This slide presentation outlines a study on incorporating uncertainty and variability in the design of microbial monitoring programs. There are multiple objectives for this effort relating to regulatory issues, process control, security issues, and special requirements.
The steps involved in the analysis include:
define purpose and metrics for monitoring
system;
design alternative monitoring programs;
define the model to be used;
define variability/uncertainty distributions; and,
use Monte Carlo simulation to test the
"value" of each alternative. The presentation applies these steps to an example where the high
incidence of positive coliform readings indicated that the primary cause was cross connections, and the objective was to design a monitoring system to better detect the
positive coliform readings to locate the cross-connections. Observations included: in a full scale application
many more iterations should be performed;
uncertainty and variability of more parameters
should be considered;
use more rigorous methods for defining
uncertainty and variability distributions such as
research-based, data-driven or expert-panel. Includes tables, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 300 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 36 |
| Published : | 03/01/2007 |
