Integrated social development on analyzing the distribution, risk and source apportionment of antibiotics pollution in mountainous rivers

IF 7.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research X Pub Date : 2025-03-01 DOI:10.1016/j.wroa.2025.100327
Wei Fan , Minjie Yang , Ying Shao , Dongjun Shen , Liang Ao , Zhongli Chen
{"title":"Integrated social development on analyzing the distribution, risk and source apportionment of antibiotics pollution in mountainous rivers","authors":"Wei Fan ,&nbsp;Minjie Yang ,&nbsp;Ying Shao ,&nbsp;Dongjun Shen ,&nbsp;Liang Ao ,&nbsp;Zhongli Chen","doi":"10.1016/j.wroa.2025.100327","DOIUrl":null,"url":null,"abstract":"<div><div>Antibiotics, as the widespread drugs stimulate the evolution of antibiotic resistance, threatening human and ecosystem health worldwide. However, studies rarely conducted in rivers among the regional scale with diverse economic development, which limits the management efficient of antibiotic control. Therefore, we investigated the concentration, distribution, risk and source apportionment of 54 antibiotics in 9 mountainous rivers, where the economic social development divers among their watersheds in Chongqing, China. The results showed that the concentrations of antibiotics detected in surface water, effluent of wastewater treatment plants, hospital, livestock and aquaculture sewage were 0.13–290 ng/L, 2.17–590 ng/L, 6.58–2.16 × 10<sup>5</sup> ng/L, 4.5–7.4 × 10<sup>5</sup> ng/L and 4.41–7.49 × 10<sup>3</sup> ng/L, respectively. The order of total antibiotic concentrations along the investigated rivers was Laixi River &gt; Changshou Lake &gt; Longxi River &gt; Fujiang River &gt; Jialing River &gt; Qiongjiang River &gt; Yangtze River &gt; Wujiang River &gt; Qijiang River. The risk quotient indicates that ofloxacin and lincomycin exhibited high risk. Through Mantel test and correlation analysis screened antibiotics associated with anthropogenic factors. Municipal wastewater had a positive impact on QNs. The positive matrix factorization model was used to identify the main sources of antibiotics in surface water with special focus on the Longxi River, revealing the livestock and aquaculture were main contributions, respectively. The ToxPi method was employed to prioritize antibiotics in surface water, and seven compounds were recommended as priority chemicals of concern in the future. This work provides a valuable regional scale dataset of antibiotics in the mountainous rivers, which promises valuable insights for controlling antibiotic contamination.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100327"},"PeriodicalIF":7.2000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research X","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S258991472500026X","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Antibiotics, as the widespread drugs stimulate the evolution of antibiotic resistance, threatening human and ecosystem health worldwide. However, studies rarely conducted in rivers among the regional scale with diverse economic development, which limits the management efficient of antibiotic control. Therefore, we investigated the concentration, distribution, risk and source apportionment of 54 antibiotics in 9 mountainous rivers, where the economic social development divers among their watersheds in Chongqing, China. The results showed that the concentrations of antibiotics detected in surface water, effluent of wastewater treatment plants, hospital, livestock and aquaculture sewage were 0.13–290 ng/L, 2.17–590 ng/L, 6.58–2.16 × 105 ng/L, 4.5–7.4 × 105 ng/L and 4.41–7.49 × 103 ng/L, respectively. The order of total antibiotic concentrations along the investigated rivers was Laixi River > Changshou Lake > Longxi River > Fujiang River > Jialing River > Qiongjiang River > Yangtze River > Wujiang River > Qijiang River. The risk quotient indicates that ofloxacin and lincomycin exhibited high risk. Through Mantel test and correlation analysis screened antibiotics associated with anthropogenic factors. Municipal wastewater had a positive impact on QNs. The positive matrix factorization model was used to identify the main sources of antibiotics in surface water with special focus on the Longxi River, revealing the livestock and aquaculture were main contributions, respectively. The ToxPi method was employed to prioritize antibiotics in surface water, and seven compounds were recommended as priority chemicals of concern in the future. This work provides a valuable regional scale dataset of antibiotics in the mountainous rivers, which promises valuable insights for controlling antibiotic contamination.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Water Research X
Water Research X Environmental Science-Water Science and Technology
CiteScore
12.30
自引率
1.30%
发文量
19
期刊介绍: Water Research X is a sister journal of Water Research, which follows a Gold Open Access model. It focuses on publishing concise, letter-style research papers, visionary perspectives and editorials, as well as mini-reviews on emerging topics. The Journal invites contributions from researchers worldwide on various aspects of the science and technology related to the human impact on the water cycle, water quality, and its global management.
期刊最新文献
Integrated social development on analyzing the distribution, risk and source apportionment of antibiotics pollution in mountainous rivers Upgrading waste activated sludge into valuable biosolids via an integrated biochemical approach Evaluation of the process performance of comammox-like nitrospira dominant down-flow hanging sponge reactor with reduced nitrous oxide emissions Making waves: Rethinking our mission for N2O emissions at WRRFs New understanding of microbial growth cycle for efficient waste-activated sludge disposal by preserving microbial self-degradation activity during the decline phase
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1