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

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 f...

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Autores principales:	Shakti P.C., Kaoru Sawazaki
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Discharge Seismic noise Hi-net Hydrological simulation Ungauged river basin Heavy rain event Geography. Anthropology. Recreation G Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/d531f5eb5fb447098af03fa2861cbe7d
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spelling	oai:doaj.org-article:d531f5eb5fb447098af03fa2861cbe7d2021-11-07T12:17:21ZRiver discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data10.1186/s40645-021-00448-12197-4284https://doaj.org/article/d531f5eb5fb447098af03fa2861cbe7d2021-11-01T00:00:00Zhttps://doi.org/10.1186/s40645-021-00448-1https://doaj.org/toc/2197-4284Abstract 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).Shakti P.C.Kaoru SawazakiSpringerOpenarticleDischargeSeismic noiseHi-netHydrological simulationUngauged river basinHeavy rain eventGeography. Anthropology. RecreationGGeologyQE1-996.5ENProgress in Earth and Planetary Science, Vol 8, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Discharge Seismic noise Hi-net Hydrological simulation Ungauged river basin Heavy rain event Geography. Anthropology. Recreation G Geology QE1-996.5
spellingShingle	Discharge Seismic noise Hi-net Hydrological simulation Ungauged river basin Heavy rain event Geography. Anthropology. Recreation G Geology QE1-996.5 Shakti P.C. Kaoru Sawazaki River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
description	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).
format	article
author	Shakti P.C. Kaoru Sawazaki
author_facet	Shakti P.C. Kaoru Sawazaki
author_sort	Shakti P.C.
title	River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
title_short	River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
title_full	River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
title_fullStr	River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
title_full_unstemmed	River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
title_sort	river discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/d531f5eb5fb447098af03fa2861cbe7d
work_keys_str_mv	AT shaktipc riverdischargepredictionforungaugedmountainousriverbasinsduringheavyraineventsbasedonseismicnoisedata AT kaorusawazaki riverdischargepredictionforungaugedmountainousriverbasinsduringheavyraineventsbasedonseismicnoisedata
_version_	1718443517951344640

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

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