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Stormwater Management Plan
Attached to the e-mail MCU18/0097 - Response to Further Advice - Traffic and Stormwater - 115 Eumundi Noosa Rd, Noosaville.
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Log in to see the plans as drawnGOOD SHEPHERD LUTHERAN COLLEGE ODYSSEY CONSULTING GROUP Lot 30 on SP170751 Conceptual Stormwater Management Plan 115 Eumundi Noosa Road, Noosaville Project No: K4277 5.4.2 Design Parameters of the Stormwater Quality Improvement System Detailed design of the stormwater treatment train shall be in accordance with the WSUD, Technical Design Guidelines for South East Queensland – Version 1 (June 2006). BIO-RETENTION BASINS A bio-retention basin is designed to pond stormwater allowing it to percolate through a layer of filter media, typically sandy loam. Runoff passing through the filter media is collected with perforated pipe discharging to the downstream drainage infrastructure. The Bio-retention basins shall be located to treat all stormwater from development area. The bio-retention basins have been modelled with the following properties: Filter media Sandy Loam; 5 – 10% Organic Content in accordance with AS1289.4.1.1; Average D50 0.45 mm; Ksat 180 mm/hr; TN Content = 400 mg/kg Orthophosphate Content = 20 mg/kg Filter media depth 0.40 m; Drainage layer 0.20 m; Extended detention depth 0.30 m; Seepage 0 mm/hr; 2 2 Filter Area Basin 1: 20m , Basin 2: 4m ; 2 2 Surface Area Basin 1: 20m , Basin 2: 4m . The permeable pavement has been modelled with the following properties: Filter media Sandy Loam; 5 – 10% Organic Content in accordance with AS1289.4.1.1; Average D50 1 mm; Ksat 360 mm/hr; Filter media depth 0.40 m; Extended detention depth Pavement 1: 0.0 m, Pavement 2: 0.1 m; Seepage 0 mm/hr; 2 2 Filter Area Pavement 1: 69m , Pavement 2: 150m ; 2 2 Surface Area Pavement 1: 69m , Pavement 2: 150m . 5.4.3 Post Development Modelling Results - Mitigated The stormwater quality improvement device (SQID) will reduce the amount of sediments and nutrients discharging from the proposed residential development. Table 18 illustrates the treatment train effectiveness of the proposed SQID’s. Table 18: Treatment Train Effectiveness of Proposed SQID Parameter Post Post Mitigated Reduction (%) Water Quality Objectives Flow (ML/yr) 6.26 6.21 0.8 - TSS (kg/yr) 2310 279 87.9 80% TP (kg/yr) 3.78 0.817 78.4 60% TN (kg/yr) 13 6.77 48.1 45% Gross Pollutants (kg/yr) 127 0 100 90% The results demonstrate that the proposed SQID meet the intended water quality objectives for flow, suspended solids, phosphorous and nitrogen levels. K4277-0002-D 14 February 2019 Page 13 of 16
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