title: A model for predicting resuspension of Escherichia coli from streambed sediments.
abstract: To improve the modeling of water quality in watersheds, a model is developed to predict resuspension of Escherichia coli from sediment beds in streams. The resuspension rate is expressed as the product of the concentration of E. coli attached to sediment particles and an erosion rate adapted from work on sediment transport. The model uses parameter values mostly taken from previous work, and it accounts for properties of the flow through the bottom shear stress and properties of the sediment through the critical shear stresses for cohesive and non-cohesive sediment. Predictions were compared to resuspension rates inferred from a steady mass balance applied to measurements at sixteen locations in a watershed. The model's predictions matched the inferred rates well, especially when the diameter of particles to which E. coli attach was allowed to depend on the bottom shear stress. The model's sensitivity to the parameters depends on the contributions of particle packing and binding effects of clay to the critical shear stress. For the current data set, the uncertainty in the predictions is controlled by the concentration of E. coli attached to sediment particles and the slope used to estimate the bottom shear stress.
authors.affiliation: Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.
authors.forename: Pramod K
authors.initials: PK
authors.lastname: Pandey
authors.forename: Michelle L
authors.initials: ML
authors.lastname: Soupir
authors.forename: Chris R
authors.initials: CR
authors.lastname: Rehmann
mesh_terms: D004926:Escherichia coli / Q000166:cytology*; D019015:Geologic Sediments / Q000382:microbiology*; D007484:Iowa; D008956:Models, Chemical; D010316:Particle Size; D045483:Rivers / Q000382:microbiology*; D013314:Stress, Mechanical; D035501:Uncertainty; D014871:Water Microbiology