Bed load sediment transport inferred from seismic signals near a river
We examine broadband (5–480 Hz) seismic data from the Erlenbach stream in the Swiss Prealps, where discharge, precipitation, and bed load transport are independently constrained. A linear inversion of seismic spectra, exploiting isolated discharge or rain events, identifies the signals generated by...
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| Veröffentlicht in: | Journal of geophysical research. Earth surface 2016-04, Vol.121 (4), p.725-747 |
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| creator | Roth, Danica L. Brodsky, Emily E. Finnegan, Noah J. Rickenmann, Dieter Turowski, Jens M. Badoux, Alexandre |
| description | We examine broadband (5–480 Hz) seismic data from the Erlenbach stream in the Swiss Prealps, where discharge, precipitation, and bed load transport are independently constrained. A linear inversion of seismic spectra, exploiting isolated discharge or rain events, identifies the signals generated by water turbulence and rainfall. This allows us to remove the contributions of turbulence and rainfall from the seismic spectra, isolating the signal of bed load transport. We calibrate the regression for bed load transport during one storm and then use this regression with precipitation and discharge data to calculate bed load transport rates from 2 months of seismic spectra. Our predicted bed load transport rates correlate reasonably well with transport rates from calibrated geophones embedded in the channel (r2 ~ 0.6, p |
| doi_str_mv | 10.1002/2015JF003782 |
| format | Article |
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Key Points
Water turbulence, rainfall, and sediment transport generate seismic signals near rivers
Component signals are isolated through linear inversion of calibration seismic spectra
Sediment transport rates predicted using discharge, precipitation, and seismic data</description><identifier>ISSN: 2169-9003</identifier><identifier>EISSN: 2169-9011</identifier><identifier>DOI: 10.1002/2015JF003782</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Atmospheric precipitations ; Attenuation ; Bed load ; Bed-load discharge ; Broadband ; Calibration ; Data processing ; Discharge ; Fluid dynamics ; Fluid flow ; fluvial ; Fluvial sediments ; Freshwater ; Load distribution ; Precipitation ; Rain ; Rainfall ; Regression ; Rivers ; Sediment ; Sediment load ; Sediment transport ; seismic ; Seismic activity ; Seismic data ; Seismic response ; Seismic surveys ; Seismological data ; Seismology ; Seismometers ; Spectra ; Storms ; Transport ; Turbulence ; Turbulent flow ; Water ; water turbulence</subject><ispartof>Journal of geophysical research. Earth surface, 2016-04, Vol.121 (4), p.725-747</ispartof><rights>2016. The Authors.</rights><rights>2016. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5550-9644cb5108b5aa253c74c3b36d4eceb1bd81e6a2e279ac30c85f9350f5ae781c3</citedby><cites>FETCH-LOGICAL-a5550-9644cb5108b5aa253c74c3b36d4eceb1bd81e6a2e279ac30c85f9350f5ae781c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2015JF003782$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2015JF003782$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1249565$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Roth, Danica L.</creatorcontrib><creatorcontrib>Brodsky, Emily E.</creatorcontrib><creatorcontrib>Finnegan, Noah J.</creatorcontrib><creatorcontrib>Rickenmann, Dieter</creatorcontrib><creatorcontrib>Turowski, Jens M.</creatorcontrib><creatorcontrib>Badoux, Alexandre</creatorcontrib><title>Bed load sediment transport inferred from seismic signals near a river</title><title>Journal of geophysical research. Earth surface</title><description>We examine broadband (5–480 Hz) seismic data from the Erlenbach stream in the Swiss Prealps, where discharge, precipitation, and bed load transport are independently constrained. A linear inversion of seismic spectra, exploiting isolated discharge or rain events, identifies the signals generated by water turbulence and rainfall. This allows us to remove the contributions of turbulence and rainfall from the seismic spectra, isolating the signal of bed load transport. We calibrate the regression for bed load transport during one storm and then use this regression with precipitation and discharge data to calculate bed load transport rates from 2 months of seismic spectra. Our predicted bed load transport rates correlate reasonably well with transport rates from calibrated geophones embedded in the channel (r2 ~ 0.6, p < 10−10). We find that the seismic response to rainfall is broadband (~16–480 Hz), while water turbulence and sediment transport exhibit seismic power primarily in lower frequencies (<100 Hz), likely due to longer attenuation path lengths. We use the varying attenuation at each seismometer to infer that a downstream waterfall is the primary source of the water turbulence signal. Our results indicate that deconstruction of seismic spectra from rivers can provide insight into the component signals generated by water turbulence, rainfall, and sediment transport. Further, the regression of seismic spectra with precipitation, discharge, and bed load transport data for a single calibration period enables the estimation of transport for subsequent periods with only precipitation, discharge, and seismic data. Hence, in combination with precipitation and discharge data, seismic data can be used to monitor bed load sediment transport.
Key Points
Water turbulence, rainfall, and sediment transport generate seismic signals near rivers
Component signals are isolated through linear inversion of calibration seismic spectra
Sediment transport rates predicted using discharge, precipitation, and seismic data</description><subject>Atmospheric precipitations</subject><subject>Attenuation</subject><subject>Bed load</subject><subject>Bed-load discharge</subject><subject>Broadband</subject><subject>Calibration</subject><subject>Data processing</subject><subject>Discharge</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>fluvial</subject><subject>Fluvial sediments</subject><subject>Freshwater</subject><subject>Load distribution</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Regression</subject><subject>Rivers</subject><subject>Sediment</subject><subject>Sediment load</subject><subject>Sediment transport</subject><subject>seismic</subject><subject>Seismic activity</subject><subject>Seismic data</subject><subject>Seismic response</subject><subject>Seismic surveys</subject><subject>Seismological data</subject><subject>Seismology</subject><subject>Seismometers</subject><subject>Spectra</subject><subject>Storms</subject><subject>Transport</subject><subject>Turbulence</subject><subject>Turbulent flow</subject><subject>Water</subject><subject>water turbulence</subject><issn>2169-9003</issn><issn>2169-9011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqN0c1q20AQAGBRWmhIfOsDiObSQ53M7J9WxzTUTowhUNrzslqNmg2S1tmVE_z2XeNQQg4mc5lh-BiYmaL4gnCBAOySAcrVAoBXmn0oThiqel4D4sf_NfDPxSylB8ihcwvZSbH4QW3ZB9uWiVo_0DiVU7Rj2oQ4lX7sKMYMuhiGDHwavCuT_zvaPpUj2VjaMvonimfFpy73aPaST4s_i5-_r2_m67vl7fXVem6llDCvlRCukQi6kdYyyV0lHG-4agU5arBpNZKyjFhVW8fBadnVXEInLVUaHT8tvh7mhjR5k5yfyN27MI7kJoNM1FLJjL4d0CaGxy2lyQw-Oep7O1LYJoN5eeAKFL6DguYqn67O9PwNfQjbuL9EVrUEgSjlUVVpDUJpIbL6flAuhpQidWYT_WDjziCY_TfN629mzg_82fe0O2rNavlrwUBy4P8AEXuchQ</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Roth, Danica L.</creator><creator>Brodsky, Emily E.</creator><creator>Finnegan, Noah J.</creator><creator>Rickenmann, Dieter</creator><creator>Turowski, Jens M.</creator><creator>Badoux, Alexandre</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><scope>7SM</scope><scope>OTOTI</scope></search><sort><creationdate>201604</creationdate><title>Bed load sediment transport inferred from seismic signals near a river</title><author>Roth, Danica L. ; Brodsky, Emily E. ; Finnegan, Noah J. ; Rickenmann, Dieter ; Turowski, Jens M. ; Badoux, Alexandre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5550-9644cb5108b5aa253c74c3b36d4eceb1bd81e6a2e279ac30c85f9350f5ae781c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Atmospheric precipitations</topic><topic>Attenuation</topic><topic>Bed load</topic><topic>Bed-load discharge</topic><topic>Broadband</topic><topic>Calibration</topic><topic>Data processing</topic><topic>Discharge</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>fluvial</topic><topic>Fluvial sediments</topic><topic>Freshwater</topic><topic>Load distribution</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Regression</topic><topic>Rivers</topic><topic>Sediment</topic><topic>Sediment load</topic><topic>Sediment transport</topic><topic>seismic</topic><topic>Seismic activity</topic><topic>Seismic data</topic><topic>Seismic response</topic><topic>Seismic surveys</topic><topic>Seismological data</topic><topic>Seismology</topic><topic>Seismometers</topic><topic>Spectra</topic><topic>Storms</topic><topic>Transport</topic><topic>Turbulence</topic><topic>Turbulent flow</topic><topic>Water</topic><topic>water turbulence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roth, Danica L.</creatorcontrib><creatorcontrib>Brodsky, Emily E.</creatorcontrib><creatorcontrib>Finnegan, Noah J.</creatorcontrib><creatorcontrib>Rickenmann, Dieter</creatorcontrib><creatorcontrib>Turowski, Jens M.</creatorcontrib><creatorcontrib>Badoux, Alexandre</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>Earthquake Engineering Abstracts</collection><collection>OSTI.GOV</collection><jtitle>Journal of geophysical research. Earth surface</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roth, Danica L.</au><au>Brodsky, Emily E.</au><au>Finnegan, Noah J.</au><au>Rickenmann, Dieter</au><au>Turowski, Jens M.</au><au>Badoux, Alexandre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bed load sediment transport inferred from seismic signals near a river</atitle><jtitle>Journal of geophysical research. Earth surface</jtitle><date>2016-04</date><risdate>2016</risdate><volume>121</volume><issue>4</issue><spage>725</spage><epage>747</epage><pages>725-747</pages><issn>2169-9003</issn><eissn>2169-9011</eissn><abstract>We examine broadband (5–480 Hz) seismic data from the Erlenbach stream in the Swiss Prealps, where discharge, precipitation, and bed load transport are independently constrained. A linear inversion of seismic spectra, exploiting isolated discharge or rain events, identifies the signals generated by water turbulence and rainfall. This allows us to remove the contributions of turbulence and rainfall from the seismic spectra, isolating the signal of bed load transport. We calibrate the regression for bed load transport during one storm and then use this regression with precipitation and discharge data to calculate bed load transport rates from 2 months of seismic spectra. Our predicted bed load transport rates correlate reasonably well with transport rates from calibrated geophones embedded in the channel (r2 ~ 0.6, p < 10−10). We find that the seismic response to rainfall is broadband (~16–480 Hz), while water turbulence and sediment transport exhibit seismic power primarily in lower frequencies (<100 Hz), likely due to longer attenuation path lengths. We use the varying attenuation at each seismometer to infer that a downstream waterfall is the primary source of the water turbulence signal. Our results indicate that deconstruction of seismic spectra from rivers can provide insight into the component signals generated by water turbulence, rainfall, and sediment transport. Further, the regression of seismic spectra with precipitation, discharge, and bed load transport data for a single calibration period enables the estimation of transport for subsequent periods with only precipitation, discharge, and seismic data. Hence, in combination with precipitation and discharge data, seismic data can be used to monitor bed load sediment transport.
Key Points
Water turbulence, rainfall, and sediment transport generate seismic signals near rivers
Component signals are isolated through linear inversion of calibration seismic spectra
Sediment transport rates predicted using discharge, precipitation, and seismic data</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/2015JF003782</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 2169-9003 |
| ispartof | Journal of geophysical research. Earth surface, 2016-04, Vol.121 (4), p.725-747 |
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| source | Wiley Online Library AGU Free Content; Wiley Online Library All Journals; Wiley Online Library (Open Access Collection) |
| subjects | Atmospheric precipitations Attenuation Bed load Bed-load discharge Broadband Calibration Data processing Discharge Fluid dynamics Fluid flow fluvial Fluvial sediments Freshwater Load distribution Precipitation Rain Rainfall Regression Rivers Sediment Sediment load Sediment transport seismic Seismic activity Seismic data Seismic response Seismic surveys Seismological data Seismology Seismometers Spectra Storms Transport Turbulence Turbulent flow Water water turbulence |
| title | Bed load sediment transport inferred from seismic signals near a river |
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