Ripple Effects: Bed Form Morphodynamics Cascading Into Hyporheic Zone Biogeochemistry
The water quality and ecosystem health of river corridors depend on the biogeochemical processes occurring in the hyporheic zones (HZs) of the beds and banks of rivers. HZs in riverbeds often form because of bed forms. Despite widespread and persistent variation in river flow, how the discharge‐ and...
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description | The water quality and ecosystem health of river corridors depend on the biogeochemical processes occurring in the hyporheic zones (HZs) of the beds and banks of rivers. HZs in riverbeds often form because of bed forms. Despite widespread and persistent variation in river flow, how the discharge‐ and grain size‐dependent geometry of bed forms and how bed form migration collectively and systematically affects hyporheic exchange flux, solute transport, and biogeochemical reaction rates are unknown. We investigated these linked processes through morphodynamically consistent multiphysics numerical simulation experiments. Several realistic ripple geometries based on bed form stability criteria using mean river flow velocity and median sediment grain size were designed. Ripple migration rates were estimated based primarily on the river velocity. The ripple geometries and migration rates were used to drive hyporheic flow and reactive transport models which quantified HZ nitrogen transformation. Results from fixed bed form simulations were compared with matching migrating bed form scenarios. We found that the turnover exchange due to ripple migration has a large impact on reactant supply and reaction rates. The nitrate removal efficiency increased asymptotically with Damköhler number for both mobile and immobile ripples, but the immobile ripple always had a higher nitrate removal efficiency. Since moving ripples remove less nitrogen, and may even be net nitrifying at times, consideration for bed form morphodynamics may therefore lead to reduction of model‐based estimates of denitrification. The connection between nitrate removal efficiency and Damköhler number can be integrated into frameworks for quantifying transient, network‐scale, HZ nitrate dynamics.
Plain Language Summary
Sandy riverbeds are very rarely flat. They are typically covered by ripples and dunes. Because of their topography, these ripples and dunes drive variations in water pressure across their surfaces due to deflection, acceleration, and deceleration of the river flow. These pressure variations drive river water to infiltrate into the porous and permeable sediment where pressure is high and exit from the sediment where it is low. This pressure‐driven flow, called hyporheic exchange, is critical to the water quality of rivers since it allows river water to undergo biogeochemical reactions that take place within the sediment. Ripples are highly dynamic however and respond readily to changes in riv |
doi_str_mv | 10.1029/2018WR023517 |
format | Article |
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Plain Language Summary
Sandy riverbeds are very rarely flat. They are typically covered by ripples and dunes. Because of their topography, these ripples and dunes drive variations in water pressure across their surfaces due to deflection, acceleration, and deceleration of the river flow. These pressure variations drive river water to infiltrate into the porous and permeable sediment where pressure is high and exit from the sediment where it is low. This pressure‐driven flow, called hyporheic exchange, is critical to the water quality of rivers since it allows river water to undergo biogeochemical reactions that take place within the sediment. Ripples are highly dynamic however and respond readily to changes in river flow. How the migration and variable shape of ripples affect hyporheic exchange and the biogeochemical reactions it dictates is poorly understood and seldom studied. Here we bring concepts from ripple dynamics, river and groundwater hydraulics, and biogeochemistry into a unified modeling framework. The modeling was used to assess the effects of ripple migration on hyporheic zone biogeochemistry. We found that migrating ripples generally process less nitrate, a widespread pollutant, compared to their stationary counterparts. Thus, investigations and applications of hyporheic zone biogeochemical processes should pay attention to the dynamics of ripples.
Key Points
Realistic migrating ripples were analyzed for their hyporheic zone biogeochemical function
The hyporheic zone nitrate removal efficiency increases asymptotically with Damköhler number
Migrating ripples are less efficient in removing nitrate compared to stationary ripples</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2018WR023517</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Acceleration ; Aquatic ecosystems ; Banks (topography) ; Bed forms ; Biogeochemistry ; Cascading ; Computational fluid dynamics ; Computer simulation ; Deceleration ; Denitrification ; Dunes ; Dynamics ; Efficiency ; ENVIRONMENTAL SCIENCES ; Exchanging ; Fixed beds ; Flow stability ; Flow velocity ; Fluid flow ; Fluvial sediments ; GEOSCIENCES ; Grain size ; Groundwater ; Hydraulics ; Hydrostatic pressure ; Hyporheic zone ; Hyporheic zones ; Mathematical analysis ; Mathematical models ; mobile bed forms ; Modelling ; morphodynamics ; Nitrate removal ; Nitrates ; Nitrogen ; Nitrogen removal ; Numerical simulations ; Nutrient removal ; Particle size ; Pollutants ; Pressure ; Pressure variations ; Ripples ; River banks ; River beds ; River flow ; River water ; Rivers ; Sediment ; Sedimentary structures ; Sediments ; Solute transport ; Solutes ; Stability criteria ; Stream flow ; Topography (geology) ; Transport ; Variation ; Velocity ; Water pressure ; Water quality</subject><ispartof>Water resources research, 2019-08, Vol.55 (8), p.7320-7342</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-a3954-eaa06a3cfb42febe6be16c819d1c17d36a875b80f178e77866116244564fac3e3</citedby><cites>FETCH-LOGICAL-a3954-eaa06a3cfb42febe6be16c819d1c17d36a875b80f178e77866116244564fac3e3</cites><orcidid>0000-0003-0507-5442 ; 0000-0001-6270-3105 ; 0000-0001-7587-8924 ; 0000-0003-1828-4526 ; 0000000162703105 ; 0000000305075442 ; 0000000318284526 ; 0000000175878924</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%2F2018WR023517$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2018WR023517$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,315,781,785,886,1418,11519,27929,27930,45579,45580,46473,46897</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1559378$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Zheng, Lizhi</creatorcontrib><creatorcontrib>Cardenas, M. Bayani</creatorcontrib><creatorcontrib>Wang, Lichun</creatorcontrib><creatorcontrib>Mohrig, David</creatorcontrib><title>Ripple Effects: Bed Form Morphodynamics Cascading Into Hyporheic Zone Biogeochemistry</title><title>Water resources research</title><description>The water quality and ecosystem health of river corridors depend on the biogeochemical processes occurring in the hyporheic zones (HZs) of the beds and banks of rivers. HZs in riverbeds often form because of bed forms. Despite widespread and persistent variation in river flow, how the discharge‐ and grain size‐dependent geometry of bed forms and how bed form migration collectively and systematically affects hyporheic exchange flux, solute transport, and biogeochemical reaction rates are unknown. We investigated these linked processes through morphodynamically consistent multiphysics numerical simulation experiments. Several realistic ripple geometries based on bed form stability criteria using mean river flow velocity and median sediment grain size were designed. Ripple migration rates were estimated based primarily on the river velocity. The ripple geometries and migration rates were used to drive hyporheic flow and reactive transport models which quantified HZ nitrogen transformation. Results from fixed bed form simulations were compared with matching migrating bed form scenarios. We found that the turnover exchange due to ripple migration has a large impact on reactant supply and reaction rates. The nitrate removal efficiency increased asymptotically with Damköhler number for both mobile and immobile ripples, but the immobile ripple always had a higher nitrate removal efficiency. Since moving ripples remove less nitrogen, and may even be net nitrifying at times, consideration for bed form morphodynamics may therefore lead to reduction of model‐based estimates of denitrification. The connection between nitrate removal efficiency and Damköhler number can be integrated into frameworks for quantifying transient, network‐scale, HZ nitrate dynamics.
Plain Language Summary
Sandy riverbeds are very rarely flat. They are typically covered by ripples and dunes. Because of their topography, these ripples and dunes drive variations in water pressure across their surfaces due to deflection, acceleration, and deceleration of the river flow. These pressure variations drive river water to infiltrate into the porous and permeable sediment where pressure is high and exit from the sediment where it is low. This pressure‐driven flow, called hyporheic exchange, is critical to the water quality of rivers since it allows river water to undergo biogeochemical reactions that take place within the sediment. Ripples are highly dynamic however and respond readily to changes in river flow. How the migration and variable shape of ripples affect hyporheic exchange and the biogeochemical reactions it dictates is poorly understood and seldom studied. Here we bring concepts from ripple dynamics, river and groundwater hydraulics, and biogeochemistry into a unified modeling framework. The modeling was used to assess the effects of ripple migration on hyporheic zone biogeochemistry. We found that migrating ripples generally process less nitrate, a widespread pollutant, compared to their stationary counterparts. Thus, investigations and applications of hyporheic zone biogeochemical processes should pay attention to the dynamics of ripples.
Key Points
Realistic migrating ripples were analyzed for their hyporheic zone biogeochemical function
The hyporheic zone nitrate removal efficiency increases asymptotically with Damköhler number
Migrating ripples are less efficient in removing nitrate compared to stationary ripples</description><subject>Acceleration</subject><subject>Aquatic ecosystems</subject><subject>Banks (topography)</subject><subject>Bed forms</subject><subject>Biogeochemistry</subject><subject>Cascading</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Deceleration</subject><subject>Denitrification</subject><subject>Dunes</subject><subject>Dynamics</subject><subject>Efficiency</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Exchanging</subject><subject>Fixed beds</subject><subject>Flow stability</subject><subject>Flow velocity</subject><subject>Fluid flow</subject><subject>Fluvial sediments</subject><subject>GEOSCIENCES</subject><subject>Grain size</subject><subject>Groundwater</subject><subject>Hydraulics</subject><subject>Hydrostatic pressure</subject><subject>Hyporheic zone</subject><subject>Hyporheic zones</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>mobile bed forms</subject><subject>Modelling</subject><subject>morphodynamics</subject><subject>Nitrate removal</subject><subject>Nitrates</subject><subject>Nitrogen</subject><subject>Nitrogen removal</subject><subject>Numerical simulations</subject><subject>Nutrient removal</subject><subject>Particle size</subject><subject>Pollutants</subject><subject>Pressure</subject><subject>Pressure variations</subject><subject>Ripples</subject><subject>River banks</subject><subject>River beds</subject><subject>River flow</subject><subject>River water</subject><subject>Rivers</subject><subject>Sediment</subject><subject>Sedimentary structures</subject><subject>Sediments</subject><subject>Solute transport</subject><subject>Solutes</subject><subject>Stability criteria</subject><subject>Stream flow</subject><subject>Topography (geology)</subject><subject>Transport</subject><subject>Variation</subject><subject>Velocity</subject><subject>Water pressure</subject><subject>Water quality</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp90M1KAzEUBeAgCtbqzgcIunU0d5JJJu601B-oCEUpuAlp5o6NtJMxmSLz9o7UhStXd_NxOecQcgrsEliur3IG5WLOcl6A2iMj0EJkSiu-T0aMCZ4B1-qQHKX0wRiIQqoReZ37tl0jndY1ui5d01us6F2IG_oUYrsKVd_YjXeJTmxytvLNO31sukAf-jbEFXpH30KD9NaHdwxuhRufutgfk4ParhOe_N4xeb2bvkwestnz_ePkZpZZrguRobVMWu7qpchrXKJcIkhXgq7Agaq4tKUqliWrQZWoVCklgMzFkFzU1nHkY3K2-xtS501yvkO3cqFphi4GikJzVQ7ofIfaGD63mDrzEbaxGXKZPNdalhqYHNTFTrkYUopYmzb6jY29AWZ-1jV_1x043_Evv8b-X2sW88k8FyAE_wY2yHqX</recordid><startdate>201908</startdate><enddate>201908</enddate><creator>Zheng, Lizhi</creator><creator>Cardenas, M. Bayani</creator><creator>Wang, Lichun</creator><creator>Mohrig, David</creator><general>John Wiley & Sons, Inc</general><general>American Geophysical Union (AGU)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0003-0507-5442</orcidid><orcidid>https://orcid.org/0000-0001-6270-3105</orcidid><orcidid>https://orcid.org/0000-0001-7587-8924</orcidid><orcidid>https://orcid.org/0000-0003-1828-4526</orcidid><orcidid>https://orcid.org/0000000162703105</orcidid><orcidid>https://orcid.org/0000000305075442</orcidid><orcidid>https://orcid.org/0000000318284526</orcidid><orcidid>https://orcid.org/0000000175878924</orcidid></search><sort><creationdate>201908</creationdate><title>Ripple Effects: Bed Form Morphodynamics Cascading Into Hyporheic Zone Biogeochemistry</title><author>Zheng, Lizhi ; Cardenas, M. Bayani ; Wang, Lichun ; Mohrig, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3954-eaa06a3cfb42febe6be16c819d1c17d36a875b80f178e77866116244564fac3e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acceleration</topic><topic>Aquatic ecosystems</topic><topic>Banks (topography)</topic><topic>Bed forms</topic><topic>Biogeochemistry</topic><topic>Cascading</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Deceleration</topic><topic>Denitrification</topic><topic>Dunes</topic><topic>Dynamics</topic><topic>Efficiency</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Exchanging</topic><topic>Fixed beds</topic><topic>Flow stability</topic><topic>Flow velocity</topic><topic>Fluid flow</topic><topic>Fluvial sediments</topic><topic>GEOSCIENCES</topic><topic>Grain size</topic><topic>Groundwater</topic><topic>Hydraulics</topic><topic>Hydrostatic pressure</topic><topic>Hyporheic zone</topic><topic>Hyporheic zones</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>mobile bed forms</topic><topic>Modelling</topic><topic>morphodynamics</topic><topic>Nitrate removal</topic><topic>Nitrates</topic><topic>Nitrogen</topic><topic>Nitrogen removal</topic><topic>Numerical simulations</topic><topic>Nutrient removal</topic><topic>Particle size</topic><topic>Pollutants</topic><topic>Pressure</topic><topic>Pressure variations</topic><topic>Ripples</topic><topic>River banks</topic><topic>River beds</topic><topic>River flow</topic><topic>River water</topic><topic>Rivers</topic><topic>Sediment</topic><topic>Sedimentary structures</topic><topic>Sediments</topic><topic>Solute transport</topic><topic>Solutes</topic><topic>Stability criteria</topic><topic>Stream flow</topic><topic>Topography (geology)</topic><topic>Transport</topic><topic>Variation</topic><topic>Velocity</topic><topic>Water pressure</topic><topic>Water quality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Lizhi</creatorcontrib><creatorcontrib>Cardenas, M. Bayani</creatorcontrib><creatorcontrib>Wang, Lichun</creatorcontrib><creatorcontrib>Mohrig, David</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS 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>AIDS and Cancer Research Abstracts</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>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>OSTI.GOV</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Lizhi</au><au>Cardenas, M. Bayani</au><au>Wang, Lichun</au><au>Mohrig, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ripple Effects: Bed Form Morphodynamics Cascading Into Hyporheic Zone Biogeochemistry</atitle><jtitle>Water resources research</jtitle><date>2019-08</date><risdate>2019</risdate><volume>55</volume><issue>8</issue><spage>7320</spage><epage>7342</epage><pages>7320-7342</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>The water quality and ecosystem health of river corridors depend on the biogeochemical processes occurring in the hyporheic zones (HZs) of the beds and banks of rivers. HZs in riverbeds often form because of bed forms. Despite widespread and persistent variation in river flow, how the discharge‐ and grain size‐dependent geometry of bed forms and how bed form migration collectively and systematically affects hyporheic exchange flux, solute transport, and biogeochemical reaction rates are unknown. We investigated these linked processes through morphodynamically consistent multiphysics numerical simulation experiments. Several realistic ripple geometries based on bed form stability criteria using mean river flow velocity and median sediment grain size were designed. Ripple migration rates were estimated based primarily on the river velocity. The ripple geometries and migration rates were used to drive hyporheic flow and reactive transport models which quantified HZ nitrogen transformation. Results from fixed bed form simulations were compared with matching migrating bed form scenarios. We found that the turnover exchange due to ripple migration has a large impact on reactant supply and reaction rates. The nitrate removal efficiency increased asymptotically with Damköhler number for both mobile and immobile ripples, but the immobile ripple always had a higher nitrate removal efficiency. Since moving ripples remove less nitrogen, and may even be net nitrifying at times, consideration for bed form morphodynamics may therefore lead to reduction of model‐based estimates of denitrification. The connection between nitrate removal efficiency and Damköhler number can be integrated into frameworks for quantifying transient, network‐scale, HZ nitrate dynamics.
Plain Language Summary
Sandy riverbeds are very rarely flat. They are typically covered by ripples and dunes. Because of their topography, these ripples and dunes drive variations in water pressure across their surfaces due to deflection, acceleration, and deceleration of the river flow. These pressure variations drive river water to infiltrate into the porous and permeable sediment where pressure is high and exit from the sediment where it is low. This pressure‐driven flow, called hyporheic exchange, is critical to the water quality of rivers since it allows river water to undergo biogeochemical reactions that take place within the sediment. Ripples are highly dynamic however and respond readily to changes in river flow. How the migration and variable shape of ripples affect hyporheic exchange and the biogeochemical reactions it dictates is poorly understood and seldom studied. Here we bring concepts from ripple dynamics, river and groundwater hydraulics, and biogeochemistry into a unified modeling framework. The modeling was used to assess the effects of ripple migration on hyporheic zone biogeochemistry. We found that migrating ripples generally process less nitrate, a widespread pollutant, compared to their stationary counterparts. Thus, investigations and applications of hyporheic zone biogeochemical processes should pay attention to the dynamics of ripples.
Key Points
Realistic migrating ripples were analyzed for their hyporheic zone biogeochemical function
The hyporheic zone nitrate removal efficiency increases asymptotically with Damköhler number
Migrating ripples are less efficient in removing nitrate compared to stationary ripples</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2018WR023517</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0003-0507-5442</orcidid><orcidid>https://orcid.org/0000-0001-6270-3105</orcidid><orcidid>https://orcid.org/0000-0001-7587-8924</orcidid><orcidid>https://orcid.org/0000-0003-1828-4526</orcidid><orcidid>https://orcid.org/0000000162703105</orcidid><orcidid>https://orcid.org/0000000305075442</orcidid><orcidid>https://orcid.org/0000000318284526</orcidid><orcidid>https://orcid.org/0000000175878924</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acceleration Aquatic ecosystems Banks (topography) Bed forms Biogeochemistry Cascading Computational fluid dynamics Computer simulation Deceleration Denitrification Dunes Dynamics Efficiency ENVIRONMENTAL SCIENCES Exchanging Fixed beds Flow stability Flow velocity Fluid flow Fluvial sediments GEOSCIENCES Grain size Groundwater Hydraulics Hydrostatic pressure Hyporheic zone Hyporheic zones Mathematical analysis Mathematical models mobile bed forms Modelling morphodynamics Nitrate removal Nitrates Nitrogen Nitrogen removal Numerical simulations Nutrient removal Particle size Pollutants Pressure Pressure variations Ripples River banks River beds River flow River water Rivers Sediment Sedimentary structures Sediments Solute transport Solutes Stability criteria Stream flow Topography (geology) Transport Variation Velocity Water pressure Water quality |
title | Ripple Effects: Bed Form Morphodynamics Cascading Into Hyporheic Zone Biogeochemistry |
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