Nivar

Nivar

Assessment the Impacts of Metaverse Industry on Flood Modeling Visualization

Document Type : Original Article

Authors
Mohammad Ansari ghojghar 1
Paria Pour Mohammad 2
1 Assistant professor, Department of Reclamation of arid and mountainous regions Engineering, Faculty of Natural Resources, University of Tehran,, Iran.
2 Ph.D. candidate. Department of Reclamation of arid and mountainous regions Engineering, Faculty of Natural Resources, University of Tehran, Iran.
10.30467/nivar.2025.491959.1314
Abstract
Climate change and rapid urbanization, particularly in cities with inadequate infrastructure, have significantly increased the frequency and intensity of destructive floods. Beyond the devastation of physical infrastructure, floods pose grave threats to human health and the environment. Addressing these challenges necessitates the adoption of hydrological modeling and simulation to predict and manage floods effectively. This research explores the potential of metaverse technologies in flood modeling and visualization. Virtual reality (VR) and augmented reality (AR) tools offer highly precise simulations of flood scenarios, enabling planners, citizens, and stakeholders across communities to make informed, practical decisions based on complex datasets. These technologies facilitate more effective risk mitigation and damage reduction strategies. By offering more immersive and realistic simulations, metaverse technologies greatly enhance predictive accuracy and decision-making in flood crisis management. Consequently, they hold a transformative role in reducing vulnerabilities and strengthening community resilience against natural disasters.
Keywords
Natural Hazards
Augmented Reality
Virtual Reality
Mixed Reality
Internet of Things
Subjects
  1. Agonafir, C., Lakhankar, T., Khanbilvardi, R., Krakauer, N., Radell, D. and Devineni, N., 2023. A review of recent advances in urban flood research. Water Security, 19, p.100141.
  2. Anees, M. T., Abdullah, K., Nawawi, M. N. M., Ab Rahman, N. N. N., Piah, A. R. M., Zakaria, N. A., ... & Omar, A. M. (2016). Numerical modeling techniques for flood analysis. Journal of African Earth Sciences, 124, 478-486.
  3. Bakhtiari, V., Piadeh, F., Behzadian, K. and Kapelan, Z., 2023. A critical review for the application of cutting-edge digital visualisation technologies for effective urban flood risk management. Sustainable Cities and Society, p.104958.
  4. Bakhtiari, V., Piadeh, F., Chen, A.S. and Behzadian, K., 2024. Stakeholder analysis in the application of cutting-edge digital visualisation technologies for urban flood risk management: A critical review. Expert Systems with Applications, 236, p.121426.
  5. Change, I.C., 2013. The physical science basis.
  6. Chow, Y.W., Susilo, W., Li, Y., Li, N. and Nguyen, C., 2022. Visualization and cybersecurity in the metaverse: A survey. Journal of Imaging, 9(1), p.11.
  7. Geaves, L., 2016. Public priorities and public goods: The drivers and responses to transitions in flood risk management (Doctoral dissertation, University of Oxford).
  8. Haynes, P. and Lange, E., 2016. Mobile augmented reality for flood visualisation in urban riverside landscapes. JoDLA–Journal of Digital Landscape Architecture, 1, pp.254-262.
  9. Haynes, P., Hehl-Lange, S. and Lange, E., 2018. Mobile augmented reality for flood visualisation. Environmental modelling & software, 109, pp.380-389.
  10. Herman, L., Russnák, J. and Řezník, T., 2017. Flood modelling and visualizations of floods through 3D open data. In Environmental Software Systems. Computer Science for Environmental Protection: 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, May 10-12, 2017, Proceedings 12 (pp. 139-149). Springer International Publishing.
  11. Hsu, H.M. and Gourbesville, P., 2023. Introduction of integrated decision support system for flood disaster management. In IOP Conference Series: Earth and Environmental Science (Vol. 1136, No. 1, p. 012019). IOP Publishing.
  12. Hughes, J.D., Langevin, C.D., Chartier, K.L. and White, J.T., 2012. Documentation of the surface-water routing (SWR1) process for modeling surface-water flow with the US Geological Survey modular ground-water model (MODFLOW-2005) (No. 6-A40, pp. i-113). US Geological Survey.
  13. Jacquinod, F. and Bonaccorsi, J., 2019. Studying social uses of 3D geovisualizations: Lessons learned from action-research projects in the field of flood mitigation planning. ISPRS International Journal of Geo-Information, 8(2), p.84.
  14. Liao, C., Yeh, K., Jia, Y., Liao, J., Cheng, L., Draper, S., & An, H. (2014, November). Three dimensional numerical simulations of hydrodynamics and morphodynamics on rapidly varied channel. In Scour and Erosion: Proceedings of the 7th International Conference on Scour and Erosion, Perth, Australia, 2–4 December 2014 (pp. 373-380).
  15. Mirauda, D., Erra, U., Agatiello, R. and Cerverizzo, M., 2018. Mobile augmented reality for flood events management. Water Studies, 47, pp.418-424.
  16. Mystakidis, Stylianos (2022) Metaverse, Encyclopedia 2022, 2, 486–497.https://doi.org/10.3390/encyclopedia2010031.
  17. Mol, J.M., Botzen, W.W. and Blasch, J.E., 2022. After the virtual flood: Risk perceptions and flood preparednessafter virtual reality risk communication. Judgment and Decision Making, 17(1), pp.189-214.
  18. Oyshi, M.T., Maleska, V., Schanze, J., Bormann, F., Dachselt, R. and Gumhold, S., 2022, June. FloodVis: Visualization of Climate Ensemble Flood Projections in Virtual Reality. In EnvirVis@ EuroVis (pp. 1-9).
  19. Pachauri, R.K., 2007. Sustainable well-being. Science, 315(5814), pp.913-913.
  20. Rafiei-Sardooi, E., Azareh, A., Choubin, B., Mosavi, A.H. and Clague, J.J., 2021. Evaluating urban flood risk using hybrid method of TOPSIS and machine learning. International Journal of Disaster Risk Reduction, 66, p.102614.
  21. Rajak, J., 2021. A preliminary review on impact of climate change and our environment with reference to global warming. Int. J. Environ. Sci, 10, pp.11-14.
  22. Rydvanskiy, R. and Hedley, N., 2021. Mixed reality flood visualizations: reflections on development and usability of current systems. ISPRS International Journal of Geo-Information, 10(2), p.82.
  23. Rydvanskiy, R., 2020. Mixed reality interfaces in flood risk management.
  24. Saurav, K.C., Shrestha, S., Ninsawat, S. and Chonwattana, S., 2021. Predicting flood events in Kathmandu Metropolitan City under climate change and urbanisation. Journal of environmental management, 281, p.111894.
  25. Sermet, Y. and Demir, I., 2019. Flood action VR: a virtual reality framework for disaster awareness and emergency response training. In ACM SIGGRAPH 2019 Posters (pp. 1-2).
  26. Sermet, Y. and Demir, I., 2020. Virtual and augmented reality applications for environmental science education and training. In New perspectives on virtual and augmented reality (pp. 261-275). Routledge.
  27. Sivaramanan, S., 2015. Global Warming and Climate change, causes, impacts and mitigation. Central environmental authority, 2(4).
  28. Smith, K., & Ward, R. (1998). Floods: physical processes and human impacts.
  29. Stavroulakis, A., Dimelli, D., Roumeliotis, M. and Mania, A., 2024. An Augmented Reality System Architecture for Flood Management. In GISTAM (pp. 211-218).
  30. Strelkoff, T., 1970. Numerical solution of Saint-Venant equations. Journal of the Hydraulics division, 96(1), pp.223-252.
  31. Tomkins, A. and Lange, E., 2019. Interactive landscape design and flood visualisation in augmented reality. Multimodal Technologies and Interaction, 3(2), p.43.
  32. Turner, R. and Sun, C., 2024. Near Real-Time Responsive Flood Event Representation: An Open-Source Interactive Web Application Architecture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, pp.365-372.
  33. Vreugdenhil, C.B., 2013. Numerical methods for shallow-water flow (Vol. 13). Springer Science & Business Media.
  34. Woolway, R.I., Kraemer, B.M., Lenters, J.D., Merchant, C.J., O’Reilly, C.M. and Sharma, S., 2020. Global lake responses to climate change. Nature Reviews Earth & Environment, 1(8), pp.388-403.
  35. Sermet, Y., & Demir, I. (2020). Virtual and augmented reality applications for environmental science education and training. In New perspectives on virtual and augmented reality (pp. 261-275). Routledge.

  • Receive Date 03 December 2024
  • Revise Date 04 January 2025
  • Accept Date 08 January 2025
  • Publish Date 09 April 2025