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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water resources research 2019-08, Vol.55 (8), p.7320-7342
Hauptverfasser: Zheng, Lizhi, Cardenas, M. Bayani, Wang, Lichun, Mohrig, David
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 7342
container_issue 8
container_start_page 7320
container_title Water resources research
container_volume 55
creator Zheng, Lizhi
Cardenas, M. Bayani
Wang, Lichun
Mohrig, David
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
fullrecord <record><control><sourceid>proquest_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1559378</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2299689106</sourcerecordid><originalsourceid>FETCH-LOGICAL-a3954-eaa06a3cfb42febe6be16c819d1c17d36a875b80f178e77866116244564fac3e3</originalsourceid><addsrcrecordid>eNp90M1KAzEUBeAgCtbqzgcIunU0d5JJJu601B-oCEUpuAlp5o6NtJMxmSLz9o7UhStXd_NxOecQcgrsEliur3IG5WLOcl6A2iMj0EJkSiu-T0aMCZ4B1-qQHKX0wRiIQqoReZ37tl0jndY1ui5d01us6F2IG_oUYrsKVd_YjXeJTmxytvLNO31sukAf-jbEFXpH30KD9NaHdwxuhRufutgfk4ParhOe_N4xeb2bvkwestnz_ePkZpZZrguRobVMWu7qpchrXKJcIkhXgq7Agaq4tKUqliWrQZWoVCklgMzFkFzU1nHkY3K2-xtS501yvkO3cqFphi4GikJzVQ7ofIfaGD63mDrzEbaxGXKZPNdalhqYHNTFTrkYUopYmzb6jY29AWZ-1jV_1x043_Evv8b-X2sW88k8FyAE_wY2yHqX</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2299689106</pqid></control><display><type>article</type><title>Ripple Effects: Bed Form Morphodynamics Cascading Into Hyporheic Zone Biogeochemistry</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Wiley-Blackwell AGU Digital Library</source><source>Wiley Online Library All Journals</source><creator>Zheng, Lizhi ; Cardenas, M. Bayani ; Wang, Lichun ; Mohrig, David</creator><creatorcontrib>Zheng, Lizhi ; Cardenas, M. Bayani ; Wang, Lichun ; Mohrig, David</creatorcontrib><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><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2018WR023517</identifier><language>eng</language><publisher>Washington: John Wiley &amp; 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 &amp; 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 &amp; 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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 0043-1397
ispartof Water resources research, 2019-08, Vol.55 (8), p.7320-7342
issn 0043-1397
1944-7973
language eng
recordid cdi_osti_scitechconnect_1559378
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley-Blackwell AGU Digital Library; Wiley Online Library All Journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T07%3A54%3A00IST&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=Ripple%20Effects:%20Bed%20Form%20Morphodynamics%20Cascading%20Into%20Hyporheic%20Zone%20Biogeochemistry&rft.jtitle=Water%20resources%20research&rft.au=Zheng,%20Lizhi&rft.date=2019-08&rft.volume=55&rft.issue=8&rft.spage=7320&rft.epage=7342&rft.pages=7320-7342&rft.issn=0043-1397&rft.eissn=1944-7973&rft_id=info:doi/10.1029/2018WR023517&rft_dat=%3Cproquest_osti_%3E2299689106%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=2299689106&rft_id=info:pmid/&rfr_iscdi=true