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  1. 防災科研関係論文

River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data

https://nied-repo.bosai.go.jp/records/3131
https://nied-repo.bosai.go.jp/records/3131
91936dc1-1fe3-4397-a4a3-e71be1ebbcb7
Item type researchmap(1)
公開日 2023-04-27
タイトル
言語 en
タイトル River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
言語
言語 eng
著者 P.C. Shakti

× P.C. Shakti

en P.C. Shakti

Search repository
Sawazaki Kaoru

× Sawazaki Kaoru

en Sawazaki Kaoru

Search repository
抄録
内容記述タイプ Other
内容記述 Abstract

Several mountainous river basins in Japan do not have a consistent hydrological record due to their complex environment and remoteness, as discharge measurements are not economically feasible. However, understanding the flow rate of rivers during extreme events is essential for preventing flood disasters around river basins. In this study, we used the high-sensitivity seismograph network (Hi-net) of Japan to identify the time and peak discharge of heavy rain events. Hi-net seismograph stations are distributed almost uniformly at distance intervals of approximately 20 km, while being available even in mountainous regions. The Mogami River Basin in Northeastern Japan was selected as a target area to compare the seismic noise data of two Hi-net stations with the hydrological response of a nearby river. These stations are not located near hydrological stations; therefore, direct comparison of seismic noise and observed discharge was not possible. Therefore, discharge data simulated using a hydrological model were first validated with gauging station data for two previous rain events (10–23 July 2004 and 7–16 September 2015). Then, the simulated river discharge was compared with Hi-net seismic noise data for three recent events (10–23 July 2004, 7–16 September 2015, and 10–15 October 2019). The seismic noise data exhibited a similar trend to the time series of simulated discharge in a frequency range of 1–2 Hz for the selected events. Discharge values predicted from the noise data effectively replicate the simulated discharge values in many cases, especially the timing and amount of peak discharge.

Simulated and predicted discharge near NIED Hi-net seismic stations in the Mogami River Basin for the event of October 2019 (Typhoon Hagibis).
言語 en
書誌情報 en : Progress in Earth and Planetary Science

巻 8, 号 1, 発行日 2021-12
出版者
言語 en
出版者 Springer Science and Business Media LLC
ISSN
収録物識別子タイプ EISSN
収録物識別子 2197-4284
DOI
関連識別子 10.1186/s40645-021-00448-1
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