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Moving the NAWQA habitat data through time

Moving the NAWQA habitat data through time. Jeffrey Steuer Hydrologist - USGS Middleton, WI. Overview – work in progress. Methods development presentation: Will combine the NAWQA habitat data with flow record to assess habitat data over time

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Moving the NAWQA habitat data through time

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  1. Moving the NAWQA habitat data through time Jeffrey Steuer Hydrologist - USGS Middleton, WI

  2. Overview – work in progress • Methods development presentation: • Will combine the NAWQA habitat data with flow record to assess habitat data over time • Example applications with biological metrics • Examine how it fits into the bigger picture

  3. Explanaton WMIC EUSE Study Area WMIC Study Unit Water Streams Final watersheds Urban Index I 80-100 60-80 40-60 20-40 0-20 National Water-Quality Assessment (NAWQA) ProgramEffects of urbanization on stream ecology Milwaukee-Green Bay 30 Watersheds

  4. Milwaukee-Green Bay – range of urbanization 30 Watersheds Watershed Size Range = 5 – 39 mi2 Urban land cover Range = 3- 99 percent Proportion population change 1990 – 2000 Range = -0.16 – 1.38

  5. 15m Eleven transects per ~150 m reach….. Jambo (UII = 0) Fox (UII=40) Rio (UII=10) Garners (UII=60) Hoods (UII=31) Lincoln (UII=100)

  6. Transect measurements of instream and channel conditions…… 1.Bankfull width 2.Wetted channel width 3.Depth & velocity 1 2 3 Thalweg Fitzpatrick; modified

  7. 4 5 Transect measurements of streambank characteristics….. 4.Bank angle 5.Bank height (bankfull depth)

  8. Selected “Habitat Variables for Urban Studies” (one point in time- Aug 25, 2004) Oct 1, 2003 to Sept 30, 2004 • WIDTH-TO-DEPTH RATIO (BANKFULL DISCHARGE) • WIDTH-TO-DEPTH RATIO (WETTED CHANNEL) • COEFFICIENT OF VARIATION OF W:D (WETTED CHANNEL) • SHAPE INDEX • CROSS-SECTIONAL AREA • COEFFICIENT OF VARIATION OF SHAPE INDEX • DEPTH • COEFFICIENT OF VARIATION OF DEPTH • VELOCITY • SHEAR STRESS • FROUDE NUMBER • STREAM POWER • FLOW STABILITY INDEX Faith Fitzpatrick - modified

  9. Energy balance – transect to transect Unsteady –storage, mass balance

  10. Hydraulic model (Hec-Ras) • Used to compute depth, velocity, shear stress, stream power, etc – at each transect. • Limitations/assumptions: • Crude cross section data, estimated overbank slope • Rough elevation data • One dimensional (no lateral velocity gradient) Are the models good enough to contribute to our understanding of the biology – when combined with continuous discharge??

  11. Transducer data resulted in a discharge record at each site Don’t under estimate the required effort……

  12. Habitat collection

  13. “Mobility of stream invertebrates in relation to disturbance and refugia: test of habitat templet theory”; Gjerlov and others, JNABS (2003) • Assessed 7 streams • Place hemispheres of variable density in reaches to determine low shear stress areas (refugium) • “refugium availability - fraction of the streambed that retained a shear stress <0.945 dyn/cm2 at high flow…..” • “An unexpected result… recolonization rate.. higher in high-refugium (low shear stress -jjs) sites..” Utilize this shear stress threshold in our analysis….. Shear stress = f(velocity, depth, bottom roughness)

  14. Using the time series foundation …three example applications…..

  15. Hydraulic and habitat variables clearly change during the year – examine transects with this in mind…..

  16. Rio Creek – shear stress vs time

  17. “Duration above threshold” example Algae versus shear stress – 6 streams Jambo Rio Hoods Garners Fox Lincoln Days above shear stress threshold (1 dyne/cm^2) all transects combined

  18. “Refuge” (4 adjacent transects) example Invertebrate and algae vs shear stress -6 streams Jambo Jambo Number of Mayfly Taxa % Abundance of “fairly high” DO Algal Taxa Hoods

  19. Time window example(3 months prior to fish survey) Fish IBI versus minimum depth – 6 streams Where will the remaining 24 points (streams) fall? Habitat collection date Jambo What will Texas relations look like? Lincoln Froude #, Shear Stress, Reynolds #, Velocity, Depth, Wetted Perimeter, ???.

  20. So where are we headed with this effort ? • Contribute to the knowledge base from which managers, planners, city engineers can make quantitative decisions.

  21. Pathway (proximity) of understanding for biological relations Close proximity to biology Examples of Actions Parking Lot treatment chambers, Roof Top catchments Chemistry Low Flow time windows Rain garden design, GW pump optimization Urban Index % Imperviousness Examples of UI components: - Housing density - Population density - Basin imperviousness High Flow, Shear Stress (refuge) Detention Ponds, Stream Structures Biological response Urban index Aqua.wisc.edu/publications/default.aspx

  22. Conclusions – work in progress • A 1- dimensional hydraulic model, based on the NAWQA habitat data and daily flow record, allowed us to examine hydraulic and habitat conditions throughout the water year. • Initial hydraulic model results, when examined over a variety of time windows, thresholds, and durations show promise in helping understand the algal, invertebrate, and fish assemblages. Correlations (r2) ranged from .68 - .83 • Results address causal mechanisms and are amenable to management actions

  23. Acknowledgements…..many, many people Many skill sets/backgrounds required….. USGS/NAWQA able to provide framework • Study design and management • Site installations and hydrology data collectors • Habitat and biology data collectors • Data processing – biology, hydrology, habitat • Hec-Ras model (60) construction and output processing

  24. End…. Point of contact: jjsteuer@usgs.gov

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