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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Douglas Moyer</dc:contributor>
  <dc:creator>Kenneth Hyer</dc:creator>
  <dc:date>2003</dc:date>
  <dc:description>Surface-water impairment by fecal coliform bacteria is a water-quality issue of national scope and importance.&#13;
In Virginia, more than 175 stream segments are on the Commonwealth's 1998 303(d) list of impaired waters&#13;
because of elevated concentrations of fecal coliform bacteria. These fecal coliform-impaired stream segments&#13;
require the development of total maximum daily load (TMDL) and associated implementation plans, but accurate&#13;
information on the sources contributing these bacteria usually is lacking. The development of defendable fecal&#13;
coliform TMDLs and management plans can benefit from reliable information on the bacteria sources that are&#13;
responsible for the impairment. Bacterial source tracking (BST) recently has emerged as a powerful tool for&#13;
identifying the sources of fecal coliform bacteria that impair surface waters. In a demonstration of BST&#13;
technology, three watersheds on Virginia's 1998 303(d) list with diverse land-use practices (and potentially&#13;
diverse bacteria sources) were studied. Accotink Creek is dominated by urban land uses, Christians Creek by&#13;
agricultural land uses, and Blacks Run is affected by both urban and agricultural land uses. During the 20-month&#13;
field study (March 1999?October 2000), water samples were collected from each stream during a range of flow&#13;
conditions and seasons. For each sample, specific conductance, dissolved oxygen concentration, pH, turbidity,&#13;
flow, and water temperature were measured. Fecal coliform concentrations of each water sample were determined&#13;
using the membrane filtration technique. Next, Escherichia coli (E. coli) were isolated from the fecal coliform&#13;
bacteria and their sources were identified using ribotyping (a method of 'genetic fingerprinting'). &#13;
&#13;
Study results provide enhanced understanding of the concentrations and sources of fecal coliform bacteria in&#13;
these three watersheds. Continuum sampling (sampling along the length of the streams) indicated that elevated&#13;
concentrations of fecal coliform bacteria (maximum observed concentration of 290,000 colonies/100 milliliters&#13;
(col/100mL) could occur along the entire length of each stream, and that the samples collected at the downstream&#13;
monitoring station of each stream were generally representative of the entire upstream reach. Seasonal patterns&#13;
were observed in the base-flow fecal coliform concentrations of all streams; concentrations were typically highest&#13;
in the summer and lowest in the winter. Fecal coliform concentrations were lowest during periods of base flow&#13;
(typically 200?2,000 col/100mL) and increased by 3?4 orders of magnitude during storm events&#13;
(as high as 700,000 col/100mL). Multiple linear regression models were developed to predict fecal coliform&#13;
concentrations as a function of streamflow and other water-quality parameters. The source tracking technique&#13;
provided identification of bacteria contributions from diverse sources that included (but were not limited to) humans,&#13;
cattle, poultry, horses, dogs, cats, geese, ducks, raccoons, and deer. Seasonal patterns were observed in the&#13;
contributions of cattle and poultry sources. There were relations between the identified sources of fecal coliform&#13;
bacteria and the land-use practices within each watershed. There were only minor differences in the distribution of&#13;
bacteria sources between low-flow periods and high-flow periods. A coupled approach that utilized both a large&#13;
available source library and a smaller, location-specific source library provided the most success in identifying the&#13;
unknown E. coli isolates. BST data should provide valuable support and guidance for producing more defendable and&#13;
scientifically rigorous watershed models. Incorporation of these bacteria-source data into watershed management&#13;
strategies also should result in the selection of more efficient source-reduction scenarios for improving water quality.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.3133/wri034115</dc:identifier>
  <dc:language>en</dc:language>
  <dc:title>Patterns and sources of fecal coliform bacteria in three streams in Virginia, 1999-2000</dc:title>
  <dc:type>reports</dc:type>
</oai_dc:dc>