東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Automated Analysis of River Habitat ...

Larrieu, Kenneth Gregory.

FindBook

Google Book

Amazon

博客來

Automated Analysis of River Habitat Connectivity and Fish Stranding Risks.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Automated Analysis of River Habitat Connectivity and Fish Stranding Risks./
作者:	Larrieu, Kenneth Gregory.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	81 p.
附註:	Source: Masters Abstracts International, Volume: 82-05.
Contained By:	Masters Abstracts International82-05.
標題:	Hydrologic sciences. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28092156
ISBN:	9798691214103

Automated Analysis of River Habitat Connectivity and Fish Stranding Risks.
Larrieu, Kenneth Gregory.

Automated Analysis of River Habitat Connectivity and Fish Stranding Risks. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 81 p.

Source: Masters Abstracts International, Volume: 82-05.

Thesis (M.S.)--University of California, Davis, 2020.

This item must not be sold to any third party vendors.

Fish stranding in highly degraded, regulated rivers is of significant concern to river management due to its potentially devastating impacts on fish populations already at risk. Because stranding is dependent on a wide range of biotic and abiotic factors, it is difficult to accurately identify and parameterize fish stranding risks for various river topographies, fish species/lifestages, and flow ramping scenarios. This study sought to determine whether steady-state two-dimensional (2D) hydrodynamic models can be used to accurately characterize stranding risks for juvenile Chinook salmon in a regulated river. Novel algorithms were developed for post-processing of 2D hydrodynamic numerical model results that explicitly identify locations and discharges where stranding is expected to be more likely to occur. These predictions were validated against field observations of flow reductions and stranding events. Comparison of modeling results and field observations found strong quantitative agreement in identification of relevant discharges, and qualitative agreement in identification of relative stranding severity. This methodology was extended to alternative river topographies to assess the sensitivity of stranding risks to changes in river morphology. Lastly, implications for river management practices and river rehabilitation project design are discussed.

ISBN: 9798691214103Subjects--Topical Terms:

3168407
Hydrologic sciences.
Subjects--Index Terms:

Ecohydraulics

Automated Analysis of River Habitat Connectivity and Fish Stranding Risks.
LDR:02498nmm a2200361 4500 001 2279756
005 20210823083436.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798691214103
035 $a (MiAaPQ)AAI28092156
035 $a AAI28092156
040 $a MiAaPQ $c MiAaPQ
100 1 $a Larrieu, Kenneth Gregory. $3 3558229
245 1 0 $a Automated Analysis of River Habitat Connectivity and Fish Stranding Risks.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 81 p.
500 $a Source: Masters Abstracts International, Volume: 82-05.
500 $a Advisor: Pasternack, Gregory B.
502 $a Thesis (M.S.)--University of California, Davis, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Fish stranding in highly degraded, regulated rivers is of significant concern to river management due to its potentially devastating impacts on fish populations already at risk. Because stranding is dependent on a wide range of biotic and abiotic factors, it is difficult to accurately identify and parameterize fish stranding risks for various river topographies, fish species/lifestages, and flow ramping scenarios. This study sought to determine whether steady-state two-dimensional (2D) hydrodynamic models can be used to accurately characterize stranding risks for juvenile Chinook salmon in a regulated river. Novel algorithms were developed for post-processing of 2D hydrodynamic numerical model results that explicitly identify locations and discharges where stranding is expected to be more likely to occur. These predictions were validated against field observations of flow reductions and stranding events. Comparison of modeling results and field observations found strong quantitative agreement in identification of relevant discharges, and qualitative agreement in identification of relative stranding severity. This methodology was extended to alternative river topographies to assess the sensitivity of stranding risks to changes in river morphology. Lastly, implications for river management practices and river rehabilitation project design are discussed.
590 $a School code: 0029.
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Aquatic sciences. $3 3174300
653 $a Ecohydraulics
653 $a Fish stranding
653 $a Hydrodynamic modeling
653 $a Hydropeaking
653 $a River restoration
690 $a 0388
690 $a 0792
710 2 $a University of California, Davis. $b Hydrologic Sciences. $3 1672932
773 0 $t Masters Abstracts International $g 82-05.
790 $a 0029
791 $a M.S.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28092156