Using GIS to Evaluate Water-Level Changes in Gillespie, Co. Texas: - PowerPoint PPT Presentation

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Using GIS to Evaluate Water-Level Changes in Gillespie, Co. Texas:

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Aquifer Coverages. Groundwater Database (dBase format) Well locations. Depth to water ... (LSE), date of water level measurement, aquifer code and state well number. ... – PowerPoint PPT presentation

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Title: Using GIS to Evaluate Water-Level Changes in Gillespie, Co. Texas:


1
Using GIS to Evaluate Water-Level Changes in
Gillespie, Co. Texas A comparison of two
interpolation methods
Adrien Lindley GIS in Water Resources Fall, 2004
2
Outline
  • Introduction
  • Base map Construction
  • Interpolating Piezometric Surfaces
  • Raster Calculations
  • Results and Conclusions

3
Introduction
  • Goals
  • Create a base map with water level elevations for
    the Hensel sands in Gillespie county.
  • Create grids depicting the water level elevation
    for 3 consecutive years using Inverse Distance
    Weighting (IDW) and Spline.
  • Calculate the change in water table elevations
    from year to year.
  • Evaluate the results.

4
Introduction
  • Where is Gillespie County?

5
Gillespie county, a closer view
6
Base Map Construction
  • Data Sources
  • TWDB
  • HUWCD
  • TNRIS
  • Data Type
  • Aquifer Coverages
  • Groundwater Database (dBase format)
  • Well locations
  • Depth to water
  • DEMs and Digital Orthophoto Quarter Quads
  • TxDOT Gillespie county road coverage

7
Database Management
  • Well databases included well location, depth of
    water from land surface elevation, land surface
    elevation (LSE), date of water level measurement,
    aquifer code and state well number.
  • Sorted well data by date of water level measure
    in Excel.
  • Selected out all the July water level
    measurements for each year.
  • Resorted each database table for the Hensel
    aquifer. Using the aquifer codes.
  • Created new database tables for for the years
    2001, 2002 and 2003.

8
Initial base map with all wells
9
Base map with sorted wells
10
Interpolating Water Level Data
  • Spatial analyst
  • Set extent of analysis to be the same as the data
    extent
  • Interpolate to raster water level elevations
    using IDW and Spline for the 3 years of data
  • Make permanent the resulting grids

11
Spatial extent for analysis
12
Water level elevations for July, 2001 using IDW
  • Elevation in feet

13
Water level elevations for July, 2002 using IDW
  • Elevation in feet

14
Water level elevations for July, 2003 using IDW
  • Elevation in feet

15
Water level elevations for July, 2001 using
Spline
  • Elevation in feet

16
Water level elevations for July, 2002 using
Spline
  • Elevation in feet

17
Water level elevations for July, 2003 using
Spline
  • Elevation in feet

18
Using Raster Calculator
  • Water level elevation grids are subtracted to
    yield yearly water level change

-

19
ResultsCalculations for Yearly Difference
20
Water level change from 2001 to 2002 from IDW
grids
  • Brown indicates an area where the water table has
    lowered

Elevations in feet
Mean water level change - 1.07 feet
21
Water level change from 2002 to 2003 from IDW
grids
  • Brown indicates an area where the water table has
    lowered

Elevations in feet
Mean water level change 3.19 feet
22
Water level change from 2001 to 2003 from IDW
grids
  • Brown indicates an area where the water table has
    lowered

Elevations in feet
Mean water level change 2.12 feet
23
Water level change from 2001 to 2002 from Spline
grids
  • Brown indicates an area where the water table has
    lowered

Elevations in feet
Mean water level change - 2.01 feet
24
Water level change from 2002 to 2003 from Spline
grids
  • Brown indicates an area where the water table has
    lowered

Elevations in feet
Mean water level change - 4.09 feet
25
Water level change from 2001 to 2003 from Spline
grids
  • Brown indicates an area where the water table has
    lowered

Elevations in feet
Mean water level change - 6.10 feet
26
Comparison of raster calculation results
  • Similar values for 2001 to 2002
  • Difference in water table elevations of 7.28 feet
    for 2002 2003.
  • Which method is more accurate?

27
IDW or Spline?
  • IDW
  • Chunky display, obviously not representative of
    natural conditions
  • Spline
  • Smoother display, probably more representative of
    natural conditions

28
Conclusions
  • Limited well control across the area for a
    specific time and aquifer yields questionable
    results

29
Acknowledgments
  • Special thanks to Paul Tybor and Margaret Ratliff
    of the Hill Country Underground Water
    Conservation District

30
Thanks
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