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Release Rates of Manure-Borne Coliform Bacteria from Data on Leaching through Stony Soil

^a U.S. Dep. of Agriculture, Agricultural Research Service, Animal and Natural Resources Institute, Animal Waste Pathogens Laboratory, Bldg. 173, BARC-East, 10300 Baltimore Ave, Beltsville, MD 20705-2350
^b U.S. Dep. of Agriculture, Agricultural Research Service, Animal and Natural Resources Institute, Environmental Quality Laboratory
^c U.S. Dep. of Agriculture, Agricultural Research Service, Pasture Systems and Watershed Management Research Laboratory

View larger version (32K): [in a new window]   Fig. 1. Effect of transport and release parameters on simulated fecal coliform concentrations in effluent collected at 90 cm depth; values of the varied parameter are shown at corresponding curves. (a) Various D in cm2min-1, R = 0.5, µ = 0.005 min-1, = 0.005 min-1; (b) D = 0.5 cm2min-1, various R, µ = 0.005 min-1, = 0.005 min-1; (c) D = 0.5 cm2min-1, R = 0.3, µ = 0.005 min-1, various in min-1; (d) D = 0.5 cm2min-1, R = 0.3, various µ in min-1, = 0.005 min-1; pore water velocity v was 0.5 cm min-1 in all simulations.

View larger version (26K): [in a new window]   Fig. 2. Measured concentrations of fecal coliforms and turbidity; different symbols are used to distinguish among replications.

View larger version (21K): [in a new window]   Fig. 3. (a) Reduced fecal coliform concentrations, (b) reduced turbidity of the effluent, and (c) relationship between the two reduced values. Different symbols are used to distinguish among replications. The linear regression line is shown in the Part c; the regression equation is Y = (0.994 ± 0.039) X + (0.003 ± 0.042), R2 = 0.807.

View larger version (51K): [in a new window]   Fig. 4. (a), (b) Dependencies of logarithms of fecal coliform concentrations in the effluent, and (c), (d) logarithms of turbidity of the effluent on time: (a) and (c) complete observed dependencies, (b) and (d) parts of the observed dependencies used to derive release rate constant values as absolute values of the linear regression lines. Different symbols are used to distinguish among replications.