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Building a Water Well Database for GIS Analysis

Building a Water Well Database for GIS Analysis. By A. Wayne Jones, Kelly A. Barrett Ohio Department of Natural Resources Division of Water. Objectives. Transfer of well log data from paper to database Edit well log database Convert flatline files to GIS dataset TIN Modeling

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Building a Water Well Database for GIS Analysis

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  1. Building a Water Well Database for GIS Analysis By A. Wayne Jones, Kelly A. Barrett Ohio Department of Natural Resources Division of Water

  2. Objectives • Transfer of well log data from paper to database • Edit well log database • Convert flatline files to GIS dataset • TIN Modeling • Create and support Division of Water products

  3. Software Used • Microsoft Access and Excel (2002) • Oracle 10G Release 1 • Flotiva from Workiviti (8-1-6) • Arc Map, Arc Catalog, Arc Toolbox (9.1) (Spatial Analyst, 3-D Analyst) • Arc Workstation (9.1)

  4. Building a Water Well Database for GIS Analysis • Well log locations from field locating • Over 800,000 well log records • Less than 200,000 have coordinates • Geocoded 3 counties with excellent results

  5. Building a Water Well Database for GIS Analysis • Digitized point files on CD for each county • Verify with well log database • location map year • township code • location number • location area

  6. Building a Water Well Database for GIS Analysis • Microsoft Access 2000 is the front end to Oracle database

  7. Digital Line Graphs USGS Digital Line Graph • Downloaded from Ohio Center for Mapping • 1:24,000 scale • Hypsography layer • During AML dlg file recodes major and minor codes (Elevation items are defined)

  8. Building a Water Well Database for GIS Analysis AML Menu for Recoding DLG items

  9. Building a Water Well Database for GIS Analysis

  10. Converting DLG to TIN

  11. Building a Water Well Database for GIS Analysis • TINSPOT defines surface elevation at each well location • Arc TINSPOT Command in Arc Workstation • TINSPOT uses the interpolated elevation from the TIN model to define the elevation at the location of the point coverage • Water table elevation is calculated by subtracting static water level from surface elevation

  12. Applications for Digital Data • Potentiometric surface mapping • Shapefiles of XY well log data with query capacity • Grid modelling

  13. Building a Water Well Database for GIS Analysis

  14. Building a Water Well Database for GIS Analysis • Microsoft Access table as a .DBF4 export to create shapefile • Multiple Query Options on shapefile • All sand and gravel wells (left) • All bedrock wells • All wells in particular quadrangle Franklin County

  15. Building a Water Well Database for GIS Analysis • Create a spatial query around a feature • Select by attribute or select by location • All the sand and gravel wells within 1 mile of the Darby Creek (left) • All bedrock wells within 10 miles of US 71

  16. Building a Water Well Database for GIS Analysis Create a buffer “1 mile radius” from the intersections of 2 streets or any point location (right) Popular query from environmental consulting firms

  17. Building a Water Well Database for GIS Analysis • Potentiometric Surface contours • Converted to a TIN Model • TIN converted to raster • Raster calculator to subtract grids • Darby Creek watershed poster

  18. Thanks!! • Ken Pendley, Rick Archer, Jim Raab, Mike Angle, ODNR, Division of Water • Shashi Srivastava, Oracle Database Administrator, ODNR, Office of Information Technology • Mark Anstaett, GIMS programmer, Office of Information Technology • Financial Support provided by the Ohio Department of Transportation

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