Article(id=1314918390003753672, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, 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=1743350400000, receivedDateStr=2025-03-31, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430574179, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430574179, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430574179, creator=13701087609, updateTime=1791430574179, updator=13701087609, issue=Issue{id=1314918356222829028, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='11', pageStart='5921', pageEnd='6512', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430566125, creator='13701087609', updateTime=1791431596967, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922679942078535, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922679942078536, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6218, endPage=6229, ext={EN=ArticleExt(id=1314918390242829001, articleId=1314918390003753672, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=The input and output of nonpoint source nitrogen pollution in Miyun Reservoir and its buffering capacity, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

As a core drinking water source in Beijing, the response mechanism of Total Nitrogen (TN) exceedance to Net Anthropogenic Nitrogen Input (NANI) in Miyun Reservoir is not clear. In this study, NANI was constructed based on multi-source data from 2007 to 2023 to systematically reveal the spatial and temporal dynamics of nitrogen input and its influence on TN output in the watershed. The results showed that the average NANI of Miyun Reservoir was 2768.80kg/(km2·a), with an overall decreasing trend year by year, and the high value of the input area was mainly distributed in the east, while the nitrogen input in the west was more stable; fertilizer application dominated the contribution structure of nitrogen input sources for a long period of time (67.32% of the peak value), and the contribution of the net nitrogen input from food was slowly decreasing; and the nitrogen buffer mechanism of the basin weakened the linear response of anthropogenic inputs to TN outputs. The linear response between anthropogenic inputs and TN outputs was weakened by the watershed nitrogen buffering mechanism, with the short-term bioretention capacity (SBI) enhanced by 57.90%, while the long-term buffering capacity (LBI) was reduced by 86.46% due to historical nitrogen accumulation, suggesting that saturated nitrogen retention may exacerbate the risk of water quality in the future. The study clarified the spatial and temporal patterns of nitrogen input and buffer lag effect in Miyun Reservoir, and provided scientific basis for nitrogen control strategy and dynamic early warning.

, authors=Peng-hua ZHU1, Yun-qi WANG1, 2, *, Min LIU3, Zhuo-xun WANG1, Jun-jie LI1, Zhen WANG4, Xiao-ming ZHANG5, Peng LI6, authorsList=Peng-hua ZHU, Yun-qi WANG, Min LIU, Zhuo-xun WANG, Jun-jie LI, Zhen WANG, Xiao-ming ZHANG, Peng LI, authorCompany=null, correspAuthors=Yun-qi WANG, 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=1314918390498681546, articleId=1314918390003753672, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=密云水库非点源氮污染输入输出及其缓冲能力研究, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

密云水库作为北京市核心饮用水源地,其总氮(TN)超标问题对人类活动净氮输入(NANI)的响应机制尚不清晰,因此,本研究基于2007~2023年多源数据构建NANI模型,系统揭示流域氮输入时空动态特征及其对TN输出的影响.结果表明:密云水库多年平均NANI为2768.80kg/(km2·a),整体呈逐年下降趋势,高值输入地区主要分布在东部,西部氮输入变化较稳定;氮输入源贡献结构中化肥施用长期主导(峰值67.32%),食物净氮输入贡献缓慢减少;流域氮缓冲机制削弱了人为输入与TN输出的线性响应,短期生态截留能力(SBI)增强57.90%,而历史氮累积使长期缓冲能力(LBI)降低86.46%,暗示氮滞留饱和可能加剧未来水质风险.研究明晰了密云水库氮输入的时空规律及缓冲滞后效应,为控氮策略和动态预警提供科学依据.

, authors=祝鹏华1, 王云琦1, 2, *, 刘敏3, 王卓勋1, 李俊杰1, 王震4, 张晓明5, 李鹏6, authorsList=祝鹏华, 王云琦, 刘敏, 王卓勋, 李俊杰, 王震, 张晓明, 李鹏, authorCompany=null, correspAuthors=王云琦, authorNote=

祝鹏华(2001-),女,贵州贵阳人,北京林业大学水土保持学院硕士研究生,主要研究湖泊面源污染..

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* 责任作者,教授,
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祝鹏华(2001-),女,贵州贵阳人,北京林业大学水土保持学院硕士研究生,主要研究湖泊面源污染..

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祝鹏华(2001-),女,贵州贵阳人,北京林业大学水土保持学院硕士研究生,主要研究湖泊面源污染..

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密云水库非点源氮污染输入输出及其缓冲能力研究
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祝鹏华 1 , 王云琦 1, 2, * , 刘敏 3 , 王卓勋 1 , 李俊杰 1 , 王震 4 , 张晓明 5 , 李鹏 6
中国环境科学 | 环境生态 2025,45(11): 6218-6229
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中国环境科学 |环境生态 2025 , 45 (11) : 6218 -6229
密云水库非点源氮污染输入输出及其缓冲能力研究
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祝鹏华(2001-),女,贵州贵阳人,北京林业大学水土保持学院硕士研究生,主要研究湖泊面源污染..

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祝鹏华(2001-),女,贵州贵阳人,北京林业大学水土保持学院硕士研究生,主要研究湖泊面源污染..

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祝鹏华1 , 王云琦1, 2, * , 刘敏3, 王卓勋1, 李俊杰1, 王震4, 张晓明5, 李鹏6
作者信息
  • 1.北京林业大学水土保持学院,北京 100083
  • 2.北京林业大学水土保持学院,重庆缙云山三峡库区森林生态系统国家定位观测研究站,北京 100083
  • 3.中国电力工程顾问集团西南电力设计院有限公司,四川 成都 610056
  • 4.西南林业大学水土保持学院,云南 昆明 650224
  • 5.中国水利水电科学研究院,北京 100048
  • 6.西安理工大学水利水电学院,陕西 西安 710048
通讯作者:
* 责任作者,教授,
作者简介:

祝鹏华(2001-),女,贵州贵阳人,北京林业大学水土保持学院硕士研究生,主要研究湖泊面源污染..

The input and output of nonpoint source nitrogen pollution in Miyun Reservoir and its buffering capacity
Peng-hua ZHU1 , Yun-qi WANG1, 2, * , Min LIU3, Zhuo-xun WANG1, Jun-jie LI1, Zhen WANG4, Xiao-ming ZHANG5, Peng LI6
Affiliations
  • 1.School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
  • 2.Jinyun Forest Ecosystem Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
  • 3.Southwest Power Design Institute Co., China Power Engineering Consultant Group, Chengdu 610056, China
  • 4.School of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China
  • 5.China Institute of Water Resources and Hydropower Research, Beijing 100048, China
  • 6.Faculty of Water Resources and Hydroelectric Engineering, Xi'an University of Technology, Xi'an 710048, China
出版时间: 2025-11-20
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密云水库作为北京市核心饮用水源地,其总氮(TN)超标问题对人类活动净氮输入(NANI)的响应机制尚不清晰,因此,本研究基于2007~2023年多源数据构建NANI模型,系统揭示流域氮输入时空动态特征及其对TN输出的影响.结果表明:密云水库多年平均NANI为2768.80kg/(km2·a),整体呈逐年下降趋势,高值输入地区主要分布在东部,西部氮输入变化较稳定;氮输入源贡献结构中化肥施用长期主导(峰值67.32%),食物净氮输入贡献缓慢减少;流域氮缓冲机制削弱了人为输入与TN输出的线性响应,短期生态截留能力(SBI)增强57.90%,而历史氮累积使长期缓冲能力(LBI)降低86.46%,暗示氮滞留饱和可能加剧未来水质风险.研究明晰了密云水库氮输入的时空规律及缓冲滞后效应,为控氮策略和动态预警提供科学依据.

人类活动净氮输入  /  密云水库  /  总氮  /  缓冲能力  /  输入源  /  时空分布

As a core drinking water source in Beijing, the response mechanism of Total Nitrogen (TN) exceedance to Net Anthropogenic Nitrogen Input (NANI) in Miyun Reservoir is not clear. In this study, NANI was constructed based on multi-source data from 2007 to 2023 to systematically reveal the spatial and temporal dynamics of nitrogen input and its influence on TN output in the watershed. The results showed that the average NANI of Miyun Reservoir was 2768.80kg/(km2·a), with an overall decreasing trend year by year, and the high value of the input area was mainly distributed in the east, while the nitrogen input in the west was more stable; fertilizer application dominated the contribution structure of nitrogen input sources for a long period of time (67.32% of the peak value), and the contribution of the net nitrogen input from food was slowly decreasing; and the nitrogen buffer mechanism of the basin weakened the linear response of anthropogenic inputs to TN outputs. The linear response between anthropogenic inputs and TN outputs was weakened by the watershed nitrogen buffering mechanism, with the short-term bioretention capacity (SBI) enhanced by 57.90%, while the long-term buffering capacity (LBI) was reduced by 86.46% due to historical nitrogen accumulation, suggesting that saturated nitrogen retention may exacerbate the risk of water quality in the future. The study clarified the spatial and temporal patterns of nitrogen input and buffer lag effect in Miyun Reservoir, and provided scientific basis for nitrogen control strategy and dynamic early warning.

net anthropogenic nitrogen input  /  Miyun Reservoir  /  total nitrogen  /  buffering capacity  /  input sources  /  spatial and temporal distribution
祝鹏华, 王云琦, 刘敏, 王卓勋, 李俊杰, 王震, 张晓明, 李鹏. 密云水库非点源氮污染输入输出及其缓冲能力研究. 中国环境科学, 2025 , 45 (11) : 6218 -6229 .
Peng-hua ZHU, Yun-qi WANG, Min LIU, Zhuo-xun WANG, Jun-jie LI, Zhen WANG, Xiao-ming ZHANG, Peng LI. The input and output of nonpoint source nitrogen pollution in Miyun Reservoir and its buffering capacity[J]. China Environmental Science, 2025 , 45 (11) : 6218 -6229 .
  • 北京市自然科学基金资助项目(8232040)
  • 云南省基础研究计划项目(202401AU070122)
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  • 接收时间:2025-03-31
  • 首发时间:2026-10-08
  • 出版时间:2025-11-20
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  • 收稿日期:2025-03-31
基金
北京市自然科学基金资助项目(8232040)
云南省基础研究计划项目(202401AU070122)
作者信息
    1.北京林业大学水土保持学院,北京 100083
    2.北京林业大学水土保持学院,重庆缙云山三峡库区森林生态系统国家定位观测研究站,北京 100083
    3.中国电力工程顾问集团西南电力设计院有限公司,四川 成都 610056
    4.西南林业大学水土保持学院,云南 昆明 650224
    5.中国水利水电科学研究院,北京 100048
    6.西安理工大学水利水电学院,陕西 西安 710048

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
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