Articles | Volume 17, issue 6
https://doi.org/10.5194/nhess-17-817-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-817-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Jun 2017
Research article |
| 06 Jun 2017
Adapting the EDuMaP method to test the performance of the Norwegian early warning system for weather-induced landslides
Department of Civil Engineering, University of Salerno, Italy
Mads-Peter Dahl
Norwegian Water Resources and Energy Directorate, Oslo, Norway
Graziella Devoli
Norwegian Water Resources and Energy Directorate, Oslo, Norway
Department of Geosciences, University of Oslo, Oslo, Norway
Hervé Colleuille
Norwegian Water Resources and Energy Directorate, Oslo, Norway
Michele Calvello
Department of Civil Engineering, University of Salerno, Italy
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Cited
21 citations as recorded by crossref.
- Standards for the performance assessment of territorial landslide early warning systems L. Piciullo et al. 10.1007/s10346-020-01486-4
- Application of a fuzzy verification framework for the evaluation of a regional-scale landslide early warning system during the January 2020 Gloria storm in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-022-01854-2
- Rainfall Induced Shallow Landslide Temporal Probability Modelling and Early Warning Research in Mountains Areas: A Case Study of Qin-Ba Mountains, Western China Y. Song et al. 10.3390/rs14235952
- Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides G. Pecoraro & M. Calvello 10.1007/s10346-020-01599-w
- Application of Industrial Risk Management Practices to Control Natural Hazards, Facilitating Risk Communication J. Lee & D. Lee 10.3390/ijgi7090377
- Empirical and Physically Based Thresholds for the Occurrence of Shallow Landslides in a Prone Area of Northern Italian Apennines M. Bordoni et al. 10.3390/w11122653
- Multidimensional evaluation and service strategy analysis of hazard warning and risk reduction Z. Cao et al. 10.3389/feart.2024.1362906
- Monitoring strategies for local landslide early warning systems G. Pecoraro et al. 10.1007/s10346-018-1068-z
- Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning B. Mirus et al. 10.1007/s10346-018-0995-z
- The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides I. Krøgli et al. 10.5194/nhess-18-1427-2018
- Territorial early warning systems for rainfall-induced landslides L. Piciullo et al. 10.1016/j.earscirev.2018.02.013
- A regional-scale landslide early warning methodology applying statistical and physically based approaches in sequence J. Park et al. 10.1016/j.enggeo.2019.105193
- A Fast Deploying Monitoring and Real-Time Early Warning System for the Baige Landslide in Tibet, China Y. Wu et al. 10.3390/s20226619
- Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil A. Getirana et al. 10.3390/rs12244095
- Adopting the <i>I</i><sub>3</sub>–<i>R</i><sub>24</sub> rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslides L. Wei et al. 10.5194/nhess-18-1717-2018
- Development of community-based landslide early warning system in the earthquake-affected areas of Nepal Himalaya P. Thapa & B. Adhikari 10.1007/s11629-019-5586-5
- Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products M. Bordoni et al. 10.1007/s10064-023-03304-2
- Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013 G. Devoli et al. 10.5194/nhess-18-1351-2018
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Financial Management Early‐Warning Mechanism Construction and Decision Analysis Research Based on Wireless Sensor Network and Data Mining Z. Chang et al. 10.1155/2021/6047798
- Influence of hydraulic characteristics on stability of unsaturated slope under transient seepage conditions K. Pham et al. 10.1007/s10346-018-0989-x
20 citations as recorded by crossref.
- Standards for the performance assessment of territorial landslide early warning systems L. Piciullo et al. 10.1007/s10346-020-01486-4
- Application of a fuzzy verification framework for the evaluation of a regional-scale landslide early warning system during the January 2020 Gloria storm in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-022-01854-2
- Rainfall Induced Shallow Landslide Temporal Probability Modelling and Early Warning Research in Mountains Areas: A Case Study of Qin-Ba Mountains, Western China Y. Song et al. 10.3390/rs14235952
- Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides G. Pecoraro & M. Calvello 10.1007/s10346-020-01599-w
- Application of Industrial Risk Management Practices to Control Natural Hazards, Facilitating Risk Communication J. Lee & D. Lee 10.3390/ijgi7090377
- Empirical and Physically Based Thresholds for the Occurrence of Shallow Landslides in a Prone Area of Northern Italian Apennines M. Bordoni et al. 10.3390/w11122653
- Multidimensional evaluation and service strategy analysis of hazard warning and risk reduction Z. Cao et al. 10.3389/feart.2024.1362906
- Monitoring strategies for local landslide early warning systems G. Pecoraro et al. 10.1007/s10346-018-1068-z
- Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning B. Mirus et al. 10.1007/s10346-018-0995-z
- The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides I. Krøgli et al. 10.5194/nhess-18-1427-2018
- Territorial early warning systems for rainfall-induced landslides L. Piciullo et al. 10.1016/j.earscirev.2018.02.013
- A regional-scale landslide early warning methodology applying statistical and physically based approaches in sequence J. Park et al. 10.1016/j.enggeo.2019.105193
- A Fast Deploying Monitoring and Real-Time Early Warning System for the Baige Landslide in Tibet, China Y. Wu et al. 10.3390/s20226619
- Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil A. Getirana et al. 10.3390/rs12244095
- Adopting the <i>I</i><sub>3</sub>–<i>R</i><sub>24</sub> rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslides L. Wei et al. 10.5194/nhess-18-1717-2018
- Development of community-based landslide early warning system in the earthquake-affected areas of Nepal Himalaya P. Thapa & B. Adhikari 10.1007/s11629-019-5586-5
- Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products M. Bordoni et al. 10.1007/s10064-023-03304-2
- Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013 G. Devoli et al. 10.5194/nhess-18-1351-2018
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Financial Management Early‐Warning Mechanism Construction and Decision Analysis Research Based on Wireless Sensor Network and Data Mining Z. Chang et al. 10.1155/2021/6047798
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 05 Nov 2024
Short summary
The landslide early warning system operational in Norway is managed, since 2013, by the NVE and has been designed for monitoring and forecasting the hydrometeorological conditions potentially triggering slope failures. Daily alerts are issued throughout the country considering variable size warning zones. The performance of the warnings issued is evaluated through the adapted EDuMaP method. Different performance results are observed as a function of the landslide density criterion use.
The landslide early warning system operational in Norway is managed, since 2013, by the NVE and...
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