자료유형  

 학위논문

Control Number  

0017161636

International Standard Book Number  

9798382810171

Dewey Decimal Classification Number  

551

Main Entry-Personal Name  

Tijerina, Danielle.

Publication, Distribution, etc. (Imprint  

[S.l.] : Princeton University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

191 p.

General Note  

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

General Note  

Advisor: Maxwell, Reed M.

Dissertation Note  

Thesis (Ph.D.)--Princeton University, 2024.

Summary, Etc.  

요약Integrated, physics-based hydrologic models are valuable tools for better understanding large-scale hydrologic processes. These models, which represent subsurface, surface, and energy budget components at high resolutions, can facilitate scientific inquiry of the complex interactions within large-scale hydrologic systems. Integrated models have been increasingly applied at large scales to understand complex hydrologic processes, with applications ranging from climate induced changes in water balance partitioning to operational flood forecasting. This dissertation explores the multifaceted steps involved in driving model progress and development to enable the use of large-scale hydrologic models for water resources applications.The research presented in this dissertation outlines key steps necessary for the advancement of physics-based, large-scale hydrologic modeling, including model evaluation and intercomparison techniques to comprehensively assess model performance and biases. It further discusses strategies to improve model inputs and enhance the representation of subsurface processes in large-scale hydrologic models, critical for refining the predictive capabilities of large-scale hydrologic simulations. Finally, it explores the practical application of these models in studying groundwater depletion, offering a novel methodology for locally relevant, long-term depletion estimates. This work provides valuable insights into the future of sustainable management of vital water resources. Through a comprehensive examination of these aspects of hydrologic modeling at continental scales, this dissertation contributes to the advancement of large-scale hydrologic modeling, offering a foundation for informed decision-making in sustainable water resource management efforts.

Subject Added Entry-Topical Term  

Hydrologic sciences.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Environmental engineering.

Index Term-Uncontrolled  

Groundwater depletion

Index Term-Uncontrolled  

Hydrologic modeling

Index Term-Uncontrolled  

Integrated hydrology

Index Term-Uncontrolled  

Large-scale modeling

Index Term-Uncontrolled  

Surface water

Added Entry-Corporate Name  

Princeton University Civil and Environmental Engineering

Host Item Entry  

Dissertations Abstracts International. 85-12B.

Electronic Location and Access  

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Control Number  

joongbu:654997