Hydrological Responses to Various Land Use, Soil and Weather Inputs in Northern Lake Erie Basin in Canada
In the last decade, Lake Erie, one of the great lakes bordering Canada and the USA has been under serious threat due to increased phosphorus levels originating from agricultural fields. Large scale watersheds contributing to Lake Erie from the USA side are being simulated using hydrological and wate...
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description | In the last decade, Lake Erie, one of the great lakes bordering Canada and the USA has been under serious threat due to increased phosphorus levels originating from agricultural fields. Large scale watersheds contributing to Lake Erie from the USA side are being simulated using hydrological and water quality (H/WQ) models such as the Soil and Water Assessment Tool (SWAT) and the results from the model are being used by policy and decision makers to implement better management decisions to solve emerging phosphorus issues. On the Canadian side, modeling applications are limited to either small watersheds or one major watershed contributing to Lake Erie. To the best of our knowledge, no efforts have been made to model the entire contributing watersheds to Lake Erie from Canada. This study applied the SWAT model for Northern Lake Erie Basin (NLEB; entire contributing basin to Lake Erie). Various provincial, national and global inputs of weather, land use and soil at various resolutions was assessed to evaluate the effects of input data types on the simulation of hydrological processes and streamflows. Twelve scenarios were developed using the input combinations and selected scenarios were evaluated at selected locations along the Grand and Thames Rivers using model performance statistics, and graphical comparisons of time variable plots and flow duration curves (FDCs). In addition, various hydrological components such as surface runoff, water yield, and evapotranspiration were also evaluated. Global level coarse resolution weather and soil did not perform better compared to fine resolution national data. Interestingly, in the case of land use, global and national/provincial land use were close, however, fine resolution provincial data performed slightly better. This study found that interpolated weather data from Environment Canada climate station observations performed slightly better compared to the measured data and therefore could be a good choice to use for large-scale H/WQ modeling studies. |
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Large scale watersheds contributing to Lake Erie from the USA side are being simulated using hydrological and water quality (H/WQ) models such as the Soil and Water Assessment Tool (SWAT) and the results from the model are being used by policy and decision makers to implement better management decisions to solve emerging phosphorus issues. On the Canadian side, modeling applications are limited to either small watersheds or one major watershed contributing to Lake Erie. To the best of our knowledge, no efforts have been made to model the entire contributing watersheds to Lake Erie from Canada. This study applied the SWAT model for Northern Lake Erie Basin (NLEB; entire contributing basin to Lake Erie). Various provincial, national and global inputs of weather, land use and soil at various resolutions was assessed to evaluate the effects of input data types on the simulation of hydrological processes and streamflows. Twelve scenarios were developed using the input combinations and selected scenarios were evaluated at selected locations along the Grand and Thames Rivers using model performance statistics, and graphical comparisons of time variable plots and flow duration curves (FDCs). In addition, various hydrological components such as surface runoff, water yield, and evapotranspiration were also evaluated. Global level coarse resolution weather and soil did not perform better compared to fine resolution national data. Interestingly, in the case of land use, global and national/provincial land use were close, however, fine resolution provincial data performed slightly better. This study found that interpolated weather data from Environment Canada climate station observations performed slightly better compared to the measured data and therefore could be a good choice to use for large-scale H/WQ modeling studies.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w10020222</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural land ; Agricultural management ; Analysis ; Canada ; Computer simulation ; Evapotranspiration ; Flow duration ; Hydrologic models ; Hydrology ; Lake basins ; Lakes ; Land use ; Meteorological data ; Modelling ; Natural resources ; Ontario ; Phosphorus ; Rivers ; Runoff ; Soil water ; Soils ; Surface runoff ; Water quality ; Water quality assessments ; Water yield ; Watersheds ; Weather</subject><ispartof>Water (Basel), 2018-02, Vol.10 (2), p.222</ispartof><rights>COPYRIGHT 2018 MDPI AG</rights><rights>Copyright MDPI AG 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-580c4c2412cda5fad21579b6accc7f28bc579945db7a530b672dd3ed07dd09dc3</citedby><cites>FETCH-LOGICAL-c397t-580c4c2412cda5fad21579b6accc7f28bc579945db7a530b672dd3ed07dd09dc3</cites><orcidid>0000-0003-0801-3546 ; 0000-0002-0695-5321</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Daggupati, Prasad</creatorcontrib><creatorcontrib>Shukla, Rituraj</creatorcontrib><creatorcontrib>Mekonnen, Balew</creatorcontrib><creatorcontrib>Rudra, Ramesh</creatorcontrib><creatorcontrib>Biswas, Asim</creatorcontrib><creatorcontrib>Goel, Pradeep K.</creatorcontrib><creatorcontrib>Prasher, Shiv</creatorcontrib><creatorcontrib>Yang, Wanhong</creatorcontrib><title>Hydrological Responses to Various Land Use, Soil and Weather Inputs in Northern Lake Erie Basin in Canada</title><title>Water (Basel)</title><description>In the last decade, Lake Erie, one of the great lakes bordering Canada and the USA has been under serious threat due to increased phosphorus levels originating from agricultural fields. Large scale watersheds contributing to Lake Erie from the USA side are being simulated using hydrological and water quality (H/WQ) models such as the Soil and Water Assessment Tool (SWAT) and the results from the model are being used by policy and decision makers to implement better management decisions to solve emerging phosphorus issues. On the Canadian side, modeling applications are limited to either small watersheds or one major watershed contributing to Lake Erie. To the best of our knowledge, no efforts have been made to model the entire contributing watersheds to Lake Erie from Canada. This study applied the SWAT model for Northern Lake Erie Basin (NLEB; entire contributing basin to Lake Erie). Various provincial, national and global inputs of weather, land use and soil at various resolutions was assessed to evaluate the effects of input data types on the simulation of hydrological processes and streamflows. Twelve scenarios were developed using the input combinations and selected scenarios were evaluated at selected locations along the Grand and Thames Rivers using model performance statistics, and graphical comparisons of time variable plots and flow duration curves (FDCs). In addition, various hydrological components such as surface runoff, water yield, and evapotranspiration were also evaluated. Global level coarse resolution weather and soil did not perform better compared to fine resolution national data. Interestingly, in the case of land use, global and national/provincial land use were close, however, fine resolution provincial data performed slightly better. This study found that interpolated weather data from Environment Canada climate station observations performed slightly better compared to the measured data and therefore could be a good choice to use for large-scale H/WQ modeling studies.</description><subject>Agricultural land</subject><subject>Agricultural management</subject><subject>Analysis</subject><subject>Canada</subject><subject>Computer simulation</subject><subject>Evapotranspiration</subject><subject>Flow duration</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Lake basins</subject><subject>Lakes</subject><subject>Land use</subject><subject>Meteorological data</subject><subject>Modelling</subject><subject>Natural resources</subject><subject>Ontario</subject><subject>Phosphorus</subject><subject>Rivers</subject><subject>Runoff</subject><subject>Soil water</subject><subject>Soils</subject><subject>Surface runoff</subject><subject>Water quality</subject><subject>Water quality assessments</subject><subject>Water yield</subject><subject>Watersheds</subject><subject>Weather</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUN9LwzAQLqLgmHvwPwj4JNh5-dGlfZxjusFQUKePJU3SmdklNWmR_fdmTMS7g7vv7vvu4JLkEsOY0gJuvzEAAULISTIgwGnKGMOn_-rzZBTCFqKxIs8zGCRmsVfeNW5jpGjQsw6ts0EH1Dn0JrxxfUArYRVaB32DXpxp0AG9a9F9aI-Wtu27gIxFj84fOjayPzWae6PRnQhxEGMmrFDiIjmrRRP06DcPk_X9_HW2SFdPD8vZdJVKWvAuzXKQTBKGiVQiq4UiOONFNRFSSl6TvJIRFixTFRcZhWrCiVJUK-BKQaEkHSZXx72td1-9Dl25db238WRJADMOOcMQWeMjayMaXRpbu84LGV3pnZHO6trE_pQXQEmOMxoF10eB9C4Er-uy9WYn_L7EUB6-X_59n_4AQp91nQ</recordid><startdate>20180219</startdate><enddate>20180219</enddate><creator>Daggupati, Prasad</creator><creator>Shukla, Rituraj</creator><creator>Mekonnen, Balew</creator><creator>Rudra, Ramesh</creator><creator>Biswas, Asim</creator><creator>Goel, Pradeep K.</creator><creator>Prasher, Shiv</creator><creator>Yang, Wanhong</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0003-0801-3546</orcidid><orcidid>https://orcid.org/0000-0002-0695-5321</orcidid></search><sort><creationdate>20180219</creationdate><title>Hydrological Responses to Various Land Use, Soil and Weather Inputs in Northern Lake Erie Basin in Canada</title><author>Daggupati, Prasad ; Shukla, Rituraj ; Mekonnen, Balew ; Rudra, Ramesh ; Biswas, Asim ; Goel, Pradeep K. ; Prasher, Shiv ; Yang, Wanhong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-580c4c2412cda5fad21579b6accc7f28bc579945db7a530b672dd3ed07dd09dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Agricultural land</topic><topic>Agricultural management</topic><topic>Analysis</topic><topic>Canada</topic><topic>Computer simulation</topic><topic>Evapotranspiration</topic><topic>Flow duration</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Lake basins</topic><topic>Lakes</topic><topic>Land use</topic><topic>Meteorological data</topic><topic>Modelling</topic><topic>Natural resources</topic><topic>Ontario</topic><topic>Phosphorus</topic><topic>Rivers</topic><topic>Runoff</topic><topic>Soil water</topic><topic>Soils</topic><topic>Surface runoff</topic><topic>Water quality</topic><topic>Water quality assessments</topic><topic>Water yield</topic><topic>Watersheds</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Daggupati, Prasad</creatorcontrib><creatorcontrib>Shukla, Rituraj</creatorcontrib><creatorcontrib>Mekonnen, Balew</creatorcontrib><creatorcontrib>Rudra, Ramesh</creatorcontrib><creatorcontrib>Biswas, Asim</creatorcontrib><creatorcontrib>Goel, Pradeep K.</creatorcontrib><creatorcontrib>Prasher, Shiv</creatorcontrib><creatorcontrib>Yang, Wanhong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</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><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Daggupati, Prasad</au><au>Shukla, Rituraj</au><au>Mekonnen, Balew</au><au>Rudra, Ramesh</au><au>Biswas, Asim</au><au>Goel, Pradeep K.</au><au>Prasher, Shiv</au><au>Yang, Wanhong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hydrological Responses to Various Land Use, Soil and Weather Inputs in Northern Lake Erie Basin in Canada</atitle><jtitle>Water (Basel)</jtitle><date>2018-02-19</date><risdate>2018</risdate><volume>10</volume><issue>2</issue><spage>222</spage><pages>222-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>In the last decade, Lake Erie, one of the great lakes bordering Canada and the USA has been under serious threat due to increased phosphorus levels originating from agricultural fields. Large scale watersheds contributing to Lake Erie from the USA side are being simulated using hydrological and water quality (H/WQ) models such as the Soil and Water Assessment Tool (SWAT) and the results from the model are being used by policy and decision makers to implement better management decisions to solve emerging phosphorus issues. On the Canadian side, modeling applications are limited to either small watersheds or one major watershed contributing to Lake Erie. To the best of our knowledge, no efforts have been made to model the entire contributing watersheds to Lake Erie from Canada. This study applied the SWAT model for Northern Lake Erie Basin (NLEB; entire contributing basin to Lake Erie). Various provincial, national and global inputs of weather, land use and soil at various resolutions was assessed to evaluate the effects of input data types on the simulation of hydrological processes and streamflows. Twelve scenarios were developed using the input combinations and selected scenarios were evaluated at selected locations along the Grand and Thames Rivers using model performance statistics, and graphical comparisons of time variable plots and flow duration curves (FDCs). In addition, various hydrological components such as surface runoff, water yield, and evapotranspiration were also evaluated. Global level coarse resolution weather and soil did not perform better compared to fine resolution national data. Interestingly, in the case of land use, global and national/provincial land use were close, however, fine resolution provincial data performed slightly better. This study found that interpolated weather data from Environment Canada climate station observations performed slightly better compared to the measured data and therefore could be a good choice to use for large-scale H/WQ modeling studies.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w10020222</doi><orcidid>https://orcid.org/0000-0003-0801-3546</orcidid><orcidid>https://orcid.org/0000-0002-0695-5321</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural land Agricultural management Analysis Canada Computer simulation Evapotranspiration Flow duration Hydrologic models Hydrology Lake basins Lakes Land use Meteorological data Modelling Natural resources Ontario Phosphorus Rivers Runoff Soil water Soils Surface runoff Water quality Water quality assessments Water yield Watersheds Weather |
title | Hydrological Responses to Various Land Use, Soil and Weather Inputs in Northern Lake Erie Basin in Canada |
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