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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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Published on: May 15, 2017

Redefining the stormwater first flush phenomenon.

Peter M Bach1, David T McCarthy, Ana Deletic

  • 1Department of Civil Engineering, Monash University, Wellington Road, Clayton 3800 Victoria, Australia. peterbach@gmail.com

Water Research
|February 27, 2010
PubMed
Summary
This summary is machine-generated.

Researchers redefined urban runoff first flush analysis to better manage stormwater. This new method quantifies the runoff volume needed to return pollutant levels to background concentrations, improving drainage management practices.

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Last Updated: Jun 15, 2026

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08:49

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13:48

Design and Construction of an Urban Runoff Research Facility

Published on: August 8, 2014

Area of Science:

  • Environmental Science
  • Hydrology
  • Water Quality Management

Background:

  • The first flush phenomenon in urban runoff is critical but poorly understood, with existing definitions and assessment methods lacking consensus.
  • Discrepancies in research findings highlight the need for a refined understanding and practical application of first flush theory in urban drainage.
  • Current approaches may limit the accurate assessment and effective management of stormwater pollutant loads.

Purpose of the Study:

  • To propose a novel, quantitative method for assessing urban catchment first flush behavior.
  • To redefine the first flush phenomenon based on the runoff volume required to reach background pollutant levels.
  • To enhance the practical application of first flush analysis in urban drainage and stormwater management.

Main Methods:

  • Quantifying first flush by the runoff volume needed to decrease stormwater pollutant concentrations to background levels.
  • Utilizing event pollutographs to determine average catchment pollutant concentrations for specific discharged volume increments.
  • Employing non-parametric statistics to establish a characteristic pollutograph by statistically pooling indifferent runoff increments (slices).

Main Results:

  • The proposed method successfully identified initial and background pollutant concentrations, quantifying first flush volume and strength in seven Melbourne catchments.
  • Sensitivity analysis showed that optimal slice size should align with the flow-weighting of discrete water quality samples.
  • The overall sensitivity to runoff increment and significance level was found to be negligible, indicating method robustness.

Conclusions:

  • The developed technique offers a more precise quantification of urban runoff first flush behavior and its strength.
  • This refined approach provides a valuable tool for improving urban drainage and stormwater management strategies.
  • Further research is recommended to fully develop and validate this novel first flush assessment method.