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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Published on: May 15, 2017

A stochastic stormwater quality volume-sizing method with first flush emphasis.

Soroosh Sharifi¹, Arash Massoudieh, Masoud Kayhanian

¹Department of Civil Engineering, Catholic University of America, 620 Michigan Ave. N.E., Washington, DC 20064, USA. massoudieh@cua.edu

Water Environment Research : a Research Publication of the Water Environment Federation

|December 27, 2011

Summary

This study used Monte Carlo simulations to evaluate how capturing stormwater runoff with best management practices (BMPs) affects pollutant discharge. Results help optimize BMPs to balance water quality goals and costs.

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Area of Science:

Environmental Engineering
Hydrology
Water Quality Management

Background:

Urban stormwater runoff carries pollutants impacting waterways.
Best Management Practices (BMPs) are used to mitigate stormwater pollution.
Assessing the effectiveness of BMPs in reducing pollutant discharge is crucial.

Purpose of the Study:

To assess the impact of stormwater volume captured by BMPs on pollutant discharge frequency.
To develop a systematic approach for evaluating regulatory guidelines for stormwater pollution control.
To inform the selection of BMPs based on water quality and economic considerations.

Main Methods:

A Monte Carlo simulation technique was employed.
A power law relationship between cumulative load and flow was assumed to model the first flush effect.
Pollutograph data from three urban highway sites in West Los Angeles were analyzed.

Main Results:

The study provides a method to evaluate the frequency of exceeding pollutant concentration thresholds based on captured stormwater volume.
The effectiveness of BMPs is influenced by site-specific factors like rainfall depth.
The developed approach allows for a systematic evaluation of regulatory guideline impacts.

Conclusions:

The proposed method enables informed decision-making for stormwater management strategies.
It facilitates a trade-off analysis between the probability of violating concentration criteria and economic factors in BMP selection.
This systematic approach aids in optimizing BMP performance for urban stormwater pollution control.