Literature DB >> 22033306

Water reclamation redesign for reducing Cryptosporidium risks at a recreational spray park using stochastic models.

Mark H Weir1, Maria Tereza Pepe Razzolini, Joan B Rose, Yoshifumi Masago.   

Abstract

Recreational outbreaks associated with sprayparks are well recognized, and may be partly due to the engineering designs used for their water reclamation systems are problematic to control. This work is based on an outbreak of cryptosporidiosis linked to a spraypark in New York State, where it was determined, specifically that the spraypad (the main attraction) was the primary exposure point. We first determined the likely dose the spraypad users were exposed to, then modeled the efficacy of the treatment system and used this to inform a Monte Carlo method to estimate the probability of infection and illness for the users of the spraypad. The current treatment system which consists of; two holding tanks, a dual media filter and chlorine injection as well as two design change recommendations were modeled using three independent Markov chain models. Within the current treatment system design the receiving tank for the treatment train is also connected with a second pipe to the spraypad used to deliver the return (treated) water, this return pipe is acting potentially as a bypass for the treatment train. Based on the risk assessments performed it is recommended that the bypass pipe be removed from the treatment system since in doing so the probability of infection and illness were reduced appreciably. Secondarily including an ozone contactor was shown to slightly reduce the risk further and provide a multiple barrier. Copyright Â
© 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22033306     DOI: 10.1016/j.watres.2011.09.047

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

1.  Effect of Surface Sampling and Recovery of Viruses and Non-Spore-Forming Bacteria on a Quantitative Microbial Risk Assessment Model for Fomites.

Authors:  Mark H Weir; Tomoyuki Shibata; Yoshifumi Masago; Dena L Cologgi; Joan B Rose
Journal:  Environ Sci Technol       Date:  2016-05-18       Impact factor: 9.028

2.  Development of a relative risk model for drinking water regulation and design recommendations for a peri urban region of Argentina.

Authors:  María Soledad Rodriguez-Alvarez; Mark H Weir; Joanna M Pope; Lucas Seghezzo; Verónica B Rajal; María Mónica Salusso; Liliana B Moraña
Journal:  Int J Hyg Environ Health       Date:  2015-06-30       Impact factor: 5.840

3.  Development of a microbial dose response visualization and modelling application for QMRA modelers and educators.

Authors:  Mark H Weir; Jade Mitchell; William Flynn; Joanna M Pope
Journal:  Environ Model Softw       Date:  2016-11-24       Impact factor: 5.288

4.  A Data Simulation Method to Optimize a Mechanistic Dose-Response Model for Viral Loads of Hepatitis A.

Authors:  Mark H Weir
Journal:  Microb Risk Anal       Date:  2019-11-22

5.  Translating research to policy at the NCSE 2017 symposium "Microbiology of the Built Environment: Implications for Health and Design".

Authors:  Ashleigh Bope; Mark H Weir; Amy Pruden; Michael Morowitz; Jade Mitchell; Karen C Dannemiller
Journal:  Microbiome       Date:  2018-09-15       Impact factor: 14.650

  5 in total

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