國立虎尾科技大學 |

Navigating Large-Scale Hydrology : = Advancements in Model Development, Evaluation, and Application.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Navigating Large-Scale Hydrology :/
其他題名:	Advancements in Model Development, Evaluation, and Application.
作者:	Tijerina, Danielle.
面頁冊數:	1 online resource (191 pages)
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:	click for full text (PQDT)
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. - 1 online resource (191 pages)

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

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

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382810171Subjects--Topical Terms:

1179176
Hydrologic sciences.
Subjects--Index Terms:

Groundwater depletionIndex Terms--Genre/Form:

554714
Electronic books.

Navigating Large-Scale Hydrology : = Advancements in Model Development, Evaluation, and Application.
LDR:03228ntm a22004097 4500 001 1151277
005 20241104055845.5
006 m o d
007 cr bn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382810171
035 $a (MiAaPQ)AAI31294523
035 $a AAI31294523
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Tijerina, Danielle. $3 1478011
245 1 0 $a Navigating Large-Scale Hydrology : $b Advancements in Model Development, Evaluation, and Application.
264 0 $c 2024
300 $a 1 online resource (191 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
500 $a Advisor: Maxwell, Reed M.
502 $a Thesis (Ph.D.)--Princeton University, 2024.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Hydrologic sciences. $3 1179176
650 4 $a Computer science. $3 573171
650 4 $a Environmental engineering. $3 557376
653 $a Groundwater depletion
653 $a Hydrologic modeling
653 $a Integrated hydrology
653 $a Large-scale modeling
653 $a Surface water
655 7 $a Electronic books. $2 local $3 554714
690 $a 0388
690 $a 0984
690 $a 0775
690 $a 0543
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Princeton University. $b Civil and Environmental Engineering. $3 1179795
773 0 $t Dissertations Abstracts International $g 85-12B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31294523 $z click for full text (PQDT)