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Interoperability in Environmental Mo...

Lawler, Seth.

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Interoperability in Environmental Modeling: Systems, Data, and Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Interoperability in Environmental Modeling: Systems, Data, and Applications./
作者:	Lawler, Seth.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	177 p.
附註:	Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:	Dissertations Abstracts International86-02B.
標題:	Water resources management. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31240042
ISBN:	9798383619483

Interoperability in Environmental Modeling: Systems, Data, and Applications.
Lawler, Seth.

Interoperability in Environmental Modeling: Systems, Data, and Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 177 p.

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

Thesis (Ph.D.)--George Mason University, 2024.

The state of the science for flood risk management and the state of the practice in flood hazards engineering are in a period of transition. This transition is punctuated by the availability of high-resolution geospatial data and orders of magnitude increase in the resultant digital output as probabilistic and multi-epoch, multi-frequency analyses generate many terabytes of flood risk data. Once the domain of the personal computer, flood modeling activities are increasingly executed on the commercial cloud, leveraging distributed systems and serverless architecture to manage thousands of simultaneous simulations and process derivative products. The increased scale and complexity resulting from these changes presents new challenges in systems and data management. These challenges are exacerbated by the differences in nomenclature, tools, and data formats preferred by the many domain scientists performing environmental modeling in the development of flood hazards analysis. In this dissertation, we investigate and evaluate interoperability in systems for use in cross-domain collaboration. Existing and proposed standards are reviewed, and real-world case studies performed, in partnership with federal and state government agencies to explore challenges and identify solutions for managing large scale flood modeling campaigns in the cloud. Results include new computational frameworks for managing data, metadata, modeling, and analysis. The proposed frameworks and open source tools developed in the early investigations are then used operationally to explore the application of stochastic storm transposition (SST) in cold mountain regions of the western United States unserved by NOAA Altas 14 estimates of precipitation frequency data. This first known application of SST in flood prone areas dominated by snowmelt presents pioneering research and methods for developing frequency-based discharge estimates in a large, highly regulated watershed. Outcomes of this study include methods for capturing aleatory and epistemic uncertainty, and recommendations for future study in this field. Evaluating computational systems through the lens of interoperability, this work offers a domain agnostic vision for enhancing environmental modeling and designing cloud-based frameworks to support flood hazards analysis.

ISBN: 9798383619483Subjects--Topical Terms:

794747
Water resources management.
Subjects--Index Terms:

Stochastic storm transposition

Interoperability in Environmental Modeling: Systems, Data, and Applications.
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