Within-day variability in microbial concentrations at a UK designated bathing water: Implications for regulatory monitoring and the application of predictive modelling based on historical compliance data

Prediction of bathing water quality is recommended by the World Health Organization (WHO), the European Union (EU) and the United States Environmental Protection Agency (USEPA) and is an established element in bathing water management designed to protect public health. Most commonly, historical regu...

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Published in:Water research X Vol. 1; p. 100006
Main Authors: Wyer, Mark D, Kay, David, Morgan, Huw, Naylor, Sam, Clark, Simon, Watkins, John, Davies, Cheryl M, Francis, Carol, Osborn, Hamish, Bennett, Sarah
Format: Journal Article
Language:English
Published: England Elsevier 01-12-2018
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Abstract Prediction of bathing water quality is recommended by the World Health Organization (WHO), the European Union (EU) and the United States Environmental Protection Agency (USEPA) and is an established element in bathing water management designed to protect public health. Most commonly, historical regulatory compliance data are used for model calibration and provide the dependent variable for modelling. Independent (or predictor) variables (e.g. rainfall, river flow and received irradiance) measured over some antecedent period are used to deliver prediction of the faecal indicator concentration measured on the day of the regulatory sample collection. The implied linked assumptions of this approach are, therefore, that; (i) the independent variables accurately predict the bathing-day water quality; which is (ii) accurately characterized by the single regulatory sample. Assumption (ii) will not be the case where significant within-day variability in water quality is evident. This study built a detailed record of water quality change through 60 days at a UK coastal bathing water in 2011 using half-hourly samples each subjected to triplicate filtration designed to enhance enumeration precision. On average, the mean daily variation in FIO concentrations exceeded 1 log order, with the largest daily variations exceeding 2 log orders. Significant diurnality was observed at this bathing water, which would determine its EU Directive compliance category if the regulatory samples were collected at the same time each day. A sampling programme of this intensity has not been reported elsewhere to date and, if this pattern is proven to be characteristic of other bathing waters world-wide, it has significance for: (a) the design of regulatory sampling programmes; (b) the use of historical data to assess compliance, which often comprises a single sample taken at the compliance point on a regular, often weekly, basis; and (c) the use of regulatory compliance data to build predictive models of water quality.
AbstractList Prediction of bathing water quality is recommended by the World Health Organization (WHO), the European Union (EU) and the United States Environmental Protection Agency (USEPA) and is an established element in bathing water management designed to protect public health. Most commonly, historical regulatory compliance data are used for model calibration and provide the dependent variable for modelling. Independent (or predictor) variables (e.g. rainfall, river flow and received irradiance) measured over some antecedent period are used to deliver prediction of the faecal indicator concentration measured on the day of the regulatory sample collection. The implied linked assumptions of this approach are, therefore, that; (i) the independent variables accurately predict the bathing-day water quality; which is (ii) accurately characterized by the single regulatory sample. Assumption (ii) will not be the case where significant within-day variability in water quality is evident. This study built a detailed record of water quality change through 60 days at a UK coastal bathing water in 2011 using half-hourly samples each subjected to triplicate filtration designed to enhance enumeration precision. On average, the mean daily variation in FIO concentrations exceeded 1 log order, with the largest daily variations exceeding 2 log orders. Significant diurnality was observed at this bathing water, which would determine its EU Directive compliance category if the regulatory samples were collected at the same time each day. A sampling programme of this intensity has not been reported elsewhere to date and, if this pattern is proven to be characteristic of other bathing waters world-wide, it has significance for: (a) the design of regulatory sampling programmes; (b) the use of historical data to assess compliance, which often comprises a single sample taken at the compliance point on a regular, often weekly, basis; and (c) the use of regulatory compliance data to build predictive models of water quality.
Prediction of bathing water quality is recommended by the World Health Organization (WHO), the European Union (EU) and the United States Environmental Protection Agency (USEPA) and is an established element in bathing water management designed to protect public health. Most commonly, historical regulatory compliance data are used for model calibration and provide the dependent variable for modelling. Independent (or predictor) variables (e.g. rainfall, river flow and received irradiance) measured over some antecedent period are used to deliver prediction of the faecal indicator concentration measured on the day of the regulatory sample collection. The implied linked assumptions of this approach are, therefore, that; (i) the independent variables accurately predict the bathing-day water quality; which is (ii) accurately characterized by the single regulatory sample. Assumption (ii) will not be the case where significant within-day variability in water quality is evident. This study built a detailed record of water quality change through 60 days at a UK coastal bathing water in 2011 using half-hourly samples each subjected to triplicate filtration designed to enhance enumeration precision. On average, the mean daily variation in FIO concentrations exceeded 1 log 10 order, with the largest daily variations exceeding 2 log 10 orders. Significant diurnality was observed at this bathing water, which would determine its EU Directive compliance category if the regulatory samples were collected at the same time each day. A sampling programme of this intensity has not been reported elsewhere to date and, if this pattern is proven to be characteristic of other bathing waters world-wide, it has significance for: (a) the design of regulatory sampling programmes; (b) the use of historical data to assess compliance, which often comprises a single sample taken at the compliance point on a regular, often weekly, basis; and (c) the use of regulatory compliance data to build predictive models of water quality. Image 1 • Half hourly samples were taken for 60 days in the UK bathing season. • Every day produced highly variable bacterial results covering 1–2.5 log 10 . • The daily variance was independent of antecedent conditions. • Samples taken at different times had different compliance outcomes.
Prediction of bathing water quality is recommended by the World Health Organization (WHO), the European Union (EU) and the United States Environmental Protection Agency (USEPA) and is an established element in bathing water management designed to protect public health. Most commonly, historical regulatory compliance data are used for model calibration and provide the dependent variable for modelling. Independent (or predictor) variables (e.g. rainfall, river flow and received irradiance) measured over some antecedent period are used to deliver prediction of the faecal indicator concentration measured on the day of the regulatory sample collection. The implied linked assumptions of this approach are, therefore, that; (i) the independent variables accurately predict the bathing-day water quality; which is (ii) accurately characterized by the single regulatory sample. Assumption (ii) will not be the case where significant within-day variability in water quality is evident. This study built a detailed record of water quality change through 60 days at a UK coastal bathing water in 2011 using half-hourly samples each subjected to triplicate filtration designed to enhance enumeration precision. On average, the mean daily variation in FIO concentrations exceeded 1 log10 order, with the largest daily variations exceeding 2 log10 orders. Significant diurnality was observed at this bathing water, which would determine its EU Directive compliance category if the regulatory samples were collected at the same time each day. A sampling programme of this intensity has not been reported elsewhere to date and, if this pattern is proven to be characteristic of other bathing waters world-wide, it has significance for: (a) the design of regulatory sampling programmes; (b) the use of historical data to assess compliance, which often comprises a single sample taken at the compliance point on a regular, often weekly, basis; and (c) the use of regulatory compliance data to build predictive models of water quality. Keywords: Bathing water variability faecal indicators
ArticleNumber 100006
Author Wyer, Mark D
Morgan, Huw
Naylor, Sam
Kay, David
Clark, Simon
Francis, Carol
Watkins, John
Osborn, Hamish
Davies, Cheryl M
Bennett, Sarah
AuthorAffiliation a Department of Geography and Earth Sciences, Llandinam Building, Aberystwyth University, SY23 3DB, UK
b Place, Housing and Public Protection Services, Pollution Control, Swansea Council, The Guildhall, Swansea, SA1 4PE, UK
c Natural Resources Wales, Area Office, Maes Newydd, Llandarcy, SA10 6JQ, UK
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Cites_doi 10.1016/0043-1354(80)90213-4
10.1016/j.watres.2017.04.046
10.1016/j.watres.2003.11.032
10.1021/es020524u
10.1080/14634980902907540
10.1016/j.watres.2005.10.012
10.1016/j.watres.2005.09.031
10.1016/S0043-1354(01)00123-3
10.1128/AEM.02995-12
10.1111/j.1747-6593.2011.00258.x
10.1016/j.watres.2014.09.001
10.1016/S0043-1354(98)00250-4
10.1021/es071807v
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References Stidson (10.1016/j.wroa.2018.10.003_bib20) 2012; 26
10.1016/j.wroa.2018.10.003_bib27
10.1016/j.wroa.2018.10.003_bib6
Lusic (10.1016/j.wroa.2018.10.003_bib12) 2017; 119
10.1016/j.wroa.2018.10.003_bib26
10.1016/j.wroa.2018.10.003_bib5
10.1016/j.wroa.2018.10.003_bib29
10.1016/j.wroa.2018.10.003_bib23
10.1016/j.wroa.2018.10.003_bib22
10.1016/j.wroa.2018.10.003_bib25
10.1016/j.wroa.2018.10.003_bib24
EU (10.1016/j.wroa.2018.10.003_bib7) 2006; 4
McPhail (10.1016/j.wroa.2018.10.003_bib13) 2009; 12
Crowther (10.1016/j.wroa.2018.10.003_bib4) 2001; 35
Boehm (10.1016/j.wroa.2018.10.003_bib2) 2002; 36
10.1016/j.wroa.2018.10.003_bib8
10.1016/j.wroa.2018.10.003_bib16
Wyer (10.1016/j.wroa.2018.10.003_bib28) 1999; 33
10.1016/j.wroa.2018.10.003_bib18
Kay (10.1016/j.wroa.2018.10.003_bib11) 2004; 38
10.1016/j.wroa.2018.10.003_bib17
Fleisher (10.1016/j.wroa.2018.10.003_bib9) 1980; 14
Olyphant (10.1016/j.wroa.2018.10.003_bib15) 2005; 39
Boehm (10.1016/j.wroa.2018.10.003_bib3) 2007; 41
Bedri (10.1016/j.wroa.2018.10.003_bib1) 2016; 167
Francy (10.1016/j.wroa.2018.10.003_bib10) 2013; 79
Nevers (10.1016/j.wroa.2018.10.003_bib14) 2005; 39
10.1016/j.wroa.2018.10.003_bib19
Thoe (10.1016/j.wroa.2018.10.003_bib21) 2014; 67
References_xml – volume: 14
  start-page: 477
  year: 1980
  ident: 10.1016/j.wroa.2018.10.003_bib9
  article-title: Obtaining precise estimates in coliform enumeration
  publication-title: Water Res.
  doi: 10.1016/0043-1354(80)90213-4
  contributor:
    fullname: Fleisher
– volume: 119
  start-page: 160
  year: 2017
  ident: 10.1016/j.wroa.2018.10.003_bib12
  article-title: Temporal variations analyses and predictive modeling of microbiological seawater quality
  publication-title: Water Res.
  doi: 10.1016/j.watres.2017.04.046
  contributor:
    fullname: Lusic
– volume: 4
  issue: 3
  year: 2006
  ident: 10.1016/j.wroa.2018.10.003_bib7
  article-title: European union directive 2006/7/EC, of the European parliament and of the Council of 15 february 2006 concerning the management of bathing water quality and repealing directive 76/160/EEC
  publication-title: Official Journal of the European Union
  contributor:
    fullname: EU
– volume: 38
  start-page: 1296
  year: 2004
  ident: 10.1016/j.wroa.2018.10.003_bib11
  article-title: Derivation of numerical values for the World Health Organization guidelines for recreational waters
  publication-title: Water Res.
  doi: 10.1016/j.watres.2003.11.032
  contributor:
    fullname: Kay
– volume: 36
  start-page: 3885
  issue: 18
  year: 2002
  ident: 10.1016/j.wroa.2018.10.003_bib2
  article-title: Decadal and shorter period variability of surf zone water quality at Huntington beach, California
  publication-title: Environ. Sci. Technol.
  doi: 10.1021/es020524u
  contributor:
    fullname: Boehm
– volume: 12
  start-page: 183
  issue: 2
  year: 2009
  ident: 10.1016/j.wroa.2018.10.003_bib13
  article-title: Bathing water signage and predictive water quality models in Scotland
  publication-title: Aquat. Ecosys. Health Manag.
  doi: 10.1080/14634980902907540
  contributor:
    fullname: McPhail
– volume: 39
  start-page: 5250
  year: 2005
  ident: 10.1016/j.wroa.2018.10.003_bib14
  article-title: Nowcast modelling of Escherichia coli concentrations at multiple urban beaches of Southern Lake Michigan
  publication-title: Water Res.
  doi: 10.1016/j.watres.2005.10.012
  contributor:
    fullname: Nevers
– volume: 39
  start-page: 4953
  year: 2005
  ident: 10.1016/j.wroa.2018.10.003_bib15
  article-title: Statistical basis for predicting the need for bacterially induced beach closures: emergence of a paradigm?
  publication-title: Water Res.
  doi: 10.1016/j.watres.2005.09.031
  contributor:
    fullname: Olyphant
– volume: 35
  start-page: 4029
  issue: 17
  year: 2001
  ident: 10.1016/j.wroa.2018.10.003_bib4
  article-title: Relationships between microbial water quality and environmental conditions in coastal recreational water: the Fylde coast, UK
  publication-title: Water Res.
  doi: 10.1016/S0043-1354(01)00123-3
  contributor:
    fullname: Crowther
– ident: 10.1016/j.wroa.2018.10.003_bib23
– volume: 167
  start-page: 49
  year: 2016
  ident: 10.1016/j.wroa.2018.10.003_bib1
  article-title: Evaluating a microbial water quality prediction model for beach management under the revised EU Bathing Water Directive
  publication-title: J. Environ. Manag.
  contributor:
    fullname: Bedri
– ident: 10.1016/j.wroa.2018.10.003_bib25
– volume: 79
  start-page: 1676
  issue: 5
  year: 2013
  ident: 10.1016/j.wroa.2018.10.003_bib10
  article-title: Predictive models of Escherichia coli concentrations in inland lake beaches and relationship of model variables to pathogen detection
  publication-title: Appl. Environ. Microbiol.
  doi: 10.1128/AEM.02995-12
  contributor:
    fullname: Francy
– ident: 10.1016/j.wroa.2018.10.003_bib18
– ident: 10.1016/j.wroa.2018.10.003_bib27
– volume: 26
  start-page: 7
  year: 2012
  ident: 10.1016/j.wroa.2018.10.003_bib20
  article-title: Development and use of modelling techniques for real-time bathing water quality predictions
  publication-title: Water Environ. J.
  doi: 10.1111/j.1747-6593.2011.00258.x
  contributor:
    fullname: Stidson
– ident: 10.1016/j.wroa.2018.10.003_bib5
– volume: 67
  start-page: 105
  year: 2014
  ident: 10.1016/j.wroa.2018.10.003_bib21
  article-title: Predicting water quality at Santa Monica beach: evaluation of five different models for public notification of unsafe swimming conditions
  publication-title: Water Res.
  doi: 10.1016/j.watres.2014.09.001
  contributor:
    fullname: Thoe
– ident: 10.1016/j.wroa.2018.10.003_bib29
– volume: 33
  start-page: 715
  year: 1999
  ident: 10.1016/j.wroa.2018.10.003_bib28
  article-title: An experimental health-based standard system for marine waters
  publication-title: Water Res.
  doi: 10.1016/S0043-1354(98)00250-4
  contributor:
    fullname: Wyer
– ident: 10.1016/j.wroa.2018.10.003_bib16
– ident: 10.1016/j.wroa.2018.10.003_bib22
– ident: 10.1016/j.wroa.2018.10.003_bib8
– ident: 10.1016/j.wroa.2018.10.003_bib6
– ident: 10.1016/j.wroa.2018.10.003_bib24
– ident: 10.1016/j.wroa.2018.10.003_bib17
– ident: 10.1016/j.wroa.2018.10.003_bib19
– ident: 10.1016/j.wroa.2018.10.003_bib26
– volume: 41
  start-page: 9227
  issue: 24
  year: 2007
  ident: 10.1016/j.wroa.2018.10.003_bib3
  article-title: Enterococci concentrations in diverse coastal environments exhibit extreme variability
  publication-title: Environ. Sci. Technol.
  doi: 10.1021/es071807v
  contributor:
    fullname: Boehm
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Title Within-day variability in microbial concentrations at a UK designated bathing water: Implications for regulatory monitoring and the application of predictive modelling based on historical compliance data
URI https://www.ncbi.nlm.nih.gov/pubmed/31193990
https://search.proquest.com/docview/2340045554
https://pubmed.ncbi.nlm.nih.gov/PMC6549935
https://doaj.org/article/bf8245bfb0ff4dc998a6850999f8de07
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