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A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0)
Surface water quality along river corridors can be modulated by hyporheic zones (HZs) that are ubiquitous and biogeochemically active. Watershed management practices often ignore the potentially important role of HZs as a natural reactor. To investigate the effect of hydrological exchange and biogeo...
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Published in: | Geoscientific Model Development 2020-08, Vol.13 (8), p.3553-3569 |
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description | Surface water quality along river corridors can be modulated by hyporheic zones (HZs) that are ubiquitous and biogeochemically active. Watershed management practices often ignore the potentially important role of HZs as a natural reactor. To investigate the effect of hydrological exchange and biogeochemical processes on the fate of nutrients in surface water and HZs, a novel model, SWAT-MRMT-R, was developed coupling the Soil and Water Assessment Tool (SWAT) watershed model and the reaction module from a flow and reactive transport code (PFLOTRAN). SWAT-MRMT-R simulates concurrent nonlinear multicomponent biogeochemical reactions in both the channel water and its surrounding HZs, connecting the channel water and HZs through hyporheic exchanges using multirate mass transfer (MRMT) representation. Within the model, HZs are conceptualized as transient storage zones with distinguished exchange rates and residence times. The biogeochemical processes within HZs are different from those in the channel water. Hyporheic exchanges are modeled as multiple first-order mass transfers between the channel water and HZs. As a numerical example, SWAT-MRMT-R is applied to the Hanford Reach of the Columbia River, a large river in the United States, focusing on nitrate dynamics in the channel water. Major nitrate contaminants entering the Hanford Reach include those from the legacy waste, irrigation return flows (irrigation water that is not consumed by crops and runs off as point sources to the stream), and groundwater seepage resulting from irrigated agriculture. A two-step reaction sequence for denitrification and an aerobic respiration reaction is assumed to represent the biogeochemical transformations taking place within the HZs. The spatially variable hyporheic exchange rates and residence times in this example are estimated with the basin-scale Networks with EXchange and Subsurface Storage (NEXSS) model. Our simulation results show that (1), given a residence time distribution, how the exchange fluxes to HZs are approximated when using MRMT can significantly change the amount of nitrate consumption in HZs through denitrification and (2) source locations of nitrate have a different impact on surface water quality due to the spatially variable hyporheic exchanges. |
doi_str_mv | 10.5194/gmd-13-3553-2020 |
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(SNL-NM), Albuquerque, NM (United States)</creatorcontrib><description>Surface water quality along river corridors can be modulated by hyporheic zones (HZs) that are ubiquitous and biogeochemically active. Watershed management practices often ignore the potentially important role of HZs as a natural reactor. To investigate the effect of hydrological exchange and biogeochemical processes on the fate of nutrients in surface water and HZs, a novel model, SWAT-MRMT-R, was developed coupling the Soil and Water Assessment Tool (SWAT) watershed model and the reaction module from a flow and reactive transport code (PFLOTRAN). SWAT-MRMT-R simulates concurrent nonlinear multicomponent biogeochemical reactions in both the channel water and its surrounding HZs, connecting the channel water and HZs through hyporheic exchanges using multirate mass transfer (MRMT) representation. Within the model, HZs are conceptualized as transient storage zones with distinguished exchange rates and residence times. The biogeochemical processes within HZs are different from those in the channel water. Hyporheic exchanges are modeled as multiple first-order mass transfers between the channel water and HZs. As a numerical example, SWAT-MRMT-R is applied to the Hanford Reach of the Columbia River, a large river in the United States, focusing on nitrate dynamics in the channel water. Major nitrate contaminants entering the Hanford Reach include those from the legacy waste, irrigation return flows (irrigation water that is not consumed by crops and runs off as point sources to the stream), and groundwater seepage resulting from irrigated agriculture. A two-step reaction sequence for denitrification and an aerobic respiration reaction is assumed to represent the biogeochemical transformations taking place within the HZs. The spatially variable hyporheic exchange rates and residence times in this example are estimated with the basin-scale Networks with EXchange and Subsurface Storage (NEXSS) model. Our simulation results show that (1), given a residence time distribution, how the exchange fluxes to HZs are approximated when using MRMT can significantly change the amount of nitrate consumption in HZs through denitrification and (2) source locations of nitrate have a different impact on surface water quality due to the spatially variable hyporheic exchanges.</description><identifier>ISSN: 1991-9603</identifier><identifier>ISSN: 1991-959X</identifier><identifier>ISSN: 1991-962X</identifier><identifier>EISSN: 1991-9603</identifier><identifier>EISSN: 1991-962X</identifier><identifier>DOI: 10.5194/gmd-13-3553-2020</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Aerobic respiration ; Agricultural management ; Agriculture ; Analysis ; Biogeochemistry ; Computer simulation ; Connecting ; Contaminants ; Creeks & streams ; Denitrification ; Environmental management ; Fluxes ; Foreign exchange rates ; GEOSCIENCES ; Groundwater ; Groundwater irrigation ; Hydrologic models ; Hydrology ; Hyporheic zone ; Hyporheic zones ; Irrigation ; Irrigation water ; Mass transfer ; Nitrates ; Nutrients ; Residence time ; Residence time distribution ; Return flow ; Rivers ; Scale models ; Seepage ; Soil ; Soil contamination ; Soil water ; Storage ; Stream water ; Surface water ; Surface water quality ; Transportation corridors ; Water pollution ; Water quality ; Water resources ; Watershed management</subject><ispartof>Geoscientific Model Development, 2020-08, Vol.13 (8), p.3553-3569</ispartof><rights>COPYRIGHT 2020 Copernicus GmbH</rights><rights>2020. 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(SNL-NM), Albuquerque, NM (United States)</creatorcontrib><title>A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0)</title><title>Geoscientific Model Development</title><description>Surface water quality along river corridors can be modulated by hyporheic zones (HZs) that are ubiquitous and biogeochemically active. Watershed management practices often ignore the potentially important role of HZs as a natural reactor. To investigate the effect of hydrological exchange and biogeochemical processes on the fate of nutrients in surface water and HZs, a novel model, SWAT-MRMT-R, was developed coupling the Soil and Water Assessment Tool (SWAT) watershed model and the reaction module from a flow and reactive transport code (PFLOTRAN). SWAT-MRMT-R simulates concurrent nonlinear multicomponent biogeochemical reactions in both the channel water and its surrounding HZs, connecting the channel water and HZs through hyporheic exchanges using multirate mass transfer (MRMT) representation. Within the model, HZs are conceptualized as transient storage zones with distinguished exchange rates and residence times. The biogeochemical processes within HZs are different from those in the channel water. Hyporheic exchanges are modeled as multiple first-order mass transfers between the channel water and HZs. As a numerical example, SWAT-MRMT-R is applied to the Hanford Reach of the Columbia River, a large river in the United States, focusing on nitrate dynamics in the channel water. Major nitrate contaminants entering the Hanford Reach include those from the legacy waste, irrigation return flows (irrigation water that is not consumed by crops and runs off as point sources to the stream), and groundwater seepage resulting from irrigated agriculture. A two-step reaction sequence for denitrification and an aerobic respiration reaction is assumed to represent the biogeochemical transformations taking place within the HZs. The spatially variable hyporheic exchange rates and residence times in this example are estimated with the basin-scale Networks with EXchange and Subsurface Storage (NEXSS) model. Our simulation results show that (1), given a residence time distribution, how the exchange fluxes to HZs are approximated when using MRMT can significantly change the amount of nitrate consumption in HZs through denitrification and (2) source locations of nitrate have a different impact on surface water quality due to the spatially variable hyporheic exchanges.</description><subject>Aerobic respiration</subject><subject>Agricultural management</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Biogeochemistry</subject><subject>Computer simulation</subject><subject>Connecting</subject><subject>Contaminants</subject><subject>Creeks & streams</subject><subject>Denitrification</subject><subject>Environmental management</subject><subject>Fluxes</subject><subject>Foreign exchange rates</subject><subject>GEOSCIENCES</subject><subject>Groundwater</subject><subject>Groundwater irrigation</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Hyporheic zone</subject><subject>Hyporheic zones</subject><subject>Irrigation</subject><subject>Irrigation water</subject><subject>Mass transfer</subject><subject>Nitrates</subject><subject>Nutrients</subject><subject>Residence time</subject><subject>Residence time distribution</subject><subject>Return flow</subject><subject>Rivers</subject><subject>Scale models</subject><subject>Seepage</subject><subject>Soil</subject><subject>Soil contamination</subject><subject>Soil water</subject><subject>Storage</subject><subject>Stream water</subject><subject>Surface water</subject><subject>Surface water quality</subject><subject>Transportation corridors</subject><subject>Water pollution</subject><subject>Water quality</subject><subject>Water resources</subject><subject>Watershed management</subject><issn>1991-9603</issn><issn>1991-959X</issn><issn>1991-962X</issn><issn>1991-9603</issn><issn>1991-962X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkk2LUzEUhi-i4Fjduwy6cRa3Jje5SbMsgx-FGYROxWXIx7ltSm9Sk5Rx_Dv-UdOpjBYki4TDc97DefM2zWuCpz2R7P16dC2hLe172na4w0-aCyIlaSXH9Ok_7-fNi5y3GHMpuLhofs3ReNgVn3QBNOqcUUk65AESGqODHSoRJdgnyBAKKhtAPhRI2hYfA4rDqdvGcR_DkTA-riHaDYze6h3ap2ghZ8jIQLkDCCgf0qAtoLs6MCEdHNrc72PagLfoZ9XI6N3tt_mqvVnerNolIlN8-bJ5Nuhdhld_7knz9eOH1dXn9vrLp8XV_Lq1PRal7a1kEpvOdMIIbDCRhAsMupd45gbCuXMUuBwM5cJ2hMx4h6mxglDemZnmdNIsTrou6q3aJz_qdK-i9uqhENNa6VSX3YEiFLChHWPYaQbAtdbOCceAmY6wqjtp3py0Yi5eZesL2I2NIYAtinDGZ1JU6O0JqjZ9P0AuahsPKdQdVccoln3PJP9LrXWd7MMQ6xfZ0Wer5pySmZCU9pWa_oeqxx2_oho7-Fo_a7g8a6hMgR9lrQ85q8Xt8pzFJ9ammHOC4dEdgtUxfqrGr5qijvFTx_jR3_ngzBc</recordid><startdate>20200807</startdate><enddate>20200807</enddate><creator>Fang, Yilin</creator><creator>Chen, Xingyuan</creator><creator>Gomez Velez, Jesus</creator><creator>Zhang, Xuesong</creator><creator>Duan, Zhuoran</creator><creator>Hammond, Glenn E</creator><creator>Goldman, Amy E</creator><creator>Garayburu-Caruso, Vanessa A</creator><creator>Graham, Emily B</creator><general>Copernicus GmbH</general><general>European Geosciences Union</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>OTOTI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1969-9889</orcidid><orcidid>https://orcid.org/0000-0003-1928-5555</orcidid><orcidid>https://orcid.org/0000-0003-0490-6451</orcidid><orcidid>https://orcid.org/0000-0003-4711-7751</orcidid><orcidid>https://orcid.org/0000-0001-8045-5926</orcidid><orcidid>https://orcid.org/0000-0002-6903-2807</orcidid><orcidid>https://orcid.org/0000-0002-4623-7076</orcidid><orcidid>https://orcid.org/0000000347117751</orcidid><orcidid>https://orcid.org/0000000304906451</orcidid><orcidid>https://orcid.org/0000000319285555</orcidid><orcidid>https://orcid.org/0000000319699889</orcidid><orcidid>https://orcid.org/0000000246237076</orcidid><orcidid>https://orcid.org/0000000269032807</orcidid><orcidid>https://orcid.org/0000000180455926</orcidid></search><sort><creationdate>20200807</creationdate><title>A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0)</title><author>Fang, Yilin ; Chen, Xingyuan ; Gomez Velez, Jesus ; Zhang, Xuesong ; Duan, Zhuoran ; Hammond, Glenn E ; Goldman, Amy E ; Garayburu-Caruso, Vanessa A ; Graham, Emily B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-5c9490b2b27b70b0191670ea5908df166dd3e69fb367c21186203bc71362b8a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aerobic respiration</topic><topic>Agricultural management</topic><topic>Agriculture</topic><topic>Analysis</topic><topic>Biogeochemistry</topic><topic>Computer simulation</topic><topic>Connecting</topic><topic>Contaminants</topic><topic>Creeks & streams</topic><topic>Denitrification</topic><topic>Environmental management</topic><topic>Fluxes</topic><topic>Foreign exchange rates</topic><topic>GEOSCIENCES</topic><topic>Groundwater</topic><topic>Groundwater irrigation</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Hyporheic zone</topic><topic>Hyporheic zones</topic><topic>Irrigation</topic><topic>Irrigation water</topic><topic>Mass transfer</topic><topic>Nitrates</topic><topic>Nutrients</topic><topic>Residence time</topic><topic>Residence time distribution</topic><topic>Return flow</topic><topic>Rivers</topic><topic>Scale models</topic><topic>Seepage</topic><topic>Soil</topic><topic>Soil contamination</topic><topic>Soil water</topic><topic>Storage</topic><topic>Stream water</topic><topic>Surface water</topic><topic>Surface water quality</topic><topic>Transportation corridors</topic><topic>Water pollution</topic><topic>Water quality</topic><topic>Water resources</topic><topic>Watershed management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Yilin</creatorcontrib><creatorcontrib>Chen, Xingyuan</creatorcontrib><creatorcontrib>Gomez Velez, Jesus</creatorcontrib><creatorcontrib>Zhang, Xuesong</creatorcontrib><creatorcontrib>Duan, Zhuoran</creatorcontrib><creatorcontrib>Hammond, Glenn E</creatorcontrib><creatorcontrib>Goldman, Amy E</creatorcontrib><creatorcontrib>Garayburu-Caruso, Vanessa A</creatorcontrib><creatorcontrib>Graham, Emily B</creatorcontrib><creatorcontrib>Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)</creatorcontrib><creatorcontrib>Sandia National Lab. 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(SNL-NM), Albuquerque, NM (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0)</atitle><jtitle>Geoscientific Model Development</jtitle><date>2020-08-07</date><risdate>2020</risdate><volume>13</volume><issue>8</issue><spage>3553</spage><epage>3569</epage><pages>3553-3569</pages><issn>1991-9603</issn><issn>1991-959X</issn><issn>1991-962X</issn><eissn>1991-9603</eissn><eissn>1991-962X</eissn><abstract>Surface water quality along river corridors can be modulated by hyporheic zones (HZs) that are ubiquitous and biogeochemically active. Watershed management practices often ignore the potentially important role of HZs as a natural reactor. To investigate the effect of hydrological exchange and biogeochemical processes on the fate of nutrients in surface water and HZs, a novel model, SWAT-MRMT-R, was developed coupling the Soil and Water Assessment Tool (SWAT) watershed model and the reaction module from a flow and reactive transport code (PFLOTRAN). SWAT-MRMT-R simulates concurrent nonlinear multicomponent biogeochemical reactions in both the channel water and its surrounding HZs, connecting the channel water and HZs through hyporheic exchanges using multirate mass transfer (MRMT) representation. Within the model, HZs are conceptualized as transient storage zones with distinguished exchange rates and residence times. The biogeochemical processes within HZs are different from those in the channel water. Hyporheic exchanges are modeled as multiple first-order mass transfers between the channel water and HZs. As a numerical example, SWAT-MRMT-R is applied to the Hanford Reach of the Columbia River, a large river in the United States, focusing on nitrate dynamics in the channel water. Major nitrate contaminants entering the Hanford Reach include those from the legacy waste, irrigation return flows (irrigation water that is not consumed by crops and runs off as point sources to the stream), and groundwater seepage resulting from irrigated agriculture. A two-step reaction sequence for denitrification and an aerobic respiration reaction is assumed to represent the biogeochemical transformations taking place within the HZs. The spatially variable hyporheic exchange rates and residence times in this example are estimated with the basin-scale Networks with EXchange and Subsurface Storage (NEXSS) model. Our simulation results show that (1), given a residence time distribution, how the exchange fluxes to HZs are approximated when using MRMT can significantly change the amount of nitrate consumption in HZs through denitrification and (2) source locations of nitrate have a different impact on surface water quality due to the spatially variable hyporheic exchanges.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/gmd-13-3553-2020</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-1969-9889</orcidid><orcidid>https://orcid.org/0000-0003-1928-5555</orcidid><orcidid>https://orcid.org/0000-0003-0490-6451</orcidid><orcidid>https://orcid.org/0000-0003-4711-7751</orcidid><orcidid>https://orcid.org/0000-0001-8045-5926</orcidid><orcidid>https://orcid.org/0000-0002-6903-2807</orcidid><orcidid>https://orcid.org/0000-0002-4623-7076</orcidid><orcidid>https://orcid.org/0000000347117751</orcidid><orcidid>https://orcid.org/0000000304906451</orcidid><orcidid>https://orcid.org/0000000319285555</orcidid><orcidid>https://orcid.org/0000000319699889</orcidid><orcidid>https://orcid.org/0000000246237076</orcidid><orcidid>https://orcid.org/0000000269032807</orcidid><orcidid>https://orcid.org/0000000180455926</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1991-9603 |
ispartof | Geoscientific Model Development, 2020-08, Vol.13 (8), p.3553-3569 |
issn | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X |
language | eng |
recordid | cdi_proquest_journals_2430955496 |
source | Publicly Available Content Database |
subjects | Aerobic respiration Agricultural management Agriculture Analysis Biogeochemistry Computer simulation Connecting Contaminants Creeks & streams Denitrification Environmental management Fluxes Foreign exchange rates GEOSCIENCES Groundwater Groundwater irrigation Hydrologic models Hydrology Hyporheic zone Hyporheic zones Irrigation Irrigation water Mass transfer Nitrates Nutrients Residence time Residence time distribution Return flow Rivers Scale models Seepage Soil Soil contamination Soil water Storage Stream water Surface water Surface water quality Transportation corridors Water pollution Water quality Water resources Watershed management |
title | A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0) |
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