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Cited by 192Water Systems and OptimizationWater resources management and optimizationHydrology and Watershed Management Studies

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Battle of the Water Calibration Networks

Ostfeld, Avi, Salomons, Elad, Ormsbee, Lindell, Uber, James G., Bros, Christopher M., Kalungi, Paul, Burd, Richard, Zazula-Coetzee, Boguslawa, Belrain, Teddy, Kang, Doosun, Lansey, Kevin, Shen, Hailiang, McBean, Edward, Yi Wu, Zheng, Walski, Tom, Alvisi, Stefano, Franchini, Marco, Johnson, Joshua P., Ghimire, Santosh R., Barkdoll, Brian D., Koppel, Tiit, Vassiljev, Anatoli, Kim, Joong Hoon, Chung, Gunhui, Yoo, Do Guen, Diao, Kegong, Zhou, Yuwen, Li, Ji, Liu, Zilong, Chang, Kui, Gao, Jinliang, Qu, Shaojian, Yuan, Yixing, Prasad, T. Devi, Laucelli, Daniele, Vamvakeridou Lyroudia, Lydia S., Kapelan, Zoran, Savic, Dragan, Berardi, Luigi, Barbaro, Giuseppe, Giustolisi, Orazio, Asadzadeh, Masoud, Tolson, Bryan A., McKillop, Robert·2012·Journal of Water Resources Planning and Management
DOI 10.1061/(asce)wr.1943-5452.0000191
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Abstract

Calibration is a process of comparing model results with field data and making the appropriate adjustments so that both results agree. Calibration methods can involve formal optimization methods or manual methods in which the modeler informally examines alternative model parameters. The development of a calibration framework typically involves the following: (1) definition of the model variables, coefficients, and equations; (2) selection of an objective function to measure the quality of the calibration; (3) selection of the set of data to be used for the calibration process; and (4) selection of an optimization/manual scheme for altering the coefficient values in the direction of reducing the objective function. Hydraulic calibration usually involves the modification of system demands, fine-tuning the roughness values of pipes, altering pump operation characteristics, and adjusting other model attributes that affect simulation results, in particular those that have significant uncertainty associated with their values. From the previous steps, it is clear that model calibration is neither unique nor a straightforward technical task. The success of a calibration process depends on the modeler’s experience and intuition, as well as on the mathematical model and procedures adopted for the calibration process. This paper provides a summary of the Battle of the Water Calibration Networks (BWCN), the goal of which was to objectively compare the solutions of different approaches to the calibration of water distribution systems through application to a real water distribution system. Fourteen teams from academia, water utilities, and private consultants participated. The BWCN outcomes were presented and assessed at the 12th Water Distribution Systems Analysis conference in Tucson, Arizona, in September 2010. This manuscript summarizes the BWCN exercise and suggests future research directions for the calibration of water distribution systems.

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Crossref · 10.1061/(asce)wr.1943-5452.0000191

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Citations

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Research works printed but not linked: 2

  1. Diao K. Zhou Y. Li J. and Liu Z. (2010). “A component status changes oriented calibration method for zonal management water distribution networks.” Proc. 12th Water Distribution Systems Analysis Symp. Lansey K. Choi C. Ostfeld A. and Pepper I. eds. ASCE Reston VA.
  2. Ulanicki B. Zehnpfund A. and Martinez F. (1996). “Simplification of water distribution network models.” Proc. 2nd Int. Conf. on Hydroinformatics International Water Association Zurich Switzerland 493–500.

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Metadata

Authors
Ostfeld, A., Salomons, E., Ormsbee, L., Uber, J. G., Bros, C. M., Kalungi, P., Burd, R., Zazula-Coetzee, B., Belrain, T., Kang, D., Lansey, K., Shen, H., McBean, E., Yi Wu, Z., Walski, T., Alvisi, S., Franchini, M., Johnson, J. P., Ghimire, S. R., Barkdoll, B. D., Koppel, T., Vassiljev, A., Kim, J. H., Chung, G., Yoo, D. G., Diao, K., Zhou, Y., Li, J., Liu, Z., Chang, K., Gao, J., Qu, S., Yuan, Y., Prasad, T. D., Laucelli, D., Vamvakeridou Lyroudia, L. S., Kapelan, Z., Savic, D., Berardi, L., Barbaro, G., Giustolisi, O., Asadzadeh, M., Tolson, B. A., & McKillop, R.
Affiliations
  • Technion – Israel Institute of Technology (IL)
  • OptiWater, 6 Amikam Israel St., Haifa 34385, Israel.
  • University of Kentucky (US)
  • University of Cincinnati (US)
  • MWH (United Kingdom) (GB)
  • Veolia (United Kingdom) (GB)
  • University of Arizona (US)
  • University of Guelph (CA)
  • Bentley Systems, Inc., 27 Siemon Company Dr., Suite 200W, Watertown, CT 06795.
  • University of Ferrara (IT)
  • Michigan Technological University (US)
  • University of Georgia (US)
  • Tallinn University of Technology (EE)
  • Korea University (KR)
  • Korea Institute of Civil Engineering and Building Technology (KR)
  • Beijing University of Technology (CN)
  • Harbin Institute of Technology (CN)
  • University of Salford (GB)
  • Polytechnic University of Bari (IT)
  • Univ. of Exeter, Centre for Water Systems, Exeter, UK.
  • University of Exeter (GB)
  • University of Reggio Calabria (IT)
  • University of Waterloo (CA)
Corresponding author
Ostfeld, Avi
ORCID
Venue
Journal of Water Resources Planning and Management
Publisher
American Society of Civil Engineers (ASCE)
Published
2012-09
Volume
138
Issue
5
Pages
523-532
ISSN
  • 0733-9496 (ISSN-L)
  • 1943-5452
DOI
10.1061/(asce)wr.1943-5452.0000191
OpenAlex
W2092677285
Cited by
192
References
36
Citations by year
2026: 10 · 2025: 14 · 2024: 11 · 2023: 18 · 2022: 21 · 2021: 18 · 2020: 19 · 2019: 19 · 2018: 10 · 2017: 11 · 2016: 8 · 2015: 10 · 2014: 15 · 2013: 5 · 2012: 1
FWCI
21.23
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Water Resources Planning and Management (publishedVersion)
  • DMU Open Research Archive (De Montfort University) (submittedVersion)
  • Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Water Systems and Optimization
  • Physical Sciences › Environmental Science › Water Science and Technology › Water resources management and optimization
  • Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
Keywords
model calibration, water distribution systems, hydraulic calibration, objective function, pipe roughness, water utilities

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