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Muskegon Watershed Research Partnership

http://www.mwrp.net. Muskegon Watershed Research Partnership. The vision: Collaborative, Integrated, Relevant Science for a better future. Modeling Flow-dependent Habitat in the Lower Muskegon River: A Progress Report. M.J. Wiley, C.M. Riseng, E.S. Rutherford, and J.A. Tyler.

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Muskegon Watershed Research Partnership

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  1. http://www.mwrp.net Muskegon Watershed ResearchPartnership The vision: Collaborative, Integrated, Relevant Science for a better future

  2. Modeling Flow-dependent Habitat in the Lower Muskegon River: A Progress Report M.J. Wiley, C.M. Riseng, E.S. Rutherford, and J.A. Tyler With special thanks to Matt Ladewig, Solomon David, and Lori Ivan

  3. How do natural and other variations in hydrology affect habitat and fish recruitment in the Lower River?

  4. Muskegon River Ecological Modeling System (MREMS) River/Watershed Physical River Biology Land use/cover Environment Biological Models Land Transformation Hydrogeol & Chem (Table 2 and affiliated MRP Proposal) Model Models (Table 1) Social Drivers Ecological Services Cultural Models Economic Valuation & Data Models (Sustainable Systems) (Economic Model)

  5. Climate Landscape Reach Hydrology Reach Hydraulics Local hydraulics and substratum Historical Flows hours ~x00 km2 decades ~ x00 km2 weeks ~x000 km2 days ~x km2 days ~x m2 days x cm2 Empirical LTM2 Model Empirical or Hec_HMS via DSS record Hec_RAS Steelhead IBM Fish growth & mortality

  6. Linking the Models USACE Hydrologic Eng. Center’s River Analysis System (RAS) [nexGen version of HEC-2] With extensive utilization of HEC GeoRAS extensions in ArcView 3.1 environment Tyler and Rutherford 2002 An Individual-based Bioenergetics Model (IBM) developed initially for Manistee River Steelhead.

  7. Habitat Modeling Objectives • Provide linkage between MREMS hydrologic modeling and habitat sensitive IBM Bioenergetic fisheries models • Simulate affects of daily hydrologic change on local velocity, depth, substrate, and food availability

  8. Key Modeling Issues • Large scale X IBM approach = excessive computation! • Large study extent precludes ground surveys for topographic data • DEM errors and resolution • Limited biological surveys (modeling everywhere; sampling not!)

  9. Key Modeling Solutions • Model by ecologically homogeneous Valley Segment {VSEC} • Build a GIS model of reach channel habitat integrating data air photo, ADP profiling, and field reconnascence • Use the GIS Channel Model and preliminary hydraulic modeling to adjust DEM x,y,z • Link stratified biological (prey) sampling to GIS Channel Model and summarize by substrate class

  10. Thirteen study reaches on the Lower Muskegon 18.2 17.2 30 km Vsec subunit “boxes” defining RAS reach modeling extents

  11. Building the GIS Channel Model Air Photos (1998) Field reconnaissance Acoustic Doppler profiling

  12. Building the Topographic Model HEC-RAS V.I ArcViewGIS Channel Model high Res DEM GeoRAS Export estimated WS HEC-RAS V.II ArcViewGIS “hydraulically Corrected” Topographic Model GeoRAS

  13. TIN (Triangular Irregular Network)

  14. Channel Model and adjusted DEM are well matched

  15. Cross-section profiles are then extracted (using GeoRAS) for HEC_RAS

  16. 167 transects 20-50 cells per transect (Q dependent) Typically ~4000-5000 cells Depth, Velocity, Substrate HEC_RAS Simulations run for 1 year

  17. musk_18_2 Plan: Plan 02 2/10/2005 Legend WS PF 1 Ground Bank Sta Levee Ground 10.24 10.39* 9.59* 10.54 8.94 10.75 9.47 9.20 8.83* 10.98 8.36 8.72 11.18 8.53 7.78 7.4* 11.32 7.135* 11.49 11.64 7.02 11.88 12.75 12.00 6.84 12.13 12.49 6.345* 6.23 1.75 5.93 2.57 1.31 5.73 2.72 1.09 5.595* 2.86* 0.36 .99* 5.46 3.00 .485* 0.89 5.25 3.32 0.61 5.12* 4.99 3.905* 4.27 3.65* 4.75 3.52 4.54

  18. Example cross-section unsteady (continuous) run for: VSEC unit 18.2: yr=2001 Cross section ID= 6742.67 (meters up from downstrean end of 18.2) Flows can be driven by hydrographs from gage records or MREMS hydrologic models

  19. Channel Unit 18.2 HEC_RAS hydraulic simulation at 20 cms Cross-section scale data output for steelhead IBM RAS interpolated cross-sections

  20. Results for 2001-2002 Steelhead IBM operating in Muskegon River VSEC 18.2

  21. NextSteps • IBM coding needs more adjustment to take full advantage of the spatial and temporal resolution of the RAS modeling • Complete the other VSEC boxes and their respective RAS Steelhead models • Begin exploring alternate hydrologic scenarios

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