Abstract

Hydraulic models can provide efficient and cost-effective ways for water utilities to evaluate changes in operating conditions (e.g., population dynamics, disasters), thereby increasing system resiliency during crises. Unfortunately, model development remains out of reach for many utilities because of high software costs, data needs, or personnel requirements. This study seeks to classify hydraulic modeling data needs, identify success factors and challenges associated with model development, and determine whether modeling a subzone of a larger water distribution network can provide useful insights during a crisis, specifically the COVID-19 pandemic. At the pandemic onset, we began developing a hydraulic model of the water distribution system of the University of Texas at Austin campus—a subsystem of the water distribution network of Austin, Texas—to understand how spatiotemporal changes in water demands impacted system performance. We found that the completed model can offer useful insight into the impacts of demand changes within the modeled subsystem (e.g., potential locations of water stagnation). However, the data collection and processing challenges encountered (e.g., siloed collection efforts, lack of standardization, lengthy processing) reflect barriers to model development and use. The amount of time required to gather and process the necessary data shows that model development cannot occur during a time-sensitive crisis, likely rendering any insight too late for use. Here, we make recommendations to address data-related challenges and support utilities in incorporating hydraulic modeling into emergency planning.

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Acknowledgments

This work was supported by the National Science Foundation under Grant Nos. 2032434/2032429 and DGE-1610403 with data and assistance provided by the University of Texas at Austin Utilities and Energy Management. The manuscript was written through contributions of all authors, as follows: Conceptualization and design: H. R. T., L. A. S., L. S., and K. F.; Analysis: H. R. T.; Analysis validation: H. R. T., L. A. S., L. S., and K. F.; Writing—original draft: H. R. T.; Writing—review and editing: all authors; Supervision: L. S. and K. F. All authors have given approval to the final version of the manuscript.

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Journal of Water Resources Planning and Management
Volume 148Issue 6June 2022

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Received: Jul 9, 2021
Accepted: Feb 5, 2022
Published online: Mar 24, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 24, 2022

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Helena R. Tiedmann, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78712. Email: [email protected]
Lauryn A. Spearing, Ph.D., A.M.ASCE https://orcid.org/0000-0001-5459-5909 [email protected]
Postdoctoral Researcher, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78712. ORCID: https://orcid.org/0000-0001-5459-5909. Email: [email protected]
Assistant Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78712. ORCID: https://orcid.org/0000-0002-5834-8451. Email: [email protected]
Kerry Kinney, Ph.D. [email protected]
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78712. Email: [email protected]
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78712. ORCID: https://orcid.org/0000-0001-8693-2201. Email: [email protected]
Lynn E. Katz, Ph.D. [email protected]
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78712. Email: [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, 3760 E. Stevens Way NE, Seattle, WA 98195. ORCID: https://orcid.org/0000-0002-1340-7913. Email: [email protected]
Assistant Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78712 (corresponding author). ORCID: https://orcid.org/0000-0001-7986-4757. Email: [email protected]

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