assessing irrigation conveyance losses: case studies of ahero & bura irrigation schemes
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ASSESSING IRRIGATION CONVEYANCE LOSSES: CASE STUDIES of AHERO & BURA IRRIGATION SCHEMES. A COLLABORATIVE RESEARCH PROJECT BETWEEN NIB AND UON By Gichuki F., Maina D ., S. M. Muturi and Wanjogu R. K. Date: 13 th JUNE 2013. Presentation outline. Introduction Objectives - PowerPoint PPT PresentationTRANSCRIPT
ASSESSING IRRIGATION CONVEYANCE LOSSES:
CASE STUDIES OF AHERO & BURA IRRIGATION SCHEMES
A COLLABORATIVE RESEARCH PROJECT BETWEEN NIB AND UON
ByGichuki F., Maina D., S. M. Muturi and Wanjogu R. K.
Date: 13th JUNE 2013
Ahero, Bura and Mwea Irrigation Schemes case studies
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PRESENTATION OUTLINE Introduction Objectives Methodology Research results Acknowledgements
AIS & BIS water loss study-NIB & UON
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INTRODUCTION Irrigation in Kenya faces serious challenges which
have negatively affected the productivity, profitability and sustainability of most irrigation schemes. The following is a partial listing of the main challenges High pumping costs; High levels of siltation; unpredictable flooding & drought High conveyance and application losses; High mismatch between water demand and supply; Inadequate drainage of excess water and removal of excess
salts; and Inequity in water delivery in different irrigation blocks and
irrigated fields. Inadequate irrigation skills among farmers and other
stakeholdersSource: NIB Strategic Plan 2008-2012
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NIBS STRATEGIC DECISIONS NIB has prioritized research on irrigation water
loss and has consequently included it as a global PC target FY 2012/13. This is a logical step in any water management improvement initiative
Cognizant of these challenges, NIB + UON – College of Architecture and Engineering have developed a comprehensive research program to improve performance of irrigated agriculture through better irrigation water management.
Phase I of the research will focus on water conveyance losses
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AIS & BIS water loss study-NIB & UONGOALS OF NIB-UON RESEARCH COLLABORATION
Specific goal RationaleReduced water loss
Reducing water loss will secure water for expansion of irrigated area, enhancing equitable distribution, reduce operation and maintenance costs and avail water for downstream users
Enhance equitable water distribution
Enhancing equitable water distribution will reduce water use conflicts and enhance payment of operation and maintenance fees
Reduce operation and maintenance costs
Reducing costs will enhance recovery of operation and maintenance fees
Enhance production and profitability
Enhanced production and profitability will enhance poverty reduction outcomes of irrigated agriculture
Reduce environmental degradation
Enhance sustainability through reduced in-scheme land and water degradation and by securing water for downstream ecosystems.
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AIS & BIS water loss study-NIB & UONRATIONALE FOR CONVEYANCE SYSTEM RESEARCH:
Low efficiency (30-70%) of conveyance and distribution system with major implications on:Scheme water intake sub-systemOperation and maintenance of
conveyance sub-systemOn-farm sub-system
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OBJECTIVESOverall goal: To generate and enhance utilization of data,
information and knowledge on irrigation water management in ways that promote innovation and effective and efficient utilization of the resources.
Specific objectives To quantify conveyance and distribution water
losses in Ahero, Bura and Mwea Irrigation Schemes
Formulate strategies and plans for performance improvements
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AIS & BIS water loss study-NIB & UONKEY ISSUES THAT WILL ADDRESSED
1. Assess performance and opportunities and constraints for improving performance;
2. Identify innovative solutions that will enhance the performance of the water delivery and water application sub-systems;
3. Evaluate technical performance of the innovative solutions;
4. Evaluate costs and benefits of performance improvements;
5. Formulate strategies and plans for performance improvements;
6. Identify investment priorities; and 7. Propose financing/ options.
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METHODOLOGY: SYSTEM CHARACTERIZATION Task 1: Digitizing the network
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METHODOLOGY: SYSTEM CHARACTERIZATION Task 1: Digitizing the network
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METHODOLOGY: SYSTEM CHARACTERIZATION Task 1: Digitizing the network
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METHODOLOGY: SYSTEM CHARACTERIZATION Task 1: Digitizing the network
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KEY OUTPUTS: SYSTEM CHARACTERIZATION
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KEY OUTPUTS: SYSTEM CHARACTERIZATION
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UCA Length(km) Area(ha) Canal density m/ha
U1 6.76 136.48 49.56U2 5.25 110.18 47.64U3 6.73 134.16 50.16U4 4.63 105.07 44.10U5 5.14 126.65 40.58U6 3.30 59.94 55.01U7 5.69 107.73 52.80U8 5.23 120.94 43.24U9 3.65 70.10 52.04U10 3.16 61.18 51.60U11 2.49 44.41 56.03GrandTotal 64.48 1,076.85 59.88
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KEY OUTPUTS: SYSTEM CHARACTERIZATION
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KEY OUTPUTS: SYSTEM CHARACTERIZATION
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UCA Length (km)
Area (ha) Canal densitym/ha
MainCanal 69.01 2,641.55 26.12U1 27.54 196.32 140.27U2 29.04 550.74 52.72U3 33.19 433.09 76.63U4 53.80 1,044.01 51.53U5 16.74 361.64 46.29U6 6.40 55.73 114.83Total 166.71 2,641.55 63.11
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KEY OUTPUTS: SYSTEM CHARACTERIZATION
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KEY OUTPUTS: SYSTEM CHARACTERIZATION
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UCA Length(km) Area(ha) Canallengthm/haMIAD 7.77 90.00 86.34M10 3.51 33.00 106.27M9 5.92 51.00 116.04M11 2.98 48.00 61.99M17 8.92 139.00 64.14M12 5.06 77.00 65.66M13 4.19 68.00 61.58M14 8.11 106.00 76.48M15 4.84 47.00 103.03M16 10.88 132.00 82.43H18 8.99 115.00 78.19H20 6.96 115.00 60.49H19 8.17 111.00 73.65M5 6.64 75.00 88.57M6 7.16 64.00 111.88M7 3.29 49.00 67.24M8 2.20 25.00 87.98M1 9.05 80.00 113.16M2 3.24 41.00 79.01M3 4.67 53.00 88.17M4 10.47 132.00 79.28H1 4.44 73.00 60.77H6 13.13 111.00 118.28H7 7.79 83.00 93.86H8 7.97 96.00 83.06H2 7.30 92.00 79.32H3 8.20 108.00 75.96H4 6.02 90.00 66.92H5 17.23 156.00 110.47W7 6.64 60.00 110.69W1 12.40 130.00 95.39W2 14.44 195.00 74.05W3 11.37 173.00 65.71W7 6.52 61.00 106.94W4 14.40 132.00 109.06W5 10.94 163.00 67.09W6 22.04 206.00 106.97K1 21.24 208.00 102.10K2 13.86 165.00 84.01K3 15.70 132.00 118.96K4 12.63 145.00 87.08K5 16.54 148.00 111.73K6 10.97 111.00 98.87K7 9.05 131.00 69.08K8 3.32 30.00 110.70
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METHODOLOGY: LOSS ASSESSMENT
AIS & BIS water loss study-NIB & UON
Canal loss mainly comprise of seepage, evapotranspiration (EVT) & leakages
The water balance (inflow/outflow) method will be used for quantifying canal loss-this will not interrupt irrigation program
Seepage rates will be measured using inflow/outflow, ponding and seepage meter methods
Calibration and possibly repair of all measuring/regulating canal structures will be necessary to facilitate flow measurements-critical in this study
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METHODOLOGY: LOSS ASSESSMENT
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METHODOLOGY: LOSS ASSESSMENT
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Ponding methodTo eliminate the effect of wind, the rate of drop should be measured at each end of the pool and averaged. Staff or hook gauges attached to existing structures or stakes driven into the canal bed should be used as shown in the figure below.
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PRELIMINARY RESULTS: LOSS ASSESSMENT
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Distance from point [m]
Depth [m]
Width [m]
Area [m^2]
Velocity 1 [cm/s]
Velocity 2
[cm/s]
Velocity 3
[cm/s]
Average
Velocity at Point [cm/s
]Discharge [m^3/s]
2.3 0 0 0 0 0 0.00 0.0002.1 0.25 0.2 0.05 23.5 24.1 20.2 22.60 0.0111.8 0.42 0.3 0.126 51.9 50.4 49.5 50.60 0.0641.5 0.47 0.3 0.141 44.2 40.3 39.5 41.33 0.0581.2 0.43 0.3 0.129 27.7 28 28.5 28.07 0.0360.9 0.35 0.3 0.105 22.1 22.1 21.6 21.93 0.0230.6 0.2 0.3 0.06 4.1 3.9 2 3.33 0.0020.4 0 0.2 0 0 0 0 0.00 0.000
Total Discharge [m^3/s] 0.195
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PRELIMINARY RESULTS: LOSS ASSESSMENT
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Site Offtake
Gross loss m/day
Efficiency
% loss to closed offtakes
Gross loss due to
INFILTRATION and EVAPO.
mm/day % %
Site 1 Site 2 0.094 0.98 0.70 28.05Site 3 0.358 0.89 0.80 71.53 Site 4 Site 5 0.470 0.88 0.85 70.48 Site 6
Site 7 0.707 0.51 0.90 70.73Site 8 Site 9 0.177 0.85 0.50 88.33
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METHODOLOGY: WATER BALANCE MODELING Thiba system linkages
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METHODOLOGY: WATER BALANCE MODELING Elements of the water balance model
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PRELIMINARY RESULTS: WATER BALANCE MODEL
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Unit IWR m3/day SL m3/day EL m3/day
Main Canals - 179.56 359.11
U1 11,792.28 32.47 64.94 U2 9,519.29 24.94 49.89 U3 11,591.65 33.99 67.99 U4 9,078.19 22.41 44.82 U5 10,942.63 25.11 50.23 U6 5,178.76 18.20 36.39 U7 9,308.14 27.12 54.24 U8 10,449.02 24.95 49.89 U9 6,056.82 16.48 32.97 U10 5,285.65 14.72 29.44 U11 3,837.36 12.04 24.08
Grand Total 93,040 432
864
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PRELIMINARY RESULTS: WATER BALANCE MODEL
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PRELIMINARY RESULTS: WATER BALANCE MODEL
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ON-GOING SIMULATION STUDIES Design, operation and maintenance issues for example what
is the effect of changes on cropping calendar and system layout
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ACKNOWLEDGEMENT The implementing team comprising of Dr. F.
Gichuki, R. Wanjogu, A. Owilla, D. Maina and S. Muturi wish to thank the General Manager, NIB for funding this project
Thank you
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