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Predicting near-shore coliform bacteria concentrations using ANNS.

B Lin1, S M Kashefipour, R A Falconer

  • 1School of Engineering, Cardiff University, PO Box 925, Cardiff CF24 0YF, UK. linbl@cardiff.ac.uk

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|May 13, 2004
PubMed
Summary

Artificial Neural Networks (ANNs) effectively predict bathing water compliance using faecal coliforms as an indicator. River discharge and tidal ranges are key factors influencing coliform levels in coastal waters.

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Area of Science:

  • Environmental Science
  • Water Quality Management
  • Artificial Intelligence

Background:

  • Bathing water quality is crucial for public health and ecosystem integrity.
  • Predicting water compliance requires understanding complex environmental factors.
  • Artificial Neural Networks (ANNs) offer a powerful tool for environmental modeling.

Purpose of the Study:

  • To apply Artificial Neural Networks (ANNs) for predicting bathing water compliance.
  • To identify key environmental parameters influencing faecal coliform levels in coastal waters.
  • To assess the efficacy of ANNs in water quality management.

Main Methods:

  • Utilized water quality data from 7 locations (1990-2000) along the Firth of Clyde coastline.
  • Employed Artificial Neural Networks (ANNs) with faecal coliforms as the output indicator.

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  • Input variables included rainfall, river discharge, sunlight, and tidal conditions.

    • Main Results:

    • ANNs demonstrated capability in predicting bathing water compliance.
    • River discharge and tidal ranges were identified as the most significant factors affecting coliform concentrations.
    • Rainfall showed a notable influence on coliform levels at sites near meteorological stations.

    Conclusions:

    • ANNs provide a reliable method for forecasting bathing water quality.
    • Understanding the impact of hydrological and meteorological factors is essential for effective water management.
    • This approach can aid in safeguarding coastal water resources and public health.