Hydrology of Small Streams, Data Availability Jon Hortness Hydraulic Engineer USGS, Boise - PowerPoint PPT Presentation

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Hydrology of Small Streams, Data Availability Jon Hortness Hydraulic Engineer USGS, Boise

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Hydrology of Small Streams, Data Availability. Jon Hortness. Hydraulic Engineer. USGS, Boise. Instream Flow Studies: Where does hydrology fit in? Biology Students: WUA ... – PowerPoint PPT presentation

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Title: Hydrology of Small Streams, Data Availability Jon Hortness Hydraulic Engineer USGS, Boise


1
Hydrology of Small Streams,Data
AvailabilityJon HortnessHydraulic
EngineerUSGS, Boise
2
Instream Flow Studies Where does hydrology fit
in?
  • Biology Students
  • WUA
  • Substrate
  • Cover
  • HSC

Whos driving the bus???
Mr. Hydrology
3
Hydrology is the DRIVER!!!
  • You can have all this wonderful habitat, but if
    the fish cant get there to use it or cant use
    it at the right times, its not very useful
  • You must understand the hydrology to make good
    decisions

4
Discussion Points
  • Data needs for making good decisions
  • Available data/estimation methods
  • Additional data collection

5
Data Needs
  • Perfect world (if we could have it all!!!)
  • 10 years of continuous data above diversions
  • Data for tributaries and diversions
  • Seepage studies to determine gaining/losing
    reaches
  • What we can live with?
  • Estimates of streamflow statistics upstream from
    diversions
  • Estimates of tributary inflows and diversion
    withdrawals

6
Data Needs cont.
  • What do we actually have?
  • Typically, not much
  • A few instantaneous measurements
  • Maybe some historic continuous data
  • Little, if any, info on gains and losses
  • Little, if any, info on diversions

7
Available Data
  • Continuous-record streamflow data
  • Ideally, above diversions (natural flow
    conditions)
  • 10 years of data or more for statistical purposes
  • Miscellaneous streamflow measurement data
  • Instantaneous measurements in the stream
  • Instantaneous measurements of diversions
  • Varies greatly by location
  • Dependent upon previous work

8
Available Data cont.
  • Upper Salmon River Basin project
  • 16 study sites on 10 different streams
  • 4 total gages within the area
  • 2 that could be used directly
  • 1 used as an index station

9
Estimation Methods
  • Index stations
  • Relate instantaneous measurement data to a nearby
    index gaging station to estimate long-term
    streamflow statistics
  • Regional regression equations
  • Peak-flow equations are fairly common
  • Not too helpful for IFIM studies
  • Monthly equations (means, exceedances, etc.) are
    not very common
  • Exceedances are typically needed for IFIM studies

10
Estimation Methods cont.
  • Upper Salmon River Basin project
  • Some historic instantaneous measurement data
  • Not on the right streams or not at the right
    times to make estimates based on index gages
  • Monthly exceedance regression equations
    (80-, 50-, and 20-percent) are available
  • Developed for USFS in 2001
  • Fairly large estimation errors
  • Tend to overestimate streamflow statistics

11
Estimation Methods cont.

12
Estimation Methods cont.

13
Additional Data Collection
  • Short-term gaging stations
  • Get 1 to 3 years of continuous data to compare
    with nearby index gaging station
  • Instantaneous measurements
  • (tributaries, diversions, etc.)
  • Seepage studies, if necessary

14
Additional Data Collection Cont.
  • Long-term gages
  • We are continuing to operate 2 short-term
    gages (upper Valley Creek and upper Salmon River)
  • Equation development
  • Intense project in a specific area
  • Need a good, fairly large, network of streamgages
  • Several years of data collection is necessary

15
QUESTIONS?
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