Should Fish Passage through Culverts be a
Concern for Midwest Engineers and
Planners: Determining the Percentage of
Culver...
Goals of the Project
• Evaluate fish migration barrier culverts in NE
Ohio.
• Reasons for the culverts to act as barriers....
Resources Used
•
•
•
•
•

Culvert specification data from ODOT;
Discharge predictions from USGS Streamstats;
USGS seamless...
FishXing
• A computer model developed by the US
Forest Service,
• Compares the fish performance with the
culvert hydraulic...
HEC-RAS
• One-dimensional flow simulation software
developed by USACE.
• An additional code developed by Vasconcelos
JG. w...
Culvert Data
• From 5,837 culverts in ODOT database 169
culverts having sufficient information of
material, slope, diamete...
USGS Flow Predictions
• PK2 – Peak two year flood;
• FPS 25 – 25th percentile flow;
• Maximum and minimum average monthly
...
USGS Seamless Data Warehouse
• Digital Elevation Model (DEM)
• 1/9 arc sec (3 meter) resolution
Fish Data
• From Ohio Gap Analysis, only the fish with
known swimming speed were taken.
• FishXing fish data was used for ...
Fish Used
Fish Name

Fish
Fish Height Fish Velocity
Length (ft)
(ft)
(ft/s)

Central
stoneroller

0.2

0.05

1.31

White s...
FishXing Results

33%
Partial Passage
Total Barrier

67%
FishXing Results
30

Percentage Passed

25
20
15

Greenside Darter
Golden Shiner

10

Blacknose dace

5
0
Qmin
Monthly avg...
Culvert Locations
Average Culvert
• Seven fish species in its watershed;
• Circular plain concrete reinforced culvert;
• Diameter = 36 inche...
FishXing Result for Average Culvert
Fish Species

Qmin

Qmax

FPS25

PK2

White Sucker

d

d,v

d

v

Central Stoneroller
...
Percent times (%)

HEC-RAS Result for Average Culvert
100
90
80
70
60
50
40
30
20
10
0

No barrier
Depth barrier
Velocity ...
Differences between FishXing and
HEC-RAS
• Every month modeled
• Velocity distribution modeled for reduced
velocity zones ...
Conclusion
• The most common cause culverts acted as
barriers in NE Ohio was excessive velocity
• Results obtained with th...
QUESTIONS AND
SUGGESTIONS
Contact:
Bishes.Rayamajhi@pnnl.gov
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Should Fish Passage through Culverts be a Concern for Midwest Engineers and Planners: Determining the Percentage of Culverts that act as Barriers to Fish Passage in NE Ohio, World Environmental and Water Resources Congress 2012

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Should Fish Passage through Culverts be a Concern for Midwest Engineers and Planners: Determining the Percentage of Culverts that act as Barriers to Fish Passage in NE Ohio, World Environmental and Water Resources Congress 2012

  1. 1. Should Fish Passage through Culverts be a Concern for Midwest Engineers and Planners: Determining the Percentage of Culverts that act as Barriers to Fish Passage in NE Ohio Bishes Rayamajhi Pacific Northwest National Laboratory, Youngstown State University Coauthors: Vasconcelos JG, Devkota JP, Baral D, Tritico HM
  2. 2. Goals of the Project • Evaluate fish migration barrier culverts in NE Ohio. • Reasons for the culverts to act as barriers. • Results comparison between two fish passage modeling software; FishXing and HEC-RAS.
  3. 3. Resources Used • • • • • Culvert specification data from ODOT; Discharge predictions from USGS Streamstats; USGS seamless data inventory; ArcGIS; Fish data: Ohio Gap analysis and FishXing.
  4. 4. FishXing • A computer model developed by the US Forest Service, • Compares the fish performance with the culvert hydraulics – Culvert water velocity with fish swimming speed – Culvert water depth with fish depth
  5. 5. HEC-RAS • One-dimensional flow simulation software developed by USACE. • An additional code developed by Vasconcelos JG. was used for fish passage simulation.
  6. 6. Culvert Data • From 5,837 culverts in ODOT database 169 culverts having sufficient information of material, slope, diameter, and shape. • At present 55 culverts were analyzed using FishXing. • One average culvert was modeled in HEC-RAS as well as FishXing.
  7. 7. USGS Flow Predictions • PK2 – Peak two year flood; • FPS 25 – 25th percentile flow; • Maximum and minimum average monthly discharge for a year.
  8. 8. USGS Seamless Data Warehouse • Digital Elevation Model (DEM) • 1/9 arc sec (3 meter) resolution
  9. 9. Fish Data • From Ohio Gap Analysis, only the fish with known swimming speed were taken. • FishXing fish data was used for obtaining the swimming speed.
  10. 10. Fish Used Fish Name Fish Fish Height Fish Velocity Length (ft) (ft) (ft/s) Central stoneroller 0.2 0.05 1.31 White sucker 1.25 0.22 2.52 Northern pike 2.08 0.3 1.58 Greenside darter 0.17 0.02 1.02 Pumpkinseed 0.42 0.18 1.22 Longear sunfish 0.29 0.11 1.28 Smallmouth bass 1.13 0.3 2.68 Largemouth bass 1.38 0.39 3.44 Golden shiner 0.46 0.14 2.43 Blacknose dace 0.14 0.02 1.26
  11. 11. FishXing Results 33% Partial Passage Total Barrier 67%
  12. 12. FishXing Results 30 Percentage Passed 25 20 15 Greenside Darter Golden Shiner 10 Blacknose dace 5 0 Qmin Monthly avg. Qmax FPS 25 Monthly avg. Flow conditions PK2
  13. 13. Culvert Locations
  14. 14. Average Culvert • Seven fish species in its watershed; • Circular plain concrete reinforced culvert; • Diameter = 36 inches, Length = 100 ft, Slope = 1 in 100. • Flow predictions; Qmin = 0.03 cfs, Qmax = 0.51 cfs, FPS 25 = 0.02 cfs, PK2 = 38.4 cfs.
  15. 15. FishXing Result for Average Culvert Fish Species Qmin Qmax FPS25 PK2 White Sucker d d,v d v Central Stoneroller d,v v v l,d Pumpkinseed d,v d,v d v Longear sunfish d,v v d,v,l v Smallmouth bass d d,v d v Largemouth bass d d d v Blacknose dace v v l v
  16. 16. Percent times (%) HEC-RAS Result for Average Culvert 100 90 80 70 60 50 40 30 20 10 0 No barrier Depth barrier Velocity barrier Fish Species
  17. 17. Differences between FishXing and HEC-RAS • Every month modeled • Velocity distribution modeled for reduced velocity zones (Vasconcelos et al., 2011) • Multiple cross-sections upstream and downstream
  18. 18. Conclusion • The most common cause culverts acted as barriers in NE Ohio was excessive velocity • Results obtained with the HEC-RAS tool showed moderately better passage conditions compared to FishXing. • Results will be helpful for better culvert designs and increased fish passage.
  19. 19. QUESTIONS AND SUGGESTIONS Contact: Bishes.Rayamajhi@pnnl.gov

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