Interactive Simulation and Visualisation of Realistic Flooding Scenarios

Kehl, Christian; Haan, G. de

doi:10.1007/978-3-642-33218-0_7

Cited by 4 publications

(7 citation statements)

References 21 publications

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“…Nowadays, user interfaces of models have become easy to use and strongly visual and computation times are reduced to such an extent that models can provide outputs in real-time (Zhu and Chen 2005;Kehl and de Haan 2012). In this way, this new technology may allow that model outputs do not anymore have to be produced only by domain experts and be provided to practitioners in a one-way approach to practitioners, but that models can be used during work session, interactively supporting the collaborative knowledge construction process between domain experts and practitioners.…”

Section: Interactive Use Of Simulation Modelsmentioning

confidence: 99%

“…Our system builds upon an efficient out-of-core rendering system that displays large-scale LiDAR data (De Haan 2009;De Haan 2010;Kehl and de Haan 2012).…”

Section: D Visualizationmentioning

confidence: 99%

“…We added four extensions to the existing 3D visualization techniques (De Haan 2009;De Haan 2010;Kehl and de Haan 2012). First, we introduce a solution to directly manipulate the LiDAR point sets to improve collaborative aspects.…”

Section: Technical Contributionsmentioning

confidence: 99%

“…Hereby, we avoid treating the entire data set, which would be too large to allow for interactive rates. Each LiDAR point is localized on the fly via a hierarchical structure build from the user-defined polygonal areas in the KML file (Kehl and de Haan 2012). The latter stores in each area the wanted attribute modification.…”

Section: Direct Interaction With Data Pointsmentioning

confidence: 99%

“…In this virtual environment, the model output of the Interactive Water Simulation Model were presented (see Figure 4-3). More details on this technology can be found in Kehl and De Haan (2012).…”

Section: Realistic Visualization Of Model Outputsmentioning

confidence: 99%

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Interactive use of simulation models for collaborative knowledge construction

Leskens

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Section: Interactive Use Of Simulation Modelsmentioning

confidence: 99%

“…Our system builds upon an efficient out-of-core rendering system that displays large-scale LiDAR data (De Haan 2009;De Haan 2010;Kehl and de Haan 2012).…”

Section: D Visualizationmentioning

confidence: 99%

Section: Technical Contributionsmentioning

confidence: 99%

Section: Direct Interaction With Data Pointsmentioning

confidence: 99%

Section: Realistic Visualization Of Model Outputsmentioning

confidence: 99%

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The Role of Visualisation in Spatial Planning: A GIS-Based Approach

Giaoutzi

Papadopoulou

2021

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

Leskens

Kehl

Tutenel

et al. 2015

Mitig Adapt Strateg Glob Change

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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.

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Interactive Simulation and Visualisation of Realistic Flooding Scenarios

Cited by 4 publications

References 21 publications

Interactive use of simulation models for collaborative knowledge construction

Interactive use of simulation models for collaborative knowledge construction

The Role of Visualisation in Spatial Planning: A GIS-Based Approach

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

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