PreprintArticleVersion 2Preserved in Portico This version is not peer-reviewed
Seismic Signatures and Site Characterization of an Intermittent Stream in Dry and Flood Conditions: An Implication for Soil Losses and Landslide Triggering
Version 1
: Received: 27 September 2022 / Approved: 28 September 2022 / Online: 28 September 2022 (15:49:50 CEST)
Version 2
: Received: 15 November 2022 / Approved: 16 November 2022 / Online: 16 November 2022 (02:35:38 CET)
Hussain, Y.; Seivane, H.; Gao, Q.; Maciel, S.; Hamza, O.; Uagoda, R.; Borges, W. Seismic Signatures and Site Characterization of an Intermittent Stream in Dry and Flood Conditions: An Implication for Soil Losses and Landslide Triggering. Environmental Earth Sciences 2023, 82, doi:10.1007/s12665-023-10960-w.
Hussain, Y.; Seivane, H.; Gao, Q.; Maciel, S.; Hamza, O.; Uagoda, R.; Borges, W. Seismic Signatures and Site Characterization of an Intermittent Stream in Dry and Flood Conditions: An Implication for Soil Losses and Landslide Triggering. Environmental Earth Sciences 2023, 82, doi:10.1007/s12665-023-10960-w.
Hussain, Y.; Seivane, H.; Gao, Q.; Maciel, S.; Hamza, O.; Uagoda, R.; Borges, W. Seismic Signatures and Site Characterization of an Intermittent Stream in Dry and Flood Conditions: An Implication for Soil Losses and Landslide Triggering. Environmental Earth Sciences 2023, 82, doi:10.1007/s12665-023-10960-w.
Hussain, Y.; Seivane, H.; Gao, Q.; Maciel, S.; Hamza, O.; Uagoda, R.; Borges, W. Seismic Signatures and Site Characterization of an Intermittent Stream in Dry and Flood Conditions: An Implication for Soil Losses and Landslide Triggering. Environmental Earth Sciences 2023, 82, doi:10.1007/s12665-023-10960-w.
Abstract
Identifying ambient noise-based (ANb) signatures of streams can help in the estimation of their erosive potential (EP) that promotes reverie landslides and soil losses in the fluvial valleys. This is particularly imperative on flooding or rainy days, leading to stronger erosion-prone conditions (colluvium and boulders) of the valley beds inferred from georadar attribute analysis. Developing such research direction can benefit the local communities, as is the case with the Cerrado region of Brazil, where these phenomena have high destructive potential with social, economic, and climatic implications. For the present study, a seasonal stream in the Federal District of Brazil was investigated by ANb monitoring supported by Ground Penetration Radar (GPR) for site characterization. The ANb monitoring was conducted (at a safe distance) with a seismometer over several durations of dry and rainy conditions. The power spectral density (PSDs) was computed as a function of several variables, including weather conditions (rainfall, wind speed, and pressure), time-frequency spectrograms, and ambient noise displacement root mean square (RMS). This analysis also considered the single station horizontal-to-vertical spectral ratio (HVSR), where rain, wind, pressure, river flow and anthropogenic signatures were evident (at selective frequency ranges). Multi-peaks that emerged on the HVSR curve were further analyzed to identify amplitude and frequency changes, and the three peaks shift on average to a lower position during the rainy period. The GPR amplitude and waveform variation features were attributed to the stratigraphy (i.e., the boundary between valid and invalid regions and coherence value) of the floodplain and regions susceptible to erosion (erosion-prone lithological spots). This approach provides the basis for non-destructive monitoring tools enabling the detection of 'seismic signatures' and weak spots of the fluvial channels for improving environmental management.
Environmental and Earth Sciences, Geophysics and Geology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Yawar Hussain
Commenter's Conflict of Interests: Author