東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling and Assessing the Sustainab...

Song, Cuihong.

Linked to FindBook

Google Book

Amazon

博客來

Modeling and Assessing the Sustainability of Dams in the United States.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and Assessing the Sustainability of Dams in the United States./
Author:	Song, Cuihong.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	201 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
Contained By:	Dissertations Abstracts International82-01B.
Subject:	Environmental engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27838174
ISBN:	9798662382121

Modeling and Assessing the Sustainability of Dams in the United States.
Song, Cuihong.

Modeling and Assessing the Sustainability of Dams in the United States. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 201 p.

Source: Dissertations Abstracts International, Volume: 82-01, Section: B.

Thesis (Ph.D.)--University of New Hampshire, 2020.

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

Dam decision-making is often controversial as a choice has to be made between the benefits provided by dams (e.g., recreation, water supply, hydropower) and their potential negative impacts (e.g., effects on natural flow regime, impediment for fish migration). However, our understandings of such tradeoffs under a full range of dam management alternatives remain limited which hinders our ability to make sound and scientifically defensible dam management decisions. The diverse stakeholders involved in the decision-making process with varying perspectives and preferences could further exacerbate the difficulty of decision-making. To advance our knowledge in sustainable dam decision-making, this dissertation developed modeling tools to evaluate dam decisions based on greenhouse gas (GHG) emissions, hydropower generation, sea-run fish population, and management cost from both spatial and temporal perspectives. The developed model was further applied in role-paly simulation workshops to investigate the potential differences between scientifically optimized decisions and the negotiated consensus. The results revealed that although most hydroelectric dams have comparable GHG emissions to other types of renewable energy (e.g., solar, wind energy), electricity produced from tropical reservoir-based dams could potentially have a higher emission rate than fossil-based electricity. It is possible to simultaneously optimize energy, fish, and cost outcomes through strategic dam management actions. Basin-scale management strategies may outperform individual dam management strategies because the former can provide a broader set of solutions for balancing complex tradeoffs than the latter. Furthermore, diversification of management options (e.g., combination of fishway installations, dam removals, and generation capacity) may have the highest potential in balancing fish-energy-cost tradeoffs. Finally, dam management negotiation is helpful in facilitating decisions with more balanced outcomes but not necessary reflect the environmentally optimal outcomes.

ISBN: 9798662382121Subjects--Topical Terms:

548583
Environmental engineering.
Subjects--Index Terms:

Dam management

Modeling and Assessing the Sustainability of Dams in the United States.
LDR:03304nmm a2200385 4500 001 2278532
005 20210628082342.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798662382121
035 $a (MiAaPQ)AAI27838174
035 $a AAI27838174
040 $a MiAaPQ $c MiAaPQ
100 1 $a Song, Cuihong. $0 (orcid)0000-0003-0408-3539 $3 3556911
245 1 0 $a Modeling and Assessing the Sustainability of Dams in the United States.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 201 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
500 $a Advisor: Mo, Weiwei.
502 $a Thesis (Ph.D.)--University of New Hampshire, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Dam decision-making is often controversial as a choice has to be made between the benefits provided by dams (e.g., recreation, water supply, hydropower) and their potential negative impacts (e.g., effects on natural flow regime, impediment for fish migration). However, our understandings of such tradeoffs under a full range of dam management alternatives remain limited which hinders our ability to make sound and scientifically defensible dam management decisions. The diverse stakeholders involved in the decision-making process with varying perspectives and preferences could further exacerbate the difficulty of decision-making. To advance our knowledge in sustainable dam decision-making, this dissertation developed modeling tools to evaluate dam decisions based on greenhouse gas (GHG) emissions, hydropower generation, sea-run fish population, and management cost from both spatial and temporal perspectives. The developed model was further applied in role-paly simulation workshops to investigate the potential differences between scientifically optimized decisions and the negotiated consensus. The results revealed that although most hydroelectric dams have comparable GHG emissions to other types of renewable energy (e.g., solar, wind energy), electricity produced from tropical reservoir-based dams could potentially have a higher emission rate than fossil-based electricity. It is possible to simultaneously optimize energy, fish, and cost outcomes through strategic dam management actions. Basin-scale management strategies may outperform individual dam management strategies because the former can provide a broader set of solutions for balancing complex tradeoffs than the latter. Furthermore, diversification of management options (e.g., combination of fishway installations, dam removals, and generation capacity) may have the highest potential in balancing fish-energy-cost tradeoffs. Finally, dam management negotiation is helpful in facilitating decisions with more balanced outcomes but not necessary reflect the environmentally optimal outcomes.
590 $a School code: 0141.
650 4 $a Environmental engineering. $3 548583
650 4 $a Water resources management. $3 794747
650 4 $a Wildlife conservation. $2 fast $3 542165
653 $a Dam management
653 $a Fish-energy-cost tradeoffs
653 $a Hydropower generation
653 $a Multi-objective optimization
653 $a Sea-run fish population
653 $a System dynamics modeling
690 $a 0775
690 $a 0595
690 $a 0284
710 2 $a University of New Hampshire. $b Civil Engineering. $3 2094650
773 0 $t Dissertations Abstracts International $g 82-01B.
790 $a 0141
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27838174