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Geospatial Risk Communication and Visualization of Natural Hazards Using Augmented Reality Constructs

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Abstract

GIS-based maps are currently the norm for risk visualization and communication of natural hazards. With advances in geospatial visualization and spatial interface technologies, interactive and dynamic risk visualization is now possible. Augmented reality adds another dimension to realistic visualization of natural hazards like floods and volcanic flows which can be achieved through spatial risk visualization and communication simulations in virtual reality mode. Communicating the knowledge to the most vulnerable communities which are residing in the risk zones is very useful for local stakeholders as they are mostly needful of the adaptation strategies. The current article experiments the use of an Augmented Reality Construct for developing a risk visualization interface, which delivers spatially aware geovisualization simulations. We propose the Augmented Reality Sandbox for educating and engaging the local community through simulated visualization of hazard risk and vulnerability with an aim to achieve holistic learning. This construct has a great potential for developing interactive and location-aware three-dimensional real-world simulations and visualization. We suggest that such applications be more prevalently used as we found it to be more effective than static 3D visualization constructs like hazard maps in communicating the risk potential from natural hazards like floods and volcanic lava flows.

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... AR games can enhance emergency response efficacy (Duijzer et al., 2019), providing users with a deep understanding of key concepts, which in turn affects cognitive processes such as perception and motivation (Li & Been-Lirn Duh, 2013). While Virtual Reality (VR) games have been developed to simulate flood scenarios (D'Amico et al., 2023;Fujimi & Fujimura, 2020;Mol et al., 2022;Sermet & Demir, 2019), there is a notable gap in the research on AR applications for flood event management (Ancient & Teeuw, 2020;Haynes et al., 2018;Kundu & Nawaz, 2019). This highlights an opportunity for AR games to focus on location-based flash flood response training. ...
... Augmented reality (AR) has demonstrated effectiveness in raising awareness about natural hazards and enhancing motivation and learning outcomes in disaster preparedness education (Kundu & Nawaz, 2019;Lu et al., 2022). AR has also been shown to influence attitudes and behaviors related to environmental awareness, as demonstrated in Coen et al.'s study, where an AR application successfully increased awareness of environmental issues by providing interactive and detailed information (Coen et al., 2019). ...
... 6a and 7a represent the typical color-coded visualization usually employed in preparing hazard and risk maps. Presenting these visualizations to the general public or policymakers may not effectively convey the information, as such maps can be challenging to interpret by non-experts (Dransch et al., 2010;Kundu and Nawaz 2019;Pedoth et al., 2021). In contrast, the corresponding VR visualizations immerse users in virtual environments, allowing them to observe the snow avalanche, landslide, and flood in their realistic representations from various perspectives. ...
Thesis
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Flash floods in unconfined rivers have become more frequent and severe, causing significant damage to infrastructure and inducing widespread evacuations. Understanding the inundation area, water depths, and flow velocities of such events is critical for identifying flood-prone areas and developing effective communication strategies to support vulnerable populations and river managers. Traditional communication methods, such as reports and maps, may not be efficient or accessible to broader audiences. Digital twins, highly detailed and accurate virtual representations of real-world flooding events often utilizing Virtual Reality (VR) experiences, are promising communication tools. This research explores the potential of advanced visualization techniques and hydraulic models to enhance flood hazard communication and management. To achieve this, the technical requirements and applications of visualizing hydraulic models with computer graphic suites were investigated. This led to the development of a framework that integrates advanced fluid solvers within these suites to visualize local flooding. To ensure a realistic visualization of flash floods, understanding these phenomena and identifying the most suitable and efficient modeling techniques is key. The methods were demonstrated on the 2017 flash flood in the Norwegian mountain river Storelva in Utvik, following preliminary testing and validation on this and other case studies. Data mining played an essential role in retrieving calibration and validation data for a numerical model of the 2017 flash flood in Utvik through soft data and remote sensing techniques. Utilizing on-site and post-event information, the reach affected by the 2017 flash flood was reconstructed, revealing critical locations, main flow paths, and maximum wetted, and dry areas. The steep slope and loose material composition of the valley and riverbed contributed significantly to sediment transport during this extreme event. The dataset served as calibration and validation for the 2D IberPLUS model. Graphics Processing Unit (GPU)-based computing and sensitivity analysis contributed to the development of a benchmark 2D numerical model in IberPLUS using the dataset obtained from data mining. GPU-computing proved to be notably faster than standard and parallelized CPU-computing, resulting in up to 99.5% reduction in computing time. Models with fewer than 150,000 cells demonstrated the best accuracy-speed balance. The flood model was optimized following the computing speed-accuracy trade-off guidelines resulting from the sensitivity analysis and further coupled into a VR-based framework for its visualization. The VR-based framework allows for integration of data from various meshbased Eulerian numerical models, enabling users to interact with and explore geophysical flows in a VR environment. This versatility was demonstrated through three case studies in Norway: a virtual snow avalanche in Skogshorn, Hemsedal, the 2020 Gjerdrum quick clay landslide, and the 2017 Utvik flash flood. Intuitive menus and interactions in the VR environment allow users to read flow depth and velocity values, fostering a direct connection between numerical data and visual representation. A flood VR prototype was further expanded into a digital twin utilizing serious gaming. To assess the effectiveness of the digital twin and its impact on users, tests were carried out to gauge emotional responses to flooding scenarios compared to safe scenarios. Findings suggest that identity priming, i.e., providing cues to influence the users’ perception of their identity and social role, and emotional state, i.e., fear or sense of safety, significantly impacted user involvement and experienced realism in the VR environment. Additionally, identity and fear considerably affected cognitive workload and frustration when users were tasked with locating a safe spot in the flooding scenario. Steep rivers respond quickly to extreme hydrologic conditions, requiring thorough monitoring, data collection, and modeling tools to recreate flash floods. Utilizing GPU-equipped PCs enables near real-time hydrodynamic information, making flood data more accessible and facilitating efficient hazard management. Integrating advanced fluid solvers within computer graphics suites and serious gaming through a VR-based framework offers a powerful solution for achieving realistic visualizations of reliable hydrodynamic simulations. This combination of technologies encourages collaboration and resource sharing among different disciplines and audiences, enhancing the effective study and communication of natural hazards. Testing a flood prototype on users revealed the impact of factors such as identity and emotions when visualizing natural hazards in VR. These findings emphasize the importance of designing hazard communication tools that are usercentered, engaging, and effective.
... 6a and 7a represent the typical color-coded visualization usually employed in preparing hazard and risk maps. Presenting these visualizations to the general public or policymakers may not effectively convey the information, as such maps can be challenging to interpret by non-experts (Dransch et al., 2010;Kundu and Nawaz 2019;Pedoth et al., 2021). In contrast, the corresponding VR visualizations immerse users in virtual environments, allowing them to observe the snow avalanche, landslide, and flood in their realistic representations from various perspectives. ...
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This paper presents a comprehensive Virtual Reality (VR) based framework for visualizing numerical simulations of geophysical flows in a realistic and immersive manner. The framework allows integrating output data from various mesh-based Eulerian numerical models into a VR environment, enabling users to interact with and explore the terrain and geophysical flows through the VR experience. Three case studies, including a snow avalanche, quick clay landslide, and flash flood in Norway, demonstrate its versatility. The VR environment offers intuitive menus and user interactions, allowing users to read flow depth and velocity values, facilitating a direct link between numerical data and their visual representation. This framework can reshape geophysical flow hazard identification and disaster management by integrating physics-based numerical modeling results into VR Environments, thus enhancing knowledge dissemination among experts, the general public, non-expert stakeholders, and policymakers. The paper also highlights challenges and opportunities identified during the integration, guiding future developments.
... In this context, [44] propose geographic information systems from an interface that allows visualizing risks, offering simulations that educate and involve the local community through the interactive visualization of risk and vulnerability. The objective is to achieve integral learning. ...
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... Some studies explored the role of narratives and stories in appealing to discrete emotions, as well their ability to make messages easier to comprehend and more engaging (Dahlstrom, 2014 (2013), for instance, found that narrative versus nonnarrative messages resulted in female sun bed users reporting higher feelings of skin cancer risk. Numerous other studies examined the role of feelings for various visualizations like photographs, pictograms, graphs, maps, videos, and augmented/virtual reality (Kundu & Nawaz, 2017;Niederdeppe, Roh, & Dreisbach, 2016;Rickard, Schuldt, Eosco, Scherer, & Daziano, 2017a;Xie, Wang, Zhang, Li, & Yu, 2011). In a literature review, Downs (2014) concluded that videos can be powerful risk communication tools for changing behavior, although they can be costly and may produce unintended consequences. ...
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The 40th Anniversary of the Society for Risk Analysis presents an apt time to step back and review the field of risk communication. In this review, we first evaluate recent debates over the field's current state and future directions. Our takeaway is that efforts to settle on a single, generic version of what constitutes risk communication will be less productive than an open‐minded exploration of the multiple forms that comprise today's vibrant interdisciplinary field. We then review a selection of prominent cognitive, cultural, and social risk communication scholarship appearing in the published literature since 2010. Studies on trust in risk communication messengers continued to figure prominently, while new research directions emerged on the opportunities and critical challenges of enhancing transparency and using social media. Research on message attributes explored how conceptual insights particularly relating to framing, affective and emotional responses, and uncertainty might be operationalized to improve message effectiveness. Studies consistently demonstrated the importance of evaluation and how varying single attributes alone is unlikely to achieve desired results. Research on risk communication audiences advanced on risk perception and multiway engagement with notable interest in personal factors such as gender, race, age, and political orientation. We conclude by arguing that the field's interdisciplinary tradition should be further nurtured to drive the next evolutionary phase of risk communication research.
... In the model, the texture changes when other categories of markers are close to the terrain markers, such as hydrographic or soil markers. In addition, some researchers have also used a projector to project river or flood textures onto a sandbox surface to represent the relationship between floods and the terrain (Vaughan, Vaughan, and Seeley 2017;Harmon et al. 2018), which could effectively improve the flood awareness of the participants (Kundu and Nawaz 2017). Although the above approaches are feasible to provide an overarching perspective on AR flood visualization, there are still some problems that need to be solved. ...
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Flood visualization is an effective and intuitive tool for representing flood information from abstract spatiotemporal data. With the growing demand for flood disaster visualizations and mitigation, augmented flood visualizations that support decision makers’ perspectives are needed, which can be enhanced by emerging augmented reality (AR) and 3D printing technologies. This paper proposes an innovative flood AR visualization method based on a 3D-printed terrain model and investigates essential techniques, such as the suitable size calculation of the terrain models, the adaptive processing of flood data, and hybridizing virtual flood and terrain models. A prototype experimental system (PES) based on the proposed method and a comparison experimental system (CES) based on a virtual terrain are developed to conduct comparative experiments, which combine the system performance and questionnaire method to evaluate the efficiency and usability of the proposed method. The statistical results indicate that the method is useful for assisting participants in understanding the flood hazard and providing a more intuitive and realistic visual experience compared with that of the traditional AR flood visualization method. The frame rate is stable at 60 frames per second (FPS), which means that the proposed method is more efficient than the traditional AR flood visualization method.
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