研究課題/領域番号 |
22K03742
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研究種目 |
基盤研究(C)
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配分区分 | 基金 |
応募区分 | 一般 |
審査区分 |
小区分17030:地球人間圏科学関連
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研究機関 | 国立研究開発法人防災科学技術研究所 |
研究代表者 |
P.C. Shakti 国立研究開発法人防災科学技術研究所, 水・土砂防災研究部門, 主任専門研究員 (60863553)
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研究分担者 |
澤崎 郁 国立研究開発法人防災科学技術研究所, 地震津波火山ネットワークセンター, 主任専門研究員 (30707170)
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研究期間 (年度) |
2022-04-01 – 2025-03-31
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研究課題ステータス |
交付 (2023年度)
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配分額 *注記 |
4,160千円 (直接経費: 3,200千円、間接経費: 960千円)
2024年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2023年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2022年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
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キーワード | River discharge / Noise data / Hi-net / Flow estimation / Flood events / Hydrological simulation / River basins / Flood risk / Seismic noise / hydrological station / Flood risk management / Discharge prediction |
研究開始時の研究の概要 |
Several mountainous river basins in Japan do not have a consistent hydrological record. On the other hand, there are a number of available seismic stations in these mountainous regions. They can detect seismic noise excited by the nearby river flow and it is understood that the noise power has a high correlation with discharge. In this research, we aim to establish a method to predict the flow rate using seismic noise data distributed in mountainous river basins in Japan, which will provide important information for the proper management of flood disaster events in Japan.
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研究実績の概要 |
The objective of this study is to use seismic data to estimate river discharge, particularly during floods in mountainous river basins, integrating the disciplines of Hydrology and Seismology. After reviewing Hi-net noise observations and the availability of hydrological data, we selected certain river basins for analysis. In these basins, we conducted hydrological simulations to analyze flood dynamics and investigated correlations between Hi-net noise and river flow data during flood events. Additionally, we evaluated how seismic noise data across different frequency ranges correlated with the simulated discharge data during floods. Our findings indicate that a strong correlation holds significance in mountainous regions characterized by steep riverbed slope. Furthermore, we observed that this correlation is particularly distinct within the 1-2 Hz frequency range. This phenomenon occurs because microseisms contaminate noise below 1 Hz, while noise energy above 2 Hz undergoes significant attenuation during propagation, thereby limiting its long-distance propagation. We continued our investigation into the link between seismic data and river flow, thereby expanding our understanding of these interactions. Portions of this research were presented at national and international conferences, published in journals articles/proceedings. Part of this study was also highlighted in the Science Japan magazine, published by the Japan Science and Technology Agency (JST), specifically within the section on 'International Brain Circulation and Japan's initiatives to foster it.'
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
In this study, we have analyzed observed seismic noise data (Hi-net) and simulated river discharge to reach our objectives. Discovering key insights from the analysis of these diverse data sets, each serving different purposes and disciplines, proved both challenging and fascinating. We processed Hi-net data from various stations across different river basins for historical events and conducted hydrological simulations to extract river discharge data for those events in the selected basins. We have regularly been sharing and presenting our results with national and international academic societies. We are in the time line of projects. However, publishing our all results with summarizing them may takes slightly long time depending up on the processing time of journal types. Util the date, we have not experienced any difficulties to carry on our research. Currently, we are analyzing long-term Hi-net and simulated river discharge data across various stations in several mountainous river basins. We anticipate finalizing our results later this year, as scheduled in our project timeline.
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今後の研究の推進方策 |
The objective of this study is to demonstrate how seismic data can be used to estimate river discharge, with a particular focus on flood conditions in mountainous river basins. This research is based on the interdisciplinary subjects i.e., Hydrology and Seismology. We conducted hydrological simulations of several river basins in Japan, considering various flood scenarios. A comparative analysis was performed between the simulated river discharge and nearby Hi-net data across different frequency ranges in mountainous river basins. We will continue to study the modeling and verification of the physical mechanism of seismic noise and river discharge. Based on the results we obtained in 2023 fiscal year; we are currently conducting a long-term analysis to predict river flow in mountainous river basins by correlating noise data with simulated river discharge. We aim to develop a suitable empirical relationship at some seismic stations to predict regular discharge time series. We anticipate establishing a strong correlation between Hi-net data and simulated river discharge at certain stations of mountainous river basins. Our research is progressing according to plan, and we intend to submit our research outcomes to peer-reviewed journals and present them at national/international conferences this year.
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