Modelling and Analysis of EES Systems Using SWMM

Transcription

1 Planning and Design of a Right-of-Way LID (Etobicoke Exfiltration System) July 24 th 2015 Toronto, Ontario, Canada ling and Analysis of EES Systems Using SWMM Darko Joksimovic Department of Civil Engineering, Ryerson University, Toronto

2 to Capture in a Inlet D/S Plug and future work Trench

3 No explicit elements to simulate EES Representing EES in SWMM Storm sewer + two perforated pipes and future work Does not include storage interaction and capacity Does not restrict the flow to downstream MH (need dummy nodes) 2

4 No explicit elements to simulate EES Representing EES in SWMM Storm sewer + trench (link) + dummy node and future work Adjustments to geometry to represent void space in the trench Adjustment to infiltration rate (mm/hr)

5 No explicit elements to simulate EES Representing EES in SWMM Storm sewer + 2 orifices+ storage (node) and future work Geometry to represent void space in the trench Adjustment of infiltration rates to surrounding soil for revised geometry (revised in recent SWMM versions from Green-Ampt to mm/hr)

6 No explicit elements to simulate EES Representing EES in SWMM Storm sewer + 2 orifices+ storage + pumping and future work Storage (stage-area) and pump curves in Excel Representing each element separately allows flexibility Sensitivity analyses Analyses of results Future changes

7 No explicit elements to simulate EES What is NOT modelled and future work Detailed inlet hydraulics Previous monitoring left questions regarding restricted flow to perforated pipes Changes to orifice coefficients Flow in the trench Flow through geotextile Wrapping of the perforated pipes Trench Long term changes Climate Drainage area characteristics Perforated pipe clogging Trench clogging Surrounding soil infiltration rates

8 Testing (Etobicoke Data) Infiltration rate of surrounding soil the main adjustment parameter and future work

9 Application Conventional (existing) drainage model

10 calibrated using recorded pond levels Application

11 Application Conventional (existing) drainage model EES Overlaid

12 Application Long-term performance of each system simulated using the developed models in PCSWMM Pearson Airport hourly rainfall data (April October, with missing years) 11

13 Application Drainage system inflows Inflow Volume (10 6 m³) Runoff Total (EES) Total (Conventional) J5 J1 J6 J12 J2 J3 J7 J4 J27 J8 J23 J11 J15 J16 J9 J10 J17 J13 J18 J14 J19 J20 J21 J22 J24 J25 J26 J30 J28 J29 Node ID 12

14 Application Drainage system (pipe flow) utilization EES Conventional 1,200 Maximum Flow (L/s) 1, C9 C13 C23 C26 C10 C1 C5 C2 C11 C3 C6 C12 C4 C30 C18 C19 C20 C7 C8 C14 C15 C16 C17 C21 C22 C24 C25 C27 C29 C28 Link ID 13

15 Application Drainage system (pipe capacity) utilization 0.9 EES Conventional C9 C13 C23 C26 C10 C1 C5 C2 C11 C3 C6 C12 C4 C30 C18 C19 C20 C7 C8 C14 C15 C16 C17 C21 C22 C24 C25 C27 C29 C28 Maximum Percent Utilized Link ID 14

16 SU1 SU10 SU11 SU12 SU13 SU14 SU15 SU16 SU17 Maximum Percent Utilized SU18 SU19 SU2 SU20 SU21 SU22 SU23 SU24 SU25 SU26 SU27 SU3 SU4 SU5 SU6 SU7 SU8 SU9 Trench storage utilization Application Trench Storage ID 15

17 Application Flow duration Pond Inflow (EES) Pond Inflow (Conventional) Pond Outflow (EES) Pond Outflow (Conventional) Flow Rate (L/s) 1,200 1, , ,000.0 Duration of Exceedance (hrs) 16

18 Application Water balance Conventional Rainfall Volume Surface Infiltration ET Surface Runoff 678 1,269 With EES 424 2,366 Surface Infiltration ET Infiltrated by EES Pond Discharge ,

19 Summary and Future Work ling of EES can be accomplished in several ways using SWMM Orifice-storage-pump representation used in this study Advantages: simple and clear representation of each process Disadvantage: computationally expensive (long simulation times) Simpler approaches to be explored using monitored data satisfactory Comparison of conventional drainage system and conventional drainage system w/ees Runoff volume infiltrated by the EES significant (>80%) Minor system peak flows reduced Maximum pipe capacity utilization still high with EES (large events) Maximum storage trench utilization ranging between 50% and 70%, indicating trench inflow capacity as a limiting factor (?) Drastic modification in Flow-Duration curves and water balance More analysis of existing results Optimization of placement/sizing of perforated pipes Physical modelling of the system for further development

20 Questions? Acknowledgements: Carol Liu, Town of Richmond Hill