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A predictive model for microbial counts on beaches where intertidal sand is the primary source.

Zhixuan Feng1, Ad Reniers2, Brian K Haus1

  • 1Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA; NSF NIEHS Oceans and Human Health Center, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA.

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Summary

A new model accurately predicts enterococci levels at beaches, aiding public health decisions. This enterococci (microbial) model improves beach management by detailing contamination distribution and informing safety advisories.

Keywords:
Beach advisoryFecal indicator bacteriaMicrobial mass balanceMultivariable linear regressionNonpoint source beachWater quality model

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Area of Science:

  • Environmental science
  • Microbiology
  • Water quality management

Background:

  • Accurate microbiological data is crucial for public health protection at recreational beaches.
  • Issuing timely advisories depends on reliable information about pathogen levels.

Purpose of the Study:

  • To develop a novel numerical mass balance model for assessing enterococci levels at nonpoint source beaches.
  • To provide a user-friendly model for detailed cross-shore enterococci distribution analysis.
  • To enhance beach management decision-making processes.

Main Methods:

  • Development of a numerical mass balance model for enterococci.
  • Evaluation of the model's performance against field data.
  • Comparison of the balance model with a traditional regression model for predicting advisory threshold exceedances.

Main Results:

  • Both the balance model and regression model achieved high accuracy in predicting advisories (approx. 70% at knee depth, >90% at waist depth).
  • The mass balance model demonstrated superior capability in simulating spatiotemporal variations of microbial levels.
  • The model's ease of implementation is a significant advantage for practical application.

Conclusions:

  • The developed mass balance model is effective for monitoring enterococci levels at beaches.
  • The model's ability to simulate variations makes it a valuable tool for informed beach management.
  • This approach supports enhanced public health protection through better-informed safety advisories.