Date of Award:
8-2020
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Civil and Environmental Engineering
Committee Chair(s)
David E. Rosenberg
Committee
David E. Rosenberg
Committee
David G. Tarboton
Committee
Jeffery S. Horsburgh
Committee
Steven J. Burian
Committee
Sarah E. Null
Abstract
Water resources systems models aid in managing water resources holistically considering water, economic, energy, and environmental needs, among others. Developing such models require data that represent a water system’s physical and operational characteristics such as inflows, demands, reservoir storage, and release rules. However, such data is stored and described in different formats, metadata, and terminology. Therefore, Existing tools to store, query, and visualize modeling data are model, location, and dataset-specific, and developing such tools is time-consuming and requires programming experience. This dissertation presents an architecture and three software tools to enable researchers to more readily and consistently prepare and reuse data to develop, compare, and synthesize results from multiple models in a study area: (1) a generalized database design for consistent organization and storage of water resources datasets independent of study area or model, (2) software to extract data out of and populate data for any study area into the Water Evaluation and Planning system, and (3) software tools to visualize online, compare, and publish water management networks and their data for many models and study areas. The software tools are demonstrated using dozens of example and diverse local, regional, and national datasets from three watersheds for four models; the Bear and Weber Rivers in the USA and the Monterrey River in Mexico.
Checksum
2dd0f7a3a7502e1464e462e8c363a8d1
Recommended Citation
Abdallah, Adel Mohammad Kheir, "Advancing Water Resources Systems Modeling Cyberinfrastructure to Enable Systematic Data Analysis, Modeling, and Comparisons" (2020). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 7797.
https://digitalcommons.usu.edu/etd/7797
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