Enhancing Water Use Efficiency in Canal Irrigated systems

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Enhancing Water Use Efficiency in Canal Irrigated systems

April 9, 2013 Anju Gaur (agaur@worldbank.org)


Water Resources Potential Rainfall BCM River runoff

1869 BCM

Current use

656 BCM

Surface Water Ground water Total available

4000 690 BCM 432 BCM 1122 BCM


Projected Water Demand (BCM) Water

2010

2025

2050

demand Domestic

43

62

111

Irrigation

557

611

807

Industry

37

67

81

Energy

19

33

70

656

773

1069

Total

Agriculture/irrigation is the largest user Sources: Central Water commission, †Adapted from Thatte et al. (2009)


Agriculture is the largest user of water with 40% irrigated area Net Sown area= 141 M Ha (2001-02) Irrigated = 55.1 M Ha (16 M Ha Canal against potential of 22 M Ha) Canal Irrigated area

India targets to enhance WUE by 20%.

CWC

Biradar et al)


-

Various Challenges where WUE : TypesCentral and scale

- Potential to improve WUE: Global values - Intelligent system for Planning and design of measures - Modernized Monitoring system for accountability - Incentives for Institutional reforms


Water Use Efficiency

Also known as Water productivity (WP)

GoI targets to enhance efficiency by 20%


Water Use Efficiency

Numerator (kg or $) [Note: for each plot or field or canal system] Biomass (kg) = biomass (kg/m2) * area (m2) Yield (kg) = grain yield (kg/m2) * area (m2) Value ($) = value of grain ($/m2) * area (m2) Denominator (m3) [Note: ideally for each plot or field or area Water use (m3) = ET measured in the field = inflow into field-outflow from field-infiltration/base flow Note: inflow can include: precipitation (rainfall + snowfall) + irrigation (surface water+ ground water) Water use (m3) = ET actual measured in the field or Seabal or other


What is the scale of WUE (WP)? System Scale Crop Yield (ET+ losses) Field Scale Crop yield ET Water course

Irrigation system efficiency = 30%


Spatial Variability within the Field WPMRice (kg/m3) Rice < 0.01

Rice > 3.32

WPMCotton (kg/m3) Cotton < 0.01

Cotton > 1.32

WPMWheat (kg/m3) Wheat < 0.01

Wheat > 2.00


5

Tertiary system and Outlets

15

Field Channels

25

Water lost in the field

25

Water available for crop

30

Farmers

Primary and Secondary system

Engineers

Losses in Irrigation System


Where to Increase Water Productivity

Losses


Water Productivity of Wheat France and Germany score the highest: 1.42 and 1.35 kg m−3 India: 1.0 to 1.4 kg m−3

Zwart et al (2010) http://www.sciencedirect.com/science/article/pii/S0378377410001861


Global Crop Yield In India, Wheat has almost reached its potential Rice and Maize are still on rising stage


Water Productivity in Indo-Gangetic Basin Rice 3

Global: 0.7-1.1 Kg/m

00.9. 955 -

- 00 .0.09 9

Source: Water, poverty and livelihoods in the Indo-Ganges Basin http://cpwfbfp.pbworks.com/w/page/5927019/Water,%20poverty%20and %20livelihoods%20in%20the%20Indo-Ganges%20Basin


Various factors to enhance effective water use Investment projects target majority of them

http://www.slideshare.net/WaterManagementForum/water-use-efficiency-12868734


Intelligent System to design the measures for Enhancing WUE


What is the Baseline? Need Water Resources Information System (WRIS) http://www.india-wris.nrsc.gov.in/

World Bank funded Hydrology Project 2 has been targeting to modernize hydro-meteorological monitoring system and provide real time data.


Moving to Modern Real-time Hydromet Systems

Precipitation (rain & snow)

Data Transmission (e.g. Satellite, Fixedline/ Cellphone, Radio Telemetry)

Reservoir Levels

Data

River/canal Stage/Discharge/ GenerationSediment

Bottom-up+Top-down

Data Visualization & Use

Internet/ Intranet


Planning and design Interventions: Water Productivity in Indo-Gangetic Basin Intervention analysis:

- Irrigation scheduling is found to be the potential intervention for crops like rice, wheat, tomato and sugarcane. - Sugarcane and mustard in cropping system could enhance water productivity in the IGB. - For maize and oilseeds, use of hybrid seeds holds potential. - Use of quality seeds is critical for many crops like, potato.

-

World Bank funded Hydrology Project 2 has been developing decisoin support system for water resources planning and management in nine river basins. Source: Water, poverty and livelihoods in the Indo-Ganges Basin http://cpwfbfp.pbworks.com/w/page/5927019/Water,%20poverty%20and - - In World Bank projects Linking planning with remote sensing applications. %20livelihoods%20in%20the%20Indo-Ganges%20Basin


World Bank Projects: Reliability, Farmer first When will I get the water in my canal?

Real time information update

Planned and actual Roster of Jaunpur Branch

Can be made available to Farmer or control room through mobile technology on real time


Modernize Canal Monitoring and regulation system (has been quite challenging)

IGNP, Rajasthan and Ghatprabha systems, Karnakata has introduced real time Canal monitoring system


Monitoring System and accountability (Introduce Intervention based parameters to monitor the impact)


Water Use Efficiency: Institutions (Roles) Agricultural Department (sowing time, inputs, marketing),

Farmers/ Water Users Associations (WUAs)

Water Resources Department : Irrigation, Groundwater


Performance Monitoring Accountability and Improved Service Delivery

W a t e r c o u r s e

Customer (Farmer) Satisfaction Survey?


Performance Monitoring Case Study: UP Water Restructuring Project Phase 1



Impact Assessment of UPWSRP 1 Free remote sensing imageries (MODIS, LANDSAT) Land Use Map of the Jaunpur Canal Command area and Sultanpur Control Area Land Use Class Head Middled Tail Kharif only 24,041 19,974 Rabi only 3,806 16,266 Zaid only 558 1,490 Multiple crops 83,879 96,820 Plantation/orchards 1,016 1,456 Waterbodies 4,864 2,386 Fallow and others 16,299 15,603 Total 134,464 153,995

2008-09 Jaunpur

Sultanpur (Control)

0

Âľ 5 10

20

Kilometers

30

12,276 39,388 3,262 82,541 662 1,727 19,016 158,873

Non-CA JBS Total Control 6,391 62,683 111,627 32,600 92,061 68,929 3,643 8,953 8,738 34,026 297,265 364,229 21 3,156 606 889 9,867 39,733 17,015 67,933 83,201 94,585 541,917 677,063


Impact of Irrigation measures on equitable distribution Cropping intensity = (Gross cropped area / Net sown area) x 100 Net Swon Area Gross Cropped area Cropping Intensity GW Zones 2004-05 2008-09 2004-05 2008-09 2004-05 2008-09 Head 91,786 112,284 134,829 196,163 146.90 174.70 Middle 121,679 134,551 181,955 231,371 149.54 171.96 Tailend 129,835 137,468 185,934 220,009 143.21 160.04 Non-CA 70,939 76,660 93,070 110,685 131.20 144.39 JBS Total 414,239 460,962 595,788 758,227 143.83 164.49 Contral 524,545 553,523 795,741 917,752 151.70 165.80


Kharif 2004-05 Length of Growing Season

Kharif 2008-09 Length of Growing Season

Impact of Irrigation and Agronomic Measures Rabi 2004-05on Crop Calender Rabi 2008-09 Length of Growing Season

Length of Growing Season


Relative (indicator) crop productivity maps Kharif 2008-09 Kharif 2004-05

0 5 10

20

30

0 5 10

20

30

Finally Impact on Crop Yield

Kilometers

Kilometers

Rabi 2008-09 Productivity

Rabi 2004-05 Productivity

0 5 10

20

Kilometers

30

0 5 10

20

Kilometers

30


Incentivize for Institution reforms


Institution Reforms

How to convert the Irrigation department into water management agency?

Introduce Benchmarking system for irrigation and sub-irrigation systems. Advance training/exposures. Other recognition measures


Benchmarking of WUAs http://www.wua-india.org/index.php/en/


China Case Study: Hai Basin


China: Potential to Increase Water Productivity in Hai Basin


Where to Increase Water Productivity in Hai Basin

105 105 mm


Integrated measures  AGRONOMIC MEASURES  deep ploughing  straw and plastic mulching  drought resistant strains and agents  ENGINEERING MEASURES  low-pressure distribution pipes  drip and micro-sprinkler application technology  land levelling  MANAGEMENT MEASURES  improving irrigation forecasting and scheduling  refining soil moisture control


Results of Using Satellite Technologies to Reduce ET Actual ET Before Project

Actual ET After Project

From 600900 To 400-800


Conclusions - Setup a planning and monitoring cell using modern tools -

Improve WRIS to serve the purpose

-

Use remote sensing applications.

-

Determine system specific interventions for investments.

-

For performance benchmarking of irrigation systems.

- Introduce WUE with sub-indicators with respect to interventions. - Introduce incentives for Institution


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