Seismic monitoring of torrential and fluvial processes
In seismology, the signal is usually analysed for earthquake data, but earthquakes represent less than 1 % of continuous recording. The remaining data are considered as seismic noise and were for a long time ignored. Over the past decades, the analysis of seismic noise has constantly increased in po...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-04-01
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| Series: | Earth Surface Dynamics |
| Online Access: | http://www.earth-surf-dynam.net/4/285/2016/esurf-4-285-2016.pdf |
| _version_ | 1811221231617179648 |
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| author | A. Burtin N. Hovius J. M. Turowski |
| author_facet | A. Burtin N. Hovius J. M. Turowski |
| author_sort | A. Burtin |
| collection | DOAJ |
| description | In seismology, the signal is usually analysed for earthquake data, but
earthquakes represent less than 1 % of continuous recording. The remaining
data are considered as seismic noise and were for a long time ignored. Over
the past decades, the analysis of seismic noise has constantly increased in
popularity, and this has led to the development of new approaches and
applications in geophysics. The study of continuous seismic records is now
open to other disciplines, like geomorphology. The motion of mass at the
Earth's surface generates seismic waves that are recorded by nearby
seismometers and can be used to monitor mass transfer throughout the
landscape. Surface processes vary in nature, mechanism, magnitude, space and
time, and this variability can be observed in the seismic signals. This
contribution gives an overview of the development and current opportunities
for the seismic monitoring of geomorphic processes. We first describe the
common principles of seismic signal monitoring and introduce time–frequency
analysis for the purpose of identification and differentiation of surface
processes. Second, we present techniques to detect, locate and quantify
geomorphic events. Third, we review the diverse layout of seismic arrays and
highlight their advantages and limitations for specific processes, like
slope or channel activity. Finally, we illustrate all these characteristics
with the analysis of seismic data acquired in a small debris-flow catchment
where geomorphic events show interactions and feedbacks. Further
developments must aim to fully understand the richness of the continuous
seismic signals, to better quantify the geomorphic activity and to improve the
performance of warning systems. Seismic monitoring may ultimately allow the
continuous survey of erosion and transfer of sediments in the landscape on
the scales of external forcing. |
| first_indexed | 2024-04-12T07:55:51Z |
| format | Article |
| id | doaj.art-8ffc44aabc0e464f8f3edb86f7df6cc1 |
| institution | Directory Open Access Journal |
| issn | 2196-6311 2196-632X |
| language | English |
| last_indexed | 2024-04-12T07:55:51Z |
| publishDate | 2016-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth Surface Dynamics |
| spelling | doaj.art-8ffc44aabc0e464f8f3edb86f7df6cc12022-12-22T03:41:30ZengCopernicus PublicationsEarth Surface Dynamics2196-63112196-632X2016-04-014228530710.5194/esurf-4-285-2016Seismic monitoring of torrential and fluvial processesA. Burtin0N. Hovius1J. M. Turowski2GeoForschungsZentrum, Helmholtz Centre Potsdam, Potsdam, GermanyGeoForschungsZentrum, Helmholtz Centre Potsdam, Potsdam, GermanyGeoForschungsZentrum, Helmholtz Centre Potsdam, Potsdam, GermanyIn seismology, the signal is usually analysed for earthquake data, but earthquakes represent less than 1 % of continuous recording. The remaining data are considered as seismic noise and were for a long time ignored. Over the past decades, the analysis of seismic noise has constantly increased in popularity, and this has led to the development of new approaches and applications in geophysics. The study of continuous seismic records is now open to other disciplines, like geomorphology. The motion of mass at the Earth's surface generates seismic waves that are recorded by nearby seismometers and can be used to monitor mass transfer throughout the landscape. Surface processes vary in nature, mechanism, magnitude, space and time, and this variability can be observed in the seismic signals. This contribution gives an overview of the development and current opportunities for the seismic monitoring of geomorphic processes. We first describe the common principles of seismic signal monitoring and introduce time–frequency analysis for the purpose of identification and differentiation of surface processes. Second, we present techniques to detect, locate and quantify geomorphic events. Third, we review the diverse layout of seismic arrays and highlight their advantages and limitations for specific processes, like slope or channel activity. Finally, we illustrate all these characteristics with the analysis of seismic data acquired in a small debris-flow catchment where geomorphic events show interactions and feedbacks. Further developments must aim to fully understand the richness of the continuous seismic signals, to better quantify the geomorphic activity and to improve the performance of warning systems. Seismic monitoring may ultimately allow the continuous survey of erosion and transfer of sediments in the landscape on the scales of external forcing.http://www.earth-surf-dynam.net/4/285/2016/esurf-4-285-2016.pdf |
| spellingShingle | A. Burtin N. Hovius J. M. Turowski Seismic monitoring of torrential and fluvial processes Earth Surface Dynamics |
| title | Seismic monitoring of torrential and fluvial processes |
| title_full | Seismic monitoring of torrential and fluvial processes |
| title_fullStr | Seismic monitoring of torrential and fluvial processes |
| title_full_unstemmed | Seismic monitoring of torrential and fluvial processes |
| title_short | Seismic monitoring of torrential and fluvial processes |
| title_sort | seismic monitoring of torrential and fluvial processes |
| url | http://www.earth-surf-dynam.net/4/285/2016/esurf-4-285-2016.pdf |
| work_keys_str_mv | AT aburtin seismicmonitoringoftorrentialandfluvialprocesses AT nhovius seismicmonitoringoftorrentialandfluvialprocesses AT jmturowski seismicmonitoringoftorrentialandfluvialprocesses |