The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics
Large‐scale land models assume unidirectional land‐to‐river hydrological interactions, without considering feedbacks between channels and land. Using a tested, physically based model with explicit multiway interactions between overland, channel, wetland, and groundwater flows, we assessed how the re...
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Veröffentlicht in: | Water resources research 2016-02, Vol.52 (2), p.880-902 |
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description | Large‐scale land models assume unidirectional land‐to‐river hydrological interactions, without considering feedbacks between channels and land. Using a tested, physically based model with explicit multiway interactions between overland, channel, wetland, and groundwater flows, we assessed how the representation and properties of channels influence simulated land surface hydrologic, biogeochemical, and ecosystem dynamics. A zone near the channels where various fluxes and states are significantly influenced by the channels, referred to as the fan of influence (FoI) of channels, has been identified. We elucidated two mechanisms inducing the model‐derived FoI: the base flow mechanism, in which incised, gaining streams lower the water table and induce more base flow, and the relatively more efficient conveyance of the channel network compared to overland flow. We systematically varied drainage density and grid resolution to quantify the size of the FoI, which is found to span a large fraction of the watershed (25–50%) for hydrologic variables including depth to water table and recharge, etc. The FoI is more pronounced with low‐resolution simulations but remains noticeable in hyperresolution (25 m) subbasin simulations. The FoI and the channel influence on basin‐average fluxes are also similar in simulations with alternative parameter sets. We found that high‐order, entrenched streams cause larger FoI. In addition, removing the simulated channels has disproportionally large influence on modeled wetland areas and inundation duration, which has implications for coupled biogeochemical or ecological modeling. Our results suggest that explicit channel representation provides important feedbacks to land surface dynamics which should be considered in meso or large‐scale simulations. Since grid refinement incurs prohibitive computational cost, subgrid channel parameterization has advantages in efficiency over grid‐based representations that do not distinguish between overland flow and channel flow.
Key Points:
Channels provide important feedbacks to land surface dynamics
The influence is disproportionally large on wetlands and riparian zones
Explicit representation of channels has advantages in efficiency |
doi_str_mv | 10.1002/2015WR018086 |
format | Article |
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Key Points:
Channels provide important feedbacks to land surface dynamics
The influence is disproportionally large on wetlands and riparian zones
Explicit representation of channels has advantages in efficiency</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1002/2015WR018086</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Base flow ; Biogeochemistry ; Channel flow ; channel‐land interaction ; Community Land Model ; Drainage density ; Ecological models ; Ecosystem dynamics ; Effluent streams ; fan of influence of streams ; GEOSCIENCES ; Groundwater flow ; Groundwater recharge ; Overland flow ; River ecology ; Simulation ; Surface water ; Water depth ; Water table ; Wetlands ; wetlands inundation duration</subject><ispartof>Water resources research, 2016-02, Vol.52 (2), p.880-902</ispartof><rights>2016. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5649-b67776ad15a4994bf733bdd19d786e5551348be54077e6973ac7daad8ab9d54b3</citedby><cites>FETCH-LOGICAL-a5649-b67776ad15a4994bf733bdd19d786e5551348be54077e6973ac7daad8ab9d54b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2015WR018086$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2015WR018086$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,11493,27901,27902,45550,45551,46443,46867</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1474915$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Chaopeng</creatorcontrib><creatorcontrib>Riley, William J.</creatorcontrib><creatorcontrib>Smithgall, Kurt R.</creatorcontrib><creatorcontrib>Melack, John M.</creatorcontrib><creatorcontrib>Fang, Kuai</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><title>The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics</title><title>Water resources research</title><description>Large‐scale land models assume unidirectional land‐to‐river hydrological interactions, without considering feedbacks between channels and land. Using a tested, physically based model with explicit multiway interactions between overland, channel, wetland, and groundwater flows, we assessed how the representation and properties of channels influence simulated land surface hydrologic, biogeochemical, and ecosystem dynamics. A zone near the channels where various fluxes and states are significantly influenced by the channels, referred to as the fan of influence (FoI) of channels, has been identified. We elucidated two mechanisms inducing the model‐derived FoI: the base flow mechanism, in which incised, gaining streams lower the water table and induce more base flow, and the relatively more efficient conveyance of the channel network compared to overland flow. We systematically varied drainage density and grid resolution to quantify the size of the FoI, which is found to span a large fraction of the watershed (25–50%) for hydrologic variables including depth to water table and recharge, etc. The FoI is more pronounced with low‐resolution simulations but remains noticeable in hyperresolution (25 m) subbasin simulations. The FoI and the channel influence on basin‐average fluxes are also similar in simulations with alternative parameter sets. We found that high‐order, entrenched streams cause larger FoI. In addition, removing the simulated channels has disproportionally large influence on modeled wetland areas and inundation duration, which has implications for coupled biogeochemical or ecological modeling. Our results suggest that explicit channel representation provides important feedbacks to land surface dynamics which should be considered in meso or large‐scale simulations. Since grid refinement incurs prohibitive computational cost, subgrid channel parameterization has advantages in efficiency over grid‐based representations that do not distinguish between overland flow and channel flow.
Key Points:
Channels provide important feedbacks to land surface dynamics
The influence is disproportionally large on wetlands and riparian zones
Explicit representation of channels has advantages in efficiency</description><subject>Base flow</subject><subject>Biogeochemistry</subject><subject>Channel flow</subject><subject>channel‐land interaction</subject><subject>Community Land Model</subject><subject>Drainage density</subject><subject>Ecological models</subject><subject>Ecosystem dynamics</subject><subject>Effluent streams</subject><subject>fan of influence of streams</subject><subject>GEOSCIENCES</subject><subject>Groundwater flow</subject><subject>Groundwater recharge</subject><subject>Overland flow</subject><subject>River ecology</subject><subject>Simulation</subject><subject>Surface water</subject><subject>Water depth</subject><subject>Water table</subject><subject>Wetlands</subject><subject>wetlands inundation duration</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp90U1r3DAQBmBTGug2yS0_QLSXHupWsiRLOpYl_YBAYUnJUYylMavUllLJJuy_rxb3UHroaZjhmYGXaZobRj8wSruPHWXy4UCZprp_0eyYEaJVRvGXzY5SwVvGjXrVvC7lkVImZK92Tbg_IhkhkjSSEMdpxejw3JQlI8yFQPTEHSFGnMiI6AdwPwtZEilhXidY0JPpbMqaR6irz3WUty3IQ4rEnyLMwZWr5mKEqeD1n3rZ_Ph8e7__2t59__Jt_-muBdkL0w69UqoHzyQIY8QwKs4H75nxSvcopWRc6AGloEphX8OBUx7AaxiMl2Lgl82b7W4qS7DFhQXd0aUawC2WCSUMkxW929BTTr9WLIudQ3E41SiY1mKZ0lSyvtNn-vYf-pjWHGuEqpRQstMdq-r9plxOpWQc7VMOM-STZdSen2P_fk7lfOPPYcLTf619OOwPHdPK8N8kyo9y</recordid><startdate>201602</startdate><enddate>201602</enddate><creator>Shen, Chaopeng</creator><creator>Riley, William J.</creator><creator>Smithgall, Kurt R.</creator><creator>Melack, John M.</creator><creator>Fang, Kuai</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>OIOZB</scope><scope>OTOTI</scope></search><sort><creationdate>201602</creationdate><title>The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics</title><author>Shen, Chaopeng ; Riley, William J. ; Smithgall, Kurt R. ; Melack, John M. ; Fang, Kuai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5649-b67776ad15a4994bf733bdd19d786e5551348be54077e6973ac7daad8ab9d54b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Base flow</topic><topic>Biogeochemistry</topic><topic>Channel flow</topic><topic>channel‐land interaction</topic><topic>Community Land Model</topic><topic>Drainage density</topic><topic>Ecological models</topic><topic>Ecosystem dynamics</topic><topic>Effluent streams</topic><topic>fan of influence of streams</topic><topic>GEOSCIENCES</topic><topic>Groundwater flow</topic><topic>Groundwater recharge</topic><topic>Overland flow</topic><topic>River ecology</topic><topic>Simulation</topic><topic>Surface water</topic><topic>Water depth</topic><topic>Water table</topic><topic>Wetlands</topic><topic>wetlands inundation duration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Chaopeng</creatorcontrib><creatorcontrib>Riley, William J.</creatorcontrib><creatorcontrib>Smithgall, Kurt R.</creatorcontrib><creatorcontrib>Melack, John M.</creatorcontrib><creatorcontrib>Fang, Kuai</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</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 - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Chaopeng</au><au>Riley, William J.</au><au>Smithgall, Kurt R.</au><au>Melack, John M.</au><au>Fang, Kuai</au><aucorp>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics</atitle><jtitle>Water resources research</jtitle><date>2016-02</date><risdate>2016</risdate><volume>52</volume><issue>2</issue><spage>880</spage><epage>902</epage><pages>880-902</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>Large‐scale land models assume unidirectional land‐to‐river hydrological interactions, without considering feedbacks between channels and land. Using a tested, physically based model with explicit multiway interactions between overland, channel, wetland, and groundwater flows, we assessed how the representation and properties of channels influence simulated land surface hydrologic, biogeochemical, and ecosystem dynamics. A zone near the channels where various fluxes and states are significantly influenced by the channels, referred to as the fan of influence (FoI) of channels, has been identified. We elucidated two mechanisms inducing the model‐derived FoI: the base flow mechanism, in which incised, gaining streams lower the water table and induce more base flow, and the relatively more efficient conveyance of the channel network compared to overland flow. We systematically varied drainage density and grid resolution to quantify the size of the FoI, which is found to span a large fraction of the watershed (25–50%) for hydrologic variables including depth to water table and recharge, etc. The FoI is more pronounced with low‐resolution simulations but remains noticeable in hyperresolution (25 m) subbasin simulations. The FoI and the channel influence on basin‐average fluxes are also similar in simulations with alternative parameter sets. We found that high‐order, entrenched streams cause larger FoI. In addition, removing the simulated channels has disproportionally large influence on modeled wetland areas and inundation duration, which has implications for coupled biogeochemical or ecological modeling. Our results suggest that explicit channel representation provides important feedbacks to land surface dynamics which should be considered in meso or large‐scale simulations. Since grid refinement incurs prohibitive computational cost, subgrid channel parameterization has advantages in efficiency over grid‐based representations that do not distinguish between overland flow and channel flow.
Key Points:
Channels provide important feedbacks to land surface dynamics
The influence is disproportionally large on wetlands and riparian zones
Explicit representation of channels has advantages in efficiency</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/2015WR018086</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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source | Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals |
subjects | Base flow Biogeochemistry Channel flow channel‐land interaction Community Land Model Drainage density Ecological models Ecosystem dynamics Effluent streams fan of influence of streams GEOSCIENCES Groundwater flow Groundwater recharge Overland flow River ecology Simulation Surface water Water depth Water table Wetlands wetlands inundation duration |
title | The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics |
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