Temporal stability of E. coli and Enterococci concentrations in a Pennsylvania creek

Jeon, Dong Jin; Pachepsky, Yakov; Coppock, Cary; Harriger, M. Dana; Zhu, Rachael; Wells, E. Buist

doi:10.1007/s11356-019-07030-9

Cited by 14 publications

(9 citation statements)

References 43 publications

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“…Similarly, Lenart-Boroń et al [19] associated FIB variability with surface runoff and supply of ions and bacteria emanating from snowmelt water. Similar results of significant positive correlations between E. coli and enterococci bacteria were already reported in other studies by Xue et al [33], Jeon et al [14], Tiémoko et al [28] and Edokpayi et al [8]. The significant positive correlation of FIB with DO and turbidity is possible because due to the mixing effect of the lake currents.…”

Section: Comparison Of Fib Concentration With Water Quality Standardssupporting

confidence: 88%

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Spatial and temporal variations of faecal indicator bacteria in Lake Bunyonyi, South-Western Uganda

et al. 2021

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Background Microbial water quality serves to indicate health risks associated with the consumption of contaminated water. Nevertheless, little is known about the microbiological characteristics of water in Lake Bunyonyi. This study was therefore undertaken to examine the spatial and temporal variations of faecal indicator bacteria (FIB) in relation to physicochemical parameters in Lake Bunyonyi. Result The FIB concentration was consistently measured during sampling months and correlated with each other showing the presumed human faecal pollution in the lake. The highest concentration values for E. coli (64.7 ± 47.3 CFU/100 mL) and enterococci (24.6 ± 32.4 CFU/100 mL were obtained in the station close to the Mugyera trading centre. On a temporal basis, the maximum values were recorded during the rainy season in October 2019 (70.7 ± 56.5 CFU/100 mL for E. coli and 38.44 ± 31.8 CFU/100 mL for enterococci. FIB did not differ significantly among the study stations (p > 0.05) but showed significant temporal variations among the months (p < 0.05) with concentrations being significantly high in wet season than dry season (U = 794, p < 0.0001 for E. coli; U = 993.5, p = 0.008 for enterococci). Spearman’s rank correlation revealed that FIB concentrations were significantly positively correlated with turbidity and DO concentration levels (p < 0.05). Approximately 97.2% of the water samples had E. coli and enterococci concentrations levels below USEPA threshold for recreational waters. Likewise, 98.1 and 90.7% of samples recorded E. coli and enterococci counts exceeding the UNBS, APHA, WHO and EU threshold values for drinking water. Conclusion The FIB counts show that the Lake Bunyonyi water is bacteriologically unsuitable for drinking unless it is treated since the FIB pose health risks to consumers. Besides, the water can be used for recreational purposes.

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Section: Comparison Of Fib Concentration With Water Quality Standardssupporting

confidence: 88%

“…Globally, approximately 600 million people suffer annually from waterborne diseases after drinking contaminated water [14]. Consumption of safe and clean water has been increasingly viewed as the best alternative for increasing human safety against waterborne diseases.…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal variations of faecal indicator bacteria in Lake Bunyonyi, South-Western Uganda

et al. 2021

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“…Temporal variation of E. coli concentrations has also been described in the literature. Seasonal variability is routinely reported whereby concentrations are typically higher in the summer months and lower in colder periods (Jeon et al, 2020;Traister & Anisfeld, 2006). Escherichia coli concentrations can dramatically increase in response to rainfall/runoff events (Jenkins et al, 2015;USEPA, 2010).…”

Section: Introductionmentioning

confidence: 99%

Intra‐daily variation of Escherichia coli concentrations in agricultural irrigation ponds

et al. 2022

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Microbial water quality is determined by comparing observed Escherichia coli concentrations with regulatory thresholds. Measured concentrations can be expected to change throughout the course of a day in response to diurnal variation in environmental conditions, such as solar radiation and temperature. Therefore, the time of day at which samples are taken is an important factor within microbial water quality measurements. However, little is known about the diurnal variations of E. coli concentrations in surface sources of irrigation water. The objectives of this work were to evaluate the intra‐daily dynamics of E. coli in three irrigation ponds in Maryland over several years and to determine the water quality parameters to which E. coli populations are most sensitive. Water sampling was conducted across the ponds at 0900, 1200, and 1500 h on a total of 17 dates in the summers of 2019–2021. One‐way ANOVA revealed significant diurnal variability in E. coli concentrations in Pond (P)1 and P2, whereas no significant effects were observed in P3. Escherichia coli die‐off rates calculated between sampling time points in the same day were significantly higher in P2 than in P1 and P3, and these rates ranged from 0.005 to 0.799 h–1 across ponds. Concentrations of dissolved oxygen, pH, conductivity, and turbidity exerted the most control over E. coli populations. Results of this work demonstrate that sampling in the early‐morning hours provides the most conservative assessment of the microbial quality of irrigation waters.

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“…The initial guidance provided by the FDA for the evaluation of microbial water quality of irrigation source waters does not provide information regarding the selection of water sampling location(s). The dynamics of E. coli concentrations in surface waters have been shown to display substantial spatial and temporal variability (USEPA, 2010;Quilliam et al, 2011;Jeon et al, 2020). An et al (2002) reported that E. coli densities on an inland lake displayed large spatial variation with high concentrations measured in areas with heavy recreational activity (swimming or motor boating) and where waterfowl tended to congregate.…”

Section: Introductionmentioning

confidence: 99%

“…The MRD analysis has been successfully applied in the analysis of acrossthe-field soil moisture contents (Vachaud et al, 1985), soil moisture, and electrical conductivity (Cosh et al, 2008;Pedrera-Parrilla et al, 2017) as well as crop yields (Huang et al, 2018). Jeon et al (2020) used the MRD analysis to discern temporal stability of E. coli concentrations in a PA creek which showed dependency on the sampling season and land use. Pachepsky et al (2018) documented temporal stability in E. coli concentrations over a single growing season in two irrigation ponds in Maryland.…”

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confidence: 99%

Persistent Patterns of E. coli Concentrations in Two Irrigation Ponds from 3 Years of Monitoring

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Pachepsky

Smith

et al. 2021

Water Air Soil Pollut

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quality parameters exist and correlate with persistent patterns of E. coli concentrations. Sampling was conducted fortnightly during the summer months in 2016 to 2018 and consisted of taking water quality measurements at 23 and 34 locations in ponds P1 and P2, respectively. Interannual variability of E. coli was observed in both ponds as was substantial spatial variability of E. coli concentrations within each year. The mean relative difference (MRD) analysis was used to identify temporally stable patterns of E. coli concentrations within the ponds. These patterns found for individual years showed significant positive correlations with each other and with the overall pattern derived from the 3-year dataset. Correlation coefficients of patterns varied from 0.487 to 0.842 in P1 and from 0.467 to 0.789 in P2 (p < 0.05). MRD patterns of water quality parameters and of E. coli concentrations were also significantly correlated. Within the 3-year dataset, the highest positive correlations were observed for chlorophyll-a and turbidity while the dissolved oxygen concentrations demonstrated the greatest negative correlations. Results of the present study emphasize the advisability and feasibility of finding temporally stable spatial patterns in microbial water quality within irrigation ponds.

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Temporal stability of E. coli and Enterococci concentrations in a Pennsylvania creek

Cited by 14 publications

References 43 publications

Spatial and temporal variations of faecal indicator bacteria in Lake Bunyonyi, South-Western Uganda

Spatial and temporal variations of faecal indicator bacteria in Lake Bunyonyi, South-Western Uganda

Intra‐daily variation of Escherichia coli concentrations in agricultural irrigation ponds

Persistent Patterns of E. coli Concentrations in Two Irrigation Ponds from 3 Years of Monitoring

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