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Urban Water Security Research Alliance Can Stormwater Harvesting Restore Pre-Development Flows in urban catchments in South East Queensland? Stephanie Ashbolt Stormwater Harvesting and Ecohydrology Science Forum, 19-20 June 2012 CONTENTS


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Can Stormwater Harvesting Restore Pre-Development Flows in urban catchments in South East Queensland? Stephanie Ashbolt

Stormwater Harvesting and Ecohydrology

Science Forum, 19-20 June 2012

Urban Water Security Research Alliance

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CONTENTS

  • Introduction – the problem
  • Aim of this work
  • Method – data, simulation modelling
  • Results – simulation analysis
  • Conclusions – how results relate to project

aims

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INTRODUCTION: THE PROBLEM

Urbanisation or development of a catchment increases impervious surfaces, leading to:

  • Increased surface runoff
  • Reduced infiltration to

groundwater Which means:

  • Increase in frequency,

magnitude and duration

  • f flow events
  • Increased erosion,

changes to creek morphology

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THE SOLUTION? Flow Frequency Management Objectives

Designed to mitigate increase in frequency and magnitude of flow in urban developments. From the proposed development, capture and manage:

– The first 10mm of runoff (per day) from impervious surfaces where the total impervious surface is 0 to 40% – The first 15mm of runoff (per day) from impervious surfaces where the total impervious surface is greater than 40%

In other words, capture a volume equal to:

– Impervious area (m2) x target design runoff capture depth (mm/day) x 1000

Manage captured stormwater using one or more of:

– Stormwater evaporation – Stormwater reuse (including rainwater collection and use) – Infiltration to native soils or a bioretention system – Flow diversion

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AIM 1 Assess the effect of urbanisation on the flow regime 2 Assess the effect of Flow Frequency Management Objectives in restoring predevelopment flows, for a range of urbanisation extents Use calibrated and validated catchment models

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DATA COLLECTION AND ESTIMATION

  • Rainfall: 0.2mm instantaneous tipping

bucket rain gauge

  • Stream level: 6 minute pressure transducer
  • Rating curves: cross-section

measurement, flow rate vs height (current meter, acoustic doppler current profiler), Hydstra software

  • Impervious area: automated analysis of

aerial photos

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UPPER YAUN CREEK

Area: 362ha TIA: 3% ToC: 1.9 hours Slope: 6.8%

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SCRUBBY CREEK

Area: 144 ha TIA: 0% ToC: 1.1 hours Slope: 2.9%

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TINGALPA CREEK

Area: 2785 ha TIA: 1% ToC: 8.25 hours Slope: 0.9%

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SIMULATION MODEL: SWMM

Calibration: 18 months streamflow and rainfall data Hourly timestep Shuffled complex evolution algorithm (Matlab) Performance metric: Nash Suttcliffe Criterion of Efficiency

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SIMULATION MODELLING SCENARIOS Various degrees of urbanisation:

  • Predevelopment (0% impervious)
  • Existing
  • 5, 10, 15, 20, 40, 50, 60, 70% impervious

Above with runoff capture according to FFMOs

capture volume = %IA*catchment area*10/15mm

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RESULTS: YAUN CREEK URBANISATION

5 10 15 1e-03 1e-02 1e-01 1e+00 1e+01

Runoff at catchment outlet

Percent time hourly runoff is exceeded (%) Hourly runoff (m^3/s) 0 % existing (3%) 5 % 20 % 40 % 50 % 70 %

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RESULTS: YAUN CREEK FLOW CAPTURE

5 10 15 1e-03 1e-02 1e-01 1e+00 1e+01

Runoff at catchment outlet

Percent time hourly runoff is exceeded (%) Hourly runoff (m^3/s) 0 % 5 % 5% with capture 20 % 20% with capture 40 % 40% with capture 70 % 70% with capture

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RESULTS YAUN CREEK 90TH PERCENTILE FLOW

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1 0% impervious 5% impervious 5% impervious with runoff capture 20% impervious 20% impervious with runoff capture 40% impervious 40% impervious with runoff capture 50% impervious 50% impervious with runoff capture 70% impervious 70% impervious with runoff capture 90th percentile hourly flow (m3/s)

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RESULTS YAUN CREEK HIGH FLOW SPELLS

1 2 3 4 5 6 0% impervious 5% impervious 5% impervious with runoff capture 20% impervious 20% impervious with runoff capture 40% impervious 40% impervious with runoff capture 50% impervious 50% impervious with runoff capture 70% impervious 70% impervious with runoff capture High flow spell duration (% of record) Mean of high flow spell (m3/s)

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RESULTS: SCRUBBY CREEK URBANISATION

5 10 15 1e-03 1e-02 1e-01 1e+00 1e+01

Runoff at catchment outlet

Percent time hourly runoff is exceeded (%) Hourly runoff (m^3/s) 0 % 5 % 20 % 40 % 50 % 70 %

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RESULTS: SCRUBBY CREEK FLOW CAPTURE

5 10 15 1e-03 1e-02 1e-01 1e+00 1e+01

Runoff at catchment outlet

Percent time hourly runoff is exceeded (%) Hourly runoff (m^3/s) 0 % 5 % 5% with capture 20 % 20% with capture 40 % 40% with capture 70 % 70% with capture

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RESULTS SCRUBBY CREEK 90TH PERCENTILE FLOW

0.0002 0.0004 0.0006 0.0008 0.001 0.0012 0.0014 0.0016 0.0018 0.002 90th percentile of hourly flow (m3/s)

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RESULTS SCRUBBY CREEK HIGH FLOW SPELLS

0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 High flow spell duration (% of record) Mean of high flow spell (m3/s)

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RESULTS: TINGALPA CREEK URBANISATION

10 20 30 40 50 60 0.01 0.05 0.10 0.50 1.00 5.00 10.00

Runoff at catchment outlet

Percent time hourly runoff is exceeded (%) Hourly runoff (m^3/s) 0 % existing (1%) 5 % 20 % 40 % 50 % 70 %

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RESULTS TINGALPA CREEK FLOW CAPTURE

10 20 30 40 0.01 0.05 0.10 0.50 1.00 5.00 10.00

Runoff at catchment outlet

Percent time hourly runoff is exceeded (%) Hourly runoff (m^3/s) 0 % 5 % 5% with capture 20 % 20% with capture 40 % 40% with capture 70 % 70% with capture

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RESULTS: TINGALPA CREEK MEAN and 90TH PERCENTILE FLOW

0.1 0.2 0.3 0.4 0.5 0.6 0.7 Average of mean hourly flow per day (m3/s) Top 90th percentile of daily flow (m3/s)

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RESULTS TINGALPA CREEK HIGH FLOW SPELLS

1 2 3 4 5 6 7 8 9 10 High flow spell duration (% of record) Mean of high flow spell (m3/s)

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CONCLUSIONS

Generally: There is an increase in flow magnitude, frequency and duration with urbanisation. Flow capture according to FMMOs is able to reduce this impact towards a lower effective urbanisation. However: Flow frequency management objectives do not return to predevelopment for these catchments.

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ACKNOWLEDGEMENTS

Co-authors:

Santosh Aryal Kevin Petrone Brian McIntosh Shiroma Maheepala

With help from:

Richard Gardiner Rezaul Chowdhury

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Urban Water Security Research Alliance THANK YOU www.urbanwateralliance.org.au