Article(id=1222963540474978692, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221150, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1653840000000, receivedDateStr=2022-05-30, revisedDate=1656345600000, revisedDateStr=2022-06-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506829612, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506829612, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506829612, creator=13701087609, updateTime=1769506829612, updator=13701087609, issue=Issue{id=1222963536863678929, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='4', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769506828752, creator=13701087609, updateTime=1769508076664, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222968771057279321, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222968771057279322, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=35, endPage=38, ext={EN=ArticleExt(id=1222963543633289819, articleId=1222963540474978692, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Application of SWAT Model in Large-scale Watershed, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

A SWAT model of the upper Paraná River basin in Brazil was constructed to test its applicability in largescale watershed. The sensitivity parameters of the model were analyzed. Then the model was calibrated and validated using 17 runoff stations. The results show that the soil evaporation compensation coefficient (ESCO) and the SCS runoff curve number (CN2) are the most sensitive parameters for the sub-basins with a high density of rain gauged stations, the model could simulate the discharge well after calibration, and the R² values of 11 stations among 17 calibration stations were greater than 0.5; Affected by factors such as insufficient precipitation data and changes in land use, the model in validation period did not perform as well as in the calibration period. Thus, the SWAT model could be used as an effective tool for large-scale watersheds, but the simulation accuracy largely depends on the quality of precipitation data.

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为检验SWAT模型在大尺度流域径流模拟的应用效果，构建了巴西巴拉那河上游流域分布式水文模型并分析了模型的敏感性参数，利用17个流量站进行模型参数率定和验证。结果表明，土壤蒸发补偿系数和SCS径流曲线数是影响模拟的最敏感参数；对于实测站点密度较大的子流域，模型可以较好地模拟流域径流变化，17个流量站中有11个站的R²值大于0.5；受降水数据不足和土地利用变化等因素的影响，模型验证期表现不如率定期。可见SWAT模型可以作为大尺度流域的径流模拟工具，但模拟精度很大程度上取决于降水数据质量。

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刘琨（1991-），男，博士、工程师，研究方向为水文水资源，E-mail：1249091967@qq.com

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刘琨（1991-），男，博士、工程师，研究方向为水文水资源，E-mail：1249091967@qq.com

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