Articles | Volume 25, issue 11
https://doi.org/10.5194/hess-25-5937-2021
https://doi.org/10.5194/hess-25-5937-2021
Research article
 | 
15 Nov 2021
Research article |  | 15 Nov 2021

Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions

Elena Leonarduzzi, Brian W. McArdell, and Peter Molnar

Related authors

Simulation-based inference for parameter estimation of complex watershed simulators
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024,https://doi.org/10.5194/hess-28-4685-2024, 2024
Short summary
Using simulation-based inference to determine the parameters of an integrated hydrologic model: a case study from the upper Colorado River basin
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-345,https://doi.org/10.5194/hess-2022-345, 2022
Publication in HESS not foreseen
Short summary
Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment
Jacob Hirschberg, Alexandre Badoux, Brian W. McArdell, Elena Leonarduzzi, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 21, 2773–2789, https://doi.org/10.5194/nhess-21-2773-2021,https://doi.org/10.5194/nhess-21-2773-2021, 2021
Short summary
Deriving rainfall thresholds for landsliding at the regional scale: daily and hourly resolutions, normalisation, and antecedent rainfall
Elena Leonarduzzi and Peter Molnar
Nat. Hazards Earth Syst. Sci., 20, 2905–2919, https://doi.org/10.5194/nhess-20-2905-2020,https://doi.org/10.5194/nhess-20-2905-2020, 2020
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Assessing rainfall radar errors with an inverse stochastic modelling framework
Amy C. Green, Chris Kilsby, and András Bárdossy
Hydrol. Earth Syst. Sci., 28, 4539–4558, https://doi.org/10.5194/hess-28-4539-2024,https://doi.org/10.5194/hess-28-4539-2024, 2024
Short summary
Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
Hydrol. Earth Syst. Sci., 28, 4455–4476, https://doi.org/10.5194/hess-28-4455-2024,https://doi.org/10.5194/hess-28-4455-2024, 2024
Short summary
Spatiotemporal responses of runoff to climate change in the southern Tibetan Plateau
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci., 28, 4361–4381, https://doi.org/10.5194/hess-28-4361-2024,https://doi.org/10.5194/hess-28-4361-2024, 2024
Short summary
FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America
Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford
Hydrol. Earth Syst. Sci., 28, 4127–4155, https://doi.org/10.5194/hess-28-4127-2024,https://doi.org/10.5194/hess-28-4127-2024, 2024
Short summary
On the combined use of rain gauges and GPM IMERG satellite rainfall products for hydrological modelling: impact assessment of the cellular-automata-based methodology in the Tanaro River basin in Italy
Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi
Hydrol. Earth Syst. Sci., 28, 3777–3797, https://doi.org/10.5194/hess-28-3777-2024,https://doi.org/10.5194/hess-28-3777-2024, 2024
Short summary

Cited articles

Aleotti, P. and Chowdhury, R.: Landslide hazard assessment: summary review and new perspectives, B. Eng. Geol. Environ., 58, 21–44, 1999. a
Anagnostopoulos, G. G., Fatichi, S., and Burlando, P.: An advanced process-based distributed model for the investigation of rainfall-induced landslides: The effect of process representation and boundary conditions, Water Resour. Research, 51, 7501–7523, https://doi.org/10.1002/2015WR016909, 2015. a, b
Anderson, S. A. and Sitar, N.: Analysis of rainfall-induced debris flows, J. Geotechn. Eng., 121, 544–552, 1995. a
Ayalew, L. and Yamagishi, H.: The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan, Geomorphology, 65, 15–31, 2005. a
Baum, R. L., Savage, W. Z., and Godt, J. W.: TRIGRS – a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, US geological survey open-file report, 424, 38, https://doi.org/10.3133/ofr02424, 2002. a
Download
Short summary
Landslides are a dangerous natural hazard affecting alpine regions, calling for effective warning systems. Here we consider different approaches for the prediction of rainfall-induced shallow landslides at the regional scale, based on open-access datasets and operational hydrological forecasting systems. We find antecedent wetness useful to improve upon the classical rainfall thresholds and the resolution of the hydrological model used for its estimate to be a critical aspect.