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An interactive simulation and visualization tool for flood analysis usable for practitioners

Author

Listed:
  • Johannes G. Leskens

    (University of Twente)

  • Christian Kehl

    (Delft University of Technology)

  • Tim Tutenel

    (Delft University of Technology)

  • Timothy Kol

    (Delft University of Technology)

  • Gerwin de Haan

    (Delft University of Technology)

  • Guus Stelling

    (Stelling Hydraulics)

  • Elmar Eisemann

    (Delft University of Technology)

Abstract

Developing strategies to mitigate or to adapt to the threats of floods is an important topic in the context of climate changes. Many of the world’s cities are endangered due to rising ocean levels and changing precipitation patterns. It is therefore crucial to develop analytical tools that allow us to evaluate the threats of floods and to investigate the influence of mitigation and adaptation measures, such as stronger dikes, adaptive spatial planning, and flood disaster plans. Up until the present, analytical tools have only been accessible to domain experts, as the involved simulation processes are complex and rely on computational and data-intensive models. Outputs of these analytical tools are presented to practitioners (i.e., policy analysts and political decision-makers) on maps or in graphical user interfaces. In practice, this output is only used in limited measure because practitioners often have different information requirements or do not trust the direct outcome. Nonetheless, literature indicates that a closer collaboration between domain experts and practitioners can ensure that the information requirements of practitioners are better aligned with the opportunities and limitations of analytical tools. The objective of our work is to present a step forward in the effort to make analytical tools in flood management accessible for practitioners to support this collaboration between domain experts and practitioners. Our system allows the user to interactively control the simulation process (addition of water sources or influence of rainfall), while a realistic visualization allows the user to mentally map the results onto the real world. We have developed several novel algorithms to present and interact with flood data. We explain the technologies, discuss their necessity alongside test cases, and introduce a user study to analyze the reactions of practitioners to our system. We conclude that, despite the complexity of flood simulation models and the size of the involved data sets, our system is accessible for practitioners of flood management so that they can carry out flood simulations together with domain experts in interactive work sessions. Therefore, this work has the potential to significantly change the decision-making process and may become an important asset in choosing sustainable flood mitigations and adaptation strategies.

Suggested Citation

  • Johannes G. Leskens & Christian Kehl & Tim Tutenel & Timothy Kol & Gerwin de Haan & Guus Stelling & Elmar Eisemann, 2017. "An interactive simulation and visualization tool for flood analysis usable for practitioners," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(2), pages 307-324, February.
    • Handle: RePEc:spr:masfgc:v:22:y:2017:i:2:d:10.1007_s11027-015-9651-2
    DOI: 10.1007/s11027-015-9651-2
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    References listed on IDEAS

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    1. Marcela Brugnach & Andrew Tagg & Florian Keil & Wim Lange, 2007. "Uncertainty Matters: Computer Models at the Science–Policy Interface," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(7), pages 1075-1090, July.
    2. H. Moel & J. Aerts, 2011. "Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates," 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. 58(1), pages 407-425, July.
    3. ., 2013. "The intangible economy," Chapters, in: Intellectual Property Rights and the Financing of Technological Innovation, chapter 2, pages 12-71, Edward Elgar Publishing.
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    Cited by:

    1. Marco Criado & Antonio Martínez-Graña & Javier Sánchez San Román & Fernando Santos-Francés, 2018. "Flood Risk Evaluation in Urban Spaces: The Study Case of Tormes River (Salamanca, Spain)," IJERPH, MDPI, vol. 16(1), pages 1-19, December.

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