Title

Performance Reconnaissance Of Stormwater Proprietary Best Management Practices

Keywords

Heavy metals; Nutrients; Proprietary BMP; Stormwater; Suspended sediments

Abstract

This paper presents a study to investigate the relative pollutant removal effectiveness of three proprietary end-of-pipe Best Management Practices (BMPs), namely, Baysaver, CDS, and Stormceptor. In this study, controlled conditions were used in order to provide documentation for the performance of the BMPs. For that purpose, a prototype facility was constructed at the University of Central Florida. For each BMP, five tests were conducted with five different flow rates: 1.6, 1.28, 0.96, 0.64, and 0.32 cfs. The monitored pollutants were sediments, nutrients, metals, and litters such as organic leaves, soda cans, plastic bottles, and cigarette butts and boxes. The results showed that some of the pollutants decreased in concentration while others increased between the influent and the effluent of the units. TSS load reductions for Baysaver, CDS and Stormceptor were 62.2%, 71.2%, and 83%, respectively. The performances of the studied BMPs for the pollutants were different. All the studied BMPs had good performance in removing the large sediment particles and litter. However, CDS had lower average inflow velocities in all tests than Baysaver and Stormceptor, causing sediment accumulation in the CDS inlet pipe. This study also showed that there was an increase in the total nitrogen concentration in Stormceptor while the nitrate/nitrite concentration increased in Baysaver and CDS. Other factors that should be considered in BMP evaluation are also presented in this paper. Copyright © Taylor & Francis Group, LLC.

Publication Date

3-1-2007

Publication Title

Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering

Volume

42

Issue

4

Number of Pages

427-437

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/10934520601187369

Socpus ID

33847377208 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33847377208

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