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Title: Quantifying Hydraulic and Water Quality Uncertainty to Inform Sampling of Drinking Water Distribution Systems

Abstract

Sampling of drinking water distribution systems is performed to ensure good water quality and protect public health. Sampling also satisfies regulatory requirements and is done to respond to customer complaints or emergency situations. Water distribution system modeling techniques can be used to plan and inform sampling strategies. However, a high degree of accuracy and confidence in the hydraulic and water quality models is required to support real-time response. One source of error in these models is related to uncertainty in model input parameters. Effective characterization of these uncertainties and their effect on contaminant transport during a contamination incident is critical for providing confidence estimates in model-based design and evaluation of different sampling strategies. In this paper, the effects of uncertainty in customer demand, isolation valve status, bulk reaction rate coefficient, contaminant injection location, start time, duration, and rate on the size and location of the contaminant plume are quantified for two example water distribution systems. Results show that the most important parameter was the injection location. The size of the plume was also affected by the reaction rate coefficient, injection rate, and injection duration, whereas the exact location of the plume was additionally affected by the isolation valve status. Asmore » a result, uncertainty quantification provides a more complete picture of how contaminants move within a water distribution system and more information when using modeling results to select sampling locations.« less

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5];  [3];  [1];  [3]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Purdue Univ., West Lafayette, IN (United States)
  3. U.S. Environmental Protection Agency, Cincinnati, OH (United States)
  4. New Mexico Institute of Mining and Technology, Socorro, NM (United States)
  5. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Purdue Univ., West Lafayette, IN (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USEPA; USDOE
OSTI Identifier:
1487425
Report Number(s):
SAND-2018-7632J
Journal ID: ISSN 0733-9496; 665800
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Water Resources Planning and Management
Additional Journal Information:
Journal Volume: 145; Journal Issue: 1; Journal ID: ISSN 0733-9496
Publisher:
American Society of Civil Engineers (ASCE)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Hart, David, Rodriguez, J. Santiago, Burkhardt, Jonathan, Borchers, Brian, Laird, Carl, Murray, Regan, Klise, Katherine, and Haxton, Terranna. Quantifying Hydraulic and Water Quality Uncertainty to Inform Sampling of Drinking Water Distribution Systems. United States: N. p., 2019. Web. doi:10.1061/(ASCE)WR.1943-5452.0001005.
Hart, David, Rodriguez, J. Santiago, Burkhardt, Jonathan, Borchers, Brian, Laird, Carl, Murray, Regan, Klise, Katherine, & Haxton, Terranna. Quantifying Hydraulic and Water Quality Uncertainty to Inform Sampling of Drinking Water Distribution Systems. United States. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001005
Hart, David, Rodriguez, J. Santiago, Burkhardt, Jonathan, Borchers, Brian, Laird, Carl, Murray, Regan, Klise, Katherine, and Haxton, Terranna. Tue . "Quantifying Hydraulic and Water Quality Uncertainty to Inform Sampling of Drinking Water Distribution Systems". United States. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001005. https://www.osti.gov/servlets/purl/1487425.
@article{osti_1487425,
title = {Quantifying Hydraulic and Water Quality Uncertainty to Inform Sampling of Drinking Water Distribution Systems},
author = {Hart, David and Rodriguez, J. Santiago and Burkhardt, Jonathan and Borchers, Brian and Laird, Carl and Murray, Regan and Klise, Katherine and Haxton, Terranna},
abstractNote = {Sampling of drinking water distribution systems is performed to ensure good water quality and protect public health. Sampling also satisfies regulatory requirements and is done to respond to customer complaints or emergency situations. Water distribution system modeling techniques can be used to plan and inform sampling strategies. However, a high degree of accuracy and confidence in the hydraulic and water quality models is required to support real-time response. One source of error in these models is related to uncertainty in model input parameters. Effective characterization of these uncertainties and their effect on contaminant transport during a contamination incident is critical for providing confidence estimates in model-based design and evaluation of different sampling strategies. In this paper, the effects of uncertainty in customer demand, isolation valve status, bulk reaction rate coefficient, contaminant injection location, start time, duration, and rate on the size and location of the contaminant plume are quantified for two example water distribution systems. Results show that the most important parameter was the injection location. The size of the plume was also affected by the reaction rate coefficient, injection rate, and injection duration, whereas the exact location of the plume was additionally affected by the isolation valve status. As a result, uncertainty quantification provides a more complete picture of how contaminants move within a water distribution system and more information when using modeling results to select sampling locations.},
doi = {10.1061/(ASCE)WR.1943-5452.0001005},
journal = {Journal of Water Resources Planning and Management},
number = 1,
volume = 145,
place = {United States},
year = {2019},
month = {1}
}

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