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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Environmental Microbial & Food Safety Laboratory » Research » Publications at this Location » Publication #337731

Research Project: Design and Implementation of Monitoring and Modeling Methods to Evaluate Microbial Quality of Surface Water Sources Used for Irrigation

Location: Environmental Microbial & Food Safety Laboratory

Title: Effect of high flow events on spatiotemporal variation of E. coli concentrations in creek sediments

Author
item STOCKER, MATTHEW - ORISE FELLOW
item PENROSE, MICHAEL - EVANGELICAL LUTHERAN GOOD SAMARITAN SOCIETY
item SHELTON, DANIEL
item Pachepsky, Yakov

Submitted to: Water Quality Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 4/2/2017
Publication Date: 5/17/2017
Citation: Stocker, M., Penrose, M., Shelton, D.R., Pachepsky, Y.A. 2017. Effect of high flow events on spatiotemporal variation of E. coli concentrations in creek sediments. Water Quality Meeting. Water Microbiology Conference 2017. Chapel Hill. CD.ROM. on May 15-19, 2017.

Interpretive Summary:

Technical Abstract: Sediments can harbor large populations of Escherichia coli often times in greater amounts than the overlying water column. Resuspension of sediments during storm events causes the release of E. coli which drastically changes microbial water quality metrics. It is not well known how populations of E. coli in sediments change in the days following high flow events. We created artificial high flow events in a first order creek and measured E. coli concentrations in water and sediment along a 500 m reach of this creek one day prior to, during, and after one, three, six, and 10 days. The experiment was performed in duplicate. Concentrations of E. coli in water remained high several hours after the high flow events despite turbidity and suspended solids returning to baseline levels. Statistical differences were found between concentrations of E. coli in water and sediment samples before and after high flow events. Correlation between mean E. coli concentrations in water and in sediment over all sampling days varied among replications, and was generally high. Application of three spatio-temporal pattern recognition methods showed that the general spatial pattern of variation of sediment E. coli concentrations along the reach was preserved during the whole month of experimentation. Insights gained from this research will help in microbial water quality forecasting.