Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-3723-2026
© Author(s) 2026. 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-26-3723-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Climate change may increase landslide frequency despite generally drier conditions in the Mediterranean area
Daniel Camilo Roman Quintero
CORRESPONDING AUTHOR
Dipartiemento di Ingenieria, Università degli Studi della Campania “Luigi Vanvitelli”, Aversa, Italy
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Ruud van der Ent
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Thom Bogaard
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Roberto Greco
Dipartiemento di Ingenieria, Università degli Studi della Campania “Luigi Vanvitelli”, Aversa, Italy
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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 the 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.
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Preprint archived
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Yi Luo, Jiaming Zhang, Zhi Zhou, Juan P. Aguilar-Lopez, Roberto Greco, and Thom Bogaard
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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.
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Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Thom Bogaard, Martin Rutzinger, and Christoph Spötl
Nat. Hazards Earth Syst. Sci., 22, 2219–2237, https://doi.org/10.5194/nhess-22-2219-2022, https://doi.org/10.5194/nhess-22-2219-2022, 2022
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The activity of slow-moving deep-seated landslides is commonly governed by pore pressure variations within the shear zone. Groundwater recharge as a consequence of precipitation therefore is a process regulating the activity of landslides. In this context, we present a highly automated geo-statistical approach to spatially assess groundwater recharge controlling the velocity of a deep-seated landslide in Tyrol, Austria.
Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard
Nat. Hazards Earth Syst. Sci., 22, 1723–1742, https://doi.org/10.5194/nhess-22-1723-2022, https://doi.org/10.5194/nhess-22-1723-2022, 2022
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This research tested the value of regional groundwater level information to improve landslide predictions with empirical models based on the concept of threshold levels. In contrast to precipitation-based thresholds, the results indicated that relying on threshold models exclusively defined using hydrological variables such as groundwater levels can lead to improved landslide predictions due to their implicit consideration of long-term antecedent conditions until the day of landslide occurrence.
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
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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.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
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Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
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Editorial statement
The assessment of climate change impacts on rainfall-triggered shallow landslides in the Campania Region shows that, despite the trend toward drier conditions, landslide occurrence is projected to increase. In this study like in some previous ones conducted for a nearby region, projections indicate a greater increase in landslide frequency under the RCP4.5 scenario than under the RCP8.5 scenario. The authors show that this counter-intuitive result is related to the critical role of antecedent soil moisture in landslide initiation.
The assessment of climate change impacts on rainfall-triggered shallow landslides in the...
Short summary
We present a framework linking projected rainfall with hydro-mechanical processes to assess landslide occurrences in a Mediterranean area, under RCP4.5 and RCP8.5. Despite generally drier soils, landslide frequency rises because shifts in the timing and intensity of rainfall, altering antecedent soil moisture during triggering events. This counterintuitive result highlights the importance of rainfall patterns in slope stability and informs climate-risk assessment and adaptation planning.
We present a framework linking projected rainfall with hydro-mechanical processes to assess...
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