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Detection of untreated sewage discharges to watercourses using machine learning

Environmental Studies and Forestry

Detection of untreated sewage discharges to watercourses using machine learning

P. Hammond, M. Suttie, et al.

This research, conducted by Peter Hammond, Michael Suttie, Vaughan T. Lewis, Ashley P. Smith, and Andrew C. Singer, introduces innovative machine learning techniques to identify untreated sewage spills from wastewater treatment plants with over 96% accuracy. The findings reveal significant potential non-compliance in effluent discharges, providing valuable insights for water management and regulatory oversight.

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