Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field Data
An independent field performance evaluation for a secondary stormwater filtration device, named the <i>Ecosol Strom Pit (Class 2</i>), was performed between May 2017 and July 2019 in an urban catchment in Queensland, Australia. During the testing period, a total of 37 rainfall events wer...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/10/2723 |
| _version_ | 1797552213226160128 |
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| author | Fereydoon Pooya Nejad Aaron C. Zecchin |
| author_facet | Fereydoon Pooya Nejad Aaron C. Zecchin |
| author_sort | Fereydoon Pooya Nejad |
| collection | DOAJ |
| description | An independent field performance evaluation for a secondary stormwater filtration device, named the <i>Ecosol Strom Pit (Class 2</i>), was performed between May 2017 and July 2019 in an urban catchment in Queensland, Australia. During the testing period, a total of 37 rainfall events were recorded, of which between 15 and 21 events were evaluated as qualifying for the purposes of characterizing the removal efficiency performance of the device. A statistical analysis of the event mean concentrations (EMCs) of the flow streams through the device indicate a statistically significant difference between the influent and effluent streams. A variety of pollutant removal evaluation metrics, including concentration-based and total load-based metrics, were utilized in this study to characterise the efficacy of the device. Two new approaches are proposed for facilitation the analysis: a nonlinear regression approach to more effectively deal with nonlinear patterns in the influent and effluent data and the regression of concentration (ROC), which is an added concentration-based metrics. In summary, the removal efficiencies of the <i>Ecosol Storm Pit (Class 2)</i> were evaluated to be 72–74% for total suspended solids (TSS), 45–50% for total phosphorus (TP), 41–45% for total nitrogen (TN), 27–32% for total heavy metals (THM), 79–85% for total petroleum hydrocarbons (TPH), and 80–88% for total recoverable hydrocarbons (TRH). |
| first_indexed | 2024-03-10T15:57:48Z |
| format | Article |
| id | doaj.art-59cbde6c43084bbc9b3af30cef6ae425 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T15:57:48Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-59cbde6c43084bbc9b3af30cef6ae4252023-11-20T15:33:11ZengMDPI AGWater2073-44412020-09-011210272310.3390/w12102723Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field DataFereydoon Pooya Nejad0Aaron C. Zecchin1Faculty of Engineering, Computer & Mathematical Sciences, The University of Adelaide, Adelaide 5005, AustraliaFaculty of Engineering, Computer & Mathematical Sciences, The University of Adelaide, Adelaide 5005, AustraliaAn independent field performance evaluation for a secondary stormwater filtration device, named the <i>Ecosol Strom Pit (Class 2</i>), was performed between May 2017 and July 2019 in an urban catchment in Queensland, Australia. During the testing period, a total of 37 rainfall events were recorded, of which between 15 and 21 events were evaluated as qualifying for the purposes of characterizing the removal efficiency performance of the device. A statistical analysis of the event mean concentrations (EMCs) of the flow streams through the device indicate a statistically significant difference between the influent and effluent streams. A variety of pollutant removal evaluation metrics, including concentration-based and total load-based metrics, were utilized in this study to characterise the efficacy of the device. Two new approaches are proposed for facilitation the analysis: a nonlinear regression approach to more effectively deal with nonlinear patterns in the influent and effluent data and the regression of concentration (ROC), which is an added concentration-based metrics. In summary, the removal efficiencies of the <i>Ecosol Storm Pit (Class 2)</i> were evaluated to be 72–74% for total suspended solids (TSS), 45–50% for total phosphorus (TP), 41–45% for total nitrogen (TN), 27–32% for total heavy metals (THM), 79–85% for total petroleum hydrocarbons (TPH), and 80–88% for total recoverable hydrocarbons (TRH).https://www.mdpi.com/2073-4441/12/10/2723<i>Ecosol Storm Pit (Class 2)</i>field testingpollutant removal efficiencystatistical analysis |
| spellingShingle | Fereydoon Pooya Nejad Aaron C. Zecchin Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field Data Water <i>Ecosol Storm Pit (Class 2)</i> field testing pollutant removal efficiency statistical analysis |
| title | Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field Data |
| title_full | Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field Data |
| title_fullStr | Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field Data |
| title_full_unstemmed | Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field Data |
| title_short | Stormwater Filtration Performance for the <i>Ecosol Storm Pit (Class 2)</i>: Statistical Analysis of Field Data |
| title_sort | stormwater filtration performance for the i ecosol storm pit class 2 i statistical analysis of field data |
| topic | <i>Ecosol Storm Pit (Class 2)</i> field testing pollutant removal efficiency statistical analysis |
| url | https://www.mdpi.com/2073-4441/12/10/2723 |
| work_keys_str_mv | AT fereydoonpooyanejad stormwaterfiltrationperformancefortheiecosolstormpitclass2istatisticalanalysisoffielddata AT aaronczecchin stormwaterfiltrationperformancefortheiecosolstormpitclass2istatisticalanalysisoffielddata |