Combining experimental and modelling approaches to monitor the transport of an artificial tracer through the hyporheic zone
In order to advance methodologies used in the investigation of Hyporheic Zone (HZ) mixing processes, this article combines experimental and modelling tools to follow a tracer injected into the river and infiltrating into the HZ. A highly concentrated sodium chloride solution was injected into the ri...
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| Veröffentlicht in: | Hydrological processes 2022-02, Vol.36 (2), p.n/a |
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| description | In order to advance methodologies used in the investigation of Hyporheic Zone (HZ) mixing processes, this article combines experimental and modelling tools to follow a tracer injected into the river and infiltrating into the HZ. A highly concentrated sodium chloride solution was injected into the river; (i) the river conductivity, (ii) the riverbed resistivity by Electrical Resistivity Tomography (ERT) and (iii) vertically distributed chloride concentrations within the HZ were monitored. Both ERT and concentration measurements showed an infiltration depth of the tracer of 35 cm, and a partial recovery after injection, which was faster within the superficial layer that was found to be more resistive according to the ERT initial image. The modelling approach used the HydroGeoSphere code to model the coupling between river surface flows and HZ groundwater flows and transport processes. The model set‐up involved a 50 cm high existing riverbed step, a vertical contrast in HZ saturated hydraulic conductivity and the aquifer discharge flux. Fitting the vertical chloride profile, the adjusted values were 5 × 10−2 m s−1 for the saturated hydraulic conductivity of the first highly permeable layer below the riverbed, and 4 × 10−6 m s−1 for the aquifer discharge flux. The bottom layer saturated hydraulic conductivity was found to be at least 10 times lower than the value within the first layer. Numerical simulations showed that the two main parameters controlling the mixing within the HZ were the groundwater discharge and the saturated hydraulic conductivity first sediment layer of the riverbed. The riverbed step was found to be less significant here compared to these two parameters. The combination of experimental and modelling tools allowed us to quantify the aquifer discharge flux, which is complicated to investigate in the field without any model. Results of this study showed that combining modelling with ERT and vertically distributed chloride sampling allows the quantification of the main factors controlling the hyporheic exchange.
The mixing processes within the hyporheic zone were monitored during a tracer test experiment with the help of vertical chloride sampling and ERT measurements. The observed results were successfully reproduced by a model built with the HydroGeoSphere code. Coupling various experimental measurements with a modelling approach helped in understanding the processes that drive the river fluxes through the hyporheic zone and allowed quantif |
| doi_str_mv | 10.1002/hyp.14498 |
| format | Article |
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The mixing processes within the hyporheic zone were monitored during a tracer test experiment with the help of vertical chloride sampling and ERT measurements. The observed results were successfully reproduced by a model built with the HydroGeoSphere code. Coupling various experimental measurements with a modelling approach helped in understanding the processes that drive the river fluxes through the hyporheic zone and allowed quantifying the aquifer discharge towards the river.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.14498</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Aquifers ; artificial tracer transport ; Chloride ; Chlorides ; Chlorine compounds ; Discharge ; Electrical resistivity ; Environmental Sciences ; Fluctuations ; Fluvial sediments ; Groundwater ; Groundwater discharge ; Groundwater flow ; Hydraulic conductivity ; Hydraulics ; Hyporheic zone ; Hyporheic zones ; Mathematical models ; Mixing ; Mixing processes ; Modelling ; Numerical simulations ; Parameters ; River beds ; Riverbeds ; Rivers ; Sodium ; Sodium chloride ; time‐lapse electrical resistivity tomography (ERT) ; Tomography ; Tracers ; Transport processes</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><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3898-8d80ca4d1d5a5e3952152a523aadcb0364b478d0161fec46db192c3abbbe7d753</citedby><cites>FETCH-LOGICAL-a3898-8d80ca4d1d5a5e3952152a523aadcb0364b478d0161fec46db192c3abbbe7d753</cites><orcidid>0000-0002-5816-9306 ; 0000-0001-9947-342X ; 0000-0002-4097-9204 ; 0000-0002-0778-8115</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.14498$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.14498$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03604096$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Houzé, Clémence</creatorcontrib><creatorcontrib>Durand, Véronique</creatorcontrib><creatorcontrib>Mügler, Claude</creatorcontrib><creatorcontrib>Pessel, Marc</creatorcontrib><creatorcontrib>Monvoisin, Gaël</creatorcontrib><creatorcontrib>Courbet, Christelle</creatorcontrib><creatorcontrib>Noûs, Camille</creatorcontrib><title>Combining experimental and modelling approaches to monitor the transport of an artificial tracer through the hyporheic zone</title><title>Hydrological processes</title><description>In order to advance methodologies used in the investigation of Hyporheic Zone (HZ) mixing processes, this article combines experimental and modelling tools to follow a tracer injected into the river and infiltrating into the HZ. A highly concentrated sodium chloride solution was injected into the river; (i) the river conductivity, (ii) the riverbed resistivity by Electrical Resistivity Tomography (ERT) and (iii) vertically distributed chloride concentrations within the HZ were monitored. Both ERT and concentration measurements showed an infiltration depth of the tracer of 35 cm, and a partial recovery after injection, which was faster within the superficial layer that was found to be more resistive according to the ERT initial image. The modelling approach used the HydroGeoSphere code to model the coupling between river surface flows and HZ groundwater flows and transport processes. The model set‐up involved a 50 cm high existing riverbed step, a vertical contrast in HZ saturated hydraulic conductivity and the aquifer discharge flux. Fitting the vertical chloride profile, the adjusted values were 5 × 10−2 m s−1 for the saturated hydraulic conductivity of the first highly permeable layer below the riverbed, and 4 × 10−6 m s−1 for the aquifer discharge flux. The bottom layer saturated hydraulic conductivity was found to be at least 10 times lower than the value within the first layer. Numerical simulations showed that the two main parameters controlling the mixing within the HZ were the groundwater discharge and the saturated hydraulic conductivity first sediment layer of the riverbed. The riverbed step was found to be less significant here compared to these two parameters. The combination of experimental and modelling tools allowed us to quantify the aquifer discharge flux, which is complicated to investigate in the field without any model. Results of this study showed that combining modelling with ERT and vertically distributed chloride sampling allows the quantification of the main factors controlling the hyporheic exchange.
The mixing processes within the hyporheic zone were monitored during a tracer test experiment with the help of vertical chloride sampling and ERT measurements. The observed results were successfully reproduced by a model built with the HydroGeoSphere code. Coupling various experimental measurements with a modelling approach helped in understanding the processes that drive the river fluxes through the hyporheic zone and allowed quantifying the aquifer discharge towards the river.</description><subject>Aquifers</subject><subject>artificial tracer transport</subject><subject>Chloride</subject><subject>Chlorides</subject><subject>Chlorine compounds</subject><subject>Discharge</subject><subject>Electrical resistivity</subject><subject>Environmental Sciences</subject><subject>Fluctuations</subject><subject>Fluvial sediments</subject><subject>Groundwater</subject><subject>Groundwater discharge</subject><subject>Groundwater flow</subject><subject>Hydraulic conductivity</subject><subject>Hydraulics</subject><subject>Hyporheic zone</subject><subject>Hyporheic zones</subject><subject>Mathematical models</subject><subject>Mixing</subject><subject>Mixing processes</subject><subject>Modelling</subject><subject>Numerical simulations</subject><subject>Parameters</subject><subject>River beds</subject><subject>Riverbeds</subject><subject>Rivers</subject><subject>Sodium</subject><subject>Sodium chloride</subject><subject>time‐lapse electrical resistivity tomography (ERT)</subject><subject>Tomography</subject><subject>Tracers</subject><subject>Transport processes</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kbFOwzAQhi0EEqUw8AaWmBjS2kmc2GNVAUWqBAMMTNbFdhpXaRycFCi8PE6LYGKydPfdp_t9CF1SMqGExNNq105omgp-hEaUCBFRwtkxGhHOWZQRnp-is65bE0JSwskIfc3dprCNbVbYfLTG241peqgxNBpvnDZ1PbSgbb0DVZkO9y7UG9s7j_vK4N5D07XO99iVYQiD721plQ2K0FJmoLzbrqo9HbZzvjJW4U_XmHN0UkLdmYufd4yeb2-e5oto-XB3P58tI0i44BHXnChINdUMmEkEiymLgcUJgFYFSbK0SHOuCc1oaVSa6YKKWCVQFIXJdc6SMbo-eCuoZRsigt9JB1YuZks51IIjfIfI3mhgrw5sCPy6NV0v127rm7CejLMkplykefZnVN51nTflr5YSOdxBhqRyf4fATg_su63N7n9QLl4eDxPf8euL1g</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Houzé, Clémence</creator><creator>Durand, Véronique</creator><creator>Mügler, Claude</creator><creator>Pessel, Marc</creator><creator>Monvoisin, Gaël</creator><creator>Courbet, Christelle</creator><creator>Noûs, Camille</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><general>Wiley</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><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-5816-9306</orcidid><orcidid>https://orcid.org/0000-0001-9947-342X</orcidid><orcidid>https://orcid.org/0000-0002-4097-9204</orcidid><orcidid>https://orcid.org/0000-0002-0778-8115</orcidid></search><sort><creationdate>202202</creationdate><title>Combining experimental and modelling approaches to monitor the transport of an artificial tracer through the hyporheic zone</title><author>Houzé, Clémence ; Durand, Véronique ; Mügler, Claude ; Pessel, Marc ; Monvoisin, Gaël ; Courbet, Christelle ; Noûs, Camille</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3898-8d80ca4d1d5a5e3952152a523aadcb0364b478d0161fec46db192c3abbbe7d753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aquifers</topic><topic>artificial tracer transport</topic><topic>Chloride</topic><topic>Chlorides</topic><topic>Chlorine compounds</topic><topic>Discharge</topic><topic>Electrical resistivity</topic><topic>Environmental Sciences</topic><topic>Fluctuations</topic><topic>Fluvial sediments</topic><topic>Groundwater</topic><topic>Groundwater discharge</topic><topic>Groundwater flow</topic><topic>Hydraulic conductivity</topic><topic>Hydraulics</topic><topic>Hyporheic zone</topic><topic>Hyporheic zones</topic><topic>Mathematical models</topic><topic>Mixing</topic><topic>Mixing processes</topic><topic>Modelling</topic><topic>Numerical simulations</topic><topic>Parameters</topic><topic>River beds</topic><topic>Riverbeds</topic><topic>Rivers</topic><topic>Sodium</topic><topic>Sodium chloride</topic><topic>time‐lapse electrical resistivity tomography (ERT)</topic><topic>Tomography</topic><topic>Tracers</topic><topic>Transport processes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Houzé, Clémence</creatorcontrib><creatorcontrib>Durand, Véronique</creatorcontrib><creatorcontrib>Mügler, Claude</creatorcontrib><creatorcontrib>Pessel, Marc</creatorcontrib><creatorcontrib>Monvoisin, Gaël</creatorcontrib><creatorcontrib>Courbet, Christelle</creatorcontrib><creatorcontrib>Noûs, Camille</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><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Hydrological processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Houzé, Clémence</au><au>Durand, Véronique</au><au>Mügler, Claude</au><au>Pessel, Marc</au><au>Monvoisin, Gaël</au><au>Courbet, Christelle</au><au>Noûs, Camille</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combining experimental and modelling approaches to monitor the transport of an artificial tracer through the hyporheic zone</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>In order to advance methodologies used in the investigation of Hyporheic Zone (HZ) mixing processes, this article combines experimental and modelling tools to follow a tracer injected into the river and infiltrating into the HZ. A highly concentrated sodium chloride solution was injected into the river; (i) the river conductivity, (ii) the riverbed resistivity by Electrical Resistivity Tomography (ERT) and (iii) vertically distributed chloride concentrations within the HZ were monitored. Both ERT and concentration measurements showed an infiltration depth of the tracer of 35 cm, and a partial recovery after injection, which was faster within the superficial layer that was found to be more resistive according to the ERT initial image. The modelling approach used the HydroGeoSphere code to model the coupling between river surface flows and HZ groundwater flows and transport processes. The model set‐up involved a 50 cm high existing riverbed step, a vertical contrast in HZ saturated hydraulic conductivity and the aquifer discharge flux. Fitting the vertical chloride profile, the adjusted values were 5 × 10−2 m s−1 for the saturated hydraulic conductivity of the first highly permeable layer below the riverbed, and 4 × 10−6 m s−1 for the aquifer discharge flux. The bottom layer saturated hydraulic conductivity was found to be at least 10 times lower than the value within the first layer. Numerical simulations showed that the two main parameters controlling the mixing within the HZ were the groundwater discharge and the saturated hydraulic conductivity first sediment layer of the riverbed. The riverbed step was found to be less significant here compared to these two parameters. The combination of experimental and modelling tools allowed us to quantify the aquifer discharge flux, which is complicated to investigate in the field without any model. Results of this study showed that combining modelling with ERT and vertically distributed chloride sampling allows the quantification of the main factors controlling the hyporheic exchange.
The mixing processes within the hyporheic zone were monitored during a tracer test experiment with the help of vertical chloride sampling and ERT measurements. The observed results were successfully reproduced by a model built with the HydroGeoSphere code. Coupling various experimental measurements with a modelling approach helped in understanding the processes that drive the river fluxes through the hyporheic zone and allowed quantifying the aquifer discharge towards the river.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/hyp.14498</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-5816-9306</orcidid><orcidid>https://orcid.org/0000-0001-9947-342X</orcidid><orcidid>https://orcid.org/0000-0002-4097-9204</orcidid><orcidid>https://orcid.org/0000-0002-0778-8115</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Aquifers artificial tracer transport Chloride Chlorides Chlorine compounds Discharge Electrical resistivity Environmental Sciences Fluctuations Fluvial sediments Groundwater Groundwater discharge Groundwater flow Hydraulic conductivity Hydraulics Hyporheic zone Hyporheic zones Mathematical models Mixing Mixing processes Modelling Numerical simulations Parameters River beds Riverbeds Rivers Sodium Sodium chloride time‐lapse electrical resistivity tomography (ERT) Tomography Tracers Transport processes |
| title | Combining experimental and modelling approaches to monitor the transport of an artificial tracer through the hyporheic zone |
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