Insights Into Permafrost and Seasonal Active‐Layer Dynamics From Ambient Seismic Noise Monitoring
Widespread permafrost thaw in response to changing climate conditions has the potential to dramatically impact ecosystems, infrastructure, and the global carbon budget. Ambient seismic noise techniques allow passive subsurface monitoring that could provide new insights into permafrost vulnerability...
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Veröffentlicht in: | Journal of geophysical research. Earth surface 2019-07, Vol.124 (7), p.1798-1816 |
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description | Widespread permafrost thaw in response to changing climate conditions has the potential to dramatically impact ecosystems, infrastructure, and the global carbon budget. Ambient seismic noise techniques allow passive subsurface monitoring that could provide new insights into permafrost vulnerability and active‐layer processes. Using nearly 2 years of continuous seismic data recorded near Fairbanks, Alaska, we measured relative velocity variations that showed a clear seasonal cycle reflecting active‐layer freeze and thaw. Relative to January 2014, velocities increased up to 3% through late spring, decreased to −8% by late August, and then gradually returned to the initial values by the following winter. Velocities responded rapidly (over ~2 to 7 days) to discrete hydrologic events and temperature forcing and indicated that spring snowmelt and infiltration events from summer rainfall were particularly influential in propagating thaw across the site. Velocity increases during the fall zero‐curtain captured the refreezing process and incremental ice formation. Looking across multiple frequency bands (3–30 Hz), negative relative velocities began at higher frequencies earlier in the summer and then shifted lower when active‐layer thaw deepened, suggesting a potential relationship between frequency and thaw depth; however, this response was dependent on interstation distance. Bayesian tomography returned 2‐D time‐lapse images identifying zones of greatest velocity reduction concentrated in the western side of the array, providing insight into the spatial variability of thaw progression, soil moisture, and drainage. This study demonstrates the potential of passive seismic monitoring as a new tool for studying site‐scale active‐layer and permafrost thaw processes at high temporal and spatial resolution.
Plain Language Summary
Seismic vibrations in the ground generated by background sources of noise (vehicle traffic, wind, ocean waves, etc.) occur continuously and provide a way to monitor environmental changes with time. We used 2 years of noise data to study belowground changes in Alaska, where the upper layer of soil freezes and thaws seasonally and deeper soil (permafrost) remains frozen year‐round. Warming temperatures may alter the depth of thaw each summer and degrade permafrost, which could significantly impact ecosystems and infrastructure. Our results show a clear seasonal pattern corresponding with the timing of soil freeze/thaw. Vibrations traveled at the |
doi_str_mv | 10.1029/2019JF005051 |
format | Article |
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Plain Language Summary
Seismic vibrations in the ground generated by background sources of noise (vehicle traffic, wind, ocean waves, etc.) occur continuously and provide a way to monitor environmental changes with time. We used 2 years of noise data to study belowground changes in Alaska, where the upper layer of soil freezes and thaws seasonally and deeper soil (permafrost) remains frozen year‐round. Warming temperatures may alter the depth of thaw each summer and degrade permafrost, which could significantly impact ecosystems and infrastructure. Our results show a clear seasonal pattern corresponding with the timing of soil freeze/thaw. Vibrations traveled at the fastest speeds during early spring, indicating frozen soil with ice. Speeds became slower following snowmelt and warmer temperatures in late spring and early summer. Strong decreases in seismic‐wave speeds corresponded with heavy rains and warm temperatures, suggesting warm water percolating downward through the soil induced more thaw. Speeds gradually increased again through the fall during ice formation. We also mapped where soil changes occurred most strongly and thereby revealed spatial differences in thaw depth and soil moisture across the site. This work demonstrates that seismic noise measurements can be a valuable new tool for monitoring and mapping belowground changes in cold regions.
Key Points
Seismic velocity trends reveal a clear seasonal cycle with short timescale changes highlighting the importance of infiltration events
Velocity increases during the zero‐curtain time period provide a unique look into the freezing process and ice formation rates
Passive seismic monitoring shows great potential for spatiotemporal monitoring of subsurface dynamics in permafrost environments</description><identifier>ISSN: 2169-9003</identifier><identifier>EISSN: 2169-9011</identifier><identifier>DOI: 10.1029/2019JF005051</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>active layer ; ambient seismic noise ; Annual variations ; Background noise ; Bayesian analysis ; Carbon budget ; Climate change ; Climatic conditions ; Cold regions ; Depth ; Ecosystems ; Environmental changes ; Environmental impact ; Environmental monitoring ; Frequencies ; Frozen ground ; GEOSCIENCES ; Heavy rainfall ; Hydrology ; Ice ; Ice formation ; Infiltration ; Infrastructure ; Noise ; Noise monitoring ; Ocean waves ; Percolation ; Permafrost ; Probability theory ; Rain ; Rainfall ; Seasonal variation ; Seasonal variations ; Seismic activity ; Seismic data ; seismic interferometry ; Seismological data ; Snowmelt ; Soil ; Soil degradation ; Soil layers ; Soil mapping ; Soil moisture ; Soils ; Spatial discrimination ; Spatial resolution ; Spatial variability ; Spatial variations ; Spring ; Spring (season) ; Summer ; Summer rainfall ; Surface water waves ; Thaws ; Tomography ; Velocity ; velocity variations ; Vibrations ; Vulnerability ; Warm water ; Water temperature</subject><ispartof>Journal of geophysical research. Earth surface, 2019-07, Vol.124 (7), p.1798-1816</ispartof><rights>2019. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3959-c92d5d07b92cc6ffe1c36b93fdc30c1eb3bd88c9a2c8a6622944d64277e7dfa33</citedby><cites>FETCH-LOGICAL-a3959-c92d5d07b92cc6ffe1c36b93fdc30c1eb3bd88c9a2c8a6622944d64277e7dfa33</cites><orcidid>0000-0002-2041-3190 ; 0000-0002-5456-9046 ; 0000-0001-5715-253X ; 0000-0002-1635-8926 ; 0000-0001-8603-1729 ; 0000000254569046 ; 0000000220413190 ; 000000015715253X ; 0000000186031729</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2019JF005051$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2019JF005051$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1528869$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>James, S. R.</creatorcontrib><creatorcontrib>Knox, H. A.</creatorcontrib><creatorcontrib>Abbott, R. E.</creatorcontrib><creatorcontrib>Panning, M. P.</creatorcontrib><creatorcontrib>Screaton, E. J.</creatorcontrib><creatorcontrib>Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)</creatorcontrib><title>Insights Into Permafrost and Seasonal Active‐Layer Dynamics From Ambient Seismic Noise Monitoring</title><title>Journal of geophysical research. Earth surface</title><description>Widespread permafrost thaw in response to changing climate conditions has the potential to dramatically impact ecosystems, infrastructure, and the global carbon budget. Ambient seismic noise techniques allow passive subsurface monitoring that could provide new insights into permafrost vulnerability and active‐layer processes. Using nearly 2 years of continuous seismic data recorded near Fairbanks, Alaska, we measured relative velocity variations that showed a clear seasonal cycle reflecting active‐layer freeze and thaw. Relative to January 2014, velocities increased up to 3% through late spring, decreased to −8% by late August, and then gradually returned to the initial values by the following winter. Velocities responded rapidly (over ~2 to 7 days) to discrete hydrologic events and temperature forcing and indicated that spring snowmelt and infiltration events from summer rainfall were particularly influential in propagating thaw across the site. Velocity increases during the fall zero‐curtain captured the refreezing process and incremental ice formation. Looking across multiple frequency bands (3–30 Hz), negative relative velocities began at higher frequencies earlier in the summer and then shifted lower when active‐layer thaw deepened, suggesting a potential relationship between frequency and thaw depth; however, this response was dependent on interstation distance. Bayesian tomography returned 2‐D time‐lapse images identifying zones of greatest velocity reduction concentrated in the western side of the array, providing insight into the spatial variability of thaw progression, soil moisture, and drainage. This study demonstrates the potential of passive seismic monitoring as a new tool for studying site‐scale active‐layer and permafrost thaw processes at high temporal and spatial resolution.
Plain Language Summary
Seismic vibrations in the ground generated by background sources of noise (vehicle traffic, wind, ocean waves, etc.) occur continuously and provide a way to monitor environmental changes with time. We used 2 years of noise data to study belowground changes in Alaska, where the upper layer of soil freezes and thaws seasonally and deeper soil (permafrost) remains frozen year‐round. Warming temperatures may alter the depth of thaw each summer and degrade permafrost, which could significantly impact ecosystems and infrastructure. Our results show a clear seasonal pattern corresponding with the timing of soil freeze/thaw. Vibrations traveled at the fastest speeds during early spring, indicating frozen soil with ice. Speeds became slower following snowmelt and warmer temperatures in late spring and early summer. Strong decreases in seismic‐wave speeds corresponded with heavy rains and warm temperatures, suggesting warm water percolating downward through the soil induced more thaw. Speeds gradually increased again through the fall during ice formation. We also mapped where soil changes occurred most strongly and thereby revealed spatial differences in thaw depth and soil moisture across the site. This work demonstrates that seismic noise measurements can be a valuable new tool for monitoring and mapping belowground changes in cold regions.
Key Points
Seismic velocity trends reveal a clear seasonal cycle with short timescale changes highlighting the importance of infiltration events
Velocity increases during the zero‐curtain time period provide a unique look into the freezing process and ice formation rates
Passive seismic monitoring shows great potential for spatiotemporal monitoring of subsurface dynamics in permafrost environments</description><subject>active layer</subject><subject>ambient seismic noise</subject><subject>Annual variations</subject><subject>Background noise</subject><subject>Bayesian analysis</subject><subject>Carbon budget</subject><subject>Climate change</subject><subject>Climatic conditions</subject><subject>Cold regions</subject><subject>Depth</subject><subject>Ecosystems</subject><subject>Environmental changes</subject><subject>Environmental impact</subject><subject>Environmental monitoring</subject><subject>Frequencies</subject><subject>Frozen ground</subject><subject>GEOSCIENCES</subject><subject>Heavy rainfall</subject><subject>Hydrology</subject><subject>Ice</subject><subject>Ice formation</subject><subject>Infiltration</subject><subject>Infrastructure</subject><subject>Noise</subject><subject>Noise monitoring</subject><subject>Ocean waves</subject><subject>Percolation</subject><subject>Permafrost</subject><subject>Probability theory</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Seasonal variation</subject><subject>Seasonal variations</subject><subject>Seismic activity</subject><subject>Seismic data</subject><subject>seismic interferometry</subject><subject>Seismological data</subject><subject>Snowmelt</subject><subject>Soil</subject><subject>Soil degradation</subject><subject>Soil layers</subject><subject>Soil mapping</subject><subject>Soil moisture</subject><subject>Soils</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Spatial variability</subject><subject>Spatial variations</subject><subject>Spring</subject><subject>Spring (season)</subject><subject>Summer</subject><subject>Summer rainfall</subject><subject>Surface water waves</subject><subject>Thaws</subject><subject>Tomography</subject><subject>Velocity</subject><subject>velocity variations</subject><subject>Vibrations</subject><subject>Vulnerability</subject><subject>Warm water</subject><subject>Water temperature</subject><issn>2169-9003</issn><issn>2169-9011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kNtKAzEQhoMoWGrvfICgt1Zz6B5yWapbW-oBD9chm822Kd2kJqmydz6Cz-iTGFkRrxwGZvj5GP75ATjG6Bwjwi4IwmxeIJSgBO-BHsEpGzKE8f7vjughGHi_RrHyKGHSA3JmvF6ugoczEyy8V64RtbM-QGEq-KiEt0Zs4FgG_ao-3z8WolUOXrZGNFp6WDjbwHFTamVCpLWPKry12it4Y40O1mmzPAIHtdh4NfiZffBcXD1NroeLu-lsMl4MBWUJG0pGqqRCWcmIlGldKyxpWjJaV5IiiVVJyyrPJRNE5iJNCWGjUZWOSJaprKoFpX1w0t2N9jX3UgclV9Iao2TgOCF5nrIInXbQ1tmXnfKBr-3OxR89JySjsXNMInXWUTJm4Z2q-dbpRriWY8S_4-Z_44447fA3vVHtvyyfTx8KglG08gXaGIFo</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>James, S. R.</creator><creator>Knox, H. A.</creator><creator>Abbott, R. E.</creator><creator>Panning, M. P.</creator><creator>Screaton, E. J.</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><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>OIOZB</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-2041-3190</orcidid><orcidid>https://orcid.org/0000-0002-5456-9046</orcidid><orcidid>https://orcid.org/0000-0001-5715-253X</orcidid><orcidid>https://orcid.org/0000-0002-1635-8926</orcidid><orcidid>https://orcid.org/0000-0001-8603-1729</orcidid><orcidid>https://orcid.org/0000000254569046</orcidid><orcidid>https://orcid.org/0000000220413190</orcidid><orcidid>https://orcid.org/000000015715253X</orcidid><orcidid>https://orcid.org/0000000186031729</orcidid></search><sort><creationdate>201907</creationdate><title>Insights Into Permafrost and Seasonal Active‐Layer Dynamics From Ambient Seismic Noise Monitoring</title><author>James, S. R. ; Knox, H. A. ; Abbott, R. E. ; Panning, M. P. ; Screaton, E. J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3959-c92d5d07b92cc6ffe1c36b93fdc30c1eb3bd88c9a2c8a6622944d64277e7dfa33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>active layer</topic><topic>ambient seismic noise</topic><topic>Annual variations</topic><topic>Background noise</topic><topic>Bayesian analysis</topic><topic>Carbon budget</topic><topic>Climate change</topic><topic>Climatic conditions</topic><topic>Cold regions</topic><topic>Depth</topic><topic>Ecosystems</topic><topic>Environmental changes</topic><topic>Environmental impact</topic><topic>Environmental monitoring</topic><topic>Frequencies</topic><topic>Frozen ground</topic><topic>GEOSCIENCES</topic><topic>Heavy rainfall</topic><topic>Hydrology</topic><topic>Ice</topic><topic>Ice formation</topic><topic>Infiltration</topic><topic>Infrastructure</topic><topic>Noise</topic><topic>Noise monitoring</topic><topic>Ocean waves</topic><topic>Percolation</topic><topic>Permafrost</topic><topic>Probability theory</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Seasonal variation</topic><topic>Seasonal variations</topic><topic>Seismic activity</topic><topic>Seismic data</topic><topic>seismic interferometry</topic><topic>Seismological data</topic><topic>Snowmelt</topic><topic>Soil</topic><topic>Soil degradation</topic><topic>Soil layers</topic><topic>Soil mapping</topic><topic>Soil moisture</topic><topic>Soils</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Spatial variability</topic><topic>Spatial variations</topic><topic>Spring</topic><topic>Spring (season)</topic><topic>Summer</topic><topic>Summer rainfall</topic><topic>Surface water waves</topic><topic>Thaws</topic><topic>Tomography</topic><topic>Velocity</topic><topic>velocity variations</topic><topic>Vibrations</topic><topic>Vulnerability</topic><topic>Warm water</topic><topic>Water temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>James, S. R.</creatorcontrib><creatorcontrib>Knox, H. A.</creatorcontrib><creatorcontrib>Abbott, R. E.</creatorcontrib><creatorcontrib>Panning, M. P.</creatorcontrib><creatorcontrib>Screaton, E. J.</creatorcontrib><creatorcontrib>Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)</creatorcontrib><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>OSTI.GOV - Hybrid</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>James, S. R.</au><au>Knox, H. A.</au><au>Abbott, R. E.</au><au>Panning, M. P.</au><au>Screaton, E. J.</au><aucorp>Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Insights Into Permafrost and Seasonal Active‐Layer Dynamics From Ambient Seismic Noise Monitoring</atitle><jtitle>Journal of geophysical research. Earth surface</jtitle><date>2019-07</date><risdate>2019</risdate><volume>124</volume><issue>7</issue><spage>1798</spage><epage>1816</epage><pages>1798-1816</pages><issn>2169-9003</issn><eissn>2169-9011</eissn><abstract>Widespread permafrost thaw in response to changing climate conditions has the potential to dramatically impact ecosystems, infrastructure, and the global carbon budget. Ambient seismic noise techniques allow passive subsurface monitoring that could provide new insights into permafrost vulnerability and active‐layer processes. Using nearly 2 years of continuous seismic data recorded near Fairbanks, Alaska, we measured relative velocity variations that showed a clear seasonal cycle reflecting active‐layer freeze and thaw. Relative to January 2014, velocities increased up to 3% through late spring, decreased to −8% by late August, and then gradually returned to the initial values by the following winter. Velocities responded rapidly (over ~2 to 7 days) to discrete hydrologic events and temperature forcing and indicated that spring snowmelt and infiltration events from summer rainfall were particularly influential in propagating thaw across the site. Velocity increases during the fall zero‐curtain captured the refreezing process and incremental ice formation. Looking across multiple frequency bands (3–30 Hz), negative relative velocities began at higher frequencies earlier in the summer and then shifted lower when active‐layer thaw deepened, suggesting a potential relationship between frequency and thaw depth; however, this response was dependent on interstation distance. Bayesian tomography returned 2‐D time‐lapse images identifying zones of greatest velocity reduction concentrated in the western side of the array, providing insight into the spatial variability of thaw progression, soil moisture, and drainage. This study demonstrates the potential of passive seismic monitoring as a new tool for studying site‐scale active‐layer and permafrost thaw processes at high temporal and spatial resolution.
Plain Language Summary
Seismic vibrations in the ground generated by background sources of noise (vehicle traffic, wind, ocean waves, etc.) occur continuously and provide a way to monitor environmental changes with time. We used 2 years of noise data to study belowground changes in Alaska, where the upper layer of soil freezes and thaws seasonally and deeper soil (permafrost) remains frozen year‐round. Warming temperatures may alter the depth of thaw each summer and degrade permafrost, which could significantly impact ecosystems and infrastructure. Our results show a clear seasonal pattern corresponding with the timing of soil freeze/thaw. Vibrations traveled at the fastest speeds during early spring, indicating frozen soil with ice. Speeds became slower following snowmelt and warmer temperatures in late spring and early summer. Strong decreases in seismic‐wave speeds corresponded with heavy rains and warm temperatures, suggesting warm water percolating downward through the soil induced more thaw. Speeds gradually increased again through the fall during ice formation. We also mapped where soil changes occurred most strongly and thereby revealed spatial differences in thaw depth and soil moisture across the site. This work demonstrates that seismic noise measurements can be a valuable new tool for monitoring and mapping belowground changes in cold regions.
Key Points
Seismic velocity trends reveal a clear seasonal cycle with short timescale changes highlighting the importance of infiltration events
Velocity increases during the zero‐curtain time period provide a unique look into the freezing process and ice formation rates
Passive seismic monitoring shows great potential for spatiotemporal monitoring of subsurface dynamics in permafrost environments</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2019JF005051</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-2041-3190</orcidid><orcidid>https://orcid.org/0000-0002-5456-9046</orcidid><orcidid>https://orcid.org/0000-0001-5715-253X</orcidid><orcidid>https://orcid.org/0000-0002-1635-8926</orcidid><orcidid>https://orcid.org/0000-0001-8603-1729</orcidid><orcidid>https://orcid.org/0000000254569046</orcidid><orcidid>https://orcid.org/0000000220413190</orcidid><orcidid>https://orcid.org/000000015715253X</orcidid><orcidid>https://orcid.org/0000000186031729</orcidid><oa>free_for_read</oa></addata></record> |
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source | Wiley Journals; Wiley Free Content; Wiley-Blackwell AGU Digital Library |
subjects | active layer ambient seismic noise Annual variations Background noise Bayesian analysis Carbon budget Climate change Climatic conditions Cold regions Depth Ecosystems Environmental changes Environmental impact Environmental monitoring Frequencies Frozen ground GEOSCIENCES Heavy rainfall Hydrology Ice Ice formation Infiltration Infrastructure Noise Noise monitoring Ocean waves Percolation Permafrost Probability theory Rain Rainfall Seasonal variation Seasonal variations Seismic activity Seismic data seismic interferometry Seismological data Snowmelt Soil Soil degradation Soil layers Soil mapping Soil moisture Soils Spatial discrimination Spatial resolution Spatial variability Spatial variations Spring Spring (season) Summer Summer rainfall Surface water waves Thaws Tomography Velocity velocity variations Vibrations Vulnerability Warm water Water temperature |
title | Insights Into Permafrost and Seasonal Active‐Layer Dynamics From Ambient Seismic Noise Monitoring |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T13%3A00%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Insights%20Into%20Permafrost%20and%20Seasonal%20Active%E2%80%90Layer%20Dynamics%20From%20Ambient%20Seismic%20Noise%20Monitoring&rft.jtitle=Journal%20of%20geophysical%20research.%20Earth%20surface&rft.au=James,%20S.%20R.&rft.aucorp=Sandia%20National%20Lab.%20(SNL-NM),%20Albuquerque,%20NM%20(United%20States)&rft.date=2019-07&rft.volume=124&rft.issue=7&rft.spage=1798&rft.epage=1816&rft.pages=1798-1816&rft.issn=2169-9003&rft.eissn=2169-9011&rft_id=info:doi/10.1029/2019JF005051&rft_dat=%3Cproquest_osti_%3E2273273812%3C/proquest_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2273273812&rft_id=info:pmid/&rfr_iscdi=true |