日本地球惑星科学連合2022年大会

講演情報

[J] 口頭発表

セッション記号 S (固体地球科学) » S-VC 火山学

[S-VC30] 火山防災の基礎と応用

2022年5月27日(金) 15:30 〜 17:00 303 (幕張メッセ国際会議場)

コンビーナ:宝田 晋治(産業技術総合研究所活断層・火山研究部門)、コンビーナ:石峯 康浩(山梨県富士山科学研究所)、千葉 達朗(アジア航測株式会社)、コンビーナ:宮城 洋介(国立研究開発法人 防災科学技術研究所)、座長:宝田 晋治(産業技術総合研究所活断層・火山研究部門)、宮城 洋介(国立研究開発法人 防災科学技術研究所)

16:30 〜 16:45

[SVC30-11] 富士山での落石観測に向けた観測装置の開発

*桜田 泰志1神崎 友裕1石峯 康浩2宮本 英昭1 (1.東京大学、2.山梨県富士山科学研究所)


キーワード:落石、富士山、宝永火口

Rockfalls are commonly-occurring, damaging natural disaster processes often observed on mountain slopes. They are also reported on several extraterrestrial bodies, including the Moon (e.g. Bickel et al., 2020), Mars (e.g. Kumar et al., 2019), and asteroids (e.g. Jawin et al., 2020), where some crucial topographic features are explained only by their repetitious occurrences. A rockfall usually occurs when a part of outcrops or sediments detaches due to physical and biological weathering processes (e.g. Matsuoka, 1991). Then, the rock moves at high speed down a steep mountain slope, repeating collisions and crushing. Even though a rockfall is not an unusual geological process on Earth, its nature is not fully understood because of its short duration and contingency. While many rockfalls have been studied after their occurrences and their behaviors are theoretically or numerically studied (e.g. Li & Lan, 2015), real-time, precise, and detailed observations of rockfalls are still challenging.
We are interested in the Hōei Crater of Mount Fuji because of its geological similarities to asteroids and the Moon and its high frequency of reported rockfalls, which may provide the best opportunities to observe rockfalls in real-time. We are developing an autonomous observation system with sufficient weather resistance, a stable power source, and the capability to describe the phenomena at high resolution: The camera is protected by a lightweight waterproof box, and the cables are protected by waterproof connectors; We use solar cells connected to a battery with a sufficiently large capacity to secure a stable power supply; We develop an autonomous mechanism which cuts off the power when the system is not in use; We implemented a machine-learning-based motion detection algorithm to reduce the total amount of data. This newly-developed observation system has been tested for a preliminary evaluation both in the laboratory and in the field.

References
Bickel, V. T., Aaron, J., Manconi, A., Loew, S., & Mall, U. (2020). Impacts drive lunar rockfalls over billions of years. Nature Communications, 11(1), 1–7. https://doi.org/10.1038/s41467-020-16653-3
Jawin, E. R., Walsh, K. J., Barnouin, O. S., McCoy, T. J., Ballouz, R. L., DellaGiustina, D. N., et al. (2020). Global Patterns of Recent Mass Movement on Asteroid (101955) Bennu. Journal of Geophysical Research: Planets, 125(9), 1–21. https://doi.org/10.1029/2020JE006475
Kumar, P. S., Krishna, N., Prasanna Lakshmi, K. J., Raghukanth, S. T. G., Dhabu, A., & Platz, T. (2019). Recent seismicity in Valles Marineris, Mars: Insights from young faults, landslides, boulder falls and possible mud volcanoes. Earth and Planetary Science Letters, 505, 51–64. https://doi.org/10.1016/j.epsl.2018.10.008
Li, L., & Lan, H. (2015). Probabilistic modeling of rockfall trajectories: a review. Bulletin of Engineering Geology and the Environment, 74(4), 1163–1176. https://doi.org/10.1007/s10064-015-0718-9
Matsuoka, N. (1991). A model of the rate of frost shattering: Application to field data from Japan, Svalbard and Antarctica. Permafrost and Periglacial Processes, 2(4), 271–281. https://doi.org/10.1002/ppp.3430020403