scholarly journals Predictive Power of Clean Bed Filtration Theory for Fecal Indicator Bacteria Removal in Stormwater Biofilters

2017 ◽  
Vol 51 (10) ◽  
pp. 5703-5712 ◽  
Author(s):  
Emily A. Parker ◽  
Megan A. Rippy ◽  
Andrew S. Mehring ◽  
Brandon K. Winfrey ◽  
Richard F. Ambrose ◽  
...  
Keyword(s):  
Predictive Power ◽  
Fecal Indicator Bacteria ◽  
Indicator Bacteria ◽  
Filtration Theory ◽  
Fecal Indicator ◽  
Bacteria Removal

Impact of Local Weather on Fecal Indicator Bacteria Removal in Retention Ponds: Field Data Analysis and Machine Learning

2021 ◽  
Author(s):  
Renan Valenca ◽  
Lilly Garcia ◽  
Christina Espinosa ◽  
Dilara Flor ◽  
Sanjay K. Mohanty
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Field Data ◽  
Fecal Indicator Bacteria ◽  
Indicator Bacteria ◽  
Fecal Indicator ◽  
Retention Ponds ◽  
Field Data Analysis ◽  
Local Weather ◽  
Bacteria Removal

Towards measuring particle-associated fecal indicator bacteria in tropical streams

2007 ◽  
Vol 41 (7) ◽  
pp. 1501-1515 ◽  
Author(s):  
Y PLANCHEREL ◽  
J COWEN
Keyword(s):  
Fecal Indicator Bacteria ◽  
Tropical Streams ◽  
Indicator Bacteria ◽  
Fecal Indicator

scholarly journals Quantification of plasmid DNA standards for U.S. EPA fecal indicator bacteria qPCR methods by droplet digital PCR analysis

2018 ◽  
Vol 152 ◽  
pp. 135-142 ◽  
Author(s):  
Mano Sivaganesan ◽  
Manju Varma ◽  
Shawn Siefring ◽  
Richard Haugland
Keyword(s):  
Plasmid Dna ◽  
Fecal Indicator Bacteria ◽  
Digital Pcr ◽  
Droplet Digital Pcr ◽  
Indicator Bacteria ◽  
Pcr Analysis ◽  
Fecal Indicator

Hydrogen peroxide production in marine bathing waters: Implications for fecal indicator bacteria mortality

2008 ◽  
Vol 56 (3) ◽  
pp. 397-401 ◽  
Author(s):  
Catherine D. Clark ◽  
Warren J. De Bruyn ◽  
Scott D. Jakubowski ◽  
Stanley B. Grant
Keyword(s):  
Hydrogen Peroxide ◽  
Fecal Indicator Bacteria ◽  
Indicator Bacteria ◽  
Hydrogen Peroxide Production ◽  
Fecal Indicator ◽  
Bathing Waters

Marker genes of fecal indicator bacteria and potential pathogens in animal feces in subtropical catchments

2019 ◽  
Vol 656 ◽  
pp. 1427-1435 ◽  
Author(s):  
Warish Ahmed ◽  
Christian O'Dea ◽  
Nicole Masters ◽  
Anna Kuballa ◽  
Oswald Marinoni ◽  
...  
Keyword(s):  
Fecal Indicator Bacteria ◽  
Indicator Bacteria ◽  
Marker Genes ◽  
Fecal Indicator ◽  
Animal Feces

scholarly journals Decay of Fecal Indicator Bacterial Populations and Bovine-Associated Source-Tracking Markers in Freshly Deposited Cow Pats

2013 ◽  
Vol 80 (1) ◽  
pp. 110-118 ◽  
Author(s):  
Adelumola Oladeinde ◽  
Thomas Bohrmann ◽  
Kelvin Wong ◽  
S. T. Purucker ◽  
Ken Bradshaw ◽  
...  
Keyword(s):  
Decay Rate ◽  
Fecal Indicator Bacteria ◽  
Decay Rates ◽  
Indicator Bacteria ◽  
Source Tracking ◽  
Fecal Indicator ◽  
Bacterial Populations ◽  
Content Type ◽  
E Coli ◽  
Decay Dynamic

ABSTRACTUnderstanding the survival of fecal indicator bacteria (FIB) and microbial source-tracking (MST) markers is critical to developing pathogen fate and transport models. Although pathogen survival in water microcosms and manure-amended soils is well documented, little is known about their survival in intact cow pats deposited on pastures. We conducted a study to determine decay rates of fecal indicator bacteria (Escherichia coliand enterococci) and bovine-associated MST markers (CowM3, Rum-2-bac, and GenBac) in 18 freshly deposited cattle feces from three farms in northern Georgia. Samples were randomly assigned to shaded or unshaded treatment in order to determine the effects of sunlight, moisture, and temperature on decay rates. A general linear model (GLM) framework was used to determine decay rates. Shading significantly decreased the decay rate of theE. colipopulation (P< 0.0001), with a rate of −0.176 day−1for the shaded treatment and −0.297 day−1for the unshaded treatment. Shading had no significant effect on decay rates of enterococci, CowM3, Rum-2-bac, and GenBac (P> 0.05). In addition,E. colipopulations showed a significant growth rate (0.881 day−1) in the unshaded samples during the first 5 days after deposition. UV-B was the most important parameter explaining the decay rate ofE. colipopulations. A comparison of the decay behaviors among all markers indicated that enterococcus concentrations exhibit a better correlation with the MST markers thanE. coliconcentrations. Our results indicate that bovine-associated MST markers can survive in cow pats for at least 1 month after excretion, and although their decay dynamic differs from the decay dynamic ofE. colipopulations, they seem to be reliable markers to use in combination with enterococci to monitor fecal pollution from pasture lands.

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