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Augmented reality (AR) is a technology that integrates 3D virtual objects into the physical world in real-time, while virtual reality (VR) is a technology that immerses users in an interactive 3D virtual environment. The fast development of augmented reality (AR) and virtual reality (VR) technologies has reshaped how people interact with the physical world. This presentation will outline the results from two unique AR and one Web-based VR coastal engineering projects, motivating the next stage in the development of the augmented reality package for coastal students, engineers, and planners.

 

SUMMARY On 2020 May 2, an Mw = 6.6 earthquake struck about 63 km south of Ierapetra in Crete, Greece. The earthquake generated a small tsunami which agitated local harbours. We studied this event in the context of earthquakes with seismic records in 1908, 1910, 1923, 1952, 2009 and 2013, all of similar magnitudes located south of Crete. Based on an energy-to-moment ratio, our analysis suggests that this event was neither slow nor fast, hence appropriate for using scaling laws to infer seafloor deformations. We also performed a field survey, three days after the event and present field observations from seven locations, including the island of Chrisi, where our highest measurement of 0.95 m was located. Runup along the coast of southern Crete ranged from 0.24 to 0.87 m. One tide gauge record is available for this event, and we did image analysis to obtain accurately timed water surface elevations from eyewitness videos and images. We undertook high-resolution hydrodynamic simulations using published moment tensor solutions to identify the source of the tsunami. Simulations were performed with two models, MOST (a nonlinear shallow water model) and COULWAVE (a Boussinesq-type model), to infer how different approximations of the parent equations of motion affect predictions for tsunamis of this size, which are fairly common in the Eastern Mediterranean and routinely trigger Tsunami Service Providers to issue warning messages. Based on the inter-model comparison, we conclude that the shallow-water equations are adequate in modelling this event at the distances considered, suggesting that such codes can be used to infer the tsunami source and to estimate tsunami impacts. Last, our field work revealed lack of knowledge of tsunami hazards, as most eyewitnesses remained near the waterfront, filming the associated unusual water motions instead of taking shelter on high ground. 

This paper describes a two-dimensional scalar transport model solving advection-diffusion equation based on GPU-accelerated Boussinesq model called Celeris. Celeris is the firstly-developed Boussinesq-type model that is equipped with an interactive system between user and computing unit. Celeris provides greatly advantageous user-interface that one can change not only water level, topography but also model parameters while the simulation is running. In this study, an advection-diffusion equation for scalar transport was coupled with extended Boussinesq equations to simulate scalar transport in the nearshore.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/aHvMmdz3wps 

The abstract is based on the project of "extended reality" for effective communication of hazards from extreme coastal events, such as tsunamis and hurricanes. The project attends to use augmented reality (AR) and mixed reality (MR) to allow, for example, a coastal resident to see a digital tsunami crashing onshore and bulldozing through a community, all while standing on their beach or in their driveway. This type of experience provides an emotional impact and long-lasting memory that will guide future planning decisions and proactivity. In this abstract, we focus on applying mobile augmented reality (AR) to a tsunami simulation system and creating this digital extreme event experience. The tsunami modeling studies use the methods and models described in Tavakkol & Lynett (2017), Lynett et al. (2017) and Lynett & Tavakkol (2017).Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/TD4qI5QdAEc