Article(id=1314918365760685050, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918247384834796, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1740499200000, receivedDateStr=2025-02-26, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430568398, onlineDateStr=2026-10-08, pubDate=1760889600000, pubDateStr=2025-10-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430568398, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430568398, creator=13701087609, updateTime=1791430568398, updator=13701087609, issue=Issue{id=1314918247384834796, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='10', pageStart='5329', pageEnd='5920', issueExtLink='null', onlineDate='null', pubDate='1760889600000', pubDateStr='2025-10-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430540175, creator='13701087609', updateTime=1791431660009, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922944367784036, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918247384834796, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922944367784037, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918247384834796, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=5695, endPage=5705, ext={EN=ArticleExt(id=1314918367518098427, articleId=1314918365760685050, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Sources and key influencing factors of nitrate in northern Fuxian lake, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

To elucidate the sources and driving mechanisms of nitrate pollution in the inflow rivers of northern Fuxian Lake, this study collected water and soil samples from 11sites across four major river catchments (Dufangdagou, Fucheng River, Yaonigou, and Longxigou) in the northern area during both the wet and dry seasons of 2022. An integrated approach combining nitrogen and oxygen isotope tracing, water chemistry analysis, land use assessment, and the MixSIAR model was employed to quantitatively determine the contributions of various nitrogen pollution sources and to identify the key factors influencing nitrate pollution. The results indicated that nitratenitrogen was the predominant nitrogen species, accounting for over 60% of total nitrogen (TN), with an increased proportion during the wet season. Soil nitrogen loss and sewage/manure discharge were identified as the primary sources of nitrate pollution, contributing 31.1%~56.1% and 15.6%~38.9%, respectively, followed by chemical fertilizer application (10.2%~45%) and atmospheric nitrogen deposition (3.3%~16.7%). Notably, the contribution from domestic sewage increased substantially in Fucheng River and Yaonigou catchments during the wet season, likely due to intensified runoff scouring and sewage overflow. In addition, soils under vegetable cultivation exhibited greater nitrate loss compared to those planted with blueberries, wheat, or tobacco, with irrigation during the dry season further exacerbating nitrogen loss. These findings highlight the urgent need for targeted management strategies to mitigate nitrate loss from legacy nitrogen pools in agricultural soils, particularly in vegetable fields.

, authors=Yan KONG¹, Cheng TANG¹, Hai-tao FENG¹, Jun-song WANG¹, Zhi-yun WANG¹, Xiao-xu ZHANG¹, Zhao-kui NI², Sheng-rui WANG^{2, *}, Bin SU^{3, **}, authorsList=Yan KONG, Cheng TANG, Hai-tao FENG, Jun-song WANG, Zhi-yun WANG, Xiao-xu ZHANG, Zhao-kui NI, Sheng-rui WANG, Bin SU, authorCompany=null, correspAuthors=Sheng-rui WANG, Bin SU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314918368050775036, articleId=1314918365760685050, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=抚仙湖北岸硝酸盐来源解析及主要影响因素研究, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

为阐明抚仙湖入湖河流硝酸盐污染来源及其驱动机制，于2022年丰水期及枯水期采集了抚仙湖北岸区域独房大沟、抚澄河、窑泥沟和龙溪沟4条主要河流流域20个样品，综合运用氮氧同位素示踪、水化学分析和土地利用解析等方法，结合MixSIAR模型定量评估了不同氮污染源贡献，并探究了其硝酸盐氮污染主要影响因素．结果表明，硝态氮是抚仙湖入湖河流氮的主要形态，占总氮含量的60%以上，且雨季占比更高；土壤流失及污水粪肥是入湖河流硝酸盐主要来源，各来源贡献依次为土壤氮流失（31.1%~56.1%）、生活污水或粪肥氮（15.6%~38.9%）、化肥氮（10.2%~45%）和大气氮沉降（3.3%~16.7%）；雨季抚澄河、窑泥沟生活污水贡献率显著升高，可能与径流冲刷效应及污水溢流相关；蔬菜种植区土壤硝酸盐流失贡献高于蓝莓、小麦及烤烟，且旱季灌溉会加剧其流失．

, authors=孔燕¹, 唐诚¹, 冯海涛¹, 王俊松¹, 王志芸¹, 张晓旭¹, 倪兆奎², 王圣瑞^{2, *}, 苏斌^{3, **}, authorsList=孔燕, 唐诚, 冯海涛, 王俊松, 王志芸, 张晓旭, 倪兆奎, 王圣瑞, 苏斌, authorCompany=null, correspAuthors=王圣瑞, 苏斌, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=4JuVbyDy/w4pDDFdrDLzPQ==, magXml=hDQA2EC6PT8eabE+ALGH+w==, pdfUrl=null, pdf=5XUJ5+TIxBwldJTq+ruvNQ==, pdfFileSize=2497670, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=r5kfpx/MrSXEkhjWkBygsA==, mapNumber=null, fund=null)}, authors=[Author(id=1314918368692502534, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918365760685050, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=15478600@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918368768000008, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918365760685050, authorId=1314918368692502534, language=EN, stringName=Yan KONG, firstName=Yan, middleName=null, lastName=KONG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Yunnan Key Laboratory for Pollution Processes and Control of Plateau LakeWatersheds, Yunnan Institute of Environmental Science, Kunming 650034, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918368830914569, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918365760685050, authorId=1314918368692502534, language=CN, stringName=孔燕, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.云南省生态环境科学研究院，云南高原湖泊流域污染过程与管理重点实验室，云南 昆明 650034, bio={"content":"

孔燕（1987），女，云南通海人，高级工程师，硕士，主要从事河湖污染控制研究．发表论文10余篇．15478600@qq.com.

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孔燕（1987），女，云南通海人，高级工程师，硕士，主要从事河湖污染控制研究．发表论文10余篇．15478600@qq.com.

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