Articles | Volume 16, issue 11
https://doi.org/10.5194/nhess-16-2357-2016
© 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-16-2357-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Nov 2016
Research article |
| 10 Nov 2016
Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL)
Institute of Earth and Environmental Science, University of Potsdam,
Karl-Liebknecht-Straße 24-25, 14476 Potsdam, Germany
Christine Schönberger
ÖBB-Infrastruktur AG, Nordbahnstrasse 50, 1020 Vienna, Austria
Annegret H. Thieken
Institute of Earth and Environmental Science, University of Potsdam,
Karl-Liebknecht-Straße 24-25, 14476 Potsdam, Germany
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- Extreme Events, Critical Infrastructures, Human Vulnerability and Strategic Planning: Emerging Research Issues J. Birkmann et al. 10.1142/S2345737616500172
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- Aerial Footage Analysis Using Computer Vision for Efficient Detection of Points of Interest Near Railway Tracks R. Sharma et al. 10.3390/aerospace9070370
- Estimating the hazard of tree fall along railway lines: a new GIS tool S. Szymczak et al. 10.1007/s11069-022-05263-5
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- Implications of climate change for railway infrastructure E. Palin et al. 10.1002/wcc.728
- The effects of flooding on railway infrastructure: A literature review M. Ochsner et al. 10.1016/j.trpro.2023.11.654
- Estimating railway resilience curves: recovery duration and train traffic response to floods and tree fall V. Fabella & S. Szymczak 10.1016/j.trpro.2023.11.671
- Review article: Physical vulnerability database for critical infrastructure hazard risk assessments – a systematic review and data collection S. Nirandjan et al. 10.5194/nhess-24-4341-2024
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- Idealisations of Dynamic Modelling for Railway Ballast in Flood Conditions S. Kaewunruen & T. Tang 10.3390/app9091785
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
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