[M-GI31] Earth and planetary informatics and data utilization

[MGI31-P11] An attempt to analyze the impact of Solar flares on terrestrial disasters utilized by open data

*Keiko Sato^1,3, Hidenori Kumagai^2,3 (1.Sakura no Seibo Junior College, 2.Gakushuin Women’s College, 3.Japan Agency for Marine Earth Science and Technology (JAMSTEC))

Keywords:Sunspots, ground radiation, terrestrial disaster, 11-years solar activity cycle

Solar flares, which are explosions caused by the reversal of a strong magnetic field, are a common type of solar activity and occur on the surface of the sun, releasing electromagnetic waves, high-energy particles, X-rays, gamma rays, and radiation. The solar activity cycle refers to cyclic changes in solar activity, with periodic changes in the number of sunspots and the size and frequency of solar flares. The number of sunspots observed in June 2023 recorded 163 sunspots, and the number of sunspots This is the highest number of sunspots in the past 20 years, suggesting that we are approaching the solar maximum, the most intense period of solar activity in the solar activity cycle, which changes every 11 years. Strong solar flares can affect not only the Earth's ionosphere but also the magnetic field of interplanetary space, where high-energy particles and radiation (e.g. NICT, 2022).
The solar activity, which has an 11-year cycle, will reach its maximum in 2025-2026, thus, space weather forecasts have been issued by NICT. In June 2023, 163 sunspots, the largest number since September 2022, were recorded. After an increase in solar activity from December 2023 to January 2024, the Noto Peninsula earthquake (2024) followed. Toward the solar maximum period, there are concerns about electromagnetic electrification effects and causal effects on fluids in the crust after reaching the ground. Despite the current situation of frequent complex disasters, few countermeasures have been taken at the local level. We will attempt to accumulate and analyze data on the correlation between aurora observations and solar activity for disaster mitigation by utilizing SNS and other means.
Therefore, we will try to accumulate and analyze data on the correlation between aurora observations and solar activity for disaster mitigation using SNS, etc. by incorporating Citizen Science, which has been active in recent years, and analyzing the data based on Google Trends.