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Evaluating the SWAT model to predict streamflow, nitrate loadings and crop yields in a small agricultural catchment
This study aimed to evaluate the applicability of the Soil and Water Assessment Tool (SWAT) to predict streamflow, nitrate loadings and crop yields for a small agricultural catchment in northeastern Germany. To this end, a 167 ha catchment was delineated consisting of 10 hydrological response units....
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| Published in: | Advances in geosciences 2019-04, Vol.48, p.1-9 |
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| creator | Bauwe, Andreas Kahle, Petra Lennartz, Bernd |
| description | This study aimed to evaluate the applicability of the Soil and Water
Assessment Tool (SWAT) to predict streamflow, nitrate loadings and crop
yields for a small agricultural catchment in northeastern Germany. To this
end, a 167 ha catchment was delineated consisting of 10 hydrological
response units. Daily data for streamflow and nitrate loadings from 2004 to
2015 were used to calibrate and validate the model, while annual values for
crop yields (winter wheat, winter barley, rapeseed, maize silage) were
available. In addition, the detailed field maps provided by the local farmer
were used to implement exact crop rotations and nitrogen fertilization into
the model. Nash-Sutcliffe-Efficiencies for streamflow were 0.54 during the
calibration and 0.57 for the validation period. The modeling performance for
nitrate loadings were lower with 0.31 for the calibration and 0.42 for the
validation period. The average crop yields were reproduced well, while SWAT
failed to reproduce the inter-annual crop yield variations. A scenario
analysis revealed that a slight decrease of nitrogen fertilization leads to
significant reductions in nitrate loadings, while crop yields remained on a
high level. The outcome of the study may help practitioners to operate
according to an economic and environmental optimal N management.
Nevertheless, experimental studies with varying fertilization intensities at
catchment scale are needed to underpin the modeling results. |
| doi_str_mv | 10.5194/adgeo-48-1-2019 |
| format | article |
| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d5b5746157ca4a7b9660dd74431cad61</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A581258646</galeid><doaj_id>oai_doaj_org_article_d5b5746157ca4a7b9660dd74431cad61</doaj_id><sourcerecordid>A581258646</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3929-a06f7dae452fbf51cef58473a315051458b623c71d4d7fb56fe9908067df2b5e3</originalsourceid><addsrcrecordid>eNptks1rFTEUxQdRsFbXbgOuBKdNMvmYWT5KrQ8Kgq24DHfyMc0jM3kmGbX_fdM-UR9IFjdcfudwk3ua5i3BZ5wM7BzMZGPL-pa0FJPhWXNCRI9b2fHh-T_3l82rnHcY04FRedLkyx8QVih-mVC5s-jm2-YWzdHYgEpE-2SN1wXlkizMLsSfH9DiS4JiUYhgqiojWAzSKe7RvbfBZOQXBCjPEAKCKXm9hrImCEhD0XezXcrr5oWDkO2b3_W0-frx8vbiU3v9-Wp7sbludTfQoQUsnDRgGadudJxo63jPZAcd4ZgTxvtR0E5LYpiRbuTC2WHAPRbSODpy250224OvibBT--RnSPcqgldPjZgmBal4HawyfOSSCcKlBgZyHITAxkjGOqLBCFK93h289il-X20uahfXtNTxFaWYSs4pxn-pCaqpX1ysf6Vnn7Xa8J5Q3gsmKnX2H6oeY2ev42Kdr_0jwfsjQWWK_VUmWHNW25svx-z5ga0ryTlZ9-fhBKvHoKinoCjWK6Ieg9I9AHCur6U</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2202755200</pqid></control><display><type>article</type><title>Evaluating the SWAT model to predict streamflow, nitrate loadings and crop yields in a small agricultural catchment</title><source>Publicly Available Content (ProQuest)</source><creator>Bauwe, Andreas ; Kahle, Petra ; Lennartz, Bernd</creator><creatorcontrib>Bauwe, Andreas ; Kahle, Petra ; Lennartz, Bernd</creatorcontrib><description>This study aimed to evaluate the applicability of the Soil and Water
Assessment Tool (SWAT) to predict streamflow, nitrate loadings and crop
yields for a small agricultural catchment in northeastern Germany. To this
end, a 167 ha catchment was delineated consisting of 10 hydrological
response units. Daily data for streamflow and nitrate loadings from 2004 to
2015 were used to calibrate and validate the model, while annual values for
crop yields (winter wheat, winter barley, rapeseed, maize silage) were
available. In addition, the detailed field maps provided by the local farmer
were used to implement exact crop rotations and nitrogen fertilization into
the model. Nash-Sutcliffe-Efficiencies for streamflow were 0.54 during the
calibration and 0.57 for the validation period. The modeling performance for
nitrate loadings were lower with 0.31 for the calibration and 0.42 for the
validation period. The average crop yields were reproduced well, while SWAT
failed to reproduce the inter-annual crop yield variations. A scenario
analysis revealed that a slight decrease of nitrogen fertilization leads to
significant reductions in nitrate loadings, while crop yields remained on a
high level. The outcome of the study may help practitioners to operate
according to an economic and environmental optimal N management.
Nevertheless, experimental studies with varying fertilization intensities at
catchment scale are needed to underpin the modeling results.</description><identifier>ISSN: 1680-7359</identifier><identifier>ISSN: 1680-7340</identifier><identifier>EISSN: 1680-7359</identifier><identifier>DOI: 10.5194/adgeo-48-1-2019</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Agricultural industry ; Agricultural management ; Agricultural production ; Agricultural watersheds ; Analysis ; Barley ; Biological fertilization ; Calibration ; Catchment area ; Catchment scale ; Catchments ; Cereal crops ; Corn ; Crop rotation ; Crop yield ; Crop yields ; Cropping systems ; Crops ; Economics ; Environmental aspects ; Environmental management ; Farmers ; Fertilization ; Hydraulic flow ; Hydrologic data ; Hydrologic models ; Hydrology ; Mathematical models ; Modelling ; Nitrates ; Nitrogen ; Rapeseed ; Silage ; Soil ; Soil water ; Stream discharge ; Stream flow ; Streamflow ; Wheat ; Winter wheat</subject><ispartof>Advances in geosciences, 2019-04, Vol.48, p.1-9</ispartof><rights>COPYRIGHT 2019 Copernicus GmbH</rights><rights>2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3929-a06f7dae452fbf51cef58473a315051458b623c71d4d7fb56fe9908067df2b5e3</citedby><cites>FETCH-LOGICAL-c3929-a06f7dae452fbf51cef58473a315051458b623c71d4d7fb56fe9908067df2b5e3</cites><orcidid>0000-0003-3020-7312</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2202755200/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2202755200?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,44566,74869</link.rule.ids></links><search><creatorcontrib>Bauwe, Andreas</creatorcontrib><creatorcontrib>Kahle, Petra</creatorcontrib><creatorcontrib>Lennartz, Bernd</creatorcontrib><title>Evaluating the SWAT model to predict streamflow, nitrate loadings and crop yields in a small agricultural catchment</title><title>Advances in geosciences</title><description>This study aimed to evaluate the applicability of the Soil and Water
Assessment Tool (SWAT) to predict streamflow, nitrate loadings and crop
yields for a small agricultural catchment in northeastern Germany. To this
end, a 167 ha catchment was delineated consisting of 10 hydrological
response units. Daily data for streamflow and nitrate loadings from 2004 to
2015 were used to calibrate and validate the model, while annual values for
crop yields (winter wheat, winter barley, rapeseed, maize silage) were
available. In addition, the detailed field maps provided by the local farmer
were used to implement exact crop rotations and nitrogen fertilization into
the model. Nash-Sutcliffe-Efficiencies for streamflow were 0.54 during the
calibration and 0.57 for the validation period. The modeling performance for
nitrate loadings were lower with 0.31 for the calibration and 0.42 for the
validation period. The average crop yields were reproduced well, while SWAT
failed to reproduce the inter-annual crop yield variations. A scenario
analysis revealed that a slight decrease of nitrogen fertilization leads to
significant reductions in nitrate loadings, while crop yields remained on a
high level. The outcome of the study may help practitioners to operate
according to an economic and environmental optimal N management.
Nevertheless, experimental studies with varying fertilization intensities at
catchment scale are needed to underpin the modeling results.</description><subject>Agricultural industry</subject><subject>Agricultural management</subject><subject>Agricultural production</subject><subject>Agricultural watersheds</subject><subject>Analysis</subject><subject>Barley</subject><subject>Biological fertilization</subject><subject>Calibration</subject><subject>Catchment area</subject><subject>Catchment scale</subject><subject>Catchments</subject><subject>Cereal crops</subject><subject>Corn</subject><subject>Crop rotation</subject><subject>Crop yield</subject><subject>Crop yields</subject><subject>Cropping systems</subject><subject>Crops</subject><subject>Economics</subject><subject>Environmental aspects</subject><subject>Environmental management</subject><subject>Farmers</subject><subject>Fertilization</subject><subject>Hydraulic flow</subject><subject>Hydrologic data</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Mathematical models</subject><subject>Modelling</subject><subject>Nitrates</subject><subject>Nitrogen</subject><subject>Rapeseed</subject><subject>Silage</subject><subject>Soil</subject><subject>Soil water</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Streamflow</subject><subject>Wheat</subject><subject>Winter wheat</subject><issn>1680-7359</issn><issn>1680-7340</issn><issn>1680-7359</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptks1rFTEUxQdRsFbXbgOuBKdNMvmYWT5KrQ8Kgq24DHfyMc0jM3kmGbX_fdM-UR9IFjdcfudwk3ua5i3BZ5wM7BzMZGPL-pa0FJPhWXNCRI9b2fHh-T_3l82rnHcY04FRedLkyx8QVih-mVC5s-jm2-YWzdHYgEpE-2SN1wXlkizMLsSfH9DiS4JiUYhgqiojWAzSKe7RvbfBZOQXBCjPEAKCKXm9hrImCEhD0XezXcrr5oWDkO2b3_W0-frx8vbiU3v9-Wp7sbludTfQoQUsnDRgGadudJxo63jPZAcd4ZgTxvtR0E5LYpiRbuTC2WHAPRbSODpy250224OvibBT--RnSPcqgldPjZgmBal4HawyfOSSCcKlBgZyHITAxkjGOqLBCFK93h289il-X20uahfXtNTxFaWYSs4pxn-pCaqpX1ysf6Vnn7Xa8J5Q3gsmKnX2H6oeY2ev42Kdr_0jwfsjQWWK_VUmWHNW25svx-z5ga0ryTlZ9-fhBKvHoKinoCjWK6Ieg9I9AHCur6U</recordid><startdate>20190404</startdate><enddate>20190404</enddate><creator>Bauwe, Andreas</creator><creator>Kahle, Petra</creator><creator>Lennartz, Bernd</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</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>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3020-7312</orcidid></search><sort><creationdate>20190404</creationdate><title>Evaluating the SWAT model to predict streamflow, nitrate loadings and crop yields in a small agricultural catchment</title><author>Bauwe, Andreas ; Kahle, Petra ; Lennartz, Bernd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3929-a06f7dae452fbf51cef58473a315051458b623c71d4d7fb56fe9908067df2b5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural industry</topic><topic>Agricultural management</topic><topic>Agricultural production</topic><topic>Agricultural watersheds</topic><topic>Analysis</topic><topic>Barley</topic><topic>Biological fertilization</topic><topic>Calibration</topic><topic>Catchment area</topic><topic>Catchment scale</topic><topic>Catchments</topic><topic>Cereal crops</topic><topic>Corn</topic><topic>Crop rotation</topic><topic>Crop yield</topic><topic>Crop yields</topic><topic>Cropping systems</topic><topic>Crops</topic><topic>Economics</topic><topic>Environmental aspects</topic><topic>Environmental management</topic><topic>Farmers</topic><topic>Fertilization</topic><topic>Hydraulic flow</topic><topic>Hydrologic data</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Mathematical models</topic><topic>Modelling</topic><topic>Nitrates</topic><topic>Nitrogen</topic><topic>Rapeseed</topic><topic>Silage</topic><topic>Soil</topic><topic>Soil water</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Streamflow</topic><topic>Wheat</topic><topic>Winter wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bauwe, Andreas</creatorcontrib><creatorcontrib>Kahle, Petra</creatorcontrib><creatorcontrib>Lennartz, Bernd</creatorcontrib><collection>CrossRef</collection><collection>Science (Gale in Context)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Directory of Open Access Journals</collection><jtitle>Advances in geosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bauwe, Andreas</au><au>Kahle, Petra</au><au>Lennartz, Bernd</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the SWAT model to predict streamflow, nitrate loadings and crop yields in a small agricultural catchment</atitle><jtitle>Advances in geosciences</jtitle><date>2019-04-04</date><risdate>2019</risdate><volume>48</volume><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>1680-7359</issn><issn>1680-7340</issn><eissn>1680-7359</eissn><abstract>This study aimed to evaluate the applicability of the Soil and Water
Assessment Tool (SWAT) to predict streamflow, nitrate loadings and crop
yields for a small agricultural catchment in northeastern Germany. To this
end, a 167 ha catchment was delineated consisting of 10 hydrological
response units. Daily data for streamflow and nitrate loadings from 2004 to
2015 were used to calibrate and validate the model, while annual values for
crop yields (winter wheat, winter barley, rapeseed, maize silage) were
available. In addition, the detailed field maps provided by the local farmer
were used to implement exact crop rotations and nitrogen fertilization into
the model. Nash-Sutcliffe-Efficiencies for streamflow were 0.54 during the
calibration and 0.57 for the validation period. The modeling performance for
nitrate loadings were lower with 0.31 for the calibration and 0.42 for the
validation period. The average crop yields were reproduced well, while SWAT
failed to reproduce the inter-annual crop yield variations. A scenario
analysis revealed that a slight decrease of nitrogen fertilization leads to
significant reductions in nitrate loadings, while crop yields remained on a
high level. The outcome of the study may help practitioners to operate
according to an economic and environmental optimal N management.
Nevertheless, experimental studies with varying fertilization intensities at
catchment scale are needed to underpin the modeling results.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/adgeo-48-1-2019</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3020-7312</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Agricultural industry Agricultural management Agricultural production Agricultural watersheds Analysis Barley Biological fertilization Calibration Catchment area Catchment scale Catchments Cereal crops Corn Crop rotation Crop yield Crop yields Cropping systems Crops Economics Environmental aspects Environmental management Farmers Fertilization Hydraulic flow Hydrologic data Hydrologic models Hydrology Mathematical models Modelling Nitrates Nitrogen Rapeseed Silage Soil Soil water Stream discharge Stream flow Streamflow Wheat Winter wheat |
| title | Evaluating the SWAT model to predict streamflow, nitrate loadings and crop yields in a small agricultural catchment |
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