Literature DB >> 16570591

Enterococci predictions from partial least squares regression models in conjunction with a single-sample standard improve the efficacy of beach management advisories.

Deyi Hou1, Sharyl J M Rabinovici, Alexandria B Boehm.   

Abstract

Beach health advisories are issued if enterococci (ENT) densities exceed the 30-d geometric mean or single-sample water quality criteria. Current ENT enumeration procedures require 1 day of incubation; therefore, beach managers make policy decisions using 1-day-old data. This is tantamount to using a model that assumes ENT density on day t is equal to ENT density on day t-1. Research has shown that ENT densities vary over time scales shorterthan a day, calling into question the usefulness of the current model for decision-making. We created Dynamic Partial Least Square Regression (DPLSR) models for ENT at water quality monitoring stations within two adjacent marine recreational sites, Huntington State Beach (HSB) and Huntington City (HCB) Beach, California, using publicly available environmental data and tested whether these models overcome the drawbacks of the current model. The DPLSR models provide a better prediction of ENT than the current models based on comparisons of root-mean-square errors of prediction and the numbers of type 1 and 2 errors. We compared outcomes in terms of predicted illness, swimmers deterred from entering the water, and net benefits to swimmers for hypothetical management scenarios where beach advisories were issued based on (a) the previously collected sample's ENT density in conjunction with the two water quality criteria, and (b) predictions from DPLSR models in conjunction with the single-sample standard. At both HSB and HCB the DPLSR scenario produced a more favorable balance between illness prevention and recreational access. The results call into question the current method of beach management and show that model-informed decision-making and elimination of the geometric mean standard will aid beach managers in achieving more favorable outcomes in terms of illness and access than are presently achieved using 1-day-old measurements, especially at beaches where water quality problems are chronic.

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Year:  2006        PMID: 16570591     DOI: 10.1021/es0515250

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  8 in total

1.  Hydrometeorological variables predict fecal indicator bacteria densities in freshwater: data-driven methods for variable selection.

Authors:  Rachael M Jones; Li Liu; Samuel Dorevitch
Journal:  Environ Monit Assess       Date:  2012-06-27       Impact factor: 2.513

Review 2.  Enterococci in the environment.

Authors:  Muruleedhara N Byappanahalli; Meredith B Nevers; Asja Korajkic; Zachery R Staley; Valerie J Harwood
Journal:  Microbiol Mol Biol Rev       Date:  2012-12       Impact factor: 11.056

3.  Predictive models for Escherichia coli concentrations at inland lake beaches and relationship of model variables to pathogen detection.

Authors:  Donna S Francy; Erin A Stelzer; Joseph W Duris; Amie M G Brady; John H Harrison; Heather E Johnson; Michael W Ware
Journal:  Appl Environ Microbiol       Date:  2013-01-04       Impact factor: 4.792

4.  Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water.

Authors:  Daniel L Weller; Tanzy M T Love; Martin Wiedmann
Journal:  Front Artif Intell       Date:  2021-05-14

5.  Predicting E. coli concentrations using limited qPCR deployments at Chicago beaches.

Authors:  Nick Lucius; Kevin Rose; Callin Osborn; Matt E Sweeney; Renel Chesak; Scott Beslow; Tom Schenk
Journal:  Water Res X       Date:  2018-12-27

6.  Meeting report: knowledge and gaps in developing microbial criteria for inland recreational waters.

Authors:  Samuel Dorevitch; Nicholas J Ashbolt; Christobel M Ferguson; Roger Fujioka; Charles D McGee; Jeffrey A Soller; Richard L Whitman
Journal:  Environ Health Perspect       Date:  2010-01-25       Impact factor: 9.031

7.  Persistence of Bacteroides ovatus under simulated sunlight irradiation.

Authors:  Shengkun Dong; Pei-Ying Hong; Thanh H Nguyen
Journal:  BMC Microbiol       Date:  2014-07-04       Impact factor: 3.605

8.  The effects of precipitation, river discharge, land use and coastal circulation on water quality in coastal Maine.

Authors:  Charles E Tilburg; Linda M Jordan; Amy E Carlson; Stephan I Zeeman; Philip O Yund
Journal:  R Soc Open Sci       Date:  2015-07-29       Impact factor: 2.963

  8 in total

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