-2024-3103, 2025
Short summary
Short summary
The 1987 Parraguirre ice-rock avalanche developed into a devastating debris-flow causing loss of many lives and inflicting severe damage near Santiago, Chile. Here, we revise this event combining various observational records with modelling techniques. In this year, important snow cover coincided with warm days in spring. We further quantify the total solid volume, and forward important upward corrections for the trigger and flood volumes. Finally, river damming was key for high flow mobility.
Marko Sinčić, Sanja Bernat Gazibara, Mauro Rossi, and Snježana Mihalić Arbanas
Nat. Hazards Earth Syst. Sci., 25, 183–206, https://doi.org/10.5194/nhess-25-183-2025, https://doi.org/10.5194/nhess-25-183-2025, 2025
Short summary
Short summary
The paper focuses on classifying continuous landslide conditioning factors for susceptibility modelling, which resulted in 54 landslide susceptibility models that tested 11 classification criteria in combination with 5 statistical methods. The novelty of the research is that using stretched landslide conditioning factor values results in models with higher accuracy and that certain statistical methods are more sensitive to the landslide conditioning factor classification criteria than others.
Benjamin B. Mirus, Thom Bogaard, Roberto Greco, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 25, 169–182, https://doi.org/10.5194/nhess-25-169-2025, https://doi.org/10.5194/nhess-25-169-2025, 2025
Short summary
Short summary
Early warning of increased landslide potential provides situational awareness to reduce landslide-related losses from major storm events. For decades, landslide forecasts relied on rainfall data alone, but recent research points to the value of hydrologic information for improving predictions. In this paper, we provide our perspectives on the value and limitations of integrating subsurface hillslope hydrologic monitoring data and mathematical modeling for more accurate landslide forecasts.
Jui-Sheng Chou, Hoang-Minh Nguyen, Huy-Phuong Phan, and Kuo-Lung Wang
Nat. Hazards Earth Syst. Sci., 25, 119–146, https://doi.org/10.5194/nhess-25-119-2025, https://doi.org/10.5194/nhess-25-119-2025, 2025
Short summary
Short summary
This study enhances landslide prediction using advanced machine learning, including new algorithms inspired by historical explorations. The research accurately forecasts landslide movements by analyzing 8 years of data from Taiwan's Lushan, improving early warning and potentially saving lives and infrastructure. This integration marks a significant advancement in environmental risk management.
Di Wu, Yuke Wang, and Xin Chen
Nat. Hazards Earth Syst. Sci., 24, 4617–4630, https://doi.org/10.5194/nhess-24-4617-2024, https://doi.org/10.5194/nhess-24-4617-2024, 2024
Short summary
Short summary
This paper proposes a 3D limit analysis for seismic stability of soil slopes to address the influence of earthquakes on slope stabilities with nonlinear and linear criteria. Comparison results illustrate that the use of a linear envelope leads to the non-negligible overestimation of steep-slope stability, and this overestimation will be significant with increasing earthquakes. Earthquakes have a smaller influence on slope slip surfaces with a nonlinear envelope than those with a linear envelope.
Li Wei, Kaiheng Hu, Shuang Liu, Lan Ning, Xiaopeng Zhang, Qiyuan Zhang, and Md. Abdur Rahim
Nat. Hazards Earth Syst. Sci., 24, 4179–4197, https://doi.org/10.5194/nhess-24-4179-2024, https://doi.org/10.5194/nhess-24-4179-2024, 2024
Short summary
Short summary
The damage patterns of the buildings were classified into three types: (I) buried by primary debris flow, (II) inundated by secondary dam-burst flood, and (III) sequentially buried by debris flow and inundated by dam-burst flood. The threshold of the impact pressures in Zones (II) and (III) where vulnerability is equal to 1 is 84 kPa and 116 kPa, respectively. Heavy damage occurs at an impact pressure greater than 50 kPa, while slight damage occurs below 30 kPa.
Bo Peng and Xueling Wu
Nat. Hazards Earth Syst. Sci., 24, 3991–4013, https://doi.org/10.5194/nhess-24-3991-2024, https://doi.org/10.5194/nhess-24-3991-2024, 2024
Short summary
Short summary
Our research enhances landslide prevention using advanced machine learning to forecast heavy-rainfall-triggered landslides. By analyzing regions and employing various models, we identified optimal ways to predict high-risk rainfall events. Integrating multiple factors and models, including a neural network, significantly improves landslide predictions. Real data validation confirms our approach's reliability, aiding communities in mitigating landslide impacts and safeguarding lives and property.
Mahnoor Ahmed, Giacomo Titti, Sebastiano Trevisani, Lisa Borgatti, and Mirko Francioni
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-211, https://doi.org/10.5194/nhess-2024-211, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
Elevation models are compared with a true dataset for terrain characteristics which selects a better ranking model to test with different parameters for partitioning the terrain. The partitioning of the terrain is measured by how well a partitioned unit can support the mapped landslide area and number of landslides. The effect of this relationship is reflected with different metrics in the susceptibility maps.
Andrea Manconi, Yves Bühler, Andreas Stoffel, Johan Gaume, Qiaoping Zhang, and Valentyn Tolpekin
Nat. Hazards Earth Syst. Sci., 24, 3833–3839, https://doi.org/10.5194/nhess-24-3833-2024, https://doi.org/10.5194/nhess-24-3833-2024, 2024
Short summary
Short summary
Our research reveals the power of high-resolution satellite synthetic-aperture radar (SAR) imagery for slope deformation monitoring. Using ICEYE data over the Brienz/Brinzauls instability, we measured surface velocity and mapped the landslide event with unprecedented precision. This underscores the potential of satellite SAR for timely hazard assessment in remote regions and aiding disaster mitigation efforts effectively.
Oliver Korup, Lisa V. Luna, and Joaquin V. Ferrer
Nat. Hazards Earth Syst. Sci., 24, 3815–3832, https://doi.org/10.5194/nhess-24-3815-2024, https://doi.org/10.5194/nhess-24-3815-2024, 2024
Short summary
Short summary
Catalogues of mapped landslides are useful for learning and forecasting how frequently they occur in relation to their size. Yet, rare and large landslides remain mostly uncertain in statistical summaries of these catalogues. We propose a single, consistent method of comparing across different data sources and find that landslide statistics disclose more about subjective mapping choices than trigger types or environmental settings.
Rachael Lau, Carolina Seguí, Tyler Waterman, Nathaniel Chaney, and Manolis Veveakis
Nat. Hazards Earth Syst. Sci., 24, 3651–3661, https://doi.org/10.5194/nhess-24-3651-2024, https://doi.org/10.5194/nhess-24-3651-2024, 2024
Short summary
Short summary
This work examines the use of interferometric synthetic-aperture radar (InSAR) alongside in situ borehole measurements to assess the stability of deep-seated landslides for the case study of El Forn (Andorra). Comparing InSAR with borehole data suggests a key trade-off between accuracy and precision for various InSAR resolutions. Spatial interpolation with InSAR informed how many remote observations are necessary to lower error in a remote sensing re-creation of ground motion over the landslide.
Zhen Lei Wei, Yue Quan Shang, Qiu Hua Liang, and Xi Lin Xia
Nat. Hazards Earth Syst. Sci., 24, 3357–3379, https://doi.org/10.5194/nhess-24-3357-2024, https://doi.org/10.5194/nhess-24-3357-2024, 2024
Short summary
Short summary
The initiation of debris flows is significantly influenced by rainfall-induced hydrological processes. We propose a novel framework based on an integrated hydrological and hydrodynamic model and aimed at estimating intensity–duration (ID) rainfall thresholds responsible for triggering debris flows. In comparison to traditional statistical approaches, this physically based framework is particularly suitable for application in ungauged catchments where historical debris flow data are scarce.
Jürgen Mey, Ravi Kumar Guntu, Alexander Plakias, Igo Silva de Almeida, and Wolfgang Schwanghart
Nat. Hazards Earth Syst. Sci., 24, 3207–3223, https://doi.org/10.5194/nhess-24-3207-2024, https://doi.org/10.5194/nhess-24-3207-2024, 2024
Short summary
Short summary
The Himalayan road network links remote areas, but fragile terrain and poor construction lead to frequent landslides. This study on the NH-7 in India's Uttarakhand region analyzed 300 landslides after heavy rainfall in 2022 . Factors like slope, rainfall, rock type and road work influence landslides. The study's model predicts landslide locations for better road maintenance planning, highlighting the risk from climate change and increased road use.
Bart Strijker and Matthijs Kok
EGUsphere, https://doi.org/10.5194/egusphere-2024-1495, https://doi.org/10.5194/egusphere-2024-1495, 2024
Short summary
Short summary
This study examines how hydraulic head levels in canal dikes respond to heavy rainfall, potentially causing instabilities and flooding. Using time series models and simulating long-term head levels, we identified clusters of dikes where head peaks are driven by similar rainfall events. Statistical analyses show that extreme and yearly conditions are close. However, extreme conditions are expected to become more frequent due to climate change, though some dikes will be less affected than others.
Isabelle Utley, Tristram Hales, Ekbal Hussain, and Xuanmei Fan
EGUsphere, https://doi.org/10.5194/egusphere-2024-2277, https://doi.org/10.5194/egusphere-2024-2277, 2024
Short summary
Short summary
We analysed debris flows in Sichuan, China, using satellite data and simulations to assess check dam efficacy. Our study found whilst check dams can mitigate smaller flows, they may increase exposure to extreme events, with up to 40 % of structures in some areas affected. Urban development and reliance on check dams can create a false sense of security, raising exposure during large debris flows and highlights the need for risk management and infrastructure planning in hazard-prone areas.
Daniel Camilo Roman Quintero, Pasquale Marino, Abdullah Abdullah, Giovanni Francesco Santonastaso, and Roberto Greco
EGUsphere, https://doi.org/10.5194/egusphere-2024-2329, https://doi.org/10.5194/egusphere-2024-2329, 2024
Short summary
Short summary
Local thresholds for landslide forecasting, combining hydrologic predisposing factors and rainfall features, are developed from a physically based model of a slope. To extend their application to a wide area, uncertainty due to spatial variability of geomorphological and hydrologic variables is introduced. The obtained hydrometeorological thresholds, integrating root zone soil moisture and aquifer water level with rainfall depth, outperform thresholds based on rain intensity and duration.
Micol Fumagalli, Alberto Previati, Paolo Frattini, and Giovanni B. Crosta
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-140, https://doi.org/10.5194/nhess-2024-140, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
Shallow landslides are mass movements of limited thickness, mainly triggered by extreme rainfalls, that can pose a serious risk to the population. This study uses statistical methods to analyse and simulate the relationship between shallow landslides and rainfalls, showing that in the studied area shallow landslides are modulated by rainfall but controlled by lithology. A new classification method considering the costs associated with a misclassification of the susceptibility is also proposed.
Fabiola Banfi, Emanuele Bevacqua, Pauline Rivoire, Sérgio C. Oliveira, Joaquim G. Pinto, Alexandre M. Ramos, and Carlo De Michele
Nat. Hazards Earth Syst. Sci., 24, 2689–2704, https://doi.org/10.5194/nhess-24-2689-2024, https://doi.org/10.5194/nhess-24-2689-2024, 2024
Short summary
Short summary
Landslides are complex phenomena causing important impacts in vulnerable areas, and they are often triggered by rainfall. Here, we develop a new approach that uses information on the temporal clustering of rainfall, i.e. multiple events close in time, to detect landslide events and compare it with the use of classical empirical rainfall thresholds, considering as a case study the region of Lisbon, Portugal. The results could help to improve the prediction of rainfall-triggered landslides.
Jianqi Zhuang, Jianbing Peng, Chenhui Du, Yi Zhu, and Jiaxu Kong
Nat. Hazards Earth Syst. Sci., 24, 2615–2631, https://doi.org/10.5194/nhess-24-2615-2024, https://doi.org/10.5194/nhess-24-2615-2024, 2024
Short summary
Short summary
The Revised Infinite Slope Model (RISM) is proposed using the equal differential unit method and correcting the deficiency of the safety factor increasing with the slope increasing when the slope is larger than 40°, as calculated using the Taylor slope infinite model. The intensity–duration (I–D) prediction curve of the rainfall-induced shallow loess landslides with different slopes was constructed and can be used in forecasting regional shallow loess landslides.
Alexander B. Prescott, Luke A. McGuire, Kwang-Sung Jun, Katherine R. Barnhart, and Nina S. Oakley
Nat. Hazards Earth Syst. Sci., 24, 2359–2374, https://doi.org/10.5194/nhess-24-2359-2024, https://doi.org/10.5194/nhess-24-2359-2024, 2024
Short summary
Short summary
Fire can dramatically increase the risk of debris flows to downstream communities with little warning, but hazard assessments have not traditionally included estimates of inundation. We unify models developed by the scientific community to create probabilistic estimates of inundation area in response to rainfall at forecast lead times (≥ 24 h) needed for decision-making. This work takes an initial step toward a near-real-time postfire debris-flow inundation hazard assessment product.
Francis K. Rengers, Samuel Bower, Andrew Knapp, Jason W. Kean, Danielle W. vonLembke, Matthew A. Thomas, Jaime Kostelnik, Katherine R. Barnhart, Matthew Bethel, Joseph E. Gartner, Madeline Hille, Dennis M. Staley, Justin K. Anderson, Elizabeth K. Roberts, Stephen B. DeLong, Belize Lane, Paxton Ridgway, and Brendan P. Murphy
Nat. Hazards Earth Syst. Sci., 24, 2093–2114, https://doi.org/10.5194/nhess-24-2093-2024, https://doi.org/10.5194/nhess-24-2093-2024, 2024
Short summary
Short summary
Every year the U.S. Geological Survey produces 50–100 postfire debris-flow hazard assessments using models for debris-flow likelihood and volume. To refine these models they must be tested with datasets that clearly document rainfall, debris-flow response, and debris-flow volume. These datasets are difficult to obtain, but this study developed and analyzed a postfire dataset with more than 100 postfire storm responses over a 2-year period. We also proposed ways to improve these models.
Praveen Kumar, Priyanka Priyanka, Kala Venkata Uday, and Varun Dutt
Nat. Hazards Earth Syst. Sci., 24, 1913–1928, https://doi.org/10.5194/nhess-24-1913-2024, https://doi.org/10.5194/nhess-24-1913-2024, 2024
Short summary
Short summary
Our study focuses on predicting soil movement to mitigate landslide risks. We develop machine learning models with oversampling techniques to address the class imbalance in monitoring data. The dynamic ensemble model with K-means SMOTE (synthetic minority oversampling technique) achieves high precision, high recall, and a high F1 score. Our findings highlight the potential of these models with oversampling techniques to improve soil movement predictions in landslide-prone areas.
Kristian Svennevig, Julian Koch, Marie Keiding, and Gregor Luetzenburg
Nat. Hazards Earth Syst. Sci., 24, 1897–1911, https://doi.org/10.5194/nhess-24-1897-2024, https://doi.org/10.5194/nhess-24-1897-2024, 2024
Short summary
Short summary
In our study, we analysed publicly available data in order to investigate the impact of climate change on landslides in Denmark. Our research indicates that the rising groundwater table due to climate change will result in an increase in landslide activity. Previous incidents of extremely wet winters have caused damage to infrastructure and buildings due to landslides. This study is the first of its kind to exclusively rely on public data and examine landslides in Denmark.
Jiao Wang, Zhangxing Wang, Guanhua Sun, and Hongming Luo
Nat. Hazards Earth Syst. Sci., 24, 1741–1756, https://doi.org/10.5194/nhess-24-1741-2024, https://doi.org/10.5194/nhess-24-1741-2024, 2024
Short summary
Short summary
With a simplified formula linking rainfall and groundwater level, the rise of the phreatic surface within the slope can be obtained. Then, a global analysis method that considers both seepage and seismic forces is proposed to determine the safety factor of slopes subjected to the combined effect of rainfall and earthquakes. By taking a slope in the Three Gorges Reservoir area as an example, the safety evolution of the slope combined with both rainfall and earthquake is also examined.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umaraliev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 1697–1720, https://doi.org/10.5194/nhess-24-1697-2024, https://doi.org/10.5194/nhess-24-1697-2024, 2024
Short summary
Short summary
Central Asia regions are marked by active tectonics, high mountains with glaciers, and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of possible damming scenarios, which endanger the population. To prevent this, a semi-automated geographic information system (GIS-)based mapping method, centered on a bivariate correlation of morphometric parameters, was applied to give preliminary information on damming susceptibility in Central Asia.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci., 24, 1579–1605, https://doi.org/10.5194/nhess-24-1579-2024, https://doi.org/10.5194/nhess-24-1579-2024, 2024
Short summary
Short summary
We mapped potential for heavy rainfall to cause landslides in part of the central mountains of Puerto Rico using new tools for estimating soil depth and quasi-3D slope stability. Potential ground-failure locations correlate well with the spatial density of landslides from Hurricane Maria. The smooth boundaries of the very high and high ground-failure susceptibility zones enclose 75 % and 90 %, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 24, 1459–1483, https://doi.org/10.5194/nhess-24-1459-2024, https://doi.org/10.5194/nhess-24-1459-2024, 2024
Short summary
Short summary
Debris flows are a type of fast-moving landslide that start from shallow landslides or during intense rain. Infrastructure located downstream of watersheds susceptible to debris flows may be damaged should a debris flow reach them. We present and evaluate an approach to forecast building damage caused by debris flows. We test three alternative models for simulating the motion of debris flows and find that only one can forecast the correct number and spatial pattern of damaged buildings.
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
Nat. Hazards Earth Syst. Sci., 24, 1357–1379, https://doi.org/10.5194/nhess-24-1357-2024, https://doi.org/10.5194/nhess-24-1357-2024, 2024
Short summary
Short summary
Runoff and erosion increase after fire, leading to a greater likelihood of floods and debris flows. We monitored debris flow activity following a fire in western New Mexico, USA, and observed 16 debris flows over a <2-year monitoring period. Rainstorms with recurrence intervals of approximately 1 year were sufficient to initiate debris flows. All debris flows initiated during the first several months following the fire, indicating a rapid decrease in debris flow susceptibility over time.
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci., 24, 1287–1301, https://doi.org/10.5194/nhess-24-1287-2024, https://doi.org/10.5194/nhess-24-1287-2024, 2024
Short summary
Short summary
Morphological conditions of drainage basins that classify the presence or absence of debris flow fans were analyzed in areas with different rock strength using decision tree analysis. The relief ratio is the most important morphological factor regardless of the geology. However, the thresholds of morphological parameters needed for forming debris flow fans differ depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci., 24, 1035–1049, https://doi.org/10.5194/nhess-24-1035-2024, https://doi.org/10.5194/nhess-24-1035-2024, 2024
Short summary
Short summary
We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled these flows with a debris flow runout model. We found that no correlation exists between the grain size distribution, the mineralogical composition of the matrix, and the debris flow properties. The flow properties rather appear to be determined by the flow volume, from which most other parameters can be derived.
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
Nat. Hazards Earth Syst. Sci., 24, 891–906, https://doi.org/10.5194/nhess-24-891-2024, https://doi.org/10.5194/nhess-24-891-2024, 2024
Short summary
Short summary
We developed three rock bridge models to analyze 3D stability and deformation behaviors of the Tizicao landslide and found that the contact surface model with high strength parameters combines advantages of the intact rock mass model in simulating the deformation of slopes with rock bridges and the modeling advantage of the Jennings model. The results help in choosing a rock bridge model to simulate landslide stability and reveal the influence laws of rock bridges on the stability of landslides.
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845, https://doi.org/10.5194/nhess-24-823-2024, https://doi.org/10.5194/nhess-24-823-2024, 2024
Short summary
Short summary
We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
Li-Ru Luo, Zhi-Xiang Yu, Li-Jun Zhang, Qi Wang, Lin-Xu Liao, and Li Peng
Nat. Hazards Earth Syst. Sci., 24, 631–649, https://doi.org/10.5194/nhess-24-631-2024, https://doi.org/10.5194/nhess-24-631-2024, 2024
Short summary
Short summary
We performed field investigations on a rockfall near Jiguanshan National Forest Park, Chengdu. Vital information was obtained from an unmanned aerial vehicle survey. A finite element model was created to reproduce the damage evolution. We found that the impact kinetic energy was below the design protection energy. Improper member connections prevent the barrier from producing significant deformation to absorb energy. Damage is avoided by improving the ability of the nets and ropes to slide.
Sudhanshu Dixit, Srikrishnan Siva Subramanian, Piyush Srivastava, Ali P. Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci., 24, 465–480, https://doi.org/10.5194/nhess-24-465-2024, https://doi.org/10.5194/nhess-24-465-2024, 2024
Short summary
Short summary
Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards. Large-scale sediment disasters like landslides, debris flows, and flash floods happen frequently in the Himalayas because of their propensity for intense precipitation events. We provide a new framework that combines the Weather Research and Forecasting (WRF) model with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
Cited articles
Binet, S., Jomard, H., Lebourg, T., Guglielmi, Y., Tric, E., Bertrand, C., and Mudry, J.: Experimental analysis of groundwater flow through a landslide slip surface using natural and artificial water chemical tracers, Hydrol.
Process., 21, 3463–3472, https://doi.org/10.1002/hyp.6579, 2007. a, b
Blasch, K. W. and Bryson, J. R.: Distinguishing Sources of Ground Water
Recharge by Using δ2H and δ18O, Groundwater, 45, 294–308, https://doi.org/10.1111/j.1745-6584.2006.00289.x, 2007. a, b
Bogaard, T., Guglielmi, Y., Marc, V., Emblanch, C., Bertrand, C., and Mudry,
J.: Hydrogeochemistry in landslide research: a review, Bulletin de la
Société Géologique de France, 178, 113–126, https://doi.org/10.2113/gssgfbull.178.2.113, 2007. a
Bogaard, T. A. and Greco, R.: Landslide hydrology: from hydrology to pore
pressure, WIREs Water, 3, 439–459, https://doi.org/10.1002/wat2.1126, 2016. a
Bonzanigo, L., Eberhardt, E., and Loew, S.: Long-term investigation of a
deep-seated creeping landslide in crystalline rock. Part I. Geological and
hydromechanical factors controlling the Campo Vallemaggia landslide, Can.
Geotech. J., 44, 1157–1180, https://doi.org/10.1139/T07-043, 2007. a
Bouchaou, L., Michelot, J., Vengosh, A., Hsissou, Y., Qurtobi, M., Gaye, C.,
Bullen, T., and Zuppi, G.: Application of multiple isotopic and geochemical
tracers for investigation of recharge, salinization, and residence time of
water in the Souss–Massa aquifer, southwest of Morocco, J. Hydrol., 352, 267–287, https://doi.org/10.1016/j.jhydrol.2008.01.022, 2008. a
Cappa, F., Guglielmi, Y., Soukatchoff, V., Mudry, J., Bertrand, C., and
Charmoille, A.: Hydromechanical modeling of a large moving rock slope
inferred from slope levelling coupled to spring long-term hydrochemical
monitoring: example of the La Clapière landslide (Southern Alps, France), J. Hydrol., 291, 67–90, https://doi.org/10.1016/j.jhydrol.2003.12.013, 2004. a, b
Cervi, F., Ronchetti, F., Martinelli, G., Bogaard, T. A., and Corsini, A.:
Origin and assessment of deep groundwater inflow in the Ca' Lita landslide
using hydrochemistry and in situ monitoring, Hydrol. Earth Syst. Sci., 16, 4205–4221, https://doi.org/10.5194/hess-16-4205-2012, 2012. a, b
Chalikakis, K., Plagnes, V., Guerin, R., Valois, R., and Bosch, F. P.:
Contribution of geophysical methods to karst-system exploration: an overview,
Hydrogeol. J., 19, 1169, https://doi.org/10.1007/s10040-011-0746-x, 2011. a
Cignetti, M., Godone, D., Zucca, F., Bertolo, D., and Giordan, D.: Impact of
Deep-seated Gravitational Slope Deformation on urban areas and large
infrastructures in the Italian Western Alps, Sci. Total Environ., 740, 140360, https://doi.org/10.1016/j.scitotenv.2020.140360, 2020. a
Clark, I. D. and Fritz, P.: Environmental isotopes in hydrogeology, 1st Edn.,
CRC Press, https://doi.org/10.1201/9781482242911, 1997 a, b
Cronshey, R., McCuen, R. H., Miller, N., Rawls, W., Robbins, S., and Woodward, D.: Urban hydrology for small watersheds, US Dept. of Agriculture, Soil Conservation Service, Engineering Division, https://tamug-ir.tdl.org/handle/1969.3/24438 (last access: 28 June 2022), 1986. a
Crosta, G., Frattini, P., and Agliardi, F.: Deep seated gravitational slope
deformations in the European Alps, Tectonophysics, 605, 13–33,
https://doi.org/10.1016/j.tecto.2013.04.028, 2013. a
Dansgaard, W.: Stable isotopes in precipitation, Tellus, 16, 436–468,
https://doi.org/10.3402/tellusa.v16i4.8993, 1964. a
Eberhardt, E., Bonzanigo, L., and Loew, S.: Long-term investigation of a
deep-seated creeping landslide in crystalline rock. Part II. Mitigation
measures and numerical modelling of deep drainage at Campo Vallemaggia, Can. Geotech. J., 44, 1181–1199, https://doi.org/10.1139/T07-044, 2007. a
Gröning, M., Lutz, H., Roller-Lutz, Z., Kralik, M., Gourcy, L., and
Pöltenstein, L.: A simple rain collector preventing water re-evaporation
dedicated for δ18O and δ2H analysis of cumulative precipitation samples, J. Hydrol., 448–449, 195–200, https://doi.org/10.1016/j.jhydrol.2012.04.041, 2012. a
Guglielmi, Y., Vengeon, J., Bertrand, C., Mudry, J., Follacci, J., and Giraud, A.: Hydrogeochemistry: an investigation tool to evaluate infiltration into large moving rock masses (case study of La Clapière and Séchilienne alpine landslides), Bull. Eng. Geol. Environ., 61, 311–324, https://doi.org/10.1007/s10064-001-0144-z, 2002. a, b, c, d, e, f
Hilberg, S.: Review: Natural tracers in fractured hard-rock aquifers in the
Austrian part of the Eastern Alps–previous approaches and future
perspectives for hydrogeology in mountain regions, Hydrogeol. J., 24, 1091–1105, https://doi.org/10.1007/s10040-016-1395-x, 2016. a
Hilberg, S. and Riepler, F.: Interaction of various flow systems in small
alpine catchments: conceptual model of the upper Gurk Valley aquifer, Carinthia, Austria, Hydrogeol. J., 24, 1231–1244, https://doi.org/10.1007/s10040-016-1396-9, 2016. a, b
Hofmann, R. and Sausgruber, J. T.: Creep behaviour and remediation concept for a deep-seated landslide, Navistal, Tyrol, Austria, Geomech. Tunnel., 10, 59–73, https://doi.org/10.1002/geot.201600066, 2017. a
Humer, G., Herlicska, H., Rank, D., Trimborn, P., and Stichler, W.:
Niederschlagsisotopenmessnetz Österreich, Bundesministerium für Umwelt, ISBN 3-85457-223-9, 1995. a
Jasechko, S., Birks, S. J., Gleeson, T., Wada, Y., Fawcett, P. J., Sharp,
Z. D., McDonnell, J. J., and Welker, J. M.: The pronounced seasonality of
global groundwater recharge, Water Resour. Res., 50, 8845–8867,
https://doi.org/10.1002/2014WR015809, 2014. a
Jomard, H., Lebourg, T., and Tric, E.: Identification of the gravitational
boundary in weathered gneiss by geophysical survey: La Clapière landslide
(France), J. Appl. Geophys., 62, 47–57, https://doi.org/10.1016/j.jappgeo.2006.07.003, 2007. a
Koltai, G., Ostermann, M., Cheng, H., and Spötl, C.: Can vein-filling
speleothems constrain the timing of deep-seated gravitational slope
deformation? A case study from the Vinschgau (Italian Alps), Landslides, 15,
2243–2254, https://doi.org/10.1007/s10346-018-1032-y, 2018. a
Kumar, P., Debele, S. E., Sahani, J., Rawat, N., Marti-Cardona, B., Alfieri,
S. M., Basu, B., Basu, A. S., Bowyer, P., Charizopoulos, N., Gallotti, G.,
Jaakko, J., Leo, L. S., Loupis, M., Menenti, M., Mickovski, S. B., Mun,
S.-J., Gonzalez-Ollauri, A., Pfeiffer, J., Pilla, F., Pröll, J., Rutzinger, M., Santo, M. A., Sannigrahi, S., Spyrou, C., Tuomenvirta, H., and Zieher, T.: Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations, Sci. Total Environ., 784, 147058, https://doi.org/10.1016/j.scitotenv.2021.147058, 2021a. a
Kumar, P., Debele, S. E., Sahani, J., Rawat, N., Marti-Cardona, B., Alfieri,
S. M., Basu, B., Basu, A. S., Bowyer, P., Charizopoulos, N., Jaakko, J.,
Loupis, M., Menenti, M., Mickovski, S. B., Pfeiffer, J., Pilla, F., Pröll, J., Pulvirenti, B., Rutzinger, M., Sannigrahi, S., Spyrou, C., Tuomenvirta, H., Vojinovic, Z., and Zieher, T.: An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards, Earth-Sci. Rev., 217, 103603, https://doi.org/10.1016/j.earscirev.2021.103603, 2021b. a
Lacroix, P., Handwerger, A. L., and Bièvre, G.: Life and death of
slow-moving landslides, Nat. Rev. Earth Environ., 1, 404–419,
https://doi.org/10.1038/s43017-020-0072-8, 2020. a
Lajaunie, M., Gance, J., Nevers, P., Malet, J.-P., Bertrand, C., Garin, T., and Ferhat, G.: Structure of the Séchilienne unstable slope from large-scale three-dimensional electrical tomography using a Resistivity Distributed Automated System (R-DAS), Geophys. J. Int., 219, 129–147,
https://doi.org/10.1093/gji/ggz259, 2019. a
Liebminger, A., Haberhauer, G., Papesch, W., and Heiss, G.: Correlation of the isotopic composition in precipitation with local conditions in alpine
regions, J. Geophys. Res.-Atmos., 111, D05104, https://doi.org/10.1029/2005JD006258, 2006. a, b, c
McGuire, K. J., McDonnell, J. J., Weiler, M., Kendall, C., McGlynn, B. L.,
Welker, J. M., and Seibert, J.: The role of topography on catchment-scale
water residence time, Water Resour. Res., 41, W05002, https://doi.org/10.1029/2004WR003657, 2005. a
Mikoš, M., Četina, M., and Brilly, M.: Hydrologic conditions responsible for triggering the Stože landslide, Slovenia, Eng. Geol., 73, 193–213, https://doi.org/10.1016/j.enggeo.2004.01.011, 2004. a
Montety, V. d., Marc, V., Emblanch, C., Malet, J.-P., Bertrand, C., Maquaire,
O., and Bogaard, T.: Identifying the origin of groundwater and flow processes in complex landslides affecting black marls: insights from a hydrochemical survey, Earth Surf. Proc. Land., 32, 32–48, https://doi.org/10.1002/esp.1370, 2007. a
Mook, W.: Introduction to Isotope Hydrology. Stable and Radioactive Isotopes of Hydrogen, Oxygen and Carbon., Taylo & Francis Group, ISBN 9780415398053, 2006. a
Pfeiffer, J., Zieher, T., Schmieder, J., Rutzinger, M., and Strasser, U.:
Spatio-temporal assessment of the hydrological drivers of an active
deep-seated gravitational slope deformation: The Vögelsberg landslide in
Tyrol (Austria), Earth Surf. Proc. Land., 46, 1865–1881, https://doi.org/10.1002/esp.5129, 2021. a, b, c, d, e, f, g, h, i, j, k
Pfeiffer, J, Zieher, T., Schmieder, J., Bogaard, T., Rutzinger, M., and Spötl, C.: Hydrogeological data of groundwater and precipitation monitored in the Vögelsberg landslide catchment (1.0), Zenodo [data set], https://doi.org/10.5281/zenodo.5817141, 2022. a
R Core Team: R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria,
https://www.R-project.org/, last access: 30 November 2021. a
Rockenschaub, M., Kolenprat, B., and Nowotny, A.: Innsbrucker
Quarzphyllitkomplex, Tarntaler Mesozoikum, Patscherkofelkristallin,
Geologische Bundesanstalt – Arbeitstagung 2003: Blatt 148 Brenner, 41–58, https://opac.geologie.ac.at/wwwopacx/wwwopac.ashx?command=getcontent&server=images&value=ATA_2003_Seite_001_282.pdf (last access: 28 June 2021), 2003. a
Rodgers, P., Soulsby, C., and Waldron, S.: Stable isotope tracers as diagnostic tools in upscaling flow path understanding and residence time estimates in a mountainous mesoscale catchment, Hydrol. Process., 19, 2291–2307, https://doi.org/10.1002/hyp.5677, 2005a. a
Rodgers, P., Soulsby, C., Waldron, S., and Tetzlaff, D.: Using stable isotope
tracers to assess hydrological flow paths, residence times and landscape
influences in a nested mesoscale catchment, Hydrol. Earth Syst. Sci., 9, 139–155, https://doi.org/10.5194/hess-9-139-2005, 2005b. a
Ronchetti, F., Piccinini, L., Deiana, M., Ciccarese, G., Vincenzi, V.,
Aguzzoli, A., Malavasi, G., Fabbri, P., and Corsini, A.: Tracer test to
assess flow and transport parameters of an earth slide: The Montecagno
landslide case study (Italy), Eng. Geol., 275, 105749,
https://doi.org/10.1016/j.enggeo.2020.105749, 2020. a, b, c, d
Scanlon, B. R., Healy, R. W., and Cook, P. G.: Choosing appropriate techniques for quantifying groundwater recharge, Hydrogeol. J., 10, 18–39,
https://doi.org/10.1007/s10040-001-0176-2, 2002. a
Schmieder, J., Hanzer, F., Marke, T., Garvelmann, J., Warscher, M., Kunstmann, H., and Strasser, U.: The importance of snowmelt spatiotemporal variability for isotope-based hydrograph separation in a high-elevation catchment, Hydrol. Earth Syst. Sci., 20, 5015–5033,
https://doi.org/10.5194/hess-20-5015-2016, 2016. a
Siemon, B., Christiansen, A. V., and Auken, E.: A review of helicopter-borne
electromagnetic methods for groundwater exploration, Near Surf. Geophys., 7, 629–646, https://doi.org/10.3997/1873-0604.2009043, 2009. a
Strauhal, T., Prager, C., Millen, B., Spoetl, C., Zangerl, C., and Brandner,
R.: Aquifer geochemistry of crystalline rocks and Quaternary deposits in a
high altitude alpine environment (Kauner Valley, Austria), Aust. J. Earth Sci., 109, 29–44, https://doi.org/10.17738/ajes.2016.0002, 2016.
a
Tetzlaff, D., Soulsby, C., Waldron, S., Malcolm, I. A., Bacon, P. J., Dunn,
S. M., Lilly, A., and Youngson, A. F.: Conceptualization of runoff processes
using a geographical information system and tracers in a nested mesoscale
catchment, Hydrol. Process., 21, 1289–1307, https://doi.org/10.1002/hyp.6309, 2007. a
Vallet, A., Bertrand, C., Mudry, J., Bogaard, T., Fabbri, O., Baudement, C.,
and Régent, B.: Contribution of time-related environmental tracing
combined with tracer tests for characterization of a groundwater conceptual
model: a case study at the Séchilienne landslide, western Alps (France),
Hydrogeol. J., 23, 1761–1779, 2015. a, b, c, d, e, f
van Geldern, R. and Barth, J. A.: Optimization of instrument setup and post-run corrections for oxygen and hydrogen stable isotope measurements of water by isotope ratio infrared spectroscopy (IRIS), Limnol. Oceanogr.:
Meth., 10, 1024–1036, https://doi.org/10.4319/lom.2012.10.1024, 2012. a
Welch, L. A. and Allen, D. M.: Hydraulic conductivity characteristics in
mountains and implications for conceptualizing bedrock groundwater flow,
Hydrogeol. J., 22, 1003–1026, https://doi.org/10.1007/s10040-014-1121-5, 2014. a
Zieher, T., Markart, G., Ottowitz, D., Römer, A., Rutzinger, M., Meißl, G., and Geitner, C.: Water content dynamics at plot scale – comparison of time-lapse electrical resistivity tomography monitoring and pore pressure modelling, J. Hydrol., 544, 195–209,
https://doi.org/10.1016/j.jhydrol.2016.11.019, 2017. a
Short summary
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.
The activity of slow-moving deep-seated landslides is commonly governed by pore pressure...
Altmetrics
Final-revised paper
Preprint
Similar articles
Brief communication: AI-driven rapid...
Nava et al.
Landslide activation during deglaciation...
Walden et al.
Brief communication: Weak correlation...
Wyk de Vries et al.