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The ATLSS High Resolution Topography/Hydrology Model

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The ATLSS High Resolution Topography/Hydrology Model. Scott M. Duke-Sylvester ... High Resolution Hydrology. Created as part of the ATLSS SESI package. Sun ... – PowerPoint PPT presentation

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Title: The ATLSS High Resolution Topography/Hydrology Model


1
The ATLSS High Resolution Topography/Hydrology
Model
  • Scott M. Duke-Sylvester
  • ATLSS Project University of Tennessee

Project web-site www.atlss.org E-mail
sylv_at_tiem.utk.edu
2
Overview of Presentation
  • Purpose of the High Resolution Topography
    (HRT)/High Resolution Hydrology (HRH) models
  • HRT/HRH creation
  • Verification, calibration and validation
  • Versions and availability

3
Purpose of the HRT/HRH
  • To provide an estimate of finer scale spatial
    variation in hydrology for the ATLSS models
  • Resolution 500x500 meters
  • Used by all ATLSS models including
  • SESI models
  • Fish model (ALFISH)
  • Deer/panther model

4
Why 500x500 meters?
  • Plants and animals respond to local variations in
    hydrology at a spatial resolution finer than the
    2x2 mile SFWMM blocks
  • Tree islands
  • Transition from slough to prairie
  • Permanent ponds vs. marsh with transient water
    depths

5
Tree Island Skinners Camp
4 miles
HRT
SFWMM
4 miles
6
Slough to prairie transitionVariation in water
depths
SFWMM
HRH
Wet
0
Dry
7
HRT Features
  • Common resolution 500x500 meters
  • Available 30x30 meters
  • Coverage Most of the natural areas of SF

8
HRH features
  • Common resolution 500x500 meters
  • Common time step 5 days
  • Time span Jan 1 1965 - Dec 31 1995
  • Adaptable to longer SFWMM runs
  • Spatial coverage SFWMM region
  • Adaptable to use with other data sets

9
HRT Creation
  • Basic premise Plants are present in locations
    where local topography and hydrology combine to
    create favorable hydroperiods
  • Topography Hydrology gt Vegetation
  • Vegetation Hydrology gt Topography

10
Inputs
  • Hydrology SFWMM Calibration/verification run
  • Vegetation FGAP
  • Hydroperiod ranges Literature, expert opinion
  • Adaptable to other data sets

11
Hydrology Data
  • Transform the Stage Height data into hydroperiod
    histograms.
  • Describes the number of days at or above each
    elevation.
  • We use an average of values from 1986 to 1995.
  • Currently based on the Calibration/Validation
    (Cal/Val) run of the SFWMM.

12
Hydroperiod values for vegetation types.
  • For each vegetation type in the FGAP map we
    estimate a range of hydroperiods.
  • The hydroperiod used for any particular cell in
    the FGAP map is interpolated as follows
  • Hydroperiod values are drawn from the literature.

13
Vegetation Map
  • Raster Map
  • high spatial resolution
  • high spatial heterogeneity
  • Each cell contains an index value which
    represents one vegetation type.
  • Currently based on the Florida GAP Map.

14
Processes
Ep
15
(No Transcript)
16
HRH Creation
  • 2x2 mile SFWMM hydrology data is distributed over
    a 500x500 meter HRT
  • Redistribution takes place on a 2x2 mile cell
    basis
  • Total daily water volume is preserved in each
    cell
  • Resulting hydrology has a 500x500 meter resolution

17
Verification
  • Simple visual inspection
  • e.g. tree islands are higher than surrounding
    slough
  • Comparison to independently computed values
  • Function testing

18
Calibration
  • The main features of the HRT that can be
    calibrated are the hydroperiod ranges for each
    vegetation type.
  • Hydroperiod ranges estimated from published
    literature
  • Expert opinion

19
HRH Validation
  • Comparison of HRH water depths to measured water
    depths
  • Time series Feb, Apr, Jul, Oct, Dec 1995
  • Region WCA-3 and Shark River Slough
  • 16 sites, 3 plots at each site
  • r2 for HRH to field data 0.289
  • r2 for SFWMM to field data 0.236
  • Gaff, H. 1999. Spatial heterogeneity in
    ecological models two case studies. PhD.
    Dissertation, University of Tennessee.

20
HRT Validation
  • Comparison to USGS HAED
  • Compared the mean elevation and variance between
    the HRT, USGS High Accuracy Elevation Data (HAED)
    and SFWMM data.
  • HRT variance is more similar to HAED variance
  • HRT mean is lower than either SFWMM or HAED mean

21
Conclusion
  • HRT is not an exact fit to measured elevations.
  • HRT is generating a level of topographic
    variation consistent with the HAED data in many
    instances.
  • Further calibration of model will improve the fit
    between the HRT output and HAED.

22
Application to Restoration Planning
  • Provides an estimate of topography and hydrology
    to other models at a spatial resolution relevant
    to ecological modeling

23
Versions
  • Version 1.0
  • Available for use today
  • Has been used in the past
  • 1997-1998 hydrology scenario evaluation
  • Based on
  • FGAP 2.1
  • Hydroperiod values from Michael Huston
  • SFWMM 3.4, Calibration/verification run
  • Version 2.0
  • Available by June 30 2002
  • Based on
  • FGAP 6.6
  • Hydroperiod values from Paul Wetzel
  • SFWMM 3.5, Calibration/verification run
  • Calibrated with latest USGS HAED

24
Availability
  • HRT maps
  • Created at UT
  • Maps are available to collaborating agencies
  • ENP, SFWMD
  • High Resolution Hydrology
  • Created as part of the ATLSS SESI package
  • Sun/Solaris Workstations
  • ENP

25
Collaborators/Contributors
  • FGAP Leonard Pearlstine
  • SFWMM Ken C. Tarboton, SFWMD
  • ATLSS
  • Paul Wetzel, ATLSS
  • Charley Comiskey, ATLSS
  • Michael Huston, ORNL

26
  • E-mail sylv_at_tiem.utk.edu
  • Web site www.atlss.org/sylv
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