A Bayesian method of estimating kinetic parameters for the inactivation of Cryptosporidium parvum oocysts with chlorine dioxide and ozone

Mano Sivaganesan, Eugene W. Rice, Benito J. Mariñas

Research output: Contribution to journalArticle

Abstract

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 (CT lag) 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 method is used to estimate CTlag and first-order rate constant values. This method is also used to estimate the minimum CT requirement (with safety factor) for 99% inactivation of C. parvum oocysts.

Original languageEnglish (US)
Pages (from-to)4533-4543
Number of pages11
JournalWater Research
Volume37
Issue number18
DOIs
StatePublished - Nov 2003

Keywords

  • Inactivation
  • Lag phase
  • MCMC method
  • Posterior distribution
  • Prior distribution
  • Rate constant

ASJC Scopus subject areas

  • Ecological Modeling
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution

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