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Use of an autonomous sensor to evaluate the biological
performance of the advanced turbine at Wanapum Dam
Zhiqun Deng,a) Thomas J. Carlson, Joanne P. Duncan, Marshall C. Richmond, Dennis D.
Dauble
Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352,
USA
Abstract
Hydropower is the largest renewable energy resource in the United States and the
world. However, hydropower dams have adverse ecological impacts because migrating
fish may be injured or killed when they pass through hydro turbines. In the Columbia
and Snake River basins, dam operators and engineers are required to make those
hydroelectric facilities more fish-friendly through changes in hydro-turbine design and
operation after fish population declines and the subsequent listing of several species of
Pacific salmon under the Endangered Species Act of 1973. Public Utility District No. 2
of Grant County, Washington, requested authorization from the Federal Energy
Regulatory Commission to replace the 10 turbines at Wanapum Dam with advanced
hydropower turbines designed to improve survival for fish passing through the turbines
while improving operation efficiency and increasing power generation. As an additional
measure to the primary metric of direct injury and mortality rates of juvenile Chinook
salmon using balloon tag-recapture methodology, this study used an autonomous sensor
device—the Sensor Fish—to provide insight into the specific hydraulic conditions and
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physical stresses experienced by the fish, as well as the specific causes of fish biological
response. We found that the new hydro-turbine blade shape and the corresponding
reduction of turbulence in the advanced hydropower turbine were effective in meeting the
objectives of improving fish survival while enhancing operational efficiency of the dam.
The frequency of severe events based on Sensor Fish pressure and acceleration
measurements showed trends similar to those of fish survival determined by balloon tag-
recapture methodology. In addition, the new turbine provided a better pressure and rate
of change environment for fish passage. Overall, the Sensor Fish data indicated that the
advanced hydro-turbine design improved passage of juvenile salmon at Wanapum Dam.
Keywords: hydropower, dams, advanced turbine, fish passage, sensor fish device
a) Author to whom correspondence should be addressed. Electronic mail: [email protected]. Tel: +1-
509-372-6120. FAX: +1-509-372-6089
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I. INTRODUCTION
Hydropower is the world’s largest renewable energy resource, accounting for more
than 75% of the global total renewable electric power capacity.1 In the United States,
hydropower provides about 70% of the total renewable electric generation and 6% of the
total electricity, with the Columbia and Snake River basins contributing to 50% of the
nation’s total hydroelectric energy.2 However, hydropower dams may injure or kill fish
that live in or migrate through impounded river systems.3-5 Several species of
anadromous Pacific salmon in the Columbia and Snake River basins are currently listed
for protection under the Endangered Species Act of 1973. Consequently, dam operators
and engineers are required to make these hydroelectric facilities more fish-friendly
through changes in hydro-turbine design and operation.6,7
In 2003, the Public Utility District No. 2 of Grant County, Washington (Grant PUD)
requested authorization from the Federal Energy Regulatory Commission (FERC) to
replace the 10 turbines at Wanapum Dam on the Columbia River in Washington State.8
The existing Kaplan-type turbines have been in place for more than 40 years and were
reaching the end of their useful machine life. Grant PUD proposed to replace the turbines
with an advanced hydropower turbine (AHT) design that would include features to
improve survival for fish passing through the turbines while improving operation
efficiency and increasing power generation from 895 megawatts (MW) to 1,118 MW.
Major changes in the AHT design to reduce adverse impacts to fish during turbine
passage and improve hydraulic conditions included reshaped stay vanes, improved
alignment and reduced size of wicket gates, a runner with six blades (the existing one has
five blades), a discharge ring to eliminate gaps at the hub and discharge ring, and
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reshaped draft tube to reduce turbulence. Major features of the AHT design for
improving operation efficiency and increasing power generation included a larger turbine
runner diameter, greater hydraulic capacity, and increased number of wicket gates (Fig.
3). One of these AHTs was installed at Wanapum Dam turbine Unit 8 for testing in
2005.
The first step in biological performance testing for the new AHT was to compare fish
passage and survival estimates and hydraulic conditions between the AHT and existing
conventional turbine designs. Based on this information, a decision would be made on
whether to proceed with replacement of the remaining nine turbines with the new AHTs.
The U.S. Department of Energy Office of Energy Efficiency and Renewable Energy
provided co-funding to Grant PUD for aspects of performance testing that supported the
FERC application. The primary measure of biological performance for the application
was direct injury and mortality rates of juvenile Chinook salmon as determined by
balloon tag-recapture methodology.9,10 A randomized block experiment was conducted
that included the two turbine types (conventional and AHT), three intake bays, two
entrainment locations within each turbine, and four discharge levels.11 Although balloon
tag-recapture field studies are used routinely to evaluate turbine biological performance,
they do not provide insight into the specific hydraulic conditions or physical stresses that
the fish experience or the specific causes of the biological response. To overcome this
limitation, an autonomous sensor device developed by Pacific Northwest National
Laboratory was released concurrently with balloon-tagged live fish to measure hydraulic
conditions such as pressure, acceleration, and rotation acting on the sensor’s body in situ
during downstream passage.12,13 The specific objectives of this study were 1) to develop
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and apply a methodology to classify Sensor Fish acceleration events and to analyze those
events for general regions within the turbine system; 2) to statistically analyze Sensor
Fish data together with live fish biological response data; and 3) to use Sensor Fish data
to assess whether the AHT design features led to improved biological performance.
II. METHODS
A. Test site
Wanapum Dam is within the Priest Rapids Project and is located in central
Washington State on the Columbia River at river kilometer (rkm) 668 (Fig. 1). It consists
of a 305-m 10-turbine powerhouse, a 250-m 12-bay spillway, and a non-overflow earth-
fill section. Columbia River average discharge at this location is approximately 3,400
m3/s.
B. Sensor Fish device
The Sensor Fish (Fig. 2) is an autonomous device developed at Pacific Northwest
National Laboratory for the U.S. Department of Energy and the U.S. Army Corps of
Engineers to better understand the physical conditions fish experience during passage
through hydro turbines, spillways, and other dam bypass alternatives. It measures the
three-dimensional linear acceleration and three-dimensional angular velocities, plus
pressure and temperature, at a sampling frequency of 2,000 Hz. The Sensor Fish device
is 24.5 mm in diameter and 90 mm in length, weighs 42 g (comparable to a yearling
salmon smolt), and is nearly neutrally buoyant in fresh water. Sensor Fish devices
deployed for such studies are tested in a calibration apparatus prior to deployment. The
relative errors of both the linear acceleration and angular velocity measurements are
consistently less than 5%.13 The Sensor Fish has been used extensively in both
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laboratory environments14 and hydroelectric dam field environments15 to correlate with
fish injury and provide information on severe hydraulic conditions.
C. Study design
The existing turbine at Wanapum Dam Unit 9 was selected as the conventional
turbine to compare with the new AHT at Unit 8. Passage conditions (treatments)
consisted of combinations of factors including turbine discharge, the intake bay, and
release depth (entrainment depth). In both turbines, Sensor Fish were injected at the
centerline of each of three intake bays and at two elevations (152 m and 146 m, termed
shallow and deep releases, respectively) at the same horizontal locations (Fig. 3). The
two release pipe elevations were 3 m and 9 m lower than the turbine ceiling elevation
(155 m). Consideration of elevation prior to turbine runner passage is critical because
previous turbine biological assessments have found the elevation of entry influences the
turbine passage route. For Kaplan turbines, fish passing lower through the wicket gates
will pass nearer the runner blade tips while those passing higher through the wicket gates
will pass nearer to the runner hub assuming fish follow the flow streamlines. Mortality
rates for fish are significantly higher for fish that pass near the blade tips than for those
that pass mid-blade and near the runner hub.16 All sensor fish releases were interspersed
with the balloon-tagged fish being evaluated in a separate study conducted by
Normandeau Associates, Inc.17 Four discharge conditions (255, 311, 425, and 481 m3/s)
were evaluated for each turbine, in addition to a maximum discharge condition of 524
m3/s for the AHT. A total of 891 Sensor Fish were released.
D. Data analysis
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Pressure measurements were used to estimate the depth and location of the Sensor
Fish device. For both the conventional turbine and AHT, general distinctive features
were associated with passage locations, including the time of passage from the injection
pipe exit into the turbine intake, through the stay vane-wicket gate cascade, through the
runner and runner wake, and through the draft tube (Fig. 4).
When Sensor Fish contact solid structures or are impacted by turbulent shear, high-
amplitude impulses occur in the acceleration and rotational velocity time history. If the
acceleration reaches a certain threshold, the exposure is counted as an exposure event.
Based on previous laboratory studies18, the event is further categorized into three levels
according to the acceleration magnitude (|a|): 1) severe if ga 95≥ ; 2) medium if
gag 5095 ≥> ; and 3) slight if gag 2550 ≥> . The identification of an event as
collision or shear is based on the characteristics of acceleration during the exposure
event. Peak duration was defined as the duration of acceleration within 70% of the peak
value and used as the criterion to distinguish collision from shear: the exposure event is a
collision event when peak duration is less than 0.0075 second, and the event is a shear
event when peak duration is longer than 0.0075 second.13 Standard deviations of the
probabilities of collisions or shear events were derived using the bootstrapping method.19
In addition to injury from collisions and shear, fish may be injured or killed by
exposure to rapid changes in pressure during turbine passage. The magnitude and rate of
change in pressure are greatest during passage from the wicket gates to exit of the runner.
The lowest pressures (nadir pressure) are observed on the underside, or “suction” side, of
turbine blades, while the highest are observed on the upper surface of the blades.
Changes in the operating geometry of a turbine as well as the design of runner blades and
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other turbine elements also affect the magnitude and distribution of pressure in a turbine.
To account for the complexity of the pressure environment, we computed the range and
median of nadir total pressure for each treatment and rate of pressure calculations. The
magnitude of pressure change was computed from the pressure measurements obtained
by sensors as they were carried in flow from the wicket gates through the nadir around
the turbine runner. Pressure rate of change was then estimated by dividing the pressure
change measurement by the corresponding travel time.
III. Results and discussion
A. Exposure events
Severe exposure events were primarily collisions. Of the 891 total releases, there
were 185 severe collision events compared to 18 severe shear events. When all
discharges and release elevations are combined, the number of severe events in the stay-
vane/wicket-gate and draft tube regions was effectively the same for both turbines (Fig.
5). The new AHT at Unit 8 had a lower probability of severe events in the runner region
compared to those at the conventional turbine at Unit 9. However, due to small sample
size, there were no clear trends when the data were examined by discharge and release
elevation.
In the intake region for both turbines, there were only very few slight events (6
collisions and 1 shear); there were no severe or medium events. In the stay-vane/wicket-
gate region, the AHT had a slightly higher probability of severe collision (13.6% ± 1.5%)
than the conventional turbine (10.7% ± 1.7%). Both turbines had very few severe shear
events (0.4% and 0.8%, respectively), but the AHT had more slight shear events (14.2%
± 1.5%) than the conventional turbine (6.2% ± 1.3%). In the runner region, the
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conventional turbine had more severe collision events (9.6% ± 1.6%) and more severe
shear events (3.9% ± 1.0%) than the AHT (4.9% ± 0.9% for severe collision and 0.7% ±
1.1% for shear). In the draft tube region, there were very few slight shear events (a total
of four) and no severe or medium shear events for both units. In addition, the percentage
of severe collisions was almost identical for the AHT (3.4% ± 0.8%) and the
conventional turbine (3.4% ± 1.0%) in this region.
When all four regions were pooled together (Fig. 6), the two turbines had almost
identical probability of severe collisions at 20.5% ± 1.8% and 21.1% ± 2.2% even though
the AHT had a 6-blade runner while the conventional turbine had a 5-blade runner. In
addition, the probabilities for both medium and slight collisions were similar for both
turbines. The AHT had fewer severe shear events (1.1% ± 0.5%) than the conventional
turbine (3.4% ± 1.2%), but the AHT had more slight shear events (29.3% ± 2.0%) than
the conventional turbine (19.7% ± 2.5%), possibly due to the addition of more wicket
gates to the AHT (i.e., 32 compared to 20 for the conventional turbine).
There was no statistical evidence to suggest a significant difference of severe or
medium events for these two turbines with all shear and collision combined. However,
the AHT produced a slightly lower probability of severe events (21.3% ± 1.8%) than Unit
9 (23.7 ± 2.2%). For both turbines, the Sensor Fish device released from the deep
location (146-m elevation) experienced a significantly higher probability of a severe or
medium event than those from shallow releases (Fig. 7). This finding is consistent with
the results of the live fish study showing that fish from deep releases had significantly
lower survival rates that those from shallow releases.17
B. Pressure
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Recent research using simulated turbine passage pressure exposure indicates that
factors such as nadir pressure, the depth acclimation history of fish and their state of
buoyancy prior to turbine entry, significantly affect rates of injury and mortality.20
Median nadir total pressure and range measured by the sensor fish device decreased with
discharge for both turbine units (Fig. 8). The new AHT showed higher nadir values and a
narrower range than the conventional turbine. The difference in median nadir pressure
was consistent at approximately 23 kPa for all discharges. However, the lowest nadir
pressures observed for the new turbine were approximately 70 kPa higher than those for
the existing design turbine at the highest discharges tested.
The magnitude of pressure change from the turbine wicket gate through the runner
exit was found to be consistently higher across discharge for both turbines for deep
releases (Fig. 9). The new AHT had a smaller pressure change than the conventional
turbine at the same release depth. However, the mean values for the shallow releases for
the conventional turbine were lower or similar to those for the AHT deep releases. The
highest rates of change were observed for the deep releases for the conventional turbine.
The lowest pressure changes were observed for the shallow releases for the AHT.
The average pressure rate of change steadily increased with discharge for both test
turbines (Fig. 10). Trends similar to those observed for the magnitude of change in
pressure were evident in the rate of change observations as well. The highest average
rates of change were observed for the deep releases in the conventional turbine unit. The
lowest rates of change were observed for the shallow releases in the new AHT.
C. Comparison of Sensor Fish device data with live fish data
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There were fewer severe events for shallow versus deep releases, which was
reflected in fish survival rates (Table I). The overall rates of severe events for each
turbine were similar, although the AHT had slightly fewer events than the conventional
turbine. This trend was not reflected in the live fish survival rate, where the AHT had a
slightly lower survival rate than the conventional turbine. 17 However, the differences
were not significant. The survival rates were only the direct effects of turbine passage
from the turbine system. Fish were recovered immediately after they passed through the
dam and held for 48 hours. Fish injuries due to predation were excluded when estimating
the injury rates due to the turbine environment. Indirect mortality that may occur at a later
time as a result of passage through the hydro-system was not considered either. Overall,
the results could not reject the primary hypothesis that fish survival rate through the new
AHT is equal or better than that through the original turbine.
III. Conclusion
Although the AHT at Unit 8 had a six-blade runner, it showed a reduced rate of severe
collisions (4.9% ± 0.9%) compared to the five-blade runner of the conventional turbine at
Unit 9 (9.6% ± 1.6%). Severe shear events were also fewer in the AHT. These results
suggested that the new blade shape and the corresponding reduction turbulence in the
AHT were effective in meeting the objectives of improving fish survival while enhancing
operational efficiency and increasing power generation. The draft tube in the AHT was
also modified to improve hydraulic conditions. However, Sensor Fish results did not
show a significant difference in severe events between the two turbines that corresponded
to passage through this region. The frequency of severe events, based on Sensor Fish
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pressure and acceleration measurements, showed similar trends to fish survival
determined by balloon-tag tests. This trend was consistent within each turbine unit and
by entrainment depth. In addition, the new AHT turbine provided better pressure and rate
of change environment for fish passage. Overall, the Sensor Fish data indicated that the
AHT design improved the passage of juvenile salmon at Wanapum Dam. The Federal
Energy Regulatory Commission approved the relicensing application of Wanapum Dam
by Grant PUD, and the remaining nine turbine units are being replaced with the AHT
turbines and will be completed by 2012.
Acknowledgments
This project was funded by Grant PUD and the U.S. Department of Energy (DOE)
Office of Energy Efficiency and Renewable Energy Wind and Hydropower Technologies
Program. Curt Dotson was the contracting officer for Grant PUD, and Jim Ahlgrimm
was the contracting officer for DOE. We also wish to thank Grant PUD, Normandeau
Associates, Inc., and numerous PNNL staff. The Pacific Northwest National Laboratory
(PNNL) is owned by DOE and operated by Battelle Memorial Institute under Contract
DE-AC05-76RL01830.
References
1REN21. Renewables Global Status Report 2009.
www.ren21.net/pdf/RE_GSR_2009_Update.pdf (2009).
2Energy Information Administration (EIA). Renewable Energy Trends in Consumption
and Electricity 2007. http://www.eia.doe.gov/fuelrenewable.html (2009).
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3W. Nehlsen, J. E. Williams, and J. A. Lichatowich, Pacific salmon at the crossroads:
stocks at risk from California, Oregon, Idaho, and Washington, Fisheries 16(2):4-21
(1991).
4G. F. Čada, The development of advanced hydroelectric turbines to improve fish passage
survival, Fisheries 26(9):14–23 (2009).
5P. Kareiva, M. Marvier, and M. McClure, Recovery and management options for
spring/summer Chinook salmon in the Columbia River Basin, Science 290(5493):977–
979. DOI: 10.1126/science.290.5493.977 (2000).
6C. C. Coutant and R. R. Whitney, Fish behavior in relation to passage through
hydropower turbines: A review, Trans. No. Am. Fish. Soc. 129 (2):351–380 (2000).
7M. Odeh and G. Sommers, New design concepts for fish friendly turbines, Int. J.
Hydropower and Dams 73(3):64–71 (2000).
8Public Utility District No. 2 of Grant County, Washington, “Application submitted in
response to request for Applications DE-RP07-02ID14268 Manufacture, Installation, and
Testing of New Environmentally-Friendly Hydropower Turbine Designs,” Ephrata,
Washington (2003).
9P. G. Heisey, D. Mathur, and T. Rineer, A reliable tag-recapture technique for estimating
turbine passage survival: application to young-of-the-year American shad (Alosa
sapidissima), Can. J. Fish. Aqua. Sci. 49:1826-1834 (1992).
14
10D. Mathur, P. G. Heisey, E. T. Euston, J. R. Skalski, and S. Hays, Turbine passage
survival estimation for Chinook salmon smolts (Oncorhynchus tshawytscha) at a large
dam on the Columbia River, Can. J. Fish. Aqua. Sci. 53(3):542–549 (1996).
11J. R. Skalski, R. L. Townsend, and Normandeau Associates, Inc., Quantitative
Evaluation of the Performance of the New Advanced Hydro Turbine System (AHTS) at
Wanapum Dam, Columbia River, Washington, prepared for Public Utility District No. 2
of Grant County, Ephrata, Washington (2005).
12T. Carlson, J. Duncan, and T Gilbride, The Sensor Fish: measuring fish passage in
severe hydraulic conditions, Hydro Review 22(3): 62–69 (2003).
13Z. Deng, T. J. Carlson, J. P. Duncan, and M.C. Richmond, Six degrees of freedom
Sensor Fish design and instrumentation, Sensors 7(12):3399–3415 (2007).
14M. C. Richmond, Z. Deng, C. A. McKinstry, R. P. Mueller, T. J. Carlson, and D. D.
Dauble, Response relationship between juvenile salmon and an autonomous sensor in
turbulent flows, Fisheries Research 97(1-2):134-139. DOI:10.1016/j.fishres.2009.01.011
(2009).
15 Z. Deng, T. J. Carlson, J. P. Duncan, and M. C. Richmond, Applications of the sensor
fish technology, Hydro Review 26(5):34–41 (2007).
16D. Mathur, P. G. Heisey, J. R. Skalski, and D. R. Kenney, Salmonid smolt survival
relative to turbine efficiency and entrainment depth in hydroelectric power generation, J.
Am. Water Resour. Assoc. 36(4):737–747 (2000).
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17Normandeau Associates, Inc., J. R. Skalski, and R. Townsend, Performance Evaluation
of the New Advanced Hydro Turbine (AHTS) at Wanapum Dam, Columbia River,
Washington, prepared for Grant County PUD by Normandeau Associates, Drumore,
Pennsylania (2005).
18Z. Deng, G. R. Guensch, C. A. McKinstry, R. P. Mueller, D. D. Dauble, and M. C.
Richmond, Evaluation of fish-injury mechanisms during exposure to turbulent shear
flow, Can. J. Fish. Aqua. Sci. 62(7):1513–1522 (2005).
19B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap (Chapman & Hall, New
York, 1993).
20R. S. Brown, T. J. Carlson, A. E. Welch, J. R. Stephenson, C. S. Abernethy, B. D.
Ebberts, M. J. Langeslay, M. L. Ahmann, D. H. Fei, J. R. Skalski, and R. L. Townsend,
Assessment of barotrauma from rapid decompression of depth-acclimated juvenile
Chinook salmon bearing radiotelemetry transmitters, Trans. No. Am. Fish. Soc.
138:1285-1301. DOI: 10.1577/T08-122.1 (2009).
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Tables
TABLE I. Comparison of Sensor Fish severe event (collision and shear) and live fish
survival rates for each turbine. Live fish data are from Normandeau et al.17 Standard
error is in parentheses.
TurbineEntraiment
depthSensor Fish
device samplesSevere Event
(+/- SE)Live fish samples
Live Fish 48-h Survival(+/- SE)
Shallow 223 14.3% (2.3%) 1833 98.5% (0.6%)AHT Deep 313 26.2% (2.5%) 1834 95.5% (0.6%)
Pooled 536 21.3% (1.8%) 3667 97.0% (0.7%)Shallow 181 16.6% (2.8%) 1829 97.9% (0.6%)
Conventional Deep 174 31.0% (3.5%) 1829 97.1% (0.7%)Pooled 355 23.7% (2.2%) 3658 97.5% (0.5%)
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Figures
FIG. 1. Location of Wanapum Dam on the Columbia River in central Washington State.
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FIG 2. Sensor Fish device. Drawing shows the measurement axes for the three
components of linear acceleration (up-down, forward-back, and side-to-side)
and three components of angular velocities (pitch, roll, and yaw).
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FIG. 3. Side and top views of turbine intake, scrollcase, draft tube, and location of live
fish and Sensor Fish release pipes.
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Time (second)
Abs
olut
epr
essu
re(k
Pa)
34 35 36 37 380
100
200
300
400
Stay vane -wicket gatecascade
Runner passage
In draft tube
Collision withstay vane
Time (second)
Rot
atio
nalv
eloc
ity(d
eg/s
)
34 35 36 37 38 0
500
1000
1500
2000
2500
Time (second)
Acc
eler
atio
n(g
)
34 35 36 37 38 0
50
100
150
200
250
FIG 4. An example of turbine passage measurements using the Sensor Fish device at
Wanapum Dam.
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FIG 5. Comparison of probabilities of severe collision or shear events in different
regions of the turbine with all discharges and release elevations combined.
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FIG 6. Comparison of probabilities of collision and shear events for the two turbines,
with all regions, discharges, and release elevations combined.
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FIG 7. Comparison of probabilities of exposure events by different release pipe
elevations, with all regions and discharges combined.
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0
40
80
120
160
200
200 250 300 350 400 450 500 550
Med
ian
tota
l pre
ssur
e at
nad
ir an
d ra
nge
(kPa
)
Unit discharge (m3/s)
AHTConventional
FIG 8. Median and range of lowest pressure (nadir) recorded by Sensor Fish.
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FIG. 9. Average magnitude of change in pressure during transit of the sensor from
wicket gate passage to exit from the turbine runner as a function of discharge
and release elevation.
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FIG. 10. Average rate of change in pressure during transit of the sensor from wicket gate
passage to exit from the turbine runner as a function of discharge and release
elevation.