Hill Country Irrigation Project: North Otago Field Trials Carolyn Hedley, Seth Laurenson, Jagath Ekanayake, Pierre Roudier collaborating with.

Slides:



Advertisements
Similar presentations
Water Budget IV: Soil Water Processes P = Q + ET + G + ΔS.
Advertisements

Infiltration and unsaturated flow Learning objective Be able to calculate infiltration, infiltration capacity and runoff rates using the methods described.
Management for Water Yield Basic treatments –Removal of woody vegetation –Weather modification –Construction of “catchments”
What is the most appropriate irrigation method. Key issues capital v. recurrent costscapital v. recurrent costs salinisation risk,salinisation risk, uniformity,uniformity,
Louisiana Yards and Neighborhoods Water Efficiently!
Improvement of Water Resources Management in Egypt Hesham Moustafa.
Permeable Heavy Use Area for Livestock Farms Presentation for Kitsap County DCD, September 28 th, 2006, Lab Test Findings and Calculated Storm Water Performance.
z = -50 cm, ψ = -100 cm, h = z + ψ = -50cm cm = -150 cm Which direction will water flow? 25 cm define z = 0 at soil surface h = z + ψ = cm.
Using Land Capability Classifications
Engineering Hydrology (ECIV 4323)
In the news... You might have heard about Toledo, Ohio’s drinking water problems this summer. A toxic algae bloom in Lake Erie contaminated the cities.
Runoff Processes Reading: Applied Hydrology Sections 5.6 to 5.8 and Chapter 6 for Tuesday of next week.
Additional Questions, Resources, and Moving Forward Science questions raised in the development of a science assessment Effect of Conservation Tillage.
4 th International Symposium on Flood Defence, 6 th – 8 th May 2008, Toronto, Canada Efficiency of distributed flood mitigation measures at watershed scale.
Conservation Planning Existing Center Pivots Illinois NRCS Training December 6, 2011 Springfield, Illinois Runoff Assessment CPNozzle.
Watershed Delineation and Characteristics on Alaska’s North Slope Matt Khosh University of Texas at Austin Department of Marne Science.
OVERSEER® NUTRIENT BUDGETS AND IRRIGATION David Wheeler 1, John Bright 2 1 AgResearch, Hamilton 2 Aqualinc, Christchurch.
Soil Texture Size or combination of sizes of the soil particles Influences how much water soaks into the soil versus how much runs off the surface and.
Surveying Survey measurements can be represented graphically: diagrams; maps; profiles; and cross sections. And to determine: locations; directions; areas;
Operating, Calibrating, and Maintaining Irrigation Systems
Irrigation Application Rate and Production under Centre- pivots Irrigation Application Rate and Production under Centre- pivots Ian McIndoe.
Irrigation and Drainage Topic 2071 Created by Torey Birchmeier
Digital Elevation Model based Hydrologic Modeling Topography and Physical runoff generation processes (TOPMODEL) Raster calculation of wetness index Raster.
The hydrograph for Ten Mile Creek is shown to the right. Hydrographs are calculated for each of the 30 Subcatchments. Radar data is used to create rainfall.
Factors that Influence Erosion
Data for Irrigation Modelling Hector M Malano. Outline Modelling: what processes? What data gaps are there? Frequency of collection Level of disaggregation.
Push-Up Greens Drainage: Visualized You know you have poor drainage when you see: Dr. Ed McCoy Ohio State University Water on the surface hours after a.
NextEnd. INTRODUCTION Grapes can be grown on a variety of soil types. However, the highest vine vigor and yield and the most efficient production are.
Arid Zone Hydrology.
RAINFALL AND RUNOFF IN RELATION TO EROSION Introduction Rainfall & runoff relationships relevant for design of: terraces water harvesting interception.
Modeling Variable Source Area Hydrology With WEPP
Saturated Hydraulic Conductivity at Shale Hills CZO AUTHORS: ANNA SCHWYTER, MEAGAN REDMON, HENRY LIN, NEIL XU, NATIONAL SCIENCE FOUNDATION, PENNSYLVANIA.
Soil Productivity and Conservation THE GMIS. Importance of Soil As the key resource in crop production It supports the physical, chemical, and biological.
Towards a Better Design of Micro-Catchment Water Harvesting Schemes.
Precision Farming Using Veris Technologies for Texture Mapping
Estimating Soil Moisture by Appearance and Feel
Can higher flow rates improve performance of border-check irrigation in the Murray Dairy Region? Mike Morris, Amjed Hussain, Malcolm Gillies.
Tile Drainage Precision Agriculture Soil 4213 Billie McKean April 27, 2007.
Evaluation of Potential Water Conservation Using Site-specific Irrigation Kenneth Stone and Phil Bauer USDA-ARS, Florence, SC.
Sources of streamflow from hillslopes Baseflow streamflow maintained by groundwater contributions Stormflow Augmented by direct precipitation on saturated.
Watersheds Chapter 9. Watershed All land enclosed by a continuous hydrologic drainage divide and lying upslope from a specified point on a stream All.
LandJudging in Oklahoma
DRAINMOD APPLICATION ABE 527 Computer Models in Environmental and Natural Resources.
Planning Certainty A challenge for Investment April 2014 Tom Chesson – CEO Australian national Irrigators Council Murray Smith – Principal Engineer, Agriculture.
Precision Ag and Conservation Precision Ag Technologies are most often developed to increase efficiency and decrease input cost However, they provide great.
Introduction to the TOPMODEL
West Hills College Farm of the Future The Precision-Farming Guide for Agriculturalists Chapter Four Soil Sampling and Analysis.
PRECISION IRRIGATION BY: CHARLES SLOUGH SOIL 4213.
Irrigation – Does Variability Matter? Irrigation – Does Variability Matter? Ian McIndoe Fraser Scales.
7. Hillslopes; surface erosion and mass movements
Kristina Schneider Kristi Shaw
N.L Mufute , LWRM, MSU / PRELIMINARY DESIGN STEPS AND SPRINKLER SELECTION –EXAMPLE ON PERIODIC-MOVE SYSTEMS N.L.
Why is a study of soil important? 90% of the world’s food comes from land- based agriculture. Maintenance of soil is the cornerstone of sustainable civilizations.
6.12a DESIGN APPROACH ON BILILO SPATE IRRIGATION PROJECT Presented by Eyob Yehayis.
Lesson Understanding Soil Drainage Systems. Interest Approach Ask students the question, “What determines how fast water will flow through a funnel?”
6. Drainage basins and runoff mechanisms Drainage basins Drainage basins The vegetation factor The vegetation factor Sources of runoff Sources of runoff.
Topography Its Influence on drainage, organic matter accumulation, and profile development.
Introduction to Overhead/Sprinkler Irrigation Design
Sanitary Engineering Lecture 4
Water Budget IV: Soil Water Processes P = Q + ET + G + ΔS.
Soil & Land resources Objective: Evaluate soil properties that affect land use in agricultural and urban areas.
Soil Physical Properties Used to Assess Soil Quality
Simulation of stream flow using WetSpa Model
Kristina Schneider Kristi Shaw
Infiltration and unsaturated flow (Mays p )
Introduction to Overhead/Sprinkler Irrigation Design
Digital Elevation Model based Hydrologic Modeling
Environmental Modelling with RASTER DEMs: Hydrologic Features
Precision Ag Precision agriculture (PA) refers to using information, computing and sensing technologies for production agriculture. PA application enables.
Break !!! Break Time Cornell Short Course 1/20/2009.
Presentation transcript:

Hill Country Irrigation Project: North Otago Field Trials Carolyn Hedley, Seth Laurenson, Jagath Ekanayake, Pierre Roudier collaborating with

NOIC scheme Opened in 2006 Series of pump stations, canals, pipes and a natural waterway Scheme delivers Waitaki River water to > 10,000 ha of productive farmland Pressurised water to the on-farm off-take Projected 300% increase in gross revenue output 60% under dairying, with sig. conversion from sheep/beef 3.5 mm/ha/day (

Hill Country Irrigation Project 3-yr SFF project led by Irrigation NZ, with inputs from North Otago Irrigation Company, Aqualinc, AgResearch, Landcare Research Setting Good Management Practice Guidelines to Assist Hill Country Irrigation Performance Literature review, field trials and a final report “Hill country” is estimated at 13.9 million hectares, or 52% of NZ’s land area (NZLRI)

(Manderson, 2010) Farmed pastoral hill country based on NZLRI hill country and LCDB3 land cover.

Field trials (1) Glenn Settlement [run-off measurements] (2) McCarthy’s Pivot [ variable rate irrigation trials]

Glenn Settlement field trials

Traditionally drought prone region Timaru Silt Loam (Pallic soils) Shallow (approx mm) Free-draining topsoil on imperfectly drained subsoil Land Use Intensification Need to fine tune irrigation Surface water quality major issue 1)minimise water and nutrient losses 2)maintain productivity very low permeability rapid drainage

Glenn Settlement catchment (~1.5 ha) Pivot – uniform rate irrigation North Otago Rolling Downlands Measurements Irrigation depth run-off volumes depth of soil profile saturation

m fragipan 0 Slope characteristics runoff Infiltration excess saturation excess Profile Available Water (mm) Top55 Crest43 Upper50 Lower74 zone of saturation piezometer

runoff (~20% of applied) irrigation Runoff – a result of saturation excess conditions at base of slope Water monitoring Glenn Settlement Zone of saturation (mm)

Excess water (along fragipan) Saturation excess conditions somewhere along the slope fragipan Variation in soil depth increases risk of over watering Potential reasons for saturation excess Blue dye indicates high probability of preferential flow Excess water from catchment likely to be generated from areas with shallow soil Intact monoliths 20 mm irrigation applied

McCarthy’s Variable Rate Centre Pivot

Case Study: Variable Rate Irrigation 490 m pivot, with variable rate modification Waiareka clay loams – strongly structured soils Electromagnetic (EM) soil survey Available Water-holding Capacity Map Soil moisture monitoring Precision scheduling to avoid drainage and run-off MAP MONITOR MANAGE

Exclusion area

Electromagnetic (EM) soil survey delineates soil texture and moisture differences used to define sampling positions Used for spatial modelling of topsoil depth and available water-holding capacity Used to define management zones Survey by Agri-Optics

Digital elevation map derived from the EM soil survey - Extracted slope, aspect and a wetness index

% 44%24% SLOPE CLASSIFICATION

Sampling positions derived from the covariate datalayers EM 1m EM 0.5m Elevation Flow pathways Slope Wetness index

Topsoil depth Available water Scheduling guided by monitoring SOIL MOISTURE STATUS PAW_60 (mm) Top80 Midslope 78 Toeslope 80 Bottom TOPSOIL DEPTH (cm) Top 14 Midslope 28 Toeslope 38 Bottom 43

Soil moisture monitoring Soil moisture sensors installed into management zones Wireless nodes transmit soil moisture data in real-time to a web browser Information guides irrigation scheduling, aiming to maintain soil moisture in the optimum range NORTH FACING SOUTH FACING SUMMIT VALLEY FLOOR (

upper slope mid slope lower slope south facing valley floor north facing - midslope summit TOPSOIL SUBSOIL

Results of trials Irrigation scheduled to maintain soil moisture between FC and RP, with little to no run-off or drainage Irrigation reduced to south-facing slopes, hill-tops and excluded from swampy valley floors = 27% water saving 30L/s reduced to 24L/s sometimes 11L/s Savings ~$18,000 for pivot area in first year (pay-back on VRI is 3-5 years) Improved soil condition, pivot did not get stuck in boggy area, likely yield increases, although not measured or included in calculations

Where system allows - identify and vary irrigation to land management units (e.g. crests, slopes, swampy valley floors) Avoid over-watering, i.e. reduce depth of irrigation and increase frequency of return Monitor soil moisture, and maintain in the optimum range Manage to minimise surface compaction (e.g. restrict grazing on wet soils ) Hillslopes require some different management strategies to flat land – topography sometimes overrides soil differences Water runs downhill (overland and through the soil)! Management options to reduce excess water