Evaluation of Potential Water Conservation Using Site-specific Irrigation Kenneth Stone and Phil Bauer USDA-ARS, Florence, SC.

Slides:



Advertisements
Similar presentations
Dr. Adriana-Cornelia Marica & Alexandru Daniel
Advertisements

Badawi A. Tantawi INTEGRATED WATER MANAGEMENT IN RICE FIELDS EGYPT
1 Part B3: Irrigation B3.1 Irrigation techniques.
Antony Lenehan.  Site and soil  Effluent quality and quantity  Application systems- above ground or below ground  Crop/vegetation selection and.
Farmland Classification in Montana July 2008 Neal Svendsen Resource Soil Scientist USDA-Natural Resources Conservation Service Missoula, Montana.
Introduction to Irrigation Design Sprinklers – uniform application over entire area – lawns.
Drip irrigation in Finland Merja Myllys 1 and Osmo Purhonen 2* 1 MTT Agrifood Research Finland, Plant Production Research, FI Jokioinen, Finland.
Water Use of Southern Highbush Blueberry
Soil Conservation Service Runoff Equation
Forest Hydrology: Lect. 18
Additional Questions, Resources, and Moving Forward Science questions raised in the development of a science assessment Effect of Conservation Tillage.
By Kudzai F. Ndidzano Limpopo Basin Development Challenge (LBDC)
Conservation Planning Existing Center Pivots Illinois NRCS Training December 6, 2011 Springfield, Illinois Runoff Assessment CPNozzle.
I am sure you have heard about the farmer in Sidell, Illinois. After that fiasco with the cheese being left standing alone taking the blame for polluting.
Refine and Adjust the Design Parameters. © Irrigation Association Performance of Sprinkler Devices Depends on Soil type and slope Climatic conditions.
Dennis P. Lettenmaier Lan Cuo Nathalie Voisin University of Washington Climate Impacts Group Climate and Water Forecasts for the 2009 Water Year October.
IMPROVING WATER USE EFFICIENCY OF FIELD CROPS THROUGH REGULATED DEFICIT IRRIGATION Fadi Karam Lebanese Agricultural Research Institute Department of Irrigation.
New Legislation Act 148 – Water use reporting, mapping of groundwater information, consider need for addition legislation Act 177 – Water use conflict.
Scheduling irrigations for apple trees using climate data Ted Sammis Go to Home.
Alan F. Hamlet Dennis P. Lettenmaier JISAO Center for Science in the Earth System Climate Impacts Group and Department of Civil and Environmental Engineering.
Scheduling irrigations for lettuce using climate data Ted Sammis.
The Effect of Soil Hydraulic Properties and Deep Seepage Losses on Drainage Flow using DRAINMOD Debjani Deb 26 th April, 2004.
Irrigation Water Management
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.
Making sure we can handle the extremes! Carolyn Olson, Ph.D. 90 th Annual Outlook Forum February 20-21, 2014.
2010 Agricultural Water Resource Development Workshop Series HOW TO APPLY FOR ASSISTANCE “PRELIMINARY SITE ASSESSMENT – THE PROCESS”
Evapotranspiration Controllers in Florida
PALMS: Precision Agricultural-Landscape Modeling System Precision modeling to provide decision support for farmers PALMS is software designed to provide.
IRRIGATION WATER MANAGEMENT Rick Schlegel Irrigation Engineer USDA - NRCS.
Climate and management of alpine terraces Gabriele Cola, Luigi Mariani Università degli Studi di Milano Sondrio,2005 November 3.
OUTFLOW COMPONENTS. Evapotranspiration (EVAP) l Evapotranspiration is the result of surface water and soil evaporation and transpiration from the plants.
EVAPOTRANSPIRATION.
Field water balance of final landfill covers: The USEPA’s Alternative Cover Assessment Program (ACAP) William H. Albright Desert Research Institute, University.
Irrigation Water Management An essential ingredient of irrigation system –design –operation VERY important when applying animal waste.
IRRIGATION GUIDANCE FOR PLANNERS Rick Schlegel Irrigation Engineer USDA - NRCS.
Agriculture and Water Resources Cynthia Rosenzweig and Max Campos AIACC Trieste Project Development Workshop
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.
Assessing distributed mountain-block recharge in semiarid environments Huade Guan and John L. Wilson GSA Annual Meeting Nov. 10, 2004.
William Northcott Department of Biosystems and Agricultural Engineering Michigan State University June 26 th, 2009.
Institute of Hydrology Slovak Academy of Sciences Katarína Stehlová 6 th ALPS-ADRIA SCIENTIFIC WORKSHOP 30 April - 5 May, 2007 Obervellach, Austria Assessment.
Improving irrigation practice for growing vegetables on sandy soils Rohan Prince and Robert Deyl.
Optimizing Nitrogen and Irrigation Timing for Corn Fertigation Applications Using Remote Sensing Ray Asebedo, David Mengel, and Randall Nelson Kansas State.
Understanding How Soils Affect Grazing Bob Hendershot State Grassland Conservationist USDA-Natural Resources Conservation Service.
DRAINMOD APPLICATION ABE 527 Computer Models in Environmental and Natural Resources.
Precision Ag and Conservation Precision Ag Technologies are most often developed to increase efficiency and decrease input cost However, they provide great.
© Irrigation Association Analyze the Resource Inventory.
Introduction to the TOPMODEL
Seasonal variation in surface- groundwater exchanges in an urban floodplain with active gravel-bar formation Dorothea Lundberg Karen Prestegaard University.
Water Management Richard L. Duble Texas A&M University.
Results Time Study Site Measured data Alfalfa Numerical Analysis of Water and Heat Transport in Vegetated Soils Using HYDRUS-1D Masaru Sakai 1), Jirka.
Kristina Schneider Kristi Shaw
Woody Woodruff Method University of Missouri –a chart !!! –a “checkbook” method –uses historic water use data –originally for corn on claypan soils took.
Physical and Chemical Properties of soils from Pecan Orchards Sheny Leon Mentor: Dr. Manoj Shukla Plant and Environmental Sciences, NMSU NEW MEXICO AMP.
Excess Rainfall and Direct Runoff
Reduced tillage and crop rotation systems with winter wheat, grain sorghum, corn and soybean. Mark M. Claassen and Kraig L. Roozeboom Kansas State University.
Irrigation Method Impacts on Peanut Pod Yield. S. Leininger 1, L. J
University, Nakhon Pathom, Thailand, 73140
Simulation of stream flow using WetSpa Model
Introduction to Expert Systems
Infiltration and unsaturated flow (Mays p )
The effect of dry period irrigation on yield of three cassava cultivar
Irrigation Scheduling Overview and Tools
Klamath ADR Hydrology Report
150 years of land cover and climate change impacts on streamflow in the Puget Sound Basin, Washington Dennis P. Lettenmaier Lan Cuo Nathalie Voisin University.
Using Soil Moisture and Matric Potential Observations to Identify Subsurface Convergent Flow Pathways Qing Zhu, Henry Lin, and Xiaobo Zhou Dept . Crop.
EC Workshop on European Water Scenarios Brussels 30 June 2003
Irrigation techniques
Break !!! Break Time Cornell Short Course 1/20/2009.
Nutrient Management Planning
Presentation transcript:

Evaluation of Potential Water Conservation Using Site-specific Irrigation Kenneth Stone and Phil Bauer USDA-ARS, Florence, SC

JanFebMarAprMayJunJulAugSepOctNovDec ET Total Rain Effective Rain Summer ET exceeds rain mm in Monthly Averages, Water fell behind 228 mm (9 in) from April to July DefIcItDefIcIt 50% Probability of a 20 day drought Why is Irrigation needed in the Southeastern US?

Site-Specific Irrigation Research Fine-scale (1:1200) soil survey in 1984 CP2 on quite variable soil: 12 soil map units CP1 on fairly uniform soil for ¾ of circle

Objective Evaluate the potential water savings using Site-Specific / Variable-Rate Irrigation (VRI) management compared to uniform irrigation management.

Approach Determine the water holding capacity of the 12 soil types. (top 300 mm, 12 in) Gather the weather parameters for calculating crop evapotranspiration (ET c ) Calculate a water balance for each soil type during a corn growing season.

Water Balance S i+1 = S i + Rain i – ET ci – Runoff i - Drainage i If S i > WHC excess is Drainage If S i > Saturation excess is Runoff Where: S = soil water storage ET c = calculated daily evapotranspiration

Treatments Corn –Planting date 3/31 (doy 90) –Ending date 8/6 (doy 218) Weather Data –Florence historical data –ET c calculated using ASCE method. Irrigation –If WHC < 50%, irrigation 12.5 mm Spatial Management Zones –Individual Soils (12 zones) –1 Zone (based on dominate soil type) –Soils grouped based on WHC 2 Zones 4 Zones

Soil Map Units SymbolSoil Classification BnABonneau loamy fine sand (lfs), 0% to 2% slopes CxCoxville loam DnDunbar lfs DoDunbar lfs, overwash ErAEmporia fine sandy loam (fsl), 1% to 2% slopes GoAGoldsboro lfs, 0% to 2% slopes NbANoboco lfs, moderately thick surface, 0% to 2% slopes NcANoboco lfs, thick surface, 0% to 2% slopes NfANoboco fsl, 1% to 2% slope NkANorfolk lfs, moderately thick surface, 0% to 2% slopes NoANorfolk lfs, thick surface, 0% to 2% slopes NrANorfolk fsl, 1% to 2% slopes

Soil Water Holding Capacity 65% difference in WHC between Bonneau to Goldsboro

12 Soil Map Units

Twelve Management Zones Based on Soil Map Unit

Four Management Zones Based on WHC

Two Management Zones Based on WHC

One Management Zone – Uniform Irrigation Based on dominate soil

Soil All Years and Weather Conditions Bonneau 271 A Coxville 240 B Dunbar 249 AB Emporia 249 AB Goldsboro 239 B NbA 252 AB NcA 271 A NfA 261 AB NkA 263 AB NnA 259 AB NoA 265 A NrA 271 A # of Zones 2 Max Diff. 32 Significant Management Zones

Soil Drought (% of ET ref ) All Conditions <50%50 to 60%60 to 75%> 75% Irrigation (mm) Bonneau 318 A290 A277 A213 A271 A Coxville 294 E258 F243 EF177 E240 B Dunbar 301 D268 E249 DE189 D249 AB Emporia 303 D268 E249 DE189 D249 AB Goldsboro 294 E258 F241 F177 E239 B NbA 303 D271 DE251 D196 C252 AB NcA 318 A290 A277 A213 A271 A NfA 313 BC279 BC260 BC205 B261 AB NkA 313 BC283 B260 BC207 AB263 AB NnA 311 C275 CD254 CD205 B259 AB NoA 316 AB283 B264 B208 AB265 A NrA 318 A290 A277 A213 A271 A # of Zones Max Diff Significant Management Zones

Irrigation depth per Management Zone All Years and Weather Conditions Zone # of Management Zones OneTwoFour Irrigation (mm) Difference2636

Irrigation depth per Management Zone Under Drought Conditions Mgt. Zone Drought (% of ET ref ) <50%50 to 60% 60 to 75%>75% # of Mgt. Zones On e Two Four OneTwo Four OneTwo Four OneTwo Four Irrigation (mm) Difference

Conclusions The 20-year overall analysis indicated that only 2 spatial management zones were needed. However, when divided into Drought and non-Drought years, 5 to 6 spatial management zones were identified. Irrigation by spatial management appears to save water, especially in fields with highly variable soils.

Future Evaluation Additional research is needed. Add additional field sites to the analysis Use Crop Simulation Models to evaluate both Yield and Water

Thank You