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Navigating Large-Scale Hydrology: Ad...
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Tijerina, Danielle.
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Navigating Large-Scale Hydrology: Advancements in Model Development, Evaluation, and Application.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Navigating Large-Scale Hydrology: Advancements in Model Development, Evaluation, and Application./
作者:
Tijerina, Danielle.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:
191 p.
附註:
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:
Dissertations Abstracts International85-12B.
標題:
Hydrologic sciences. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31294523
ISBN:
9798382810171
Navigating Large-Scale Hydrology: Advancements in Model Development, Evaluation, and Application.
Tijerina, Danielle.
Navigating Large-Scale Hydrology: Advancements in Model Development, Evaluation, and Application.
- Ann Arbor : ProQuest Dissertations & Theses, 2024 - 191 p.
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Thesis (Ph.D.)--Princeton University, 2024.
Integrated, 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.
ISBN: 9798382810171Subjects--Topical Terms:
3168407
Hydrologic sciences.
Subjects--Index Terms:
Groundwater depletion
Navigating Large-Scale Hydrology: Advancements in Model Development, Evaluation, and Application.
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Integrated, 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.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31294523
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