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Validation of the new B2B Bankless Channel Irrigation System model

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Presentation on theme: "Validation of the new B2B Bankless Channel Irrigation System model"— Presentation transcript:

1 Validation of the new B2B Bankless Channel Irrigation System model
Michael Grabham, R. Soppe, J. Hornbuckle, R. Smith and S. Raine

2 Outline System overview Hydraulic challenges B2B model
Bay-scale comparison Whole field simulations Conclusions

3 System Overview

4 System overview

5 System overview

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10 Why the system is being considered
Advantages Labour savings Can be automated Machine efficiency Expanded cropping options

11 Hydraulic challenges

12 Hydraulic challenges Variable inflow rates Variable bay sizes
Bay to bay hydraulic interaction

13 Hydraulic challenges Variable inflow rates
Volume balance approach used to determine surface storage and infiltrated volume Variable discharge complicates calculations

14 Hydraulic challenges Flow rate Time

15 Hydraulic challenges Variable bay sizes 60:100:40 bay ratios
Surface storage volume accumulation Interconnecting pipe size selection Drainage water minimisation

16 Hydraulic challenges

17 Hydraulic challenges

18 Hydraulic challenges Bay to bay hydraulic interaction
Calculate the available volumes Calculate inflow rates Select adequate bay dimensions Select adequate pipe sizes

19 B2B model

20 B2B model Current simulation models Single dimension Variable inflow
Recession phase limitations Assume free flowing drainage

21 B2B model Clemmens’ (2007) surface irrigation design approach
Volume balance principles Spreadsheet based Simultaneously solves for advance and inlet depth Uses fixed inflow

22 B2B model Darcy Weisbach equation

23 Darcy Weisbach equation
B2B model Clemmens’ Approach Darcy Weisbach equation

24 B2B model Model features Infiltration parameters
Bay or furrow inflow rates Manning n selection σy pre-defined Level furrow or bankless accommodated Target infiltration depth Up to nine bays can be simulated Several irrigation termination options Completion of advance After set delay After target infiltration depth achieved

25 Bay scale comparison

26 B2B – Bay Scale Discharge Errors from Measured winSRFR = 65%
SISCO = 65% B2B = 18%

27 B2B – Bay Scale Advance and recession

28 B2B – Bay Scale Infiltrated depth

29 B2B – Bay Scale Simulation discrepancies
Attributed to model assumptions Level water surface Friction ignored Infiltration during recession

30 Field simulations

31 B2B – Field Scale Advance and recession Bay 1 Bay 3 Bay 2

32 B2B – Field Scale Depth

33 B2B – Field Scale Inlet hydrographs

34 B2B – Field Scale Inlet cumulative hydrographs

35 Conclusions Novel approach taking into account bay-to-bay interaction
Enables simulation of multiple bay systems Discrepancies with known causes

36 Acknowledgements CRC IF Postgraduate scholarship
IAL and CRC IF Travel Fund grant CSIRO Land and Water, Griffith USQ, Toowoomba

37 Acknowledgements


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