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

K. K. Vadde, Sina V. Moghadam, A. Jafarzadeh, A. Matta, Duc C. Phan, Drew Johnson, V. Kapoor
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引用次数: 0

摘要

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。在为期两年的监测期间,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。
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Precipitation impacts the physicochemical water quality and abundance of microbial source tracking markers in urban Texas watersheds
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.
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