Field Evaluation of the Nutrient Removal Performance of a Gross Pollutant Trap (GPT) in Australia

Peter Nichols; Terry Lucke

doi:10.3390/su8070669

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Field Evaluation of the Nutrient Removal Performance of a Gross Pollutant Trap (GPT) in Australia

Journal article

Open access

Peer reviewed

Field Evaluation of the Nutrient Removal Performance of a Gross Pollutant Trap (GPT) in Australia

Peter Nichols and Terry Lucke

Sustainability, Vol.8(7), 669

2016

DOI: https://doi.org/10.3390/su8070669

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Abstract

stormwater pollution

gross pollutant trap

nitrogen

phosphorus

suspended solids

Field testing of a proprietary stormwater treatment device (GPT) was undertaken over a one year period at a commercial site located in Sippy Downs, Queensland. The focus of the study was primarily on evaluating the effectiveness of the GPT device in removing pollution in the form of nutrients (Total Suspended Solids, Total Nitrogen, Total Phosphorus) from stormwater runoff. Water quality analysis was performed on water samples taken from the inflow and outflow of the GPT during 15 natural rainfall events. A new testing protocol was developed to ensure a comprehensive investigation of the stormwater treatment performance of the GPT. Pollution treatment Efficiency Ratios (ER) calculated for the GPT were found to be 49.2% for TSS, 26.6% for TN and 40.6% for TP. Although the nutrient removal rates of the GPT observed in the study were below those specified by Queensland regulations, the results are considered notable for a stormwater treatment device that was not specifically designed to remove nutrients from stormwater.

Details

Title: Field Evaluation of the Nutrient Removal Performance of a Gross Pollutant Trap (GPT) in Australia
Authors: Peter Nichols (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Terry Lucke (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Publication details: Sustainability, Vol.8(7), 669; 8
Publisher: MDPI AG
Date published: 2016
DOI: 10.3390/su8070669
ISSN: 2071-1050
Copyright note: Copyright © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99450544602621
Output Type: Journal article