Articles | Volume 15, issue 11
https://doi.org/10.5194/nhess-15-2485-2015
© Author(s) 2015. 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-15-2485-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Nov 2015
Research article |
| 10 Nov 2015
Estimating flood damage to railway infrastructure – the case study of the March River flood in 2006 at the Austrian Northern Railway
Institute of Earth and Environmental Science, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam-Golm, Germany
A. Schöbel
Open Track Railway Technology GmbH, Kaasgrabengasse 19/8, 1190 Vienna, Austria
G. Kundela
ÖBB-Infrastruktur AG, Praterstern 3, 1020 Vienna, Austria
A. H. Thieken
Institute of Earth and Environmental Science, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam-Golm, Germany
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- Combination of GIS and mathematical modeling to predict floods in semiarid areas: case of Rheraya watershed (Western High Atlas, Morocco) A. El Alaoui El Fels et al. 10.1007/s12517-017-3345-x
- Future Public Sector Flood Risk and Risk Sharing Arrangements: An Assessment for Austria C. Unterberger et al. 10.1016/j.ecolecon.2018.09.019
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- Postdisaster Impact Assessment of Road Infrastructure: State-of-the-Art Review A. Gajanayake et al. 10.1061/(ASCE)NH.1527-6996.0000343
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- Vulnerability Analysis of Geographical Railway Network under Geological Hazard in China L. Yin et al. 10.3390/ijgi11060342
- Impact of storms on rail transport: a case study from Czechia V. Nezval et al. 10.1007/s11069-023-06321-2
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- Damage functions for transport infrastructure N. Habermann & R. Hedel 10.1108/IJDRBE-09-2017-0052
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44 citations as recorded by crossref.
- Flood mitigation data analytics and decision support framework: Iowa Middle Cedar Watershed case study Y. Alabbad et al. 10.1016/j.scitotenv.2021.152768
- A multi-step assessment framework for optimization of flood mitigation strategies in transportation networks N. Zhang & A. Alipour 10.1016/j.ijdrr.2021.102439
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- Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data W. Zhu et al. 10.1007/s11069-022-05605-3
- Qualitative flood risk assessment for road and railway infrastructures: the experience of the MOVIDA project N. Petruccelli et al. 10.5194/piahs-385-407-2024
- Global warming to increase flood risk on European railways P. Bubeck et al. 10.1007/s10584-019-02434-5
- Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters L. Yin & Y. Wang 10.3390/ijgi9120697
- System vulnerability to flood events and risk assessment of railway systems based on national and river basin scales in China W. Zhu et al. 10.5194/nhess-22-1519-2022
- Extreme Events, Critical Infrastructures, Human Vulnerability and Strategic Planning: Emerging Research Issues J. Birkmann et al. 10.1142/S2345737616500172
- Flood frequency analysis and generation of flood hazard indicator maps in a semi-arid environment, case of Ourika watershed (western High Atlas, Morocco) A. El Alaoui El Fels et al. 10.1016/j.jafrearsci.2018.02.004
- Combination of GIS and mathematical modeling to predict floods in semiarid areas: case of Rheraya watershed (Western High Atlas, Morocco) A. El Alaoui El Fels et al. 10.1007/s12517-017-3345-x
- Future Public Sector Flood Risk and Risk Sharing Arrangements: An Assessment for Austria C. Unterberger et al. 10.1016/j.ecolecon.2018.09.019
- Dynamics responses of railway bridges influenced by flooded ballasted tracks subjected to high-speed trains N. Kedia et al. 10.1016/j.treng.2025.100334
- Hydrodynamics of long-duration urban floods: experiments and numerical modelling A. Arrault et al. 10.5194/nhess-16-1413-2016
- Artificial Intelligence-Based Regional Flood Frequency Analysis Methods: A Scoping Review A. Zalnezhad et al. 10.3390/w14172677
- Life Cycle Cost Analysis of Prestressed Concrete Poles Subjected to Wind, Surges, and Waves S. Sohrabi et al. 10.1061/JSENDH.STENG-13840
- Postdisaster Impact Assessment of Road Infrastructure: State-of-the-Art Review A. Gajanayake et al. 10.1061/(ASCE)NH.1527-6996.0000343
- The impacts of coastal flooding and sea level rise on critical infrastructure: a novel storyline approach E. Koks et al. 10.1080/23789689.2022.2142741
- Flood Susceptibility Assessment for Improving the Resilience Capacity of Railway Infrastructure Networks G. Varra et al. 10.3390/w16182592
- Big Data for Natural Disasters in an Urban Railroad Neighborhood: A Systematic Review T. Correia et al. 10.3390/smartcities3020012
- Flood damage functions based on a single physics- and data-based impact parameter that jointly accounts for water depth and velocity T. Lazzarin et al. 10.1016/j.jhydrol.2022.127485
- Comparing Performance of ANN and SVM Methods for Regional Flood Frequency Analysis in South-East Australia A. Zalnezhad et al. 10.3390/w14203323
- Preface: Flood-risk analysis and integrated management P. Bubeck et al. 10.5194/nhess-16-1005-2016
- Frequency analysis of extreme flows using an Artificial Neural Network (ANN) model case Western High Atlas - Morocco A. El Alaoui El Fels et al. 10.1007/s12145-022-00784-w
- Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century M. Schlögl & C. Matulla 10.5194/nhess-18-1121-2018
- Shallow-water models with anisotropic porosity and merging for flood modelling on Cartesian grids M. Bruwier et al. 10.1016/j.jhydrol.2017.09.051
- Uncertainty in flood risk assessment of linear structures: Why correlation matters E. Storrøsten et al. 10.1016/j.jhydrol.2023.130442
- On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach M. Schlögl et al. 10.5194/nhess-19-201-2019
- Emerging strategies for addressing flood-damage modeling issues: A review S. Redondo-Tilano et al. 10.1016/j.ijdrr.2024.105058
- Compound climate extremes in China: Trends, causes, and projections Y. Yu et al. 10.1016/j.atmosres.2023.106675
- Economies of Integrated Risk Management? An Empirical Analysis of the Swiss Public Insurance Approach to Natural Hazard Prevention R. Schwarze & C. Croonenbroeck 10.1007/s41885-017-0014-1
- A GIS-Based Assessment of Flood Hazard through Track Records over the 1886–2022 Period in Greece N. Evelpidou et al. 10.3390/cli11110226
- Risk-based flood protection planning under climate change and modeling uncertainty: a pre-alpine case study B. Dittes et al. 10.5194/nhess-18-1327-2018
- The effects of flooding on railway infrastructure: A literature review M. Ochsner et al. 10.1016/j.trpro.2023.11.654
- Barriers and good practices related to the implementation of capability-based planning in the Brazilian armed forces and evaluation by probabilistic preferences L. Rodrigues da Silva et al. 10.1080/14702436.2025.2456033
- Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL) P. Kellermann et al. 10.5194/nhess-16-2357-2016
- Flood Risk Assessment Methodology for Complex Railway Networks: Application to the National Rail Network in Great Britain O. Ilalokhoin et al. 10.1061/NHREFO.NHENG-1911
- A River Flood and Earthquake Risk Assessment of Railway Assets along the Belt and Road Q. Wang et al. 10.1007/s13753-021-00358-2
- Vulnerability Analysis of Geographical Railway Network under Geological Hazard in China L. Yin et al. 10.3390/ijgi11060342
- Impact of storms on rail transport: a case study from Czechia V. Nezval et al. 10.1007/s11069-023-06321-2
- Adaptation Becoming Business as Usual: A Framework for Climate-Change-Ready Transport Infrastructure A. Quinn et al. 10.3390/infrastructures3020010
- 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
- Damage functions for transport infrastructure N. Habermann & R. Hedel 10.1108/IJDRBE-09-2017-0052
- Implications of climate change for railway infrastructure E. Palin et al. 10.1002/wcc.728
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