Articles | Volume 25, issue 8
https://doi.org/10.5194/nhess-25-2679-2025
https://doi.org/10.5194/nhess-25-2679-2025
Research article
 | 
14 Aug 2025
Research article |  | 14 Aug 2025

Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy)

Daniel Camilo Roman Quintero, Pasquale Marino, Abdullah Abdullah, Giovanni Francesco Santonastaso, and Roberto Greco

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Cited articles

Abraham, M. T., Satyam, N., Rosi, A., Pradhan, B., and Segoni, S.: Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning, Catena, 200, 105147, https://doi.org/10.1016/j.catena.2021.105147, 2021. 
Autorità di Bacino: Mitigazione del rischio idrogeologico finalizzato al governo del territorio, Cervinara, Open File Rep., 1–82, https://www.distrettoappenninomeridionale.it/novita/progetto-cervinara/ (last access: 3 May 2024), 2013. 
Baum, R. L. and Godt, J. W.: Early warning of rainfall-induced shallow landslides and debris flows in the USA, Landslides, 7, 259–272, https://doi.org/10.1007/s10346-009-0177-0, 2010. 
Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., Sheffield, J., Karthikeyan, L., Balsamo, G., Parinussa, R. M., van Dijk, A. I. J. M., Du, J., Kimball, J. S., Vergopolan, N., and Wood, E. F.: Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors, Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021, 2021. 
Bennett, G., Van Camp, M., Shemsanga, C., Kervyn, M., and Walraevens, K.: Assessment of spatial and temporal variability of groundwater level in the aquifer system on the flanks of Mount Meru, Northern Tanzania, J. Hydrol. Reg. Stud., 44, 101212, https://doi.org/10.1016/J.EJRH.2022.101212, 2022. 
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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 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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