Using a dense seismic array to study fluvial processes in a braided river reach under flood conditions
Dense seismic array monitoring has recently allowed the detailed investigation of sources of ground vibrations and their spatiotemporal dynamics. In a context where traditional monitoring techniques for fluvial processes often do not provide data with adequate temporal and spatial resolution, the us...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2022-05-01
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Series: | LHB Hydroscience Journal |
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Online Access: | https://www.tandfonline.com/doi/10.1080/27678490.2022.2053314 |
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author | Marco Piantini Florent Gimbert Maarten Bakker Alain Recking Ugo Nanni |
author_facet | Marco Piantini Florent Gimbert Maarten Bakker Alain Recking Ugo Nanni |
author_sort | Marco Piantini |
collection | DOAJ |
description | Dense seismic array monitoring has recently allowed the detailed investigation of sources of ground vibrations and their spatiotemporal dynamics. In a context where traditional monitoring techniques for fluvial processes often do not provide data with adequate temporal and spatial resolution, the use of dense arrays could allow the identification and tracking of different sources of river-induced seismic ground vibrations (e.g. turbulence and bedload transport). Here, we study the potential of dense seismic array monitoring by investigating a high-flow event that occurred in summer 2019 along a 600-m-long braided reach of the Séveraisse River (French Alps). We use a network of 80 seismometers deployed on both river banks, and we supplement the seismic observations with flow gauging measurements and time-lapse imagery. During this event, we observe impulsive signals that are coherently detected over the array, and which we interpret as being associated with the bedload transport of clusters of coarse grains (blocks). Through phase-delay analysis we are able to locate these seismic events on the bend apex of an active branch of the reach. These results demonstrate the capability of such a method to locate bedload activity at high spatiotemporal resolution, providing crucial information for geomorphological investigations and natural risk management. |
first_indexed | 2024-12-12T03:35:43Z |
format | Article |
id | doaj.art-59e385a2207c4276b0d8714fae110cc1 |
institution | Directory Open Access Journal |
issn | 2767-8490 |
language | English |
last_indexed | 2024-12-12T03:35:43Z |
publishDate | 2022-05-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | LHB Hydroscience Journal |
spelling | doaj.art-59e385a2207c4276b0d8714fae110cc12022-12-22T00:39:49ZengTaylor & Francis GroupLHB Hydroscience Journal2767-84902022-05-0110.1080/27678490.2022.2053314Using a dense seismic array to study fluvial processes in a braided river reach under flood conditionsMarco Piantini0Florent Gimbert1Maarten Bakker2Alain Recking3Ugo Nanni4CNRS, IRD, Institute for Geosciences and Environmental Research (IGE), University Grenoble Alpes, Grenoble, FranceCNRS, IRD, Institute for Geosciences and Environmental Research (IGE), University Grenoble Alpes, Grenoble, FranceCNRS, IRD, Institute for Geosciences and Environmental Research (IGE), University Grenoble Alpes, Grenoble, FranceINRAE, ETNA, University Grenoble Alpes, Grenoble, FranceDepartment of Geosciences, University of Oslo, Oslo, NorwayDense seismic array monitoring has recently allowed the detailed investigation of sources of ground vibrations and their spatiotemporal dynamics. In a context where traditional monitoring techniques for fluvial processes often do not provide data with adequate temporal and spatial resolution, the use of dense arrays could allow the identification and tracking of different sources of river-induced seismic ground vibrations (e.g. turbulence and bedload transport). Here, we study the potential of dense seismic array monitoring by investigating a high-flow event that occurred in summer 2019 along a 600-m-long braided reach of the Séveraisse River (French Alps). We use a network of 80 seismometers deployed on both river banks, and we supplement the seismic observations with flow gauging measurements and time-lapse imagery. During this event, we observe impulsive signals that are coherently detected over the array, and which we interpret as being associated with the bedload transport of clusters of coarse grains (blocks). Through phase-delay analysis we are able to locate these seismic events on the bend apex of an active branch of the reach. These results demonstrate the capability of such a method to locate bedload activity at high spatiotemporal resolution, providing crucial information for geomorphological investigations and natural risk management.https://www.tandfonline.com/doi/10.1080/27678490.2022.2053314Fluvial seismologydense seismic array monitoringbraided riversbedload transportSismologie fluviale reseau sismique dense |
spellingShingle | Marco Piantini Florent Gimbert Maarten Bakker Alain Recking Ugo Nanni Using a dense seismic array to study fluvial processes in a braided river reach under flood conditions LHB Hydroscience Journal Fluvial seismology dense seismic array monitoring braided rivers bedload transport Sismologie fluviale reseau sismique dense |
title | Using a dense seismic array to study fluvial processes in a braided river reach under flood conditions |
title_full | Using a dense seismic array to study fluvial processes in a braided river reach under flood conditions |
title_fullStr | Using a dense seismic array to study fluvial processes in a braided river reach under flood conditions |
title_full_unstemmed | Using a dense seismic array to study fluvial processes in a braided river reach under flood conditions |
title_short | Using a dense seismic array to study fluvial processes in a braided river reach under flood conditions |
title_sort | using a dense seismic array to study fluvial processes in a braided river reach under flood conditions |
topic | Fluvial seismology dense seismic array monitoring braided rivers bedload transport Sismologie fluviale reseau sismique dense |
url | https://www.tandfonline.com/doi/10.1080/27678490.2022.2053314 |
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