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Oil-grit separators (OGSs) effectively remove pollutants from stormwater. A new combined scaling parameter (HRF) accurately predicts OGS removal efficiency using Hazen, Reynolds, and Froude numbers.

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Area of Science:

  • Environmental Engineering
  • Hydrology
  • Water Quality Management

Background:

  • Oil-grit separators (OGSs) are crucial for managing stormwater runoff from impervious surfaces.
  • Effective removal of oil and grit is essential to prevent water pollution.

Purpose of the Study:

  • To identify and evaluate scaling parameters for predicting the removal efficiency of OGSs.
  • To develop a generalized method for assessing OGS performance.

Main Methods:

  • Examined dimensionless parameters: Hazen number (Ha), Reynolds number (Re), and Froude number (Fr).
  • Combined these parameters into a new scaling parameter: HRF = Ha(Re/Fr).
  • Correlated sediment removal efficiency with the new HRF parameter using literature data.

Main Results:

  • A single curve effectively represents sediment removal data when using the combined HRF scaling parameter.
  • A general correlation was established between sediment removal efficiency and the HRF parameter.

Conclusions:

  • The new HRF parameter provides a generalized prediction method for OGS performance.
  • This method can serve as a preliminary indicator and aid in evaluating OGS units.