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Membrane and Desalination Technologies - TCE Moodle Website

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Potable Water Biotechnology, <strong>Membrane</strong> Filtration <strong>and</strong> Biofiltration 513<br />

Fig. 11.9. Observed <strong>and</strong> predicted DOC utilization, 5 m/h (2.0 gal/min·ft 2 ) loading rate (120).<br />

Table 11.7<br />

Summary of model predictions, pilot-scale, Cincinnati, OH, 1996 (120)<br />

Filter Observed<br />

effluent<br />

DOC (mg/L)<br />

95% confidence Predicted<br />

Interval (mg/L) effluent<br />

DOC (mg/L)<br />

Absolute deviation<br />

(mg/L)<br />

Relative deviation<br />

(%)<br />

1 2.3 0.7 2.1 0.2 8.7<br />

2 2.1 0.4 1.9 0.2 9.5<br />

3 2.0 0.7 1.8 0.2 10<br />

5 2.1 0.7 1.8 0.3 14<br />

7 2.5 0.9 2.7 þ0.1 þ6.0<br />

8 2.7 0.7 2.7 0.0 0.0<br />

The applicability of the model would be enhanced if it could accurately predict substrate<br />

utilization at the pilot-scale <strong>and</strong> in the presence or absence of ozonation <strong>and</strong> backwash<br />

disinfection. In order to address these issues, the model was evaluated during the 5-month<br />

pilot-scale study (132). Kinetic parameters were estimated for media acclimated with ozonated<br />

<strong>and</strong> nonozonated water. All of the filters listed in Table 11.3 were sacrificed at the end<br />

of the study in order to determine the biomass development with respect to filter depth. The<br />

model predictions <strong>and</strong> deviations from observed values are summarized in Table 11.7. The<br />

model predictions of effluent DOC were compared with the observed average effluent DOCs<br />

during the last 4 weeks of the pilot plant study, when DOC removals <strong>and</strong> biomass levels were<br />

at an approximate steady state. With one exception, model predictions fell within 10% of<br />

observed effluent DOCs.

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