Calibration and Validation of ADAPT and SWAT for Field-Scale Runoff Prediction
The pollutant reduction possible with a given agricultural best-management practice (BMP) is complex and site-specific. Water-quality models can evaluate BMPs, but model results are often limited by the lack of calibrated parameters for a given BMP. This study calibrated runoff prediction of two mod...
Gespeichert in:
| Veröffentlicht in: | Journal of the American Water Resources Association 2007-08, Vol.43 (4), p.899-910 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 910 |
|---|---|
| container_issue | 4 |
| container_start_page | 899 |
| container_title | Journal of the American Water Resources Association |
| container_volume | 43 |
| creator | Anand, S Mankin, K.R McVay, K.A Janssen, K.A Barnes, P.L Pierzynski, G.M |
| description | The pollutant reduction possible with a given agricultural best-management practice (BMP) is complex and site-specific. Water-quality models can evaluate BMPs, but model results are often limited by the lack of calibrated parameters for a given BMP. This study calibrated runoff prediction of two models (ADAPT and SWAT) for individual field plots having one till and two no-till management practices. The factors used for runoff calibration were curve number II (CN(II)) and saturated hydraulic conductivity (Ksat) for ADAPT, and CN(II), Ksat, and available water capacity for SWAT. Results were evaluated using coefficient of determination (R2), Nash-Sutcliffe efficiency (E(f)), root-mean square error, median-based E(f), and sign tests. Results indicated that for ADAPT, the best-fit CN(II) was 66 for the NT/SB (no-till plot with surface-broadcast fertilizer) treatment, 68 for the NT/DB (no-till with deep-banded fertilizer) treatment, and 70 for the tilled plot, whereas for SWAT the best-fit CN(II) was much higher, 86, for all treatments. Neither agreed with the textbook CN(II), 78, for sorghum in silty clay loam soil. The best-fit model parameters for both runoff calibration phases had excellent correlation to monthly totals and moderate correlation to individual events. |
| doi_str_mv | 10.1111/j.1752-1688.2007.00061.x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_proquest_miscellaneous_19986064</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>19986064</sourcerecordid><originalsourceid>FETCH-LOGICAL-f278t-76c49e6fee7f51f8bb33ad103e4dcfdcc74d00256ca19208edd99a41ed4e2fca3</originalsourceid><addsrcrecordid>eNo9jltPAjEQhTdGExH9De6Lvu063Xbb7iOioAkgkZtvTenFLC672EKC_94qhHmZOXO-OZkoihGkKNTDKkUszxJEOU8zAJYCAEXp_ixqnYzzMEOBE8LIx2V05f0KAOWI41Y06sqqXDq5LZs6lrWO50Hrg2xs3HnqjKf_-8miM41t4-JeaSqdTJSsTPy-qxtr47EzulR_N9fRhZWVNzfH3o5mvedp9yUZvPVfu51BYjPGtwmjihSGWmOYzZHlyyXGUiPAhmhltVKMaIAsp0qiIgNutC4KSZDRxGRWSdyO7g-5G9d874zfinXplakqWZtm5wUqCk6BkgDeHUHpw8vWyVqVXmxcuZbuRyAeuLyggUsOXOm3Zn_ypfsSlGGWi8WoL8j8aTgfPw7FIPC3B97KRshPFzJnkwwQBuAZIRTwLzIeeI0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>19986064</pqid></control><display><type>article</type><title>Calibration and Validation of ADAPT and SWAT for Field-Scale Runoff Prediction</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Anand, S ; Mankin, K.R ; McVay, K.A ; Janssen, K.A ; Barnes, P.L ; Pierzynski, G.M</creator><creatorcontrib>Anand, S ; Mankin, K.R ; McVay, K.A ; Janssen, K.A ; Barnes, P.L ; Pierzynski, G.M</creatorcontrib><description>The pollutant reduction possible with a given agricultural best-management practice (BMP) is complex and site-specific. Water-quality models can evaluate BMPs, but model results are often limited by the lack of calibrated parameters for a given BMP. This study calibrated runoff prediction of two models (ADAPT and SWAT) for individual field plots having one till and two no-till management practices. The factors used for runoff calibration were curve number II (CN(II)) and saturated hydraulic conductivity (Ksat) for ADAPT, and CN(II), Ksat, and available water capacity for SWAT. Results were evaluated using coefficient of determination (R2), Nash-Sutcliffe efficiency (E(f)), root-mean square error, median-based E(f), and sign tests. Results indicated that for ADAPT, the best-fit CN(II) was 66 for the NT/SB (no-till plot with surface-broadcast fertilizer) treatment, 68 for the NT/DB (no-till with deep-banded fertilizer) treatment, and 70 for the tilled plot, whereas for SWAT the best-fit CN(II) was much higher, 86, for all treatments. Neither agreed with the textbook CN(II), 78, for sorghum in silty clay loam soil. The best-fit model parameters for both runoff calibration phases had excellent correlation to monthly totals and moderate correlation to individual events.</description><identifier>ISSN: 1093-474X</identifier><identifier>EISSN: 1752-1688</identifier><identifier>DOI: 10.1111/j.1752-1688.2007.00061.x</identifier><identifier>CODEN: JWRAF5</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>ADAPT ; Agricultural Drainage and Pesticide Transport model ; agricultural watersheds ; best management practices ; calibration ; clay loam soils ; curve number ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Exact sciences and technology ; fertilizer application ; field experimentation ; hydrologic models ; Hydrology ; Hydrology. Hydrogeology ; model validation ; modeling ; Natural Resources Conservation Service ; no-till ; no-tillage ; nonpoint source pollution ; NRCS curve numbers ; Pollution, environment geology ; prediction ; runoff ; saturated hydraulic conductivity ; silty soils ; simulation ; simulation models ; Soil and Water Assessment Tool model ; SWAT ; watershed hydrology</subject><ispartof>Journal of the American Water Resources Association, 2007-08, Vol.43 (4), p.899-910</ispartof><rights>2007 INIST-CNRS</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18986596$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Anand, S</creatorcontrib><creatorcontrib>Mankin, K.R</creatorcontrib><creatorcontrib>McVay, K.A</creatorcontrib><creatorcontrib>Janssen, K.A</creatorcontrib><creatorcontrib>Barnes, P.L</creatorcontrib><creatorcontrib>Pierzynski, G.M</creatorcontrib><title>Calibration and Validation of ADAPT and SWAT for Field-Scale Runoff Prediction</title><title>Journal of the American Water Resources Association</title><description>The pollutant reduction possible with a given agricultural best-management practice (BMP) is complex and site-specific. Water-quality models can evaluate BMPs, but model results are often limited by the lack of calibrated parameters for a given BMP. This study calibrated runoff prediction of two models (ADAPT and SWAT) for individual field plots having one till and two no-till management practices. The factors used for runoff calibration were curve number II (CN(II)) and saturated hydraulic conductivity (Ksat) for ADAPT, and CN(II), Ksat, and available water capacity for SWAT. Results were evaluated using coefficient of determination (R2), Nash-Sutcliffe efficiency (E(f)), root-mean square error, median-based E(f), and sign tests. Results indicated that for ADAPT, the best-fit CN(II) was 66 for the NT/SB (no-till plot with surface-broadcast fertilizer) treatment, 68 for the NT/DB (no-till with deep-banded fertilizer) treatment, and 70 for the tilled plot, whereas for SWAT the best-fit CN(II) was much higher, 86, for all treatments. Neither agreed with the textbook CN(II), 78, for sorghum in silty clay loam soil. The best-fit model parameters for both runoff calibration phases had excellent correlation to monthly totals and moderate correlation to individual events.</description><subject>ADAPT</subject><subject>Agricultural Drainage and Pesticide Transport model</subject><subject>agricultural watersheds</subject><subject>best management practices</subject><subject>calibration</subject><subject>clay loam soils</subject><subject>curve number</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Exact sciences and technology</subject><subject>fertilizer application</subject><subject>field experimentation</subject><subject>hydrologic models</subject><subject>Hydrology</subject><subject>Hydrology. Hydrogeology</subject><subject>model validation</subject><subject>modeling</subject><subject>Natural Resources Conservation Service</subject><subject>no-till</subject><subject>no-tillage</subject><subject>nonpoint source pollution</subject><subject>NRCS curve numbers</subject><subject>Pollution, environment geology</subject><subject>prediction</subject><subject>runoff</subject><subject>saturated hydraulic conductivity</subject><subject>silty soils</subject><subject>simulation</subject><subject>simulation models</subject><subject>Soil and Water Assessment Tool model</subject><subject>SWAT</subject><subject>watershed hydrology</subject><issn>1093-474X</issn><issn>1752-1688</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNo9jltPAjEQhTdGExH9De6Lvu063Xbb7iOioAkgkZtvTenFLC672EKC_94qhHmZOXO-OZkoihGkKNTDKkUszxJEOU8zAJYCAEXp_ixqnYzzMEOBE8LIx2V05f0KAOWI41Y06sqqXDq5LZs6lrWO50Hrg2xs3HnqjKf_-8miM41t4-JeaSqdTJSsTPy-qxtr47EzulR_N9fRhZWVNzfH3o5mvedp9yUZvPVfu51BYjPGtwmjihSGWmOYzZHlyyXGUiPAhmhltVKMaIAsp0qiIgNutC4KSZDRxGRWSdyO7g-5G9d874zfinXplakqWZtm5wUqCk6BkgDeHUHpw8vWyVqVXmxcuZbuRyAeuLyggUsOXOm3Zn_ypfsSlGGWi8WoL8j8aTgfPw7FIPC3B97KRshPFzJnkwwQBuAZIRTwLzIeeI0</recordid><startdate>20070801</startdate><enddate>20070801</enddate><creator>Anand, S</creator><creator>Mankin, K.R</creator><creator>McVay, K.A</creator><creator>Janssen, K.A</creator><creator>Barnes, P.L</creator><creator>Pierzynski, G.M</creator><general>Blackwell Publishing Ltd</general><general>American Water Resources Association</general><scope>FBQ</scope><scope>BSCLL</scope><scope>IQODW</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TV</scope><scope>7U6</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20070801</creationdate><title>Calibration and Validation of ADAPT and SWAT for Field-Scale Runoff Prediction</title><author>Anand, S ; Mankin, K.R ; McVay, K.A ; Janssen, K.A ; Barnes, P.L ; Pierzynski, G.M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-f278t-76c49e6fee7f51f8bb33ad103e4dcfdcc74d00256ca19208edd99a41ed4e2fca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>ADAPT</topic><topic>Agricultural Drainage and Pesticide Transport model</topic><topic>agricultural watersheds</topic><topic>best management practices</topic><topic>calibration</topic><topic>clay loam soils</topic><topic>curve number</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Exact sciences and technology</topic><topic>fertilizer application</topic><topic>field experimentation</topic><topic>hydrologic models</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>model validation</topic><topic>modeling</topic><topic>Natural Resources Conservation Service</topic><topic>no-till</topic><topic>no-tillage</topic><topic>nonpoint source pollution</topic><topic>NRCS curve numbers</topic><topic>Pollution, environment geology</topic><topic>prediction</topic><topic>runoff</topic><topic>saturated hydraulic conductivity</topic><topic>silty soils</topic><topic>simulation</topic><topic>simulation models</topic><topic>Soil and Water Assessment Tool model</topic><topic>SWAT</topic><topic>watershed hydrology</topic><toplevel>online_resources</toplevel><creatorcontrib>Anand, S</creatorcontrib><creatorcontrib>Mankin, K.R</creatorcontrib><creatorcontrib>McVay, K.A</creatorcontrib><creatorcontrib>Janssen, K.A</creatorcontrib><creatorcontrib>Barnes, P.L</creatorcontrib><creatorcontrib>Pierzynski, G.M</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of the American Water Resources Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anand, S</au><au>Mankin, K.R</au><au>McVay, K.A</au><au>Janssen, K.A</au><au>Barnes, P.L</au><au>Pierzynski, G.M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Calibration and Validation of ADAPT and SWAT for Field-Scale Runoff Prediction</atitle><jtitle>Journal of the American Water Resources Association</jtitle><date>2007-08-01</date><risdate>2007</risdate><volume>43</volume><issue>4</issue><spage>899</spage><epage>910</epage><pages>899-910</pages><issn>1093-474X</issn><eissn>1752-1688</eissn><coden>JWRAF5</coden><abstract>The pollutant reduction possible with a given agricultural best-management practice (BMP) is complex and site-specific. Water-quality models can evaluate BMPs, but model results are often limited by the lack of calibrated parameters for a given BMP. This study calibrated runoff prediction of two models (ADAPT and SWAT) for individual field plots having one till and two no-till management practices. The factors used for runoff calibration were curve number II (CN(II)) and saturated hydraulic conductivity (Ksat) for ADAPT, and CN(II), Ksat, and available water capacity for SWAT. Results were evaluated using coefficient of determination (R2), Nash-Sutcliffe efficiency (E(f)), root-mean square error, median-based E(f), and sign tests. Results indicated that for ADAPT, the best-fit CN(II) was 66 for the NT/SB (no-till plot with surface-broadcast fertilizer) treatment, 68 for the NT/DB (no-till with deep-banded fertilizer) treatment, and 70 for the tilled plot, whereas for SWAT the best-fit CN(II) was much higher, 86, for all treatments. Neither agreed with the textbook CN(II), 78, for sorghum in silty clay loam soil. The best-fit model parameters for both runoff calibration phases had excellent correlation to monthly totals and moderate correlation to individual events.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1752-1688.2007.00061.x</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1093-474X |
| ispartof | Journal of the American Water Resources Association, 2007-08, Vol.43 (4), p.899-910 |
| issn | 1093-474X 1752-1688 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_19986064 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | ADAPT Agricultural Drainage and Pesticide Transport model agricultural watersheds best management practices calibration clay loam soils curve number Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology fertilizer application field experimentation hydrologic models Hydrology Hydrology. Hydrogeology model validation modeling Natural Resources Conservation Service no-till no-tillage nonpoint source pollution NRCS curve numbers Pollution, environment geology prediction runoff saturated hydraulic conductivity silty soils simulation simulation models Soil and Water Assessment Tool model SWAT watershed hydrology |
| title | Calibration and Validation of ADAPT and SWAT for Field-Scale Runoff Prediction |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T07%3A01%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Calibration%20and%20Validation%20of%20ADAPT%20and%20SWAT%20for%20Field-Scale%20Runoff%20Prediction&rft.jtitle=Journal%20of%20the%20American%20Water%20Resources%20Association&rft.au=Anand,%20S&rft.date=2007-08-01&rft.volume=43&rft.issue=4&rft.spage=899&rft.epage=910&rft.pages=899-910&rft.issn=1093-474X&rft.eissn=1752-1688&rft.coden=JWRAF5&rft_id=info:doi/10.1111/j.1752-1688.2007.00061.x&rft_dat=%3Cproquest_pasca%3E19986064%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=19986064&rft_id=info:pmid/&rfr_iscdi=true |