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Estimating the hazard of tree fall along railway lines: a new GIS tool

Author

Listed:
  • Sonja Szymczak

    (Federal Railway Authority)

  • Frederick Bott

    (Federal Railway Authority)

  • Pierre Babeck

    (LUP – Luftbild Umwelt Planung GmbH)

  • Annett Frick

    (LUP – Luftbild Umwelt Planung GmbH)

  • Benjamin Stöckigt

    (LUP – Luftbild Umwelt Planung GmbH)

  • Kathrin Wagner

    (LUP – Luftbild Umwelt Planung GmbH)

Abstract

Trees along railway networks represent a high risk due to their potential to fall during extreme weather events. The identification of locations along railway tracks with highest tree fall hazard is an important part of a proactive natural hazard management. A new user-friendly GIS tool (as ArcGIS toolbox) was developed that provides the opportunity to detect individual trees along railway lines and to estimate the hazard of tree fall. By an automated analysis of open source digital remote sensing data and additional open source geodata, the tool allows for an up-to-date and area-wide monitoring of trees on railway lines and other infrastructural elements. Important parameters describing meteorological conditions, site conditions, topographic conditions and tree characteristics are implemented. The tool was successfully tested and applied to two federal states in Germany (Northrhine-Westphalia and Thuringia). Due to the automatization of most of the processes, it is possible to extend the application to larger areas with low effort, i.e., to the Germany-wide rail network or to other countries. It is also possible to perform the analysis for other modes of transport. In the context of natural hazard management, the tool can be applied in prevention and can usefully support already existing vegetation management concepts.

Suggested Citation

  • Sonja Szymczak & Frederick Bott & Pierre Babeck & Annett Frick & Benjamin Stöckigt & Kathrin Wagner, 2022. "Estimating the hazard of tree fall along railway lines: a new GIS tool," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2237-2258, July.
    • Handle: RePEc:spr:nathaz:v:112:y:2022:i:3:d:10.1007_s11069-022-05263-5
    DOI: 10.1007/s11069-022-05263-5
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    References listed on IDEAS

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    1. Johanna Ludvigsen & Ronny Klæboe, 2014. "Extreme weather impacts on freight railways in Europe," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(1), pages 767-787, January.
    2. Andrea Vajda & Heikki Tuomenvirta & Ilkka Juga & Pertti Nurmi & Pauli Jokinen & Jenni Rauhala, 2014. "Severe weather affecting European transport systems: the identification, classification and frequencies of events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(1), pages 169-188, May.
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    Cited by:

    1. Otto, Räisänen & Susanne, Suvanto & Jouni, Haapaniemi & Jukka, Lassila, 2023. "Crown snow load outage risk model for overhead lines," Applied Energy, Elsevier, vol. 343(C).

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