Articles | Volume 17, issue 12
https://doi.org/10.5194/nhess-17-2213-2017
© Author(s) 2017. 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-17-2213-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides
Roberto Greco
Dipartimento di Ingegneria Civile Design Edilizia e Ambiente,
Universitá degli Studi della Campania “Luigi Vanvitelli”, Via Roma 9, 81031 Aversa (CE), Italy
Dipartimento di Ingegneria Civile Edile e Ambientale, Universitá
degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
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Cited
18 citations as recorded by crossref.
- The Role of Cover Thickness in the Rainfall-Induced Landslides of Nocera Inferiore 2005 L. Coppola et al. 10.3390/geosciences10060228
- Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability S. Moradi et al. 10.3390/land10040423
- Relationship between river bank stability and hydrological processes using in situ measurement data G. Mentes 10.1556/24.62.2019.01
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Effects of vegetation on hydrological response of silty volcanic covers L. Pagano et al. 10.1139/cgj-2017-0625
- SitkaNet: A low-cost, distributed sensor network for landslide monitoring and study M. Chu et al. 10.1016/j.ohx.2021.e00191
- 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. 10.1007/s10064-023-03228-x
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- Pre-failure suction-induced deformation to inform early warning of shallow landslides: Proof of concept at slope model scale L. Coppola et al. 10.1016/j.enggeo.2022.106834
- Dielectric permittivity method to monitor (liquid) water content in unsaturated soils, frozen soils, and snow A. Tarantino et al. 10.1051/e3sconf/202564203022
- Innovative Monitoring Tools and Early Warning Systems for Risk Management: A Case Study A. Segalini et al. 10.3390/geosciences9020062
- Early warning of shallow landslides: Monitoring of pre-failure suction-induced deformation L. Coppola et al. 10.1051/e3sconf/202454402001
- Supporting decision-making processes in the assessment of water-related risks: a review of models and methods C. Caprioli & C. D’Alpaos 10.48264/VVSIEV-20243507
- Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al. 10.3390/s23042299
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- Hydrological control of large hurricane-induced lahars: evidence from rainfall-runoff modeling, seismic and video monitoring L. Capra et al. 10.5194/nhess-18-781-2018
- Modeling rainfall-induced landslide using the concept of local factor of safety: Uncertainty propagation and sensitivity analysis R. Abbasov et al. 10.1016/j.compgeo.2024.106102
- How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al. 10.1007/s11069-019-03830-x
18 citations as recorded by crossref.
- The Role of Cover Thickness in the Rainfall-Induced Landslides of Nocera Inferiore 2005 L. Coppola et al. 10.3390/geosciences10060228
- Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability S. Moradi et al. 10.3390/land10040423
- Relationship between river bank stability and hydrological processes using in situ measurement data G. Mentes 10.1556/24.62.2019.01
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Effects of vegetation on hydrological response of silty volcanic covers L. Pagano et al. 10.1139/cgj-2017-0625
- SitkaNet: A low-cost, distributed sensor network for landslide monitoring and study M. Chu et al. 10.1016/j.ohx.2021.e00191
- 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. 10.1007/s10064-023-03228-x
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- Pre-failure suction-induced deformation to inform early warning of shallow landslides: Proof of concept at slope model scale L. Coppola et al. 10.1016/j.enggeo.2022.106834
- Dielectric permittivity method to monitor (liquid) water content in unsaturated soils, frozen soils, and snow A. Tarantino et al. 10.1051/e3sconf/202564203022
- Innovative Monitoring Tools and Early Warning Systems for Risk Management: A Case Study A. Segalini et al. 10.3390/geosciences9020062
- Early warning of shallow landslides: Monitoring of pre-failure suction-induced deformation L. Coppola et al. 10.1051/e3sconf/202454402001
- Supporting decision-making processes in the assessment of water-related risks: a review of models and methods C. Caprioli & C. D’Alpaos 10.48264/VVSIEV-20243507
- Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al. 10.3390/s23042299
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- Hydrological control of large hurricane-induced lahars: evidence from rainfall-runoff modeling, seismic and video monitoring L. Capra et al. 10.5194/nhess-18-781-2018
- Modeling rainfall-induced landslide using the concept of local factor of safety: Uncertainty propagation and sensitivity analysis R. Abbasov et al. 10.1016/j.compgeo.2024.106102
- How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al. 10.1007/s11069-019-03830-x
Latest update: 29 Aug 2025
Short summary
The paper focuses on the main features characterizing predictive models working in early warning systems (EWS), by discussing their aims, the evolution stage of the phenomenon where they should be incardinated, and their architecture, regardless of the specific application field. With reference to flow-like landslide and earth flows, some alternative approaches to the development of the predictive tool and to its implementation in an EWS are described.
The paper focuses on the main features characterizing predictive models working in early warning...
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