Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-149-2016
© Author(s) 2016. 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-16-149-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jan 2016
Research article |
| 19 Jan 2016
Quantifying the effectiveness of early warning systems for natural hazards
M. Sättele
CORRESPONDING AUTHOR
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf,
Switzerland
M. Bründl
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf,
Switzerland
D. Straub
Technische Universität München, Engineering Risk Analysis Group,
Munich, Germany
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21 citations as recorded by crossref.
- Quantifying the effect of forests on frequency and intensity of rockfalls C. Moos et al. 10.5194/nhess-17-291-2017
- Integrating the mitigating effect of forests into quantitative rockfall risk analysis – Two case studies in Switzerland C. Moos et al. 10.1016/j.ijdrr.2017.09.036
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- Early alert and community involvement: approach for disaster risk reduction in Rwanda L. Nahayo et al. 10.1007/s11069-016-2702-5
- Monitoring strategies for local landslide early warning systems G. Pecoraro et al. 10.1007/s10346-018-1068-z
- Earthquake early warning: Recent advances and perspectives G. Cremen & C. Galasso 10.1016/j.earscirev.2020.103184
- Systèmes d’alerte précoce pour les aléas naturels et environnementaux : virage ou mirage technologique ? D. Didier et al. 10.7202/1042922ar
- Framework for assessing the performance of flood adaptation innovations using a risk‐based approach K. Lendering et al. 10.1111/jfr3.12485
- Application of time-of-day and day-of-week-based hazard in dam break assessments R. Coombs 10.1680/jdare.20.00008
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- Spatial performance of location-based alerts in France E. Bopp & J. Douvinet 10.1016/j.ijdrr.2020.101909
- Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L. Piciullo et al. 10.1007/s10346-016-0750-2
- LandAware: a new international network on Landslide Early Warning Systems M. Calvello et al. 10.1007/s10346-020-01548-7
- Are sirens effective tools to alert the population in France? J. Douvinet et al. 10.5194/nhess-21-2899-2021
- Impact-based flash-flood forecasting system: Sensitivity to high resolution numerical weather prediction systems and soil moisture F. Silvestro et al. 10.1016/j.jhydrol.2019.02.055
- 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
- A review of landslide acceptable risk and tolerable risk K. Sim et al. 10.1186/s40677-022-00205-6
- The false alarm/surprise trade-off in weather warnings systems: an expected utility theory perspective R. de Elía 10.1007/s10669-022-09863-1
- Performance Evaluation of a Nowcasting Modelling Chain Operatively Employed in Very Small Catchments in the Mediterranean Environment for Civil Protection Purposes M. Raffellini et al. 10.3390/atmos12060783
- Development of a Bayesian network-based early warning system for storm-driven coastal erosion J. Garzon et al. 10.1016/j.coastaleng.2024.104460
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Latest update: 29 Jun 2024
Short summary
We suggest a generic classification of early warning systems for natural hazards, which distinguishes alarm, warning, and forecasting systems. On the basis of this classification, we developed a three-step framework for evaluating the effectiveness of such systems and illustrate its applicability using case studies. Our results will support practitioners in comparing the effectiveness of early warning systems with those of structural mitigation measures.
We suggest a generic classification of early warning systems for natural hazards, which...
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