Post on 22-Feb-2016
description
Irrigation – Does Variability Matter?
Ian McIndoeFraser Scales
Background
• With irrigation, we have to get SMARTer!– Production– Drainage (due to irrigation AND rainfall)– Allocation limits/ water use– Other factors, e.g. energy
• We need irrigation to be well-designed and well-managed
• Design sets the platform for high performance
The challenge
• We live in an imperfect world• Variability is a fact of life• Variability has to be accommodated in both
design and management• Optimum solutions are site specific
What variability?
• Climatic – rainfall, wind, humidity, temperature
• Agronomic – crop, stage, physical composition, actual water use
• Soils – PAW, infiltration, depth to pans, surface storage
• Topographical – shape, slope, infrastructure, natural features
What variability?
• Water supply – reliability, quantity, quality• Irrigation system – components, pressure,
flow, uniformity, application intensity• Management – timing, depth applied
• Given this, how can we deal with variability to deliver SMART irrigation?
Climate
• Generally, good historical data is available – useful for determining design specs and overall need
• For rainfall, need to make full use of local data
Wind speed
Wind speed
Temperature
Agronomic
• Currently, mostly standard values used to determine crop water need
• Improved data is being produced – e.g. grazed pasture crop factors
• Need for irrigation systems to be designed to better match crop needs
Soils • Currently, soil maps often used (e.g. S Map)• Need better information on soil properties
and variability of soils on farm– PAW and its variability– Depth to pans/ lower hydraulic conductivity
horizons
• How much does PAW variability matter?
Soil PAW variability
Soil PAW variability
Topography
• Slope matters more than you might think• Very few paddocks are actually flat• Surface redistribution is very common• Need to tailor design and management to
maximise benefits
• Land levelling under spray irrigation?
Application uniformity
• Is about how evenly water is being applied to the ground surface
• Easily checked using bucket tests• Low uniformity usually leads to low
efficiency
Spray irrigation bucket test
Application uniformity
Application uniformity
Ponding and surface redistribution
• Probably the biggest contributor to low irrigation performance
• Can generally be observed• Driven by application intensity and depth
applied• Particularly an issue on slopes• Needs full consideration in irrigation design
and management.
Ponding under pivot
Ponding
Application intensity
Application intensity
Supply reliability
• Impacts on irrigation mind set – just in case versus just in time
• Impacts on production, water use, drainage
• Need to have high reliability to achieve high performance
Irrigation system
• Irrigation method• Pressure variability - tradeoffs• Flow variability
– issue with VRI, corner arms, multiple pumps• Voltage variability• INZ Codes of practice – design, installation
Performance – 60 mm PAW
Performance – 60 mm PAW
Performance – 120 mm PAW
Performance – 120 mm PAW
Irrigation management strategies • Depth of water applied• Return interval• Seasonal limits• Where and how irrigation is scheduled
• A lot of work has been done and is being done in this area.
• Weather forecasting will be critical!
Effect of scheduling location
Conclusions • We need to become SMARTer irrigators• Variability does matter in some areas• We need to focus on production, water use
and drainage • Better engineering will be required
– in the factory: new or improved irrigation methods– in the design shop
• We need to target application uniformity• We need to target surface redistribution
Priorities
• What is easy and cost-effective to implement?– Some things are well understood– Some things need to be better communicated to
end users– Some things require further investigation
• We can achieve our targets, but its not going to be easy.
Questions
Temperature
Centre-pivot