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Evaluation of early warning systems for natural hazards: a generic framework
Sättele, M., Bründl, M., & Straub, D. (2016). Evaluation of early warning systems for natural hazards: a generic framework. G. Koboltschnig (Ed.), (pp. 364-365). Presented at the 13th congress Interpraevent. Luzern: International Research Society Interpraevent.
Forecasting rock slope failure: how reliable and effective are warning systems?
Sättele, M., Krautblatter, M., Bründl, M., & Straub, D. (2016). Forecasting rock slope failure: how reliable and effective are warning systems? Landslides, 13(4), 737-750. https://doi.org/10.1007/s10346-015-0605-2
Quantifying the effectiveness of early warning systems for natural hazards
Sättele, M., Bründl, M., & Straub, D. (2016). Quantifying the effectiveness of early warning systems for natural hazards. Natural Hazards and Earth System Science, 16(1), 149-166. https://doi.org/10.5194/nhess-16-149-2016
Towards the evaluation of human factors in avalanche early warning systems
Sättele, M., Bründl, M., & Zwirglmaier, K. (2016). Towards the evaluation of human factors in avalanche early warning systems. In ISSW proceedings. International snow science workshop proceedings 2016 (pp. 222-229). Retrieved from http://arc.lib.montana.edu/snow-science/item/2269
Monitoring and prediction in early warning systems for rapid mass movements
Stähli, M., Sättele, M., Huggel, C., McArdell, B. W., Lehmann, P., Van Herwijnen, A., … Springman, S. M. (2015). Monitoring and prediction in early warning systems for rapid mass movements. Natural Hazards and Earth System Science, 15(4), 905-917. https://doi.org/10.5194/nhess-15-905-2015
Guide pratique pour l’utilisation de systèmes de préalerte dans le domaine des dangers naturels gravitationnels
Sättele, M., & Bründl, M. (2015). Guide pratique pour l’utilisation de systèmes de préalerte dans le domaine des dangers naturels gravitationnels. Davos: WSL Institut pour l’étude de la neige et des avalanches SLF; Berne, Office fédéral de la protection de la population OFPP.
Praxishilfe für den Einsatz von Frühwarnsystemen für gravitative Naturgefahren
Sättele, M., & Bründl, M. (2015). Praxishilfe für den Einsatz von Frühwarnsystemen für gravitative Naturgefahren. Davos: WSL-Institut für Schnee- und Lawinenforschung SLF; Bern, Bundesamt für Bevölkerungsschutz / BABS.
Quantifying the effect of early warning systems on natural hazard risk
Sättele, M., Bründl, M., & Straub, D. (2015). Quantifying the effect of early warning systems on natural hazard risk. In T. Haukaas (Ed.), Proceedings of the 12th international conference on applications of statistics and probability in civil engineering (ICASP12) (p. (8 pp.). Vancouver: ICASP.
Reliability and effectiveness of early warning systems for natural hazards: concept and application to debris flow warning
Sättele, M., Bründl, M., & Straub, D. (2015). Reliability and effectiveness of early warning systems for natural hazards: concept and application to debris flow warning. Reliability Engineering and System Safety, 142, 192-202. https://doi.org/10.1016/j.ress.2015.05.003
Early Warning Systems for Natural Hazards: Reliability Analyses and Guidance for Decision Makers
Sättele, M., Bründl, M., & Straub, D. (2014). Early Warning Systems for Natural Hazards: Reliability Analyses and Guidance for Decision Makers. In G. Deodatis, B. R. Ellingwood, & D. M. Frangopol (Eds.), Safety, reliability, risk and life-cycle performance of structures and infrastructures (p. 6). London: Taylor & Francis.
Early warning systems for natural hazards: reliability analyses and guidance for decision makers
Sättele, M., Bründl, M., & Straub, D. (2014). Early warning systems for natural hazards: reliability analyses and guidance for decision makers. In M. Fujita (Ed.), INTERPRAEVENT2014 in the Pacific Rim. Natural Disaster Mitigation to Establish Society with the Resilience. Extended Abstracts of the INTERPRAEVENT2014 in the Pacific Rim (p. 6). Nara: International Research Society INTERPRAEVENT.
Bayesian networks to quantify the reliability of a debris flow alarm system
Sättele, M., Bründl, M., & Straub, D. (2013). Bayesian networks to quantify the reliability of a debris flow alarm system. In G. Deodatis, B. R. Ellingwood, & D. M. Frangopol (Eds.), Safety, reliability, risk and life-cycle performance of structures and infrastructures (pp. 3661-3668). London: Taylor & Francis.
Elektronisch Warnen
Sättele, M., & Meier, L. (2013). Elektronisch Warnen. Tec21, (31-32), 16-19.
Classification of warning systems for natural hazards
Sättele, M., Bründl, M., & Straub, D. (2012). Classification of warning systems for natural hazards. In C. Moormann, M. Huber, & D. Proske (Eds.), Mitteilung des Instituts für Geotechnik: Vol. 67. Proceedings of the 10th International Probabilistic Workshop (pp. 257-270). Stuttgart: Institut für Geotechnik der Universität Stuttgart.