Objective hydrograph baseflow recession analysis
•Recession plot innovations improve ability to discern stream-aquifer behaviors.•Estimation schemes employing innovations were preferred.•Few sites exhibited consistent behavior depending on various estimation approaches. A streamflow hydrograph recession curve expresses the theoretical relationship...
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Veröffentlicht in: | Journal of hydrology (Amsterdam) 2015-06, Vol.525, p.102-112 |
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creator | Thomas, Brian F. Vogel, Richard M. Famiglietti, James S. |
description | •Recession plot innovations improve ability to discern stream-aquifer behaviors.•Estimation schemes employing innovations were preferred.•Few sites exhibited consistent behavior depending on various estimation approaches.
A streamflow hydrograph recession curve expresses the theoretical relationship between aquifer structure and groundwater outflow to a stream channel. That theoretical relationship is often portrayed empirically using a recession plot defined as a plot of ln(−dQ/dt) versus ln(Q), where Q is streamflow discharge. Such hydrograph recession plots are commonly used to estimate recession parameters, aquifer properties and for evaluating alternative hydrologic hypotheses. We introduce a comprehensive and objective approach to analyze baseflow recessions with innovations including the use of quantile regression, efficient and objective numerical estimation of dQ/dt, inclusion of groundwater withdrawals, and incorporation of seasonal effects. We document that these innovations when all combined, lead to significant improvements, over previous studies, in our ability to discern the theoretical behavior of stream aquifer systems. A case study reveals that our methodology enables us to reject the simple linear reservoir hypothesis of stream aquifer interactions for watersheds in New Jersey and results in improved correlations between low flow statistics and aquifer properties for those same watersheds. |
doi_str_mv | 10.1016/j.jhydrol.2015.03.028 |
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A streamflow hydrograph recession curve expresses the theoretical relationship between aquifer structure and groundwater outflow to a stream channel. That theoretical relationship is often portrayed empirically using a recession plot defined as a plot of ln(−dQ/dt) versus ln(Q), where Q is streamflow discharge. Such hydrograph recession plots are commonly used to estimate recession parameters, aquifer properties and for evaluating alternative hydrologic hypotheses. We introduce a comprehensive and objective approach to analyze baseflow recessions with innovations including the use of quantile regression, efficient and objective numerical estimation of dQ/dt, inclusion of groundwater withdrawals, and incorporation of seasonal effects. We document that these innovations when all combined, lead to significant improvements, over previous studies, in our ability to discern the theoretical behavior of stream aquifer systems. A case study reveals that our methodology enables us to reject the simple linear reservoir hypothesis of stream aquifer interactions for watersheds in New Jersey and results in improved correlations between low flow statistics and aquifer properties for those same watersheds.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/j.jhydrol.2015.03.028</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Aquifers ; Freshwater ; Groundwater ; Groundwater/surface water interaction ; Hydrology ; Hydromorphology ; Linear reservoir ; Mathematical models ; Numerical derivative ; Quantile regression ; Recession ; Streams ; Water runoff ; Water withdrawal ; Watersheds</subject><ispartof>Journal of hydrology (Amsterdam), 2015-06, Vol.525, p.102-112</ispartof><rights>2015 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-9cc2f6ad35db561cbb9b2fc84a8ff52df802f90879edc2c5c7ecd4c97c4af9953</citedby><cites>FETCH-LOGICAL-c422t-9cc2f6ad35db561cbb9b2fc84a8ff52df802f90879edc2c5c7ecd4c97c4af9953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jhydrol.2015.03.028$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Thomas, Brian F.</creatorcontrib><creatorcontrib>Vogel, Richard M.</creatorcontrib><creatorcontrib>Famiglietti, James S.</creatorcontrib><title>Objective hydrograph baseflow recession analysis</title><title>Journal of hydrology (Amsterdam)</title><description>•Recession plot innovations improve ability to discern stream-aquifer behaviors.•Estimation schemes employing innovations were preferred.•Few sites exhibited consistent behavior depending on various estimation approaches.
A streamflow hydrograph recession curve expresses the theoretical relationship between aquifer structure and groundwater outflow to a stream channel. That theoretical relationship is often portrayed empirically using a recession plot defined as a plot of ln(−dQ/dt) versus ln(Q), where Q is streamflow discharge. Such hydrograph recession plots are commonly used to estimate recession parameters, aquifer properties and for evaluating alternative hydrologic hypotheses. We introduce a comprehensive and objective approach to analyze baseflow recessions with innovations including the use of quantile regression, efficient and objective numerical estimation of dQ/dt, inclusion of groundwater withdrawals, and incorporation of seasonal effects. We document that these innovations when all combined, lead to significant improvements, over previous studies, in our ability to discern the theoretical behavior of stream aquifer systems. A case study reveals that our methodology enables us to reject the simple linear reservoir hypothesis of stream aquifer interactions for watersheds in New Jersey and results in improved correlations between low flow statistics and aquifer properties for those same watersheds.</description><subject>Aquifers</subject><subject>Freshwater</subject><subject>Groundwater</subject><subject>Groundwater/surface water interaction</subject><subject>Hydrology</subject><subject>Hydromorphology</subject><subject>Linear reservoir</subject><subject>Mathematical models</subject><subject>Numerical derivative</subject><subject>Quantile regression</subject><subject>Recession</subject><subject>Streams</subject><subject>Water runoff</subject><subject>Water withdrawal</subject><subject>Watersheds</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkEtPwzAQhC0EEqXwE5By5JLgR5zEJ4QqXlKlXuBsOes1dZQ2xU6L-u9xae-wl73MzO58hNwyWjDKqvuu6JZ7G4a-4JTJgoqC8uaMTFhTq5zXtD4nE0o5z1mlyktyFWNH0whRTghdtB3C6HeY_WZ8BrNZZq2J6PrhOwsIGKMf1plZm34ffbwmF870EW9Oe0o-np_eZ6_5fPHyNnuc51ByPuYKgLvKWCFtKysGbata7qApTeOc5NY1lDtF04dogYOEGsGWoGoojVNKiim5O-ZuwvC1xTjqlY-AfW_WOGyjZnVNRdlIKf4hFbzhVbqVpPIohTDEGNDpTfArE_aaUX2AqTt9gqkPMDUVOsFMvoejD1PlncegI3hcA1qfEI3aDv6PhB-PQ4ET</recordid><startdate>201506</startdate><enddate>201506</enddate><creator>Thomas, Brian F.</creator><creator>Vogel, Richard M.</creator><creator>Famiglietti, James S.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201506</creationdate><title>Objective hydrograph baseflow recession analysis</title><author>Thomas, Brian F. ; Vogel, Richard M. ; Famiglietti, James S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-9cc2f6ad35db561cbb9b2fc84a8ff52df802f90879edc2c5c7ecd4c97c4af9953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aquifers</topic><topic>Freshwater</topic><topic>Groundwater</topic><topic>Groundwater/surface water interaction</topic><topic>Hydrology</topic><topic>Hydromorphology</topic><topic>Linear reservoir</topic><topic>Mathematical models</topic><topic>Numerical derivative</topic><topic>Quantile regression</topic><topic>Recession</topic><topic>Streams</topic><topic>Water runoff</topic><topic>Water withdrawal</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thomas, Brian F.</creatorcontrib><creatorcontrib>Vogel, Richard M.</creatorcontrib><creatorcontrib>Famiglietti, James S.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thomas, Brian F.</au><au>Vogel, Richard M.</au><au>Famiglietti, James S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Objective hydrograph baseflow recession analysis</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2015-06</date><risdate>2015</risdate><volume>525</volume><spage>102</spage><epage>112</epage><pages>102-112</pages><issn>0022-1694</issn><eissn>1879-2707</eissn><abstract>•Recession plot innovations improve ability to discern stream-aquifer behaviors.•Estimation schemes employing innovations were preferred.•Few sites exhibited consistent behavior depending on various estimation approaches.
A streamflow hydrograph recession curve expresses the theoretical relationship between aquifer structure and groundwater outflow to a stream channel. That theoretical relationship is often portrayed empirically using a recession plot defined as a plot of ln(−dQ/dt) versus ln(Q), where Q is streamflow discharge. Such hydrograph recession plots are commonly used to estimate recession parameters, aquifer properties and for evaluating alternative hydrologic hypotheses. We introduce a comprehensive and objective approach to analyze baseflow recessions with innovations including the use of quantile regression, efficient and objective numerical estimation of dQ/dt, inclusion of groundwater withdrawals, and incorporation of seasonal effects. We document that these innovations when all combined, lead to significant improvements, over previous studies, in our ability to discern the theoretical behavior of stream aquifer systems. A case study reveals that our methodology enables us to reject the simple linear reservoir hypothesis of stream aquifer interactions for watersheds in New Jersey and results in improved correlations between low flow statistics and aquifer properties for those same watersheds.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2015.03.028</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aquifers Freshwater Groundwater Groundwater/surface water interaction Hydrology Hydromorphology Linear reservoir Mathematical models Numerical derivative Quantile regression Recession Streams Water runoff Water withdrawal Watersheds |
title | Objective hydrograph baseflow recession analysis |
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