Effects of channel morphology on nitrate retention in a headwater agricultural stream in Lake Chaohu Basin, China
Five field tracer experiments and relevant detailed investigations of physical characterizations were conducted to investigate the effects of channel geomorphic settings on nitrate uptake efficiency on a 310-m long geomorphically distinct stream reach in a headwater agricultural stream in Hefei Dist...
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| Veröffentlicht in: | Environmental science and pollution research international 2019-04, Vol.26 (11), p.10651-10661 |
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| creator | Li, Ruzhong Xu, Daqiang Yin, Qihe |
| description | Five field tracer experiments and relevant detailed investigations of physical characterizations were conducted to investigate the effects of channel geomorphic settings on nitrate uptake efficiency on a 310-m long geomorphically distinct stream reach in a headwater agricultural stream in Hefei District, Lake Chaohu Basin. The model-fitted parameters from the one-dimensional transport with inflow and storage model were used to estimate the transient storage metric (
F
med
200
) and determine the total nitrate uptake coefficient (
k
) for the study reach. And then, a nutrient spiraling approach was applied to reach-scale nitrate uptake estimates (
S
w
,
V
f
, and
U
). The results showed that the main channel was the major contributor to nitrate uptake retention, and the higher geomorphic complexity might result in better nitrate uptake efficiency. The partial least squares regression (PLSR) analysis showed strong correlations between the independent variables as geomorphic settings, Reynolds number and transient storage, and the dependent variables as nitrate uptake metrics, which further underscored the importance of stream physical characteristics on measurement of stream nitrate uptake. |
| doi_str_mv | 10.1007/s11356-019-04484-9 |
| format | Article |
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F
med
200
) and determine the total nitrate uptake coefficient (
k
) for the study reach. And then, a nutrient spiraling approach was applied to reach-scale nitrate uptake estimates (
S
w
,
V
f
, and
U
). The results showed that the main channel was the major contributor to nitrate uptake retention, and the higher geomorphic complexity might result in better nitrate uptake efficiency. The partial least squares regression (PLSR) analysis showed strong correlations between the independent variables as geomorphic settings, Reynolds number and transient storage, and the dependent variables as nitrate uptake metrics, which further underscored the importance of stream physical characteristics on measurement of stream nitrate uptake.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-019-04484-9</identifier><identifier>PMID: 30771128</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Channel morphology ; Correlation analysis ; Cotton ; Dependent variables ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Fluid flow ; Geomorphology ; Independent variables ; Inflow ; Lakes ; Mathematical models ; Nitrates ; Physical characteristics ; Physical properties ; Regression analysis ; Research Article ; Retention ; Reynolds number ; Waste Water Technology ; Water inflow ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2019-04, Vol.26 (11), p.10651-10661</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-3677813f43b2ae4b5b78ced7e2ed5ad02374dc5fc5cbf97b827fe49d5ba6d4bd3</citedby><cites>FETCH-LOGICAL-c412t-3677813f43b2ae4b5b78ced7e2ed5ad02374dc5fc5cbf97b827fe49d5ba6d4bd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-019-04484-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-019-04484-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30771128$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Ruzhong</creatorcontrib><creatorcontrib>Xu, Daqiang</creatorcontrib><creatorcontrib>Yin, Qihe</creatorcontrib><title>Effects of channel morphology on nitrate retention in a headwater agricultural stream in Lake Chaohu Basin, China</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Five field tracer experiments and relevant detailed investigations of physical characterizations were conducted to investigate the effects of channel geomorphic settings on nitrate uptake efficiency on a 310-m long geomorphically distinct stream reach in a headwater agricultural stream in Hefei District, Lake Chaohu Basin. The model-fitted parameters from the one-dimensional transport with inflow and storage model were used to estimate the transient storage metric (
F
med
200
) and determine the total nitrate uptake coefficient (
k
) for the study reach. And then, a nutrient spiraling approach was applied to reach-scale nitrate uptake estimates (
S
w
,
V
f
, and
U
). The results showed that the main channel was the major contributor to nitrate uptake retention, and the higher geomorphic complexity might result in better nitrate uptake efficiency. The partial least squares regression (PLSR) analysis showed strong correlations between the independent variables as geomorphic settings, Reynolds number and transient storage, and the dependent variables as nitrate uptake metrics, which further underscored the importance of stream physical characteristics on measurement of stream nitrate uptake.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Channel morphology</subject><subject>Correlation analysis</subject><subject>Cotton</subject><subject>Dependent variables</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Fluid flow</subject><subject>Geomorphology</subject><subject>Independent variables</subject><subject>Inflow</subject><subject>Lakes</subject><subject>Mathematical models</subject><subject>Nitrates</subject><subject>Physical characteristics</subject><subject>Physical properties</subject><subject>Regression analysis</subject><subject>Research Article</subject><subject>Retention</subject><subject>Reynolds number</subject><subject>Waste Water Technology</subject><subject>Water inflow</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1v1DAQhq0K1C5t_wAHZIlLDwT8lTg-wqoFpJW40LPl2ONNSmJvbUeo_x6XbUHiwMnyzDOvrXkQek3Je0qI_JAp5W3XEKoaIkQvGnWCNrSjopFCqRdoQ5QQDeVCnKFXOd8Rwohi8hSdcSIlpazfoPtr78GWjKPHdjQhwIyXmA5jnOP-AceAw1SSKYATFAhlqpUpYINHMO5nrSds9mmy61zWZGacSwKzPCI78wPwdjRxXPEnk6fwrt6mYC7QS2_mDJdP5zm6vbn-vv3S7L59_rr9uGusoKw0vJOyp9wLPjADYmgH2VtwEhi41jjCuBTOtt62dvBKDj2THoRy7WA6JwbHz9HVMfeQ4v0Kuehlyhbm2QSIa9asLkMpSVVX0bf_oHdxTaH-TjPaUymVaEml2JGyKeacwOtDmhaTHjQl-lGIPgrRVYj-LUSrOvTmKXodFnB_Rp4NVIAfgVxbYQ_p79v_if0FqamXPQ</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Li, Ruzhong</creator><creator>Xu, Daqiang</creator><creator>Yin, 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of channel morphology on nitrate retention in a headwater agricultural stream in Lake Chaohu Basin, China</title><author>Li, Ruzhong ; Xu, Daqiang ; Yin, Qihe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-3677813f43b2ae4b5b78ced7e2ed5ad02374dc5fc5cbf97b827fe49d5ba6d4bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Channel morphology</topic><topic>Correlation analysis</topic><topic>Cotton</topic><topic>Dependent variables</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental science</topic><topic>Fluid flow</topic><topic>Geomorphology</topic><topic>Independent variables</topic><topic>Inflow</topic><topic>Lakes</topic><topic>Mathematical models</topic><topic>Nitrates</topic><topic>Physical characteristics</topic><topic>Physical properties</topic><topic>Regression analysis</topic><topic>Research Article</topic><topic>Retention</topic><topic>Reynolds number</topic><topic>Waste Water Technology</topic><topic>Water inflow</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Ruzhong</creatorcontrib><creatorcontrib>Xu, Daqiang</creatorcontrib><creatorcontrib>Yin, Qihe</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution 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science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Ruzhong</au><au>Xu, Daqiang</au><au>Yin, Qihe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of channel morphology on nitrate retention in a headwater agricultural stream in Lake Chaohu Basin, China</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>26</volume><issue>11</issue><spage>10651</spage><epage>10661</epage><pages>10651-10661</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Five field tracer experiments and relevant detailed investigations of physical characterizations were conducted to investigate the effects of channel geomorphic settings on nitrate uptake efficiency on a 310-m long geomorphically distinct stream reach in a headwater agricultural stream in Hefei District, Lake Chaohu Basin. The model-fitted parameters from the one-dimensional transport with inflow and storage model were used to estimate the transient storage metric (
F
med
200
) and determine the total nitrate uptake coefficient (
k
) for the study reach. And then, a nutrient spiraling approach was applied to reach-scale nitrate uptake estimates (
S
w
,
V
f
, and
U
). The results showed that the main channel was the major contributor to nitrate uptake retention, and the higher geomorphic complexity might result in better nitrate uptake efficiency. The partial least squares regression (PLSR) analysis showed strong correlations between the independent variables as geomorphic settings, Reynolds number and transient storage, and the dependent variables as nitrate uptake metrics, which further underscored the importance of stream physical characteristics on measurement of stream nitrate uptake.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30771128</pmid><doi>10.1007/s11356-019-04484-9</doi><tpages>11</tpages></addata></record> |
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| source | SpringerNature Journals |
| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Channel morphology Correlation analysis Cotton Dependent variables Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental science Fluid flow Geomorphology Independent variables Inflow Lakes Mathematical models Nitrates Physical characteristics Physical properties Regression analysis Research Article Retention Reynolds number Waste Water Technology Water inflow Water Management Water Pollution Control |
| title | Effects of channel morphology on nitrate retention in a headwater agricultural stream in Lake Chaohu Basin, China |
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