Scholarlink

<p>Typhoon and earthquake are natural disasters that have the potential to damage infrastructure and cause casualties, showing the need for further mitigation studies. These natural disasters often cause ionospheric disturbance that can be observed through changes in TEC values using GNSS technology. Therefore, this study aims to measure the mechanism of ionospheric disturbance due to Typhoon Seroja 2021, Typhoon Koinu 2023, and the 2024 M7.5 Japanese earthquake using GNSS-TEC and 3D tomography methods. The analysis was carried out with physical parameters in the form of TEC values, wave propagation speed, frequency spectrum, and spatial–temporal changes from the results of the 3D tomography model. The results showed that earthquake and typhoon caused ionospheric disturbance known as Coseismic Ionospheric Disturbance (CIDs) and Concentric Traveling Ionospheric Disturbance (CTIDs). CID due to the Japanese earthquake led to a TEC change of ~ 1.199 TECU with a period of ~ 5&#xa0;min, while CTIDs due to Typhoon Seroja and Koinu caused a change of −&#xa0;0.26–0.73 TECU with a period of 18–71&#xa0;min. In addition, CIDs from earthquake are short periods but have larger amplitude than CTIDs caused by typhoons, which have a longer duration and smaller amplitude. The results of 3D tomography modeling showed differences in ionospheric disturbance patterns and heights. Ionospheric disturbance due to the Japanese earthquake are distributed around the epicenter, while those from Typhoon Seroja and Koinu are distributed in azimuth 0–150° and 180–240°, respectively, both of which followed the direction of typhoon movement. The tomographic data show that the maximum height of ionospheric disturbance due to the earthquake is higher than that of the typhoon. The results of this study have the potential to be used in the development of disaster early warning systems in the future.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Comparison of Ionospheric Disturbances Due to the 2024 Japan Earthquake, Typhoon Seroja 2021 and Koinu 2023 Using 3D Tomography

  • 期刊论文

  • 发表日期：

    2026年4月10日

查看全文
  • Dwi Sri Lestari,
  • Mokhamad Nur Cahyadi,
  • Buldan Muslim,
  • Ihsan Naufal Muafiry,
  • Nilam Komalasari,
  • Nurrohmat Widjajanti,
  • Evi Aprianti,
  • Deni Kusumawardani,
  • Candida Aulia De Silva Nusantara,
  • Yessi Rahmawati,
  • Zambri Harun,
  • Siti Asmayanti Tuasamu

摘要

Typhoon and earthquake are natural disasters that have the potential to damage infrastructure and cause casualties, showing the need for further mitigation studies. These natural disasters often cause ionospheric disturbance that can be observed through changes in TEC values using GNSS technology. Therefore, this study aims to measure the mechanism of ionospheric disturbance due to Typhoon Seroja 2021, Typhoon Koinu 2023, and the 2024 M7.5 Japanese earthquake using GNSS-TEC and 3D tomography methods. The analysis was carried out with physical parameters in the form of TEC values, wave propagation speed, frequency spectrum, and spatial–temporal changes from the results of the 3D tomography model. The results showed that earthquake and typhoon caused ionospheric disturbance known as Coseismic Ionospheric Disturbance (CIDs) and Concentric Traveling Ionospheric Disturbance (CTIDs). CID due to the Japanese earthquake led to a TEC change of ~ 1.199 TECU with a period of ~ 5 min, while CTIDs due to Typhoon Seroja and Koinu caused a change of − 0.26–0.73 TECU with a period of 18–71 min. In addition, CIDs from earthquake are short periods but have larger amplitude than CTIDs caused by typhoons, which have a longer duration and smaller amplitude. The results of 3D tomography modeling showed differences in ionospheric disturbance patterns and heights. Ionospheric disturbance due to the Japanese earthquake are distributed around the epicenter, while those from Typhoon Seroja and Koinu are distributed in azimuth 0–150° and 180–240°, respectively, both of which followed the direction of typhoon movement. The tomographic data show that the maximum height of ionospheric disturbance due to the earthquake is higher than that of the typhoon. The results of this study have the potential to be used in the development of disaster early warning systems in the future.