Article(id=1223196811700065018, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221707, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1660665600000, receivedDateStr=2022-08-17, revisedDate=1664121600000, revisedDateStr=2022-09-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1769562445807, onlineDateStr=2026-01-28, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769562445807, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769562445807, creator=13701087609, updateTime=1769562445807, updator=13701087609, issue=Issue{id=1223196803663778281, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='8', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769562443888, creator=13701087609, updateTime=1769563793740, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202465391166440, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202465391166441, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=66, endPage=69, ext={EN=ArticleExt(id=1223196812056580904, articleId=1223196811700065018, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Spatiotemporal Distribution Characteristics and Key Sources of Nitrogen in Yihe River Basin Based on SWAT Model, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

In order to analyze the Nitrogen pollution status and changes in the Yihe River Basin, a SWAT model was established, and the model was calibrated based on the monitoring data of Linyi Station. Its temporal and spatial distribution characteristics were analyzed and the key pollution sources were identified. The results show that the SWAT model has good applicability in the simulation research of runoff and pollution in the Yihe River Basin; The pollution is mainly concentrated in the flood season from July to September, and the ammonia nitrogen and total nitrogen load account for 73.34% and 81.58% of the whole year; The sub-basin in the southwest and close to the water system in the northeast are the main source area of pollution; The main sources of pollution in the basin are sewage discharge, agricultural fertilization and soil loss. Taking Nitrogen fertilizer reduction, returning farmland to forest and comprehensive management measures for the changes can effectively reduce the discharge of pollution load.

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为分析沂河流域氮污染负荷状况及变化，建立SWAT模型，基于临沂站监测数据进行模型率定，分析流域污染时空分布特征并确定关键污染源。结果表明，SWAT模型在沂河流域径流、污染负荷模拟研究中具有良好的适用性；污染负荷年内主要集中在汛期（7~9月），氨氮、总氮占全年的73.34%、81.58%；流域西南、东北干支流中下游子流域是污染负荷的主要来源区；流域主要污染源为污水排放、农业施肥和土壤流失，建议采取氮肥削减、退耕还林和综合治理措施以有效减少流域氮污染负荷。

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张国锐（1997-），男，硕士研究生，研究方向为水文水资源，E-mail：zgr9707@163.com

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张国锐（1997-），男，硕士研究生，研究方向为水文水资源，E-mail：zgr9707@163.com

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