Precipitation impacts the physicochemical water quality and abundance of microbial source tracking markers in urban Texas watersheds

K. K. Vadde, Sina V. Moghadam, A. Jafarzadeh, A. Matta, Duc C. Phan, Drew Johnson, V. Kapoor
{"title":"Precipitation impacts the physicochemical water quality and abundance of microbial source tracking markers in urban Texas watersheds","authors":"K. K. Vadde, Sina V. Moghadam, A. Jafarzadeh, A. Matta, Duc C. Phan, Drew Johnson, V. Kapoor","doi":"10.1371/journal.pwat.0000209","DOIUrl":null,"url":null,"abstract":"This study investigated the sources of fecal pollution in surface and groundwaters collected from three urban watersheds in Texas during dry and wet weather and identified the impact of precipitation on water quality. Water samples (n = 316 and 107 for dry and wet events, respectively) were collected biweekly from eight sampling sites (6 sites from creeks and ponds, and 2 well sites) during two-year monitoring and analyzed for six physico-chemical parameters and ten qPCR-based assays targeting general (E. coli, Enterococcus, and universal Bacteroidales), human (BacHum and HF183), animal (Rum2Bac, BacCow, BacCan), and avian (Chicken/Duck-Bac and GFD) fecal markers. Elevated concentrations of NO3-N and NO2-N were observed in ponds and creeks sites during wet weather. Fecal markers analysis indicated higher concentrations of Rum2Bac, BacCow, and BacCan markers in most of pond and creek sites under wet weather, suggesting stormwater runoff contributed to non-point sources of fecal contamination by animal sources. Furthermore, sporadically higher concentrations of these markers were detected at groundwater sampling sites, demonstrating the significant human health risk. Multivariate statistical analysis such as cluster analysis (CA) and principal coordinate analysis (PCoA) was performed to identify relationship between sampling sites; while CA majorly classified ponds, creeks, and well sites separately, PCoA identified similarities in water quality characteristics between waters of wells with ponds and creeks. Overall, results indicate ruminant and dog fecal contamination is a major concern during storm events, consequently impacting surface and groundwater quality of the study.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":"41 1-2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS water","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pwat.0000209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigated the sources of fecal pollution in surface and groundwaters collected from three urban watersheds in Texas during dry and wet weather and identified the impact of precipitation on water quality. Water samples (n = 316 and 107 for dry and wet events, respectively) were collected biweekly from eight sampling sites (6 sites from creeks and ponds, and 2 well sites) during two-year monitoring and analyzed for six physico-chemical parameters and ten qPCR-based assays targeting general (E. coli, Enterococcus, and universal Bacteroidales), human (BacHum and HF183), animal (Rum2Bac, BacCow, BacCan), and avian (Chicken/Duck-Bac and GFD) fecal markers. Elevated concentrations of NO3-N and NO2-N were observed in ponds and creeks sites during wet weather. Fecal markers analysis indicated higher concentrations of Rum2Bac, BacCow, and BacCan markers in most of pond and creek sites under wet weather, suggesting stormwater runoff contributed to non-point sources of fecal contamination by animal sources. Furthermore, sporadically higher concentrations of these markers were detected at groundwater sampling sites, demonstrating the significant human health risk. Multivariate statistical analysis such as cluster analysis (CA) and principal coordinate analysis (PCoA) was performed to identify relationship between sampling sites; while CA majorly classified ponds, creeks, and well sites separately, PCoA identified similarities in water quality characteristics between waters of wells with ponds and creeks. Overall, results indicate ruminant and dog fecal contamination is a major concern during storm events, consequently impacting surface and groundwater quality of the study.
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
降水对德克萨斯州城市流域水质理化和微生物源追踪标记丰度的影响
本研究调查了从得克萨斯州三个城市流域收集的地表水和地下水在干旱和潮湿天气中的粪便污染源,并确定了降水对水质的影响。在为期两年的监测过程中,每两周从八个采样点(6 个采样点来自溪流和池塘,2 个采样点来自水井)采集水样(旱季和雨季分别为 316 份和 107 份),并分析六种物理化学参数和十种基于 qPCR 的检测方法,这些检测方法针对一般(E.大肠杆菌、肠球菌和通用类杆菌)、人类(BacHum 和 HF183)、动物(Rum2Bac、BacCow、BacCan)和禽类(鸡/鸭-Bac 和 GFD)粪便标记物进行分析。潮湿天气时,池塘和溪流中的 NO3-N 和 NO2-N 浓度升高。粪便标记物分析表明,在潮湿天气下,大多数池塘和小溪中的 Rum2Bac、BacCow 和 BacCan 标记物浓度较高,这表明暴雨径流造成了非点源动物粪便污染。此外,在地下水采样点也零星地检测到了较高浓度的这些标记物,显示出对人类健康的重大风险。采用聚类分析(CA)和主坐标分析(PCoA)等多变量统计分析来确定采样点之间的关系;CA 主要将池塘、溪流和井点分开分类,而 PCoA 则确定了井水与池塘和溪流之间水质特征的相似性。总体而言,结果表明反刍动物和狗的粪便污染是暴雨期间的主要问题,从而影响了研究的地表水和地下水水质。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Assessing state partner use of the Model Aquatic Health Code (MAHC): A cross comparison of five states with varying degrees of self-reported adoption status Virtual water flows in a real world Optimizing machine learning for water safety: A comparative analysis with dimensionality reduction and classifier performance in potability prediction Assessing the sustained effects of a water filter intervention: A 30-month longitudinal study in Rwamagana, Rwanda 222 nm causes greater protein damage and repair inhibition of E. coli than 254 nm for water disinfection
×
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