EPA Science Inventory

A BAYESIAN METHOD OF ESTIMATING KINETIC PARAMETERS FOR THE INACTIVATION OF CRYPTOSPORIDIUM PARVUM OOCYSTS WITH CHLORINE DIOXIDE AND OZONE

Citation:

Sivaganesan*, M, E W. Rice*, AND B. J. Marinas. A BAYESIAN METHOD OF ESTIMATING KINETIC PARAMETERS FOR THE INACTIVATION OF CRYPTOSPORIDIUM PARVUM OOCYSTS WITH CHLORINE DIOXIDE AND OZONE. Henze, M. (ed.), WATER RESEARCH. Elsevier Science Ltd, New York, NY, 37(18):4533-4543, (2003).

Description:

The main objective of this paper is to use Bayesian methods to estimate the kinetic parameters for the inactivation kinetics of Cryptosporidium parvum oocysts with chlorine dioxide or ozone which are characterized by the delayed Chick-Watson model, i.e., a lag phase or shoulder followed by pseudo-first order rate of inactivation. As the length of the lag phase (CTlag) is not known, Bayesian statistics provides a more accurate approach than traditional statistical methods to fitting the delayed Chick-Watson kinetics. Markov Chain Monte Carlo (MCMC) method is used to estimate CTlag, intercept and first order rate constant values. This method is also used to estimate the minimum CT requirement (with safety factor) for 99 % inactivation of Cryptosporidium parvum oocysts.

Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Start Date: 11/01/2003
Completion Date: 11/01/2003
Record Last Revised: 12/22/2005
Record Created: 01/14/2004
Record Released: 01/14/2004
Record ID: 75850

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL RISK MANAGEMENT RESEARCH LABORATORY

WATER SUPPLY AND WATER RESOURCES DIVISION

IMMEDIATE OFFICE