Full Description

The difficulty in accurately enumerating C. parvum has made it impractical to suggest or reasonably enforce regulatory guidelines for this pathogen. Recent investigations have presented statistical approaches for the calculation of confidence intervals for both C. parvum concentrations and removals by treatment processes. These approaches account for the various analytical errors (representative sampling, random analytical error, and non-constant analytical recovery) associated with C. parvum concentration and enumeration. A Poisson distribution was utilized to model true sample counts (representative sampling), a binomial distribution to model the recovered fraction of oocysts (random analytical error), and a Beta distribution to describe non-constant analytical recovery. This fundamental statistical framework was utilized to: demonstrate the relationship between analytical recovery profiles and the feasibility of concentration-based regulatory limits for C. parvum concentrations in raw and treated waters; and, propose sampling objectives to increase the reliability of pathogen concentration and removal data. Includes 7 references, tables, figures.

Product Details

Edition: Vol. - No. Published: 11/01/2002 Number of Pages: 10File Size: 1 file , 270 KB