Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2041-2021
© Author(s) 2021. 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-21-2041-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Analysis of meteorological parameters triggering rainfall-induced landslide: a review of 70 years in Valtellina
Andrea Abbate
Department of Civil Engineering (DICA), Politecnico di Milano, Milan,
20133, Italy
Monica Papini
Department of Civil Engineering (DICA), Politecnico di Milano, Milan,
20133, Italy
Laura Longoni
CORRESPONDING AUTHOR
Department of Civil Engineering (DICA), Politecnico di Milano, Milan,
20133, Italy
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Cited
15 citations as recorded by crossref.
- Natural hazard insurance: dissemination strategies using geological knowledge E. Gianni et al. 10.1007/s10669-023-09936-9
- Experimental study on the failure of fractured rock slopes with anti-dip and strong weathering characteristics under rainfall conditions G. Nian et al. 10.1007/s10346-023-02142-3
- Reconstruction of rock avalanche history in Val Viola, (Upper Valtellina, Italian Central Alps) through 10Be exposure ages, Schmidt Hammer R values, and surface roughness A. Longhi et al. 10.1007/s10346-024-02210-2
- A small landslide induced a large disaster prior to the heavy rainy season in Jinkouhe, Sichuan, China: characteristics, mechanism, and lessons R. Hou et al. 10.1007/s10346-024-02213-z
- CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale A. Abbate et al. 10.5194/nhess-24-501-2024
- Threshold assessment of rainfall-induced landslides in Sangzhi County: statistical analysis and physical model Y. Sheng et al. 10.1007/s10064-022-02890-x
- Compound events of wet and dry extremes: Identification, variations, and risky patterns H. Chen et al. 10.1016/j.scitotenv.2023.167088
- SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment A. Abbate & L. Mancusi 10.3390/w16111507
- Physical model test on deformation and failure mechanism of deposit landslide under gradient rainfall H. Wang et al. 10.1007/s10064-021-02566-y
- Orographic Precipitation Extremes: An Application of LUME (Linear Upslope Model Extension) over the Alps and Apennines in Italy A. Abbate et al. 10.3390/w14142218
- Numerical simulation of rainfall-induced deformations of embankments considering the coupled hydro-mechanical behavior of unsaturated soils Y. Zheng et al. 10.1016/j.compgeo.2024.106714
- Local-Scale Weather Forecasts over a Complex Terrain in an Early Warning Framework: Performance Analysis for the Val d’Agri (Southern Italy) Case Study G. Giunta et al. 10.1155/2022/2179246
- Big Disaster from Small Watershed: Insights into the Failure and Disaster-Causing Mechanism of a Debris Flow on 25 September 2021 in Tianquan, China R. Hou et al. 10.1007/s13753-024-00576-4
- Temporal clustering of precipitation for detection of potential landslides F. Banfi et al. 10.5194/nhess-24-2689-2024
- Increasing geohydrological instability in a valley of the Italian Central Alps: a study in the Anthropocene L. Turconi et al. 10.1080/17445647.2022.2145917
15 citations as recorded by crossref.
- Natural hazard insurance: dissemination strategies using geological knowledge E. Gianni et al. 10.1007/s10669-023-09936-9
- Experimental study on the failure of fractured rock slopes with anti-dip and strong weathering characteristics under rainfall conditions G. Nian et al. 10.1007/s10346-023-02142-3
- Reconstruction of rock avalanche history in Val Viola, (Upper Valtellina, Italian Central Alps) through 10Be exposure ages, Schmidt Hammer R values, and surface roughness A. Longhi et al. 10.1007/s10346-024-02210-2
- A small landslide induced a large disaster prior to the heavy rainy season in Jinkouhe, Sichuan, China: characteristics, mechanism, and lessons R. Hou et al. 10.1007/s10346-024-02213-z
- CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale A. Abbate et al. 10.5194/nhess-24-501-2024
- Threshold assessment of rainfall-induced landslides in Sangzhi County: statistical analysis and physical model Y. Sheng et al. 10.1007/s10064-022-02890-x
- Compound events of wet and dry extremes: Identification, variations, and risky patterns H. Chen et al. 10.1016/j.scitotenv.2023.167088
- SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment A. Abbate & L. Mancusi 10.3390/w16111507
- Physical model test on deformation and failure mechanism of deposit landslide under gradient rainfall H. Wang et al. 10.1007/s10064-021-02566-y
- Orographic Precipitation Extremes: An Application of LUME (Linear Upslope Model Extension) over the Alps and Apennines in Italy A. Abbate et al. 10.3390/w14142218
- Numerical simulation of rainfall-induced deformations of embankments considering the coupled hydro-mechanical behavior of unsaturated soils Y. Zheng et al. 10.1016/j.compgeo.2024.106714
- Local-Scale Weather Forecasts over a Complex Terrain in an Early Warning Framework: Performance Analysis for the Val d’Agri (Southern Italy) Case Study G. Giunta et al. 10.1155/2022/2179246
- Big Disaster from Small Watershed: Insights into the Failure and Disaster-Causing Mechanism of a Debris Flow on 25 September 2021 in Tianquan, China R. Hou et al. 10.1007/s13753-024-00576-4
- Temporal clustering of precipitation for detection of potential landslides F. Banfi et al. 10.5194/nhess-24-2689-2024
- Increasing geohydrological instability in a valley of the Italian Central Alps: a study in the Anthropocene L. Turconi et al. 10.1080/17445647.2022.2145917
Latest update: 17 Nov 2024
Short summary
In this paper the relation between the intensity of meteorological events and the magnitude of triggered geo-hydrological issues was examined. A back analysis was developed across a region of the central Alps. The meteorological triggers were interpreted using two approaches: the first using local rain gauge data and a new one considering meteorological reanalysis maps. The results obtained were compared and elaborated for defining a magnitude of each geo-hydrological event.
In this paper the relation between the intensity of meteorological events and the magnitude of...
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