2006
DOI: 10.1080/10934520600656984
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Three-Dimensional Modeling of Fecal Coliform in the Tidal Basin and Washington Channel, Washington, DC

Abstract: Fecal coliform are widely used as bacterial indicator in the United States and around the world. Fecal coliform impaired water is highly possible to be polluted by pathogenic bacteria. The Tidal Basin and Washington Channel in Washington, DC are on the Total Maximum Daily Load (TMDL) list due to the high fecal coliform level. To support TMDL development, a three-dimensional numerical model of fecal coliform was developed using the EFDC framework. The model calculates the transport of fecal coliform under the i… Show more

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Cited by 13 publications
(8 citation statements)
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“…By performing a log-linear regression of the experimental decay coefficients at the four test temperatures, the values of k 20 and h were calculated to be 0.41 and 1.10 per day, respectively (R 2 5 0.943). Note that this h value is consistent with that reported by Bai and Lung (2006) for fecal coliforms (0.915 to 1.166).…”
Section: Resultssupporting
confidence: 91%
“…By performing a log-linear regression of the experimental decay coefficients at the four test temperatures, the values of k 20 and h were calculated to be 0.41 and 1.10 per day, respectively (R 2 5 0.943). Note that this h value is consistent with that reported by Bai and Lung (2006) for fecal coliforms (0.915 to 1.166).…”
Section: Resultssupporting
confidence: 91%
“…Any water source used for drinking or cleaning purposes should not contain any organism of fecal origin [27]. The analysis of the relationship between bacterial indicator levels and environmental characteristics presents several statistical challenges [28]. The negative correlation obtained between the bacterial count and the distances to latrines connoted that the total bacteria load in the groundwater wells would decrease with increase in distance.…”
Section: Discussionmentioning
confidence: 99%
“…, 2004; Kashefipour et al. , 2006; Bai and Lung, 2006) and simple reservoir models (Antenucci et al. , 2005).…”
Section: Introductionmentioning
confidence: 99%