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JDR Vol.17 No.5 pp. 779-790
(2022)
doi: 10.20965/jdr.2022.p0779

Paper:

High Precision Lava Flow Simulation Using 8K Drone Digital Elevation Data

Eisuke Fujita*,†, Hiroyuki A. Shimizu*, and Haruhisa Nakamichi**

*National Research Institute for Earth Science and Disaster Resilience (NIED)
3-1 Tennodai, Tsukuba, Ibaraki 305-0006, Japan

Corresponding author

**Sakurajima Volcano Research Center, Disaster Prevention Research Institute, Kyoto University, Kagoshima, Japan

Received:
January 14, 2022
Accepted:
May 23, 2022
Published:
August 1, 2022
Keywords:
8K, digital elevation map, drone, lava flow, volcanic hazard
Abstract

This study applied the numerical simulations of lava flows to evaluate the damage caused by volcanic hazards. The accuracy of the numerical simulation was governed by the reliability of the input parameters in the numerical models. One of the most important parameters is the information pertaining to terrain data, which is generally provided as a digital elevation model (DEM). The recently-developed 8K technology, mainly applied in the broadcasting field, provides a precise photographic survey of the terrain and can produce a detailed digital topographic map. The Japan Broadcasting Cooperation (NHK) deployed an 8K drone to generate a digital elevation model of Sakurajima Volcano, Japan. These data were used to formulate the lava flow under certain prescribed conditions. This study analyzes the influence of DEM mesh size on lava flow simulations, showing that high-precision DEM outlines the distribution of inundated areas in detail. Moreover, a smaller mesh resulted in a faster arrival time of the lava flow. The study’s results are useful for both risk and crisis management.

Cite this article as:
E. Fujita, H. Shimizu, and H. Nakamichi, “High Precision Lava Flow Simulation Using 8K Drone Digital Elevation Data,” J. Disaster Res., Vol.17 No.5, pp. 779-790, 2022.
Data files:
References
  1. [1] M. Hidaka, A. Goto, S. Umino, and E. Fujita, “VTFS project: Development of the lava flow simulation code LavaSIM with a model for three-dimensional convection, spreading, and solidification,” Geochemistry, Geophysics, Geosystems, Vol.6, No.7, Article No.Q07008, doi: 10.1029/2004GC000869, 2005.
  2. [2] C. Proietti, M. Coltelli, M. Marsella, and E. Fujita, “A quantitative approach for evaluating lava flow simulation reliability: LavaSIM code applied to the 2001 Etna eruption,” Geochemistry, Geophysics, Geosysytems, Vol.10, No.4, Article No.Q09003, doi: 10.1029/2009GC002426, 2009.
  3. [3] G. Bilotta, A. Cappello, A. Hérault, and C. Del Negro, “Influence of topographic data uncertainties and model resolution on the numerical simulations of lava flows,” Environmental Modelling & Software, Vol.112, pp. 1-15, doi: 10.1016/j.envsoft.2018.11.001, 2019.
  4. [4] T. Kobayashi, D. Miki, H. Sasaki, M. Iguchi, T. Yamamoto, and K. Uto, “Geological map of Sakurajima volcano,” Geological Survey of Japan, AIST, 2013, https://gbank.gsj.jp/volcano/Act_Vol/sakurajima/map/volcmap01.html [accessed June 29, 2022]
  5. [5] M. Koike and H. Nakamichi, “Dike inflation process beneath Sakurajima volcano, Japan, during the earthquake swarm of August 15, 2015,” Frontiers in Earth Science, doi: 10.3389/feart.2020.600223, 2021.
  6. [6] K. Hotta, M. Iguchi, and T. Tameguri, “Rapid dike intrusion into Sakurajima volcano on August 15, 2015, as detected by multi-parameter ground deformation observations,” Earth, Planets and Space, Vol.68, Article No.68, doi: 10.1186/s40623-016-0450-0, 2016.
  7. [7] T. Jitsufuchi, “Development of an Optical Multispectral Remote Sensing System for Measuring Volcanic Surface Phenomena – Promotion Project for Next Generation Volcano Research B2 (Subtopic 2-2),” J. Disaster Res., Vol.14, No.5, pp. 728-743, doi: 10.20965/jdr.2019.p0728, 2019.
  8. [8] G. Ganci, A. Cappello, G. Bilotta, A. Herault, V. Zago, and C. Del Negro, “Mapping Volcanic Deposits of the 2011–2015 Etna Eruptive Events Using Satellite Remote Sensing,” Frontiers in Earth Science, Vol.6, doi: 10.3389/feart.2018.00083, 2018.
  9. [9] C. Proietti, M. Coltelli, M. Marsella, M. Martino, S. Scifoni, and F. Giannone, “Towards a satellite-based approach to measure eruptive volumes at Mt. Etna using Pleiades datasets,” Bulletin of Volcanology, Vol.82, No.4, Article No.35, doi: 10.1007/s00445-020-01374-8, 2020.
  10. [10] Japan Broadcasting Corporation (NHK), “NHK BS4K8K, about 8K.” https://www.nhk.or.jp/bs4k8k/eng/about8k/ [accessed June 29, 2022]
  11. [11] Japan Broadcasting Corporation (NHK), “NHK BS4K8K project.” https://www.nhk.or.jp/bs4k8k/eng/projects/ [accessed June 29, 2022]
  12. [12] DJI M600 Pro, https://www.dji.com/jp/matrice600-pro [accessed June 29, 2022]
  13. [13] T. Murase and A. R. McBirney, “Properties of some common igneous rocks and their melts at high temperatures,” Geological Society of America Bulletin, Vol.84, No.11, pp. 3563-3592, doi: 10.1130/0016-7606(1973)84<3563_POSCIR>2.0.CO;2, 1973.
  14. [14] I. M. Krieger and T. J. Dougherty, “A mechanism for Non-Newtonian flow in suspensions of rigid spheres,” Trans. of the Society of Rheology, Vol.3, No.1, pp. 137-152, doi: 10.1122/1.548848, 1959.
  15. [15] B. Cordonnier, E. Lev, and F. Garel, “Benchmarking lava-flow models,” A. J. L. Harris, T. De Groeve, F. Garel, and S. A. Carn (Eds.), “Detecting, Modelling and Responding to Effusive Eruptions,” Geological Society, London, Special Publications, Vol.426, pp. 425-445, doi: 10.1144/SP426.7, 2015.
  16. [16] K. Trachenko, “The Vogel–Fulcher–Tammann law in the elastic theory of glass transition,” J. of Non-Crystalline Solids, Vol.354, No.32, pp. 3903-3906, doi: 10.1016/j.jnoncrysol.2008.05.021, 2008.
  17. [17] E. Fujita, M. Hidaka, A. Goto, and S. Umino, “Simulations of measures to control lava flows,” Bulletin of Volcanology, Vol.71, No.4, pp. 401-408, doi: 10.1007/s00445-008-0229-7, 2008.

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