Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-279-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-279-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jan 2023
Research article |
| 25 Jan 2023
| 25 Jan 2023
Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data
Nunziarita Palazzolo
CORRESPONDING AUTHOR
Department of Civil Engineering and Architecture, University of Pavia, Pavia, 27100, Italy
now at: Department of Civil Engineering and Architecture, University of Catania, Catania, 95123, Italy
David J. Peres
Department of Civil Engineering and Architecture, University of Catania, Catania, 95123, Italy
Enrico Creaco
Department of Civil Engineering and Architecture, University of Pavia, Pavia, 27100, Italy
Antonino Cancelliere
Department of Civil Engineering and Architecture, University of Catania, Catania, 95123, Italy
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Cited
33 citations as recorded by crossref.
- Controls over debris flow initiation in glacio-volcanic environments in the Southern Andes I. Fustos-Toribio et al.
- Physically-based assessment and redefinition of existing rainfall thresholds in territorial warning systems for shallow landslides M. Calvello et al.
- From hydro-meteorological thresholds towards an operational warning model for landslides at regional scale: A real-case application S. Zhang et al.
- Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture P. Distefano et al.
- A probabilistic early warning model of rainfall-induced landslides accounting for multiple factors and correlation structures Y. Li et al.
- Effective landslide risk management in era of climate change, demographic change, and evolving societal priorities V. Capobianco et al.
- Spatially integrated standardized relative humidity index: A principal component analysis-based approach for regional drought assessment A. Yasin et al.
- Preface: Hydro-meteorological extremes and hazards: vulnerability, risk, impacts, and mitigation F. Marra et al.
- Aerosol optical depth in East Asia from VIIRS, MODIS, and MISR: Evaluation, variability, and meteorological associations J. Gong et al.
- From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al.
- Vadose Zone Reorganization: A Comparative Principal Component Analysis of Hydrological and Thermal Responses to Rainfall D. Shih
- Optimising landslide trigger analysis through integration of diverse dendrogeomorphic approaches and multi-source climate and documentary data R. Tichavský
- Hybrid model integrating multi-stage machine learning optimization for accurate landslide displacement prediction S. Huang et al.
- Impacts of wildfire over land and atmosphere in Similipal Biosphere Reserve, Odisha, India M. Sunder et al.
- AI-Driven Integration of Sentinel-1 SAR for High-Resolution Soil Water Content Estimation to Enhance Precision Irrigation in Smallholder Maize Systems, Vhembe District G. Nxumalo et al.
- Coastal Soil Salinity Inversion Using UAV Multispectral Imagery and an Interpretable Stacking Algorithm X. Hu et al.
- Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides S. Zhang et al.
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al.
- Rainfall- and Irrigation-Induced Landslide Mechanisms in Loess Slopes: An Experimental Investigation in Lanzhou, China W. Liu et al.
- Analysis of Water Migration and Spoil Slope Stability under the Coupled Effects of Rainfall and Root Reinforcement Based on the Unsaturated Soil Theory H. Song et al.
- Recent advancements of landslide hydrology R. Greco et al.
- An enhanced rainfall-induced landslide catalogue in Italy M. Brunetti et al.
- Spatiotemporal Analysis of Drought and Soil Moisture Dynamics for Sustainable Water and Agricultural Management in the Southeastern Anatolia Project (GAP) Region, Türkiye Z. Kiliç
- Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) D. Roman Quintero et al.
- Contrasting feedback mechanisms drive basin-scale vegetation vulnerability to drought in cold-arid northern China J. Ji et al.
- Air quality evaluation in Ethiopian major cities through Monte Carlo simulation, principal component analysis, and T test-integrated statistical frameworks M. Çelik et al.
- Prognosticators for precipitation variability adopting principal component regression analysis E. Aamir & A. Ghumman
- Evolution process and failure mechanism of a large expressway roadside landslide J. Zhang et al.
- Precipitation-induced landslide risk escalation in China’s urbanization with high-resolution soil moisture and multi-source precipitation product K. He et al.
- Use of delayed ERA5-Land soil moisture products for improving landslide early warning N. Palazzolo et al.
- Understanding hydrometeorological triggers of natural hazards through dendrogeomorphology: Methods, limitations, and challenges R. Tichavský
- Applying the fuzzy theory method to predict the behavior of reinforced flax nonwoven and tire rubber composite B. Jaouachi et al.
- Soil temperature prediction based on explainable artificial intelligence and LSTM Q. Geng et al.
33 citations as recorded by crossref.
- Controls over debris flow initiation in glacio-volcanic environments in the Southern Andes I. Fustos-Toribio et al.
- Physically-based assessment and redefinition of existing rainfall thresholds in territorial warning systems for shallow landslides M. Calvello et al.
- From hydro-meteorological thresholds towards an operational warning model for landslides at regional scale: A real-case application S. Zhang et al.
- Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture P. Distefano et al.
- A probabilistic early warning model of rainfall-induced landslides accounting for multiple factors and correlation structures Y. Li et al.
- Effective landslide risk management in era of climate change, demographic change, and evolving societal priorities V. Capobianco et al.
- Spatially integrated standardized relative humidity index: A principal component analysis-based approach for regional drought assessment A. Yasin et al.
- Preface: Hydro-meteorological extremes and hazards: vulnerability, risk, impacts, and mitigation F. Marra et al.
- Aerosol optical depth in East Asia from VIIRS, MODIS, and MISR: Evaluation, variability, and meteorological associations J. Gong et al.
- From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al.
- Vadose Zone Reorganization: A Comparative Principal Component Analysis of Hydrological and Thermal Responses to Rainfall D. Shih
- Optimising landslide trigger analysis through integration of diverse dendrogeomorphic approaches and multi-source climate and documentary data R. Tichavský
- Hybrid model integrating multi-stage machine learning optimization for accurate landslide displacement prediction S. Huang et al.
- Impacts of wildfire over land and atmosphere in Similipal Biosphere Reserve, Odisha, India M. Sunder et al.
- AI-Driven Integration of Sentinel-1 SAR for High-Resolution Soil Water Content Estimation to Enhance Precision Irrigation in Smallholder Maize Systems, Vhembe District G. Nxumalo et al.
- Coastal Soil Salinity Inversion Using UAV Multispectral Imagery and an Interpretable Stacking Algorithm X. Hu et al.
- Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides S. Zhang et al.
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al.
- Rainfall- and Irrigation-Induced Landslide Mechanisms in Loess Slopes: An Experimental Investigation in Lanzhou, China W. Liu et al.
- Analysis of Water Migration and Spoil Slope Stability under the Coupled Effects of Rainfall and Root Reinforcement Based on the Unsaturated Soil Theory H. Song et al.
- Recent advancements of landslide hydrology R. Greco et al.
- An enhanced rainfall-induced landslide catalogue in Italy M. Brunetti et al.
- Spatiotemporal Analysis of Drought and Soil Moisture Dynamics for Sustainable Water and Agricultural Management in the Southeastern Anatolia Project (GAP) Region, Türkiye Z. Kiliç
- Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) D. Roman Quintero et al.
- Contrasting feedback mechanisms drive basin-scale vegetation vulnerability to drought in cold-arid northern China J. Ji et al.
- Air quality evaluation in Ethiopian major cities through Monte Carlo simulation, principal component analysis, and T test-integrated statistical frameworks M. Çelik et al.
- Prognosticators for precipitation variability adopting principal component regression analysis E. Aamir & A. Ghumman
- Evolution process and failure mechanism of a large expressway roadside landslide J. Zhang et al.
- Precipitation-induced landslide risk escalation in China’s urbanization with high-resolution soil moisture and multi-source precipitation product K. He et al.
- Use of delayed ERA5-Land soil moisture products for improving landslide early warning N. Palazzolo et al.
- Understanding hydrometeorological triggers of natural hazards through dendrogeomorphology: Methods, limitations, and challenges R. Tichavský
- Applying the fuzzy theory method to predict the behavior of reinforced flax nonwoven and tire rubber composite B. Jaouachi et al.
- Soil temperature prediction based on explainable artificial intelligence and LSTM Q. Geng et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering...
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