IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Yu Zhao , Yuanmeng Song , Lulu Zhang , Jiansheng Cui , Wenzhong Tang
{"title":"Hydrological connectivity and dissolved organic matter impacts nitrogen and antibiotics fate in river-lake system before and after extreme wet season","authors":"Yu Zhao ,&nbsp;Yuanmeng Song ,&nbsp;Lulu Zhang ,&nbsp;Jiansheng Cui ,&nbsp;Wenzhong Tang","doi":"10.1016/j.jenvman.2025.124743","DOIUrl":null,"url":null,"abstract":"<div><div>The impact and mechanism of hydrological connectivity and dissolved organic matter on the fate of nitrogen and antibiotics are still lack off in a river-lake connected system under climate extreme events. This study examined the fate of NO<sub>3</sub><sup>−</sup>-N, 38 antibiotics, and dissolved organic matter (DOM) in Baiyangdian Basin, through dry and wet seasonal (after extreme rainfall) samplings at 2023. In the system, NO<sub>3</sub><sup>−</sup>-N and ∑antibiotics average concentrations were higher in the dry season, while the relative abundance of humic-like components was higher in the wet season. Spatial autocorrelation analysis showed that the high-high clusters of pollutants and DOM components were mainly distributed in rivers, and the temporal difference was significant. MixSIAR and PMF model were respectively applied to nitrogen and antibiotics sources apportionment. The results showed that non-point sources (NPS) of nitrogen and antibiotics exhibited an upward trend, while the point sources decreased from dry to wet seasons. Hydrological connectivity was characterized by using δ<sup>18</sup>O-H<sub>2</sub>O, which was higher in the wet season. Partial least squares path model revealed that hydrological connectivity directly impacted humic-like components, which were the direct influencing factor of the concentration and NPS for antibiotics and nitrogen in the connected system. Extreme rainfall weaken the impact of hydrological connectivity on the concentration and NPS of pollutants, while enhanced the impact of humic-like components on pollutants NPS. These findings clarified the impact mechanism of hydrological connectivity and DOM on nitrogen and antibiotics fate in the connected system, which plays an important role in future water quality management under extreme events.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"378 ","pages":"Article 124743"},"PeriodicalIF":8.0000,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301479725007194","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

在气候极端事件下的河湖连通系统中,水文连通性和溶解性有机物对氮和抗生素归宿的影响和机理尚缺乏研究。本研究通过2023年干湿季节(极端降雨后)取样,考察了白洋淀流域氮、38种抗生素和溶解有机物(DOM)的去向。在该系统中,旱季NO3--N和∑抗生素的平均浓度较高,而湿季腐殖质类成分的相对丰度较高。空间自相关分析表明,污染物和 DOM 成分的高-高集群主要分布在河流中,且时间差异显著。将 MixSIAR 和 PMF 模型分别用于氮源和抗生素源的分配。结果表明,氮和抗生素的非点源呈上升趋势,而点源从旱季到雨季呈下降趋势。利用 δ18O-H2O 表征水文连通性,结果发现雨季的水文连通性更高。偏最小二乘法路径模型显示,水文连通性直接影响腐殖质样成分,而腐殖质样成分是连通系统中抗生素和氮的浓度和 NPS 的直接影响因素。极端降雨削弱了水文连通性对污染物浓度和净磷(NPS)的影响,而增强了类腐殖质成分对污染物净磷(NPS)的影响。这些发现阐明了水文连通性和 DOM 对氮和抗生素在连通系统中归宿的影响机制,对未来极端事件下的水质管理具有重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hydrological connectivity and dissolved organic matter impacts nitrogen and antibiotics fate in river-lake system before and after extreme wet season

Hydrological connectivity and dissolved organic matter impacts nitrogen and antibiotics fate in river-lake system before and after extreme wet season
The impact and mechanism of hydrological connectivity and dissolved organic matter on the fate of nitrogen and antibiotics are still lack off in a river-lake connected system under climate extreme events. This study examined the fate of NO3-N, 38 antibiotics, and dissolved organic matter (DOM) in Baiyangdian Basin, through dry and wet seasonal (after extreme rainfall) samplings at 2023. In the system, NO3-N and ∑antibiotics average concentrations were higher in the dry season, while the relative abundance of humic-like components was higher in the wet season. Spatial autocorrelation analysis showed that the high-high clusters of pollutants and DOM components were mainly distributed in rivers, and the temporal difference was significant. MixSIAR and PMF model were respectively applied to nitrogen and antibiotics sources apportionment. The results showed that non-point sources (NPS) of nitrogen and antibiotics exhibited an upward trend, while the point sources decreased from dry to wet seasons. Hydrological connectivity was characterized by using δ18O-H2O, which was higher in the wet season. Partial least squares path model revealed that hydrological connectivity directly impacted humic-like components, which were the direct influencing factor of the concentration and NPS for antibiotics and nitrogen in the connected system. Extreme rainfall weaken the impact of hydrological connectivity on the concentration and NPS of pollutants, while enhanced the impact of humic-like components on pollutants NPS. These findings clarified the impact mechanism of hydrological connectivity and DOM on nitrogen and antibiotics fate in the connected system, which plays an important role in future water quality management under extreme events.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信