Hydroacoustic Evaluation of Fish Passage Through Bonneville Dam in 2002

Ploskey, Gene R.; Schilt, Carl R.; Kim, J; Escher, Charles; Skalski, John R.

doi:10.2172/15004453

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…Bonneville Dam was the only location that routinely missed that threshold (the estimate exceeded that level in one of six studies). The estimated FPE at Bonneville Dam was approximately 0.70, which is unchanged relative to estimates dating back to 2002 (Ploskey et al 2003).…”

Section: Discussionmentioning

confidence: 64%

Passage and Survival of Juvenile Salmonid Smolts through Dams in the Columbia and Snake Rivers, 2010–2018

Skalski

Whitlock

Townsend

et al. 2021

N American J Fish Manag

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Minimizing the mortality and migration time of juvenile salmon (smolts) that pass through dams is a long‐standing objective in the pursuit of salmon recovery in the Columbia River basin. We compiled and analyzed 40 acoustic tag studies of juvenile salmonid that were performed between 2010 and 2018 at seven of the eight hydroelectric projects in the Federal Columbia River Power System. We found that the use of nonturbine routes decreased monotonically moving downstream from the Snake River to the main‐stem Columbia River dams and associated mortality differed substantially between the dams in the two rivers. Spillways were the predominant passage route at the main‐stem Columbia River dams. In contrast, passage was more common through the surface weirs and juvenile bypass systems at the dams in the Snake River, which generally provided higher survival. The observed stocks exhibited variable passage behaviors and mortalities, and the estimated probability that an individual would pass through all eight dams in the system without using a turbine route was 0.31, 0.47, and 0.60 for subyearling Chinook Salmon Oncorhynchus tshawytscha, yearling Chinook Salmon, and steelhead O. mykiss, respectively. Although subyearling Chinook Salmon were generally more likely to pass through a turbine route, they also experienced less turbine‐associated mortality than did the other stocks, especially steelhead. Notably, the proportion of smolts that passed through the spillway relative to the proportion of water through the spillway was lowest at Bonneville Dam, the largest and lowermost dam in the system. Bonneville Dam also stood out as having the highest proportion of smolts passing through turbines, but it was among the locations with the lowest rates of turbine‐associated mortality.

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Section: Discussionmentioning

confidence: 64%

Passage and Survival of Juvenile Salmonid Smolts through Dams in the Columbia and Snake Rivers, 2010–2018

Skalski

Whitlock

Townsend

et al. 2021

N American J Fish Manag

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“…If gap losses are included in FGE estimates by radio telemetry, partially included in netting estimates, and not included in hydroacoustic estimates, managers can view hydroacoustic and netting estimates as the potential FGE that could be achieved and radio-telemetry estimates as the worst case including gap loss. In spring 2002, Ploskey et al (2003) found better correlation between hydroacoustic and radio telemetry estimates of the percent distribution of fish passage among B2 units than they did between FGE estimates for specific units. Both methods detected a southerly skew in the distribution of fish passage.…”

Section: Didson-based Estimatesmentioning

confidence: 76%

“…The hydroacoustic evaluation in 2002 produced FGE estimates for Units 15 and 17 that were significantly higher than were those of all other unmodified units at B2, except for unmodified Unit 14 located near the center of the powerhouse in spring and summer (Ploskey et al 2003). Hydroacoustic FGE estimates based upon nighttime sampling of Unit 17 on the same nights that 1 to 2 hour netting samples were taken by NOAA Fisheries were within 8% to 12% of the netting estimates in both seasons (Ploskey et al 2003). The hydroacoustic estimates were 8% higher than were the netting estimates at the B slot and were 12% higher than were the netting estimates at the C slot in spring.…”

Section: Structural Modifications At B2 Intakes -2001mentioning

confidence: 87%

“…In summer, DIDSON-based estimated gap loss was about 26% of guided fish in modified Intake 17C and 27% in unmodified Intake 13B. Except for the 4% estimate for modified Intake 17B in spring, the 2002 DIDSON estimates were substantially higher than were the netting estimates (Ploskey et al 2003), and those differences must be reconciled to understand how much gap loss may be affecting the accuracy of FGE estimates by netting and hydroacoustics.…”

Section: Structural Modifications At B2 Intakes -2001mentioning

confidence: 94%

“…The netting estimate by NOAA fisheries (Monk et al, In prep. ) averaged 60%, about 5% below the hydroacoustic estimate (Ploskey et al 2003) and 33% above the radio telemetry estimate (Evans et al 2003).…”

Section: Didson-based Estimatesmentioning

confidence: 99%

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Evaluation of Fish Losses through Screen Gaps at Modified and Unmodified Intakes of Bonneville Dam Second Powerhouse in 2003

Ploskey¹,

Weiland²,

Schilt³

2004

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In a 2003 study by Pacific Northwest National Laboratory (PNNL) for the U.S. Army Corps of Energy, we sampled nine gatewell slots at Bonneville Dam Second Powerhouse (B2) with a Dualfrequency Identification SONar (DIDSON) acoustic imaging device to estimate the gap loss of juvenile salmonids. Gap loss is the number of fish guided by screens but lost to turbine passage through the gaps between the tops of submerged traveling screens (STSs) and the intake ceilings. Six of the intakes (Units 15 and 17) had been modified to improve fish guidance efficiency (FGE, the proportion of fish passing above intake screens) while the three unmodified intakes at Unit 13 served as controls. All three units had similar configurations of turbine intake extensions (TIES). Intake modifications included removal of concrete between the gatewell and bulkhead slots to increase the area of the vertical barrier screen and installation of a turning vane and gap-closure device to direct more flow up into the gatewell slot.This study was to determine if those modifications, which did increase FGE, had the added benefit of reducing gap loss. In the unmodified intakes of Unit 13 we also sampled with infrared optical cameras to evaluate the proportions of fish and non-fish objects passing through the STS gaps and found that fish composed just 28.6% of all objects in spring and 12.9% in summer. Experiments in a laboratory tank confirmed that the DIDSON detects echoes from the surfaces of waterlogged sticks, macrophytes, and other debris as well as from fish. We developed filters based on target size, motion, range at first appearance, and the number of frames in which a target was seen to discriminate between fish and nonfish images. Filtered data produced estimates within 6% of those obtained by multiplying unfiltered DIDSON counts by the fish fraction estimated from optical-camera data.Results suggest that the intake modifications at Units 15 and 17 reduced gap loss relative to rates at unmodified Unit 13 by about 67% in spring and summer. An analysis of variance of differences in gap loss among units with modified and unmodified intakes (n = 9) indicated significantly higher gap loss in unmodified units than in modified units. In spring, the least-square mean rate for unmodified Unit 13 was 11.4% and this rate was significantly higher (P = 0.0001) than rates of 3.8% at modified Unit 15 and 3.6% at modified Unit 17, which did not differ significantly. In summer, the least-square mean rate for unmodified Unit 13 was 12.6% and this rate was significantly higher (P = 0.0188) than rates of 5.8% at modified Unit 15 and 3.4% at modified Unit 17.In spring, unmodified Intakes 13B and 13C had higher gap losses than all other intakes, and unmodified Intake 13A gap loss also was higher than were those of all modified intakes, except perhaps that of 15A, which lacked a gap-closure device. In summer, unmodified Intakes 13B and 13C also had higher gap losses than all other intakes, which did not appear to differ significantly from each other, except perhaps...

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Hydroacoustic Evaluation of Fish Passage through Bonneville Dam in 2004

Ploskey¹,

Weiland²,

Schilt³

et al. 2005

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Hydroacoustic Evaluation of Fish Passage through Bonneville Dam in 2004iii AbstractThe Portland District of the U.S. Army Corps of Engineers requested that the Pacific Northwest National Laboratory (PNNL) conduct fish-passage studies at Bonneville Dam in 2004. These studies support the Portland District's goal of maximizing fish-passage efficiency (FPE) and obtaining 95% survival for juvenile salmon passing Bonneville Dam. Major passage routes include 10 turbines and a sluiceway at Powerhouse 1 (B1), an 18-bay spillway, and eight turbines and a sluiceway at Powerhouse 2 (B2).In this report, we present results of four studies related to juvenile salmonid passage at Bonneville Dam. The studies were conducted between April 15 and July 15, 2004, encompassing most of the spring and summer migrations. Studies included evaluations of 1) project fish passage efficiency and other major passage metrics, 2) B2 fish guidance efficiency and gap loss, 3) smolt approach and fate at the B2 Corner Collector (B2CC), and 4) B2 vertical barrier screen head differential. Appendices A through I are presented on the accompanying compact disk (CD). Most are in an Adobe Acrobat portable document format (PDF) and six large tables in Appendix E (E3-E8) are presented only as comma-separated-variable files. The CD also includes a PDF version of the report.

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Hydroacoustic Evaluation of Fish Passage Through Bonneville Dam in 2002

Cited by 5 publications

References 10 publications

Passage and Survival of Juvenile Salmonid Smolts through Dams in the Columbia and Snake Rivers, 2010–2018

Passage and Survival of Juvenile Salmonid Smolts through Dams in the Columbia and Snake Rivers, 2010–2018

Evaluation of Fish Losses through Screen Gaps at Modified and Unmodified Intakes of Bonneville Dam Second Powerhouse in 2003

Hydroacoustic Evaluation of Fish Passage through Bonneville Dam in 2004

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