A physical model for mean river discharge calculation: from riverside seismic monitoring experiments in a low-flow river, China Article Swipe
Xiaoyue Zhou
,
Liang Feng
,
Shizhe Zhang
,
Bin Xie
,
Yanmei Wang
,
Wei Xu
,
Emanuele Intrieri
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2024-4111
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2024-4111
The dynamics of water flow and sediment transport in river systems play a crucial role in shaping river morphology, in the planning and use of river infrastructure and the broader watershed management. However, these characteristics are often challenging to measure comprehensively. On March 17, 2023, we studied a low-flow river system (≤0.611 m³/s) within the boundaries of Yuancun in the Township of Meishui. By synchronously monitoring the microseismic signals generated by the river and the river flow velocity, we explored the relationship between these microseismic signals and the river discharge. During each experiment, we used 3 to 4 three-component seismometers placed in close proximity to the riverbank (at the distance of approximately 1 meter), with one device submerged underwater to record the microseismic signals caused by the flow. The signals exhibited a wide frequency range (2–50 Hz). An analysis of the recorded microseismic signals and the flow data revealed an approximate linear relationship between the seismic noise in the 2–10 Hz bandwidth and the river flow. We used a least squares regression model to invert the river flow from the 2–10 Hz microseismic signals and found that the maximum relative error between the inverted flow and the measured values was 10.3 %. The results show that even at low flow rates, real-time monitoring of river processes is possible through continuous time-frequency analysis of microseismic signals; this increases the potential for future applications of seismic monitoring in real-time observation of hydrological evolution in river systems.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-2024-4111
- OA Status
- gold
- Related Works
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- OpenAlex ID
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https://openalex.org/W4406698636Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/egusphere-2024-4111Digital Object Identifier
- Title
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A physical model for mean river discharge calculation: from riverside seismic monitoring experiments in a low-flow river, ChinaWork title
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preprintOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-22Full publication date if available
- Authors
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Xiaoyue Zhou, Liang Feng, Shizhe Zhang, Bin Xie, Yanmei Wang, Wei Xu, Emanuele IntrieriList of authors in order
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https://doi.org/10.5194/egusphere-2024-4111Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.5194/egusphere-2024-4111Direct OA link when available
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China, Hydrology (agriculture), Geology, Flow (mathematics), Environmental science, Discharge, Physical modelling, Geotechnical engineering, Geography, Mechanics, Drainage basin, Archaeology, Physics, CartographyTop concepts (fields/topics) attached by OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.approximately | 112 |
| abstract_inverted_index.synchronously | 65 |
| abstract_inverted_index.infrastructure | 27 |
| abstract_inverted_index.time-frequency | 221 |
| abstract_inverted_index.characteristics | 35 |
| abstract_inverted_index.three-component | 99 |
| abstract_inverted_index.comprehensively. | 41 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.01828552 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |