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Objectives PowerPoint Presentation

Objectives

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Objectives

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  1. Corn Yield Comparison BetweenEPIC-View Simulated Yield AndObserved Yield Monitor DatabyChad M. BoshartOklahoma State University

  2. Objectives • Compile data to be used in model runs. • Calibrate EPIC-View simulated yield with observed yield results from 2000. • Validate EPIC-View by using the 2001 observed yield results.

  3. EPIC-View Graphical User Interface EPIC (Environmental Policy Integrated Climate) ArcView GIS

  4. EPICformerly Erosion Productivity Impact Calculator • Created in the early 1980’s by scientists at The Texas Agricultural Experiment Station Blackland Research Center in Temple, Texas. • EPIC is a DOS based program designed to: • Simulate biophysical processes simultaneously • Simulate cropping systems for hundreds of years • Applicable to a wide range of soils, climates and crops • Efficient, convenient to use and capable of simulating management effects on soil erosion and productivity.

  5. EPIC Components: Weather Hydrology Erosion Nutrient Cycling Pesticide Rate Soil Temperature Tillage Crop Growth Crop and Soil Management Economics

  6. Applications • Crop Productivity • Soil Degradation • Input Levels and Management Practices • Response to Climates and Soils • Climate Change • (Williams, 1989)

  7. UTIL screen with EPIC data

  8. UTIL Universal Text Integration Language Data file editor that was developed to help users build datasets for large computer models and other data intensive programs. - Dumesnil 1993

  9. Data Files (or dat) Data supplied by the user Crop Graphics Tillage Multi-Run Pesticide EPIC Output Herbicide Daily Weather Misc.

  10. UTIL and Dat Data files have a specific format with a set range. The UTIL file organizes the user specified information from the Data files into one file to be used by EPIC-View.

  11. ArcView • Created by ESRI (Environmental Systems Research Institute) in 1992. • Founded and owned by Jack and Laura Dangermond. • Based out of Redlands, California. • Gives ability to work with data geographically. • Display maps from tables. • Identify trends in the data. • Easy to integrate data.

  12. Study Area: Garfield County, OK

  13. List of Attributes in Megasurface Table

  14. Where the data came from?

  15. Management Data • Seed Rate Populations • Tillage Operations • Fertilizer Applications • Pesticide Applications • Irrigation • Pest Management • Yield / Harvest

  16. Resource Data • Hydrology • Soils Classification • Soil-Specific Parameters • Slope and Aspect • Fertility (Variability) • Etc...

  17. Meteorological Data • Precipitation • Soil Temperature • Air Temperature (min & max) • Humidity • Wind Speed and Direction

  18. Regional Data • County and City Boundaries • Public Land Survey • Digital Elevation Model • Generalized Soils

  19. Yield Points

  20. Yield Surface

  21. Starting Up

  22. Preferences and Attributes

  23. Environmental Data

  24. Parameters

  25. More Preferences

  26. Field Operations

  27. Output

  28. Estimated Yield Result

  29. 2000 and 2001 Yield Points

  30. Estimated vs. 2000 Yield

  31. Estimated vs. 2001 Yield

  32. Slope

  33. Soil Types

  34. Soil type vs. Yield

  35. Slope vs. Estimated Yield

  36. Conclusions Very little variability in the estimated yield. The results show that the estimated yield appears to be similar to slope and soil type. Could be improved upon by adding the soil nutrient levels.

  37. Questions???