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United States Department of Agriculture

Agricultural Research Service

Research Project: DETECTION, SOURCE IDENTIFICATION, ENVIRONMENTAL TRANSPORT, FATE, AND TREATMENT OF PATHOGENIC MICROORGANISMS DERIVED FROM ANIMAL WASTES Title: Bacterial Composition in Urban Watershed Creeks Impacted by Contaminants from different Sources.

Authors
item Ibekwe, Abasiofiok
item Lyon, Stephen - ORANGE COUNTY WATER DISTR

Submitted to: Soil Science Society of America Annual Meeting
Publication Type: Abstract Only
Publication Acceptance Date: October 20, 2006
Publication Date: November 12, 2006
Citation: Ibekwe, A.M., Lyon, S.R. 2006. Bacterial Composition in Urban Watershed Creeks Impacted by Contaminants from different Sources. Soil Science Society of America Annual Meeting in Indianapolis, IN Nov 12-16, 2006. Paper No. 186-2

Technical Abstract: This study was conducted to monitor changes in microbial and chemical composition along Chino Creek Reach 1 region, which, in 2002, was placed on the 303(d) list as an impaired waterbody. Pollutants in the Chino Creek basin mainly consist of pathogens and nutrients due to the densely populated areas, agricultural activities, and urban and storm-water runoff in the region. The objective of the study was to use several analytical tools to obtain sufficient data to understand the changes in bacterial composition and density in surface water that has received inputs from different sources. A total of 13 sites were selected for surface water analysis and 236 samples were collected during dry-weather runoff, storm water and recessional flows. Samples were analyzed in the field for electrical conductivity (EC), temperature, pH, and dissolved oxygen. Turbidity was measured in the laboratory. Epifluorescence microscopy was used to determine the total concentration of bacteria in the samples. Culture-based methods were used to determine the concentration of total and fecal coliforms, E. coli, and enterococci in reference surface water samples. Total coliform concentration was higher than 400 CFU mL-1 along Chino and Cypress Creeks. Molecular-based method using 16s rRNA DGGE showed four distinct clusters based on land use, therefore, bacterial contamination on these creeks may be a function of land us.

Last Modified: 11/22/2014