Spatiotemporal distribution of neonicotinoids in urban rivers: implications for rainfall-driven pollution in Guangzhou, China

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Ya-Ya Cai , Nan Li , Qian-Qian Zhang, Yue-Hong Liu, Jian-Liang Zhao, Guang-Guo Ying
{"title":"Spatiotemporal distribution of neonicotinoids in urban rivers: implications for rainfall-driven pollution in Guangzhou, China","authors":"Ya-Ya Cai ,&nbsp;Nan Li ,&nbsp;Qian-Qian Zhang,&nbsp;Yue-Hong Liu,&nbsp;Jian-Liang Zhao,&nbsp;Guang-Guo Ying","doi":"10.1016/j.scitotenv.2025.179907","DOIUrl":null,"url":null,"abstract":"<div><div>Neonicotinoids (NEOs), insecticides prevalent in urban river environment, contribute to dynamic pollution through their persistence and rainfall-driven dispersion into aquatic systems. However, the fluctuations in NEO concentrations during transient rainfall events and across rainy seasons remain poorly understood. This study examines the spatiotemporal distribution of five NEOs—imidacloprid, acetamiprid, clothianidin, thiamethoxam, and thiacloprid—under rainfall-driven dispersal in urban rivers of Guangzhou, China. Monitoring data and a Level IV fugacity model integrated with hydrodynamic simulations reveal the critical role of rainfall-driven surface runoff in influencing NEOs pollution levels. Concentrations of NEOs were highest in tributaries near urban villages and residential areas, averaging 169.46 ng/L, with thiamethoxam exhibiting the highest levels and thiacloprid the lowest. Peak concentrations were observed during the rainfall period for all river sections, while NEOs concentrations in upstream returned to their original levels after 24 h of rainfall. Rainfall events increased NEOs flux by an average of 4.7 times, with downstream sections experiencing higher and prolonged concentration and flux due to tidal influences and pollutant advection. Model validation showed good predictive ability, with Nash coefficients above 0.9 for flows and acceptable differences for predicted and observed concentrations. These findings underscore the driving effect of rainfall washoff on urban NEOs pollution, facilitating the development of more targeted pesticide management and pollution control measures in urban river system.</div></div>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"990 ","pages":"Article 179907"},"PeriodicalIF":8.2000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048969725015487","RegionNum":1,"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

Abstract

Neonicotinoids (NEOs), insecticides prevalent in urban river environment, contribute to dynamic pollution through their persistence and rainfall-driven dispersion into aquatic systems. However, the fluctuations in NEO concentrations during transient rainfall events and across rainy seasons remain poorly understood. This study examines the spatiotemporal distribution of five NEOs—imidacloprid, acetamiprid, clothianidin, thiamethoxam, and thiacloprid—under rainfall-driven dispersal in urban rivers of Guangzhou, China. Monitoring data and a Level IV fugacity model integrated with hydrodynamic simulations reveal the critical role of rainfall-driven surface runoff in influencing NEOs pollution levels. Concentrations of NEOs were highest in tributaries near urban villages and residential areas, averaging 169.46 ng/L, with thiamethoxam exhibiting the highest levels and thiacloprid the lowest. Peak concentrations were observed during the rainfall period for all river sections, while NEOs concentrations in upstream returned to their original levels after 24 h of rainfall. Rainfall events increased NEOs flux by an average of 4.7 times, with downstream sections experiencing higher and prolonged concentration and flux due to tidal influences and pollutant advection. Model validation showed good predictive ability, with Nash coefficients above 0.9 for flows and acceptable differences for predicted and observed concentrations. These findings underscore the driving effect of rainfall washoff on urban NEOs pollution, facilitating the development of more targeted pesticide management and pollution control measures in urban river system.
城市河流中新烟碱类的时空分布:对广州降雨污染的影响
新烟碱类杀虫剂(NEOs)是城市河流环境中普遍存在的杀虫剂,通过其持久性和降雨驱动的扩散到水生系统中,造成动态污染。然而,在短暂降雨事件期间和整个雨季近地天体浓度的波动仍然知之甚少。研究了5种新型农药吡虫啉、啶虫啉、噻虫胺、噻虫嗪和噻虫啉在广州城市河流降雨扩散下的时空分布特征。监测数据和结合水动力学模拟的四级逸度模型揭示了降雨驱动的地表径流在影响近地天体污染水平方面的关键作用。在城中村和居民区附近的支流中,neo的浓度最高,平均为169.46 ng/L,其中噻虫嗪的浓度最高,噻虫啉的浓度最低。各河段近地天体浓度均在降雨期间达到峰值,而上游近地天体浓度在降雨24 h后恢复到初始水平。降雨事件使近地天体通量平均增加4.7倍,下游地区受潮汐影响和污染物平流的影响,近地天体的浓度和通量更高,时间更长。模型验证显示出良好的预测能力,流量的纳什系数大于0.9,预测和观测浓度的差异可接受。这些发现强调了降雨冲刷对城市近地天体污染的驱动作用,有助于制定更有针对性的城市水系农药管理和污染控制措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
×
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