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Assessing Fish Passage Success in Cu...

Jefferies, Alexandra West.

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Assessing Fish Passage Success in Culvert Structures with the Development of a Two-Dimensional Algorithm Considering Physical Capabilities of Juvenile Salmonids.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Assessing Fish Passage Success in Culvert Structures with the Development of a Two-Dimensional Algorithm Considering Physical Capabilities of Juvenile Salmonids./
Author:	Jefferies, Alexandra West.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	67 p.
Notes:	Source: Masters Abstracts International, Volume: 56-03.
Contained By:	Masters Abstracts International56-03(E).
Subject:	Hydrologic sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10265471
ISBN:	9781369699913

Assessing Fish Passage Success in Culvert Structures with the Development of a Two-Dimensional Algorithm Considering Physical Capabilities of Juvenile Salmonids.
Jefferies, Alexandra West.

Assessing Fish Passage Success in Culvert Structures with the Development of a Two-Dimensional Algorithm Considering Physical Capabilities of Juvenile Salmonids. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 67 p.

Source: Masters Abstracts International, Volume: 56-03.

Thesis (M.S.)--University of Alaska Anchorage, 2017.

Fish passage through culvert structures requires suitable behavioral and physical conditions for fish. Current practice consists of "stream simulation" design where the stream is replicated throughout the crossing structure; however, space and/or budget constraints do not always allow this practice and require the designer to model hydraulics against fish swimming abilities to assess for barriers. Current models are one-dimensional and can be overly conservative.

ISBN: 9781369699913Subjects--Topical Terms:

3168407
Hydrologic sciences.

Assessing Fish Passage Success in Culvert Structures with the Development of a Two-Dimensional Algorithm Considering Physical Capabilities of Juvenile Salmonids.
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100 1 $a Jefferies, Alexandra West. $3 3427143
245 1 0 $a Assessing Fish Passage Success in Culvert Structures with the Development of a Two-Dimensional Algorithm Considering Physical Capabilities of Juvenile Salmonids.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 67 p.
500 $a Source: Masters Abstracts International, Volume: 56-03.
500 $a Adviser: Thomas Ravens.
502 $a Thesis (M.S.)--University of Alaska Anchorage, 2017.
520 $a Fish passage through culvert structures requires suitable behavioral and physical conditions for fish. Current practice consists of "stream simulation" design where the stream is replicated throughout the crossing structure; however, space and/or budget constraints do not always allow this practice and require the designer to model hydraulics against fish swimming abilities to assess for barriers. Current models are one-dimensional and can be overly conservative.
520 $a This thesis analyzed stream properties within a culvert structure on Buddy Creek near Talkeetna, Alaska, and utilized this data to develop a two-dimensional algorithm with hydraulic output from River2D, to determine if the depth and velocity throughout the structure were conducive to passage of juvenile salmon. Modeled velocity and water depth from River2D were used and compared to published fish species' characteristics to determine if fish passage through the structure, in two-dimensions, would be successful. Additionally, the commonly used one-dimensional model, FishXing, was run to assess passage and to compare against the algorithm. Passage results from FishXing and the algorithm were compared against actual juvenile salmonid passage data at known flows provided by the Alaska Department of Fish and Game.
520 $a Both one-dimensional and two-dimensional models produced similar results. Based on the outcome, the two-dimensional model does not appear to add much more accuracy, and FishXing appears to fairly accurately take into account occupied velocity of the juvenile fish when using proper velocity reduction factors. Although, FishXing and the two-dimensional algorithm are still fairly conservative and appear to be limited by the studied fish swimming abilities, especially for Chinook and coho salmon.
590 $a School code: 0922.
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Aquatic sciences. $3 3174300
650 4 $a Civil engineering. $3 860360
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710 2 $a University of Alaska Anchorage. $b Civil Engineering. $3 3175728
773 0 $t Masters Abstracts International $g 56-03(E).
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793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10265471