Groundwater‐stream connectivity from minutes to months across United States basins as revealed by spectral analysis
Stream corridors are dynamic places where streams and aquifers are connected and interact to various degrees, depending on geology, climate, stream morphology, and water use. Water table fluctuations propagate through the unconfined aquifer and are linked with changes in solute export to streams and...
Gespeichert in:
Veröffentlicht in: | Hydrological processes 2022-02, Vol.36 (2), p.n/a |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | 2 |
container_start_page | |
container_title | Hydrological processes |
container_volume | 36 |
creator | Clyne, Jacob B. Sawyer, Audrey H. |
description | Stream corridors are dynamic places where streams and aquifers are connected and interact to various degrees, depending on geology, climate, stream morphology, and water use. Water table fluctuations propagate through the unconfined aquifer and are linked with changes in solute export to streams and biogeochemical transformations in floodplain soils. Through publicly available USGS data, this study aims to better understand the behaviour of stream‐groundwater connectivity and water table fluctuations by analysing continuous time series of water levels from 17 pairs of stream gauges and nearby ( |
doi_str_mv | 10.1002/hyp.14514 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2632188826</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2632188826</sourcerecordid><originalsourceid>FETCH-LOGICAL-a3204-58d7a75f2c8e8d7b6fc6699d8a1e6b9550127715b956ba6f2c9df036b9d222cc3</originalsourceid><addsrcrecordid>eNp1kLFOwzAURS0EEqUw8AeWmBjS2k7sOCOqoEWqBBJ0YLKcxFFdJXGwnVbZ-AS-kS_BbViZ3pXueVfvXQBuMZphhMh8O3QznFCcnIEJRlkWYcTpOZggzmnEEE8vwZVzO4RQgjiagH5pTd-WB-mV_fn6dt4q2cDCtK0qvN5rP8DKmgY2uu29ctAb2JjWbx2UhTXOwU2rvSrhm5dHO5dOt8Fz0Kq9knVw8gG6LoRZWUPZynpw2l2Di0rWTt38zSnYPD2-L1bR-mX5vHhYRzImKIkoL1OZ0ooUXAWZs6pgLMtKLrFieUYpwiRNMQ2S5ZIFLisrFAerJIQURTwFd2NuZ81nr5wXO9PbcIQThMUEc87DnIL7kTp9ZFUlOqsbaQeBkTi2KkKr4tRqYOcje9C1Gv4Hxerjddz4BdosfJM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2632188826</pqid></control><display><type>article</type><title>Groundwater‐stream connectivity from minutes to months across United States basins as revealed by spectral analysis</title><source>Access via Wiley Online Library</source><creator>Clyne, Jacob B. ; Sawyer, Audrey H.</creator><creatorcontrib>Clyne, Jacob B. ; Sawyer, Audrey H.</creatorcontrib><description>Stream corridors are dynamic places where streams and aquifers are connected and interact to various degrees, depending on geology, climate, stream morphology, and water use. Water table fluctuations propagate through the unconfined aquifer and are linked with changes in solute export to streams and biogeochemical transformations in floodplain soils. Through publicly available USGS data, this study aims to better understand the behaviour of stream‐groundwater connectivity and water table fluctuations by analysing continuous time series of water levels from 17 pairs of stream gauges and nearby (<100 m) groundwater monitoring wells. Sites are located within 8 of 18 major hydrologic units (HUC‐2) across the contiguous United States and span a variety of stream sizes, climates, and land use practises. More than 50% of sites have a water table that remains within 3 m of the land surface year‐round. Energy spectral densities and cross‐wavelet transformations generally reveal strong coherence between the water table and stream stage over daily to monthly periods. The transfer function, which describes relative variations between the water table and stream stage, shows that 10 of 17 sites are more stream‐dominated at daily and monthly frequencies, meaning that water level fluctuations are greater in the stream and propagate into the aquifer. Only 1 of 17 sites is more groundwater‐dominated at daily and monthly frequencies, meaning that water level fluctuations are greater in the aquifer. This study shows the utility of frequency‐domain analysis for revealing specific timescales of stream‐aquifer interaction.
River and groundwater levels tend to fluctuate, and their relationship influences many biogeochemical and physical processes, including contaminant transport, soil respiration, and greenhouse gas production. We analysed water level data for paired river and groundwater monitoring stations in the time and frequency domains. Water levels in the river and aquifer tend to be closely correlated over daily to monthly frequencies, and fluctuations are typically greater in the river and propagate into the surrounding aquifer, though the reverse also happens.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.14514</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Aquifers ; Climate ; Climate and land use ; Corridors ; Daily ; Discharge measurement ; Floodplains ; Fluctuations ; Frequency analysis ; Gauges ; Geology ; Groundwater ; Groundwater table ; Hydrology ; hyporheic ; Land use ; Monthly ; riparian ; Rivers ; signal processing ; Soil ; Solutes ; Spectral analysis ; Spectrum analysis ; Streams ; surface water‐groundwater interactions ; Transfer functions ; Unconfined aquifers ; Water level fluctuations ; Water levels ; Water monitoring ; Water table ; Water table fluctuations ; Water use ; Wavelet transforms</subject><ispartof>Hydrological processes, 2022-02, Vol.36 (2), p.n/a</ispartof><rights>2022 John Wiley & Sons Ltd.</rights><rights>2022 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3204-58d7a75f2c8e8d7b6fc6699d8a1e6b9550127715b956ba6f2c9df036b9d222cc3</citedby><cites>FETCH-LOGICAL-a3204-58d7a75f2c8e8d7b6fc6699d8a1e6b9550127715b956ba6f2c9df036b9d222cc3</cites><orcidid>0000-0001-8174-0542 ; 0000-0002-8452-1158</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhyp.14514$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.14514$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Clyne, Jacob B.</creatorcontrib><creatorcontrib>Sawyer, Audrey H.</creatorcontrib><title>Groundwater‐stream connectivity from minutes to months across United States basins as revealed by spectral analysis</title><title>Hydrological processes</title><description>Stream corridors are dynamic places where streams and aquifers are connected and interact to various degrees, depending on geology, climate, stream morphology, and water use. Water table fluctuations propagate through the unconfined aquifer and are linked with changes in solute export to streams and biogeochemical transformations in floodplain soils. Through publicly available USGS data, this study aims to better understand the behaviour of stream‐groundwater connectivity and water table fluctuations by analysing continuous time series of water levels from 17 pairs of stream gauges and nearby (<100 m) groundwater monitoring wells. Sites are located within 8 of 18 major hydrologic units (HUC‐2) across the contiguous United States and span a variety of stream sizes, climates, and land use practises. More than 50% of sites have a water table that remains within 3 m of the land surface year‐round. Energy spectral densities and cross‐wavelet transformations generally reveal strong coherence between the water table and stream stage over daily to monthly periods. The transfer function, which describes relative variations between the water table and stream stage, shows that 10 of 17 sites are more stream‐dominated at daily and monthly frequencies, meaning that water level fluctuations are greater in the stream and propagate into the aquifer. Only 1 of 17 sites is more groundwater‐dominated at daily and monthly frequencies, meaning that water level fluctuations are greater in the aquifer. This study shows the utility of frequency‐domain analysis for revealing specific timescales of stream‐aquifer interaction.
River and groundwater levels tend to fluctuate, and their relationship influences many biogeochemical and physical processes, including contaminant transport, soil respiration, and greenhouse gas production. We analysed water level data for paired river and groundwater monitoring stations in the time and frequency domains. Water levels in the river and aquifer tend to be closely correlated over daily to monthly frequencies, and fluctuations are typically greater in the river and propagate into the surrounding aquifer, though the reverse also happens.</description><subject>Aquifers</subject><subject>Climate</subject><subject>Climate and land use</subject><subject>Corridors</subject><subject>Daily</subject><subject>Discharge measurement</subject><subject>Floodplains</subject><subject>Fluctuations</subject><subject>Frequency analysis</subject><subject>Gauges</subject><subject>Geology</subject><subject>Groundwater</subject><subject>Groundwater table</subject><subject>Hydrology</subject><subject>hyporheic</subject><subject>Land use</subject><subject>Monthly</subject><subject>riparian</subject><subject>Rivers</subject><subject>signal processing</subject><subject>Soil</subject><subject>Solutes</subject><subject>Spectral analysis</subject><subject>Spectrum analysis</subject><subject>Streams</subject><subject>surface water‐groundwater interactions</subject><subject>Transfer functions</subject><subject>Unconfined aquifers</subject><subject>Water level fluctuations</subject><subject>Water levels</subject><subject>Water monitoring</subject><subject>Water table</subject><subject>Water table fluctuations</subject><subject>Water use</subject><subject>Wavelet transforms</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kLFOwzAURS0EEqUw8AeWmBjS2k7sOCOqoEWqBBJ0YLKcxFFdJXGwnVbZ-AS-kS_BbViZ3pXueVfvXQBuMZphhMh8O3QznFCcnIEJRlkWYcTpOZggzmnEEE8vwZVzO4RQgjiagH5pTd-WB-mV_fn6dt4q2cDCtK0qvN5rP8DKmgY2uu29ctAb2JjWbx2UhTXOwU2rvSrhm5dHO5dOt8Fz0Kq9knVw8gG6LoRZWUPZynpw2l2Di0rWTt38zSnYPD2-L1bR-mX5vHhYRzImKIkoL1OZ0ooUXAWZs6pgLMtKLrFieUYpwiRNMQ2S5ZIFLisrFAerJIQURTwFd2NuZ81nr5wXO9PbcIQThMUEc87DnIL7kTp9ZFUlOqsbaQeBkTi2KkKr4tRqYOcje9C1Gv4Hxerjddz4BdosfJM</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Clyne, Jacob B.</creator><creator>Sawyer, Audrey H.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-8174-0542</orcidid><orcidid>https://orcid.org/0000-0002-8452-1158</orcidid></search><sort><creationdate>202202</creationdate><title>Groundwater‐stream connectivity from minutes to months across United States basins as revealed by spectral analysis</title><author>Clyne, Jacob B. ; Sawyer, Audrey H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3204-58d7a75f2c8e8d7b6fc6699d8a1e6b9550127715b956ba6f2c9df036b9d222cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aquifers</topic><topic>Climate</topic><topic>Climate and land use</topic><topic>Corridors</topic><topic>Daily</topic><topic>Discharge measurement</topic><topic>Floodplains</topic><topic>Fluctuations</topic><topic>Frequency analysis</topic><topic>Gauges</topic><topic>Geology</topic><topic>Groundwater</topic><topic>Groundwater table</topic><topic>Hydrology</topic><topic>hyporheic</topic><topic>Land use</topic><topic>Monthly</topic><topic>riparian</topic><topic>Rivers</topic><topic>signal processing</topic><topic>Soil</topic><topic>Solutes</topic><topic>Spectral analysis</topic><topic>Spectrum analysis</topic><topic>Streams</topic><topic>surface water‐groundwater interactions</topic><topic>Transfer functions</topic><topic>Unconfined aquifers</topic><topic>Water level fluctuations</topic><topic>Water levels</topic><topic>Water monitoring</topic><topic>Water table</topic><topic>Water table fluctuations</topic><topic>Water use</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clyne, Jacob B.</creatorcontrib><creatorcontrib>Sawyer, Audrey H.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</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>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>Environment Abstracts</collection><jtitle>Hydrological processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clyne, Jacob B.</au><au>Sawyer, Audrey H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Groundwater‐stream connectivity from minutes to months across United States basins as revealed by spectral analysis</atitle><jtitle>Hydrological processes</jtitle><date>2022-02</date><risdate>2022</risdate><volume>36</volume><issue>2</issue><epage>n/a</epage><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>Stream corridors are dynamic places where streams and aquifers are connected and interact to various degrees, depending on geology, climate, stream morphology, and water use. Water table fluctuations propagate through the unconfined aquifer and are linked with changes in solute export to streams and biogeochemical transformations in floodplain soils. Through publicly available USGS data, this study aims to better understand the behaviour of stream‐groundwater connectivity and water table fluctuations by analysing continuous time series of water levels from 17 pairs of stream gauges and nearby (<100 m) groundwater monitoring wells. Sites are located within 8 of 18 major hydrologic units (HUC‐2) across the contiguous United States and span a variety of stream sizes, climates, and land use practises. More than 50% of sites have a water table that remains within 3 m of the land surface year‐round. Energy spectral densities and cross‐wavelet transformations generally reveal strong coherence between the water table and stream stage over daily to monthly periods. The transfer function, which describes relative variations between the water table and stream stage, shows that 10 of 17 sites are more stream‐dominated at daily and monthly frequencies, meaning that water level fluctuations are greater in the stream and propagate into the aquifer. Only 1 of 17 sites is more groundwater‐dominated at daily and monthly frequencies, meaning that water level fluctuations are greater in the aquifer. This study shows the utility of frequency‐domain analysis for revealing specific timescales of stream‐aquifer interaction.
River and groundwater levels tend to fluctuate, and their relationship influences many biogeochemical and physical processes, including contaminant transport, soil respiration, and greenhouse gas production. We analysed water level data for paired river and groundwater monitoring stations in the time and frequency domains. Water levels in the river and aquifer tend to be closely correlated over daily to monthly frequencies, and fluctuations are typically greater in the river and propagate into the surrounding aquifer, though the reverse also happens.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/hyp.14514</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8174-0542</orcidid><orcidid>https://orcid.org/0000-0002-8452-1158</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0885-6087 |
ispartof | Hydrological processes, 2022-02, Vol.36 (2), p.n/a |
issn | 0885-6087 1099-1085 |
language | eng |
recordid | cdi_proquest_journals_2632188826 |
source | Access via Wiley Online Library |
subjects | Aquifers Climate Climate and land use Corridors Daily Discharge measurement Floodplains Fluctuations Frequency analysis Gauges Geology Groundwater Groundwater table Hydrology hyporheic Land use Monthly riparian Rivers signal processing Soil Solutes Spectral analysis Spectrum analysis Streams surface water‐groundwater interactions Transfer functions Unconfined aquifers Water level fluctuations Water levels Water monitoring Water table Water table fluctuations Water use Wavelet transforms |
title | Groundwater‐stream connectivity from minutes to months across United States basins as revealed by spectral analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T10%3A07%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Groundwater%E2%80%90stream%20connectivity%20from%20minutes%20to%20months%20across%20United%20States%20basins%20as%20revealed%20by%20spectral%20analysis&rft.jtitle=Hydrological%20processes&rft.au=Clyne,%20Jacob%20B.&rft.date=2022-02&rft.volume=36&rft.issue=2&rft.epage=n/a&rft.issn=0885-6087&rft.eissn=1099-1085&rft_id=info:doi/10.1002/hyp.14514&rft_dat=%3Cproquest_cross%3E2632188826%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2632188826&rft_id=info:pmid/&rfr_iscdi=true |