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Spatial and Temporal Modeling of Microbial Contaminants on Grazing Farmlands

^a Center for Assessment and Monitoring of Forest and Environmental Resources, 151 Hilgard Hall, Univ. of California, Berkeley, CA 94720-3110
^b Geographic Information Science Center, 102 Wheeler Hall, University of California, Berkeley, CA 94720-1870

View larger version (20K): [in a new window]   Fig. 1. Conceptual model of E. coli sources, transport processes, and sinks within catchments.

View larger version (98K): [in a new window]   Fig. 2. Map of watersheds, streams, and paddocks (shaded areas) at the study site.

View larger version (28K): [in a new window]   Fig. 3. Daily prediction of E. coli mass flow, concentration in water at catchment outlet, and E. coli mass on the streambed of the basin that the outlet resides on, and field measurement of E. coli concentration at the catchment outlet.

View larger version (16K): [in a new window]   Fig. 4. Effects of stocking rates on E. coli concentration: high (1.5 stock units [SU]/400 m2), medium (1 SU/400 m2), and low (0.1 SU/400 m2). The above rates were applied to the first 90 d, no stocks to the second 90 d.

View larger version (10K): [in a new window]   Fig. 5. Effect of temperature and solar radiation. A low treatment was applied to the first 90 d, then high for the remaining period.

View larger version (10K): [in a new window]   Fig. 6. Effect of flow volumes. Low volume was applied to the first 90 d, then high for the remaining period.