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Mattole Basin Sediment Modeling Project Development. By Joel Monschke Good Roads Clear Creeks Program Director. Rapid Evaluation of Sediment Budgets (Reid and Dunne 1996) Defines a Seven Step Process for Sediment Budget Construction:. Define the problem Acquire background information

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Mattole basin sediment modeling project development

Mattole Basin Sediment Modeling Project Development

By Joel Monschke

Good Roads Clear Creeks Program Director

Mattole basin sediment modeling project development
Rapid Evaluation of Sediment Budgets (Reid and Dunne 1996) Defines a Seven Step Process for Sediment Budget Construction:

  • Define the problem

  • Acquire background information

  • Subdivide the area

  • Interpret aerial photography

  • Conduct fieldwork

  • Analyze data

  • Check results

Step 1 define the problem
Step 1: Define the Problem

  • Excessive sedimentation in the Mattole River and tributaries is impairing salmonid populations

    • Development of a prioritization system to guide future sediment reduction projects

    • Monitor/model the longterm benefits of restoration work

    • Further understanding the hydrologic and geomorphologic processes

Step 2 acquire background data
Step 2: Acquire Background Data

  • Significant field data has been collected

    • GRCC sub-shed sediment assessments identifies potential sediment delivery from point sources with STAR Worksheet Methodology

      • Volume of site (Length*Width*Depth)/(DFactor)

        • DFactor ranges from (3 to 6)

        • DFactor = 3 (slab type debris slide)

        • DFactor = 6 (typical fill crossing)

      • Erosion Potential

        • Sediment delivery increases exponentially with rainfall

      • Erosion Rate

        • Sediment delivery increases linearly with rainfall

  • The exact application of this data is yet to be determined for this modeling project

  • Additional background data


    Very useful data sets basin-wide benchmarks

    After completing work in the southern sub-basin, this data is too general to use for specific sub-shed or site specific prioritization

    Additional Background Data

    Other sources of data
    Other Sources of Data

    • Humboldt Redwood Company data (pending availability)

      • Watershed analysis

      • Sedimentation from roads

      • Slope stability analysis

      • Lidar

    • Some modeling data

    Step 3 subdivide the area
    Step 3: Subdivide the Area

    • Choosing modeling software will be critical in this determination

      • Target will be subdivisions as small as possible to improve accuracy and usefulness the model

      • In the beginning subdivisions may be larger with more refinement as the project progresses

    • Some modeling software options:

      • BASINS (EPA hydrologic modeling software)

        • Very broad model

      • Netmap (GIS based channel network model)

        • Lee Benda and Dan Miller

    Step 4 interpret arial photography
    Step 4: Interpret Arial Photography

    • Extensive air photo analysis was already done for the Mattole Watershed TMDL

    • Further work should be done updating the analysis with the most recent data

    • Arial photo analysis must be combined with field data to insure consistency and accuracy for sediment delivery rates

    Step 5 conduct field work
    Step 5: Conduct Field Work

    • Significant field work has been done during sediment inventories

    • Further work needs to be done in two main areas:

      • Surveys of erosion rates in areas where minimal data is available

      • Channel surveys/monitoring to determine channel conditions including sediment storage, grain size, slope, width, etc. and yearly fluxes

    Step 6 analyze data
    Step 6: Analyze Data

    • Again, choosing a modeling software will be critical in this determination

      • Sediment Inputs

        • Input from previous stream segment

        • Input from tributaries

        • Input from streambank/hillslope

        • Input from channel storage

      • Sediment Transport Equation will be a function of:

        • Rainfall, stream slope, width, grain size

    Step 7 check results
    Step 7: Check results

    • This will be an iterative process where the model is calibrated to match on-the-ground conditions

    First step for mattole watershed sediment modeling project
    First Step for Mattole Watershed Sediment Modeling Project

    • Finding a model that has flexibility and necessary output functions

      • Integrated with hydrologic model

        • Can the model run at a storm by storm scale rather than an average winter?

      • Integrated with GIS

      • Easy and flexible data entry for continued calibration

      • Ability to input point sources while also using GIS generated slope stability analysis

      • Ability to vary input data by area

        • More detail for some sub-sheds than others yet the model still functions at a watershed wide scale

    Where do we go from here
    Where do we go from here?

    • Contact ESI regarding Netmap program

      • It appears that they have already done significant work in the Mattole through PALCO

      • Discuss potential relationship with MRC

        • Cost, availability, data sharing, training

      • Discuss model input and output capabilities

      • If everything looks good, begin fundraising.....

      • If not, look for another model

    Further questions
    Further Questions….

    • Is there a way for this project to incorporate a hydrologic modeling and help predict summer low flows and possible solutions?

      • Low flows are often a partial function of excessive sedimentation in channels

      • Property ownership by sub-basin is easy to track in GIS and could be modeled

    Specific outcomes
    Specific Outcomes

    • Further define TMDL volumes and future management goals at a sub-shed scale

    • Specifically prioritizes locations for future sediment reduction projects and other restoration efforts

    • Give a long term vision of sedimentation and erosion through the entire watershed

    • Build on the MRC’s GIS/database with modeling data from the past and future with results displayed in a visually pleasing fashion

    Final thoughts
    Final Thoughts…

    • Independent of the outcome, the process of developing a sediment model will greatly improve our understanding of the geomorphologic process.

    • Questions and Comments from the TAC