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Advancing Subseasonal-To-Annual Forecast Use in Water Resources Decision Making Under Stationary and Non-Stationary Hydroclimate Regimes- [electronic resource]
Advancing Subseasonal-To-Annual Forecast Use in Water Resources Decision Making Under Stationary and Non-Stationary Hydroclimate Regimes- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100121
- ISBN
- 9798379711979
- DDC
- 628
- 서명/저자
- Advancing Subseasonal-To-Annual Forecast Use in Water Resources Decision Making Under Stationary and Non-Stationary Hydroclimate Regimes - [electronic resource]
- 발행사항
- [S.l.]: : Cornell University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(232 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- 주기사항
- Advisor: Steinschneider, Scott.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Forecasts have emerged as a key strategy to support the dynamic management of water resources. Effective dynamic management is expected to only increase in importance as water systems experience increased stress under climate variability and climate change. Despite advancements in short-range weather and long-range climate forecasts, there persists a gap between the theoretical value of forecasts to inform water resources management decisions and the actual utilization of forecast information by water managers. This dissertation focuses on the real-world application of forecast information in water resources, specifically in flood risk management and many-objective water reservoir management, to explore the relationship between forecast value and a variety of technological, operational, and social barriers that complicate the utility of forecast information. This work is highly motivated and guided by regional stakeholder needs. Each project is developed with end-user needs in mind, and findings and deliverables are designed to be utilized by water managers in their decision-making processes.
- 키워드
- Forecast
- 키워드
- Uncertainty
- 키워드
- Water resources
- 키워드
- Water systems
- 키워드
- Water managers
- 기타저자
- Cornell University Biological and Environmental Engineering
- 기본자료저록
- Dissertations Abstracts International. 84-12B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214100121
■006m o d
■007cr#unu||||||||
■020 ▼a9798379711979
■035 ▼a(MiAaPQ)AAI30424061
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a628
■1001 ▼aSemmendinger, Kyla.▼0(orcid)0000-0002-0976-0140
■24510▼aAdvancing Subseasonal-To-Annual Forecast Use in Water Resources Decision Making Under Stationary and Non-Stationary Hydroclimate Regimes▼h[electronic resource]
■260 ▼a[S.l.]:▼bCornell University. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(232 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-12, Section: B.
■500 ▼aAdvisor: Steinschneider, Scott.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aForecasts have emerged as a key strategy to support the dynamic management of water resources. Effective dynamic management is expected to only increase in importance as water systems experience increased stress under climate variability and climate change. Despite advancements in short-range weather and long-range climate forecasts, there persists a gap between the theoretical value of forecasts to inform water resources management decisions and the actual utilization of forecast information by water managers. This dissertation focuses on the real-world application of forecast information in water resources, specifically in flood risk management and many-objective water reservoir management, to explore the relationship between forecast value and a variety of technological, operational, and social barriers that complicate the utility of forecast information. This work is highly motivated and guided by regional stakeholder needs. Each project is developed with end-user needs in mind, and findings and deliverables are designed to be utilized by water managers in their decision-making processes.
■590 ▼aSchool code: 0058.
■650 4▼aEnvironmental engineering.
■650 4▼aWater resources management.
■650 4▼aNatural resource management.
■653 ▼aForecast
■653 ▼aUncertainty
■653 ▼aWater resources
■653 ▼aWater systems
■653 ▼aDynamic management
■653 ▼aWater managers
■690 ▼a0775
■690 ▼a0595
■690 ▼a0528
■71020▼aCornell University▼bBiological and Environmental Engineering.
■7730 ▼tDissertations Abstracts International▼g84-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931808▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
