Literature DB >> 35051677

Identifying water quality and environmental factors that influence indicator and pathogen decay in natural surface waters.

Kara Dean1, Jade Mitchell2.   

Abstract

Biphasic decay has been observed for indicators and pathogens in bench-scale and in-situ water experiments for decades, however, first-order decay kinetics continue to be applied to persistence data because of their simplicity and ease of application. Model uncertainty introduced by broadly applying first-order decay kinetics to persistence data may lead to erroneous decision making in the fields of water management and protection. As surface waters are exposed to highly variable environmental and water quality factors that influence microbial and viral persistence, it is expected that first-order decay kinetics are not representative of most of the persistence literature for indicators and pathogens in surface water matrices. This review compiled the methods and results of 61 studies that conducted experiments evaluating the persistence of fecal indicator bacteria (FIB), bacteriophages, pathogenic bacteria, viruses, and protozoa in natural surface water matrices. The goals of this review were trifold: (1) collate studies in the literature with data available for future persistence modeling, (2) present the current state of knowledge with regards to the environmental and water quality factors affecting persistence in natural surface waters, and (3) identify recurrent evidence for interactions between the frequently studied factors to inform future factor analyses. Comparing the methods and results across the 61 studies suggest potential interactions between sunlight and water type; sunlight and method of detection; predation and water type; predation and temperature; and water type and method of detection. The majority of the identified literature evaluated FIB or bacteria persistence; future experiments are needed that focus on protozoa, brackish or marine water types, and molecular-based methods of detection.
Copyright © 2022. Published by Elsevier Ltd.

Entities:  

Keywords:  Decay; Indicators; Pathogens; Persistence; Surface waters

Mesh:

Year:  2022        PMID: 35051677     DOI: 10.1016/j.watres.2022.118051

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


  1 in total

1.  Predicting the dispersal of SARS-CoV-2 RNA from the wastewater treatment plant to the coast.

Authors:  Peter E Robins; Neil Dickson; Jessica L Kevill; Shelagh K Malham; Andrew C Singer; Richard S Quilliam; Davey L Jones
Journal:  Heliyon       Date:  2022-09-07
  1 in total

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