Technical Papers
Apr 28, 2021

Sampling Design of Hydraulic and Quality Model Calibration Based on a Global Sensitivity Analysis Method

Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 7

Abstract

Most sampling design (SD) methods in water distribution networks are focused on the calibration of a hydraulic model and use local sensitivity analysis and demand-driven simulation methods to select sampling points. These SD methods have little adaptability for water quality models separately or with hydraulic models. In this paper, which presents a new approach, the Sobol method is used for sensitivity analysis. Then optimal points are selected based on sensitivity and cost criteria. It is possible to apply this method in a joint SD of hydraulic and quality models. This method is applied and verified in a case study. The effect of the head-driven simulation method (HDSM) and different parameters on SD are also evaluated. The results indicate that the Sobol method and HDSM cause a significant shift in the priority of some selected points. In addition, the proposed method for the joint SD of hydraulic and quality models has a suitable capability.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request. The Anytown network data are publicly available. The data used can be provided upon request. EPANET Programmers toolkit (USEPA 2008), Sobol method by safe toolbox (Pianosi et al. 2015), and MI-NSGA-II algorithm were run using MATLAB R2014a.

References

Askari, M., J. Li, and B. Samali. 2017. “Cost-effective multi-objective optimal positioning of magnetorheological dampers and active actuators in large nonlinear structures.” J. Intell. Mater. Syst. Struct. 28 (2): 230–253. https://doi.org/10.1177/1045389X16649449.
Bush, C. A., and J. G. Uber. 1998. “Sampling design methods for water distribution model calibration.” J. Water Resour. Plann. Manage. 124 (6): 334–344. https://doi.org/10.1061/(ASCE)0733-9496(1998)124:6(334).
De Schaetzen, W. B. F., G. A. Walters, and D. A. Savic. 2000. “Optimal sampling design for model calibration using shortest path, genetic and entropy algorithms.” Urban Water J. 2 (2): 141–152. https://doi.org/10.1016/S1462-0758(00)00052-2.
Fiorini Morosini, A., F. Costanzo, P. Veltri, and D. Savic. 2014. “Identification of measurement points for calibration of water distribution network models.” Procedia Eng. 89: 693–701. https://doi.org/10.1016/j.proeng.2014.11.496.
Homma, T., and A. Saltelli. 1996. “Importance measures in global sensitivity analysis of nonlinear models.” Reliab. Eng. Syst. Saf. 52 (1): 1–17. https://doi.org/10.1016/0951-8320(96)00002-6.
Iooss, B., and P. Lemaître. 2015. “A review on global sensitivity analysis methods.” In Uncertainty management in simulation-optimization of complex systems, 101–122. Boston: Springer.
Kapelan, Z. 2002. “Calibration of water distribution system hydraulic models.” Ph.D. dissertation, School of Engineering and Computer Science, Univ. of Exeter.
Kapelan, Z. S., D. A. Savic, and G. A. Walters. 2003. “Multiobjective sampling design for water distribution model calibration.” J. Water Resour. Plann. Manage. 129 (6): 466–479. https://doi.org/10.1061/(ASCE)0733-9496(2003)129:6(466).
Liggett, J. A., and L. C. Chen. 1994. “Inverse transient analysis in pipe networks.” Hydraul. Eng. 120 (8): 934–955. https://doi.org/10.1061/(ASCE)0733-9429(1994)120:8(934).
Ormsbee, L. E. 1989. “Implicit network calibration.” J. Water Resour. Plann. Manage. 115 (2): 243–257. https://doi.org/10.1061/(ASCE)0733-9496(1989)115:2(243).
Pianosi, F., F. Sarrazin, and T. Wagener. 2015. “A Matlab toolbox for global sensitivity analysis.” Environ. Modell. Software 70: 80–85. https://doi.org/10.1016/j.envsoft.2015.04.009.
Rossman, L. 2000. EPANET 2 users manual. Washington, DC: USEPA.
Saltelli, A., K. Aleksankina, W. Becker, P. Fennell, F. Ferretti, N. Holst, S. Li, and Q. Wu. 2019. “Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices.” Environ. Modell. Software 114: 29–39. https://doi.org/10.1016/j.envsoft.2019.01.012.
Sanz, G., and R. Pérez. 2015. “Sensitivity analysis for sampling design and demand calibration in water distribution networks using the singular value decomposition.” J. Water Resour. Plann. Manage. 141 (10): 04015020. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000535.
Shao, Y., S. Chu, T. Zhang, Y. J. Yang, and T. Yu. 2019. “A greedy sampling design algorithm for the modal calibration of nodal demand in water distribution systems.” Math. Probl. Eng. 2019: 3917571. https://doi.org/10.1155/2019/3917571.
Song, X., J. Zhang, C. Zhan, Y. Xuan, M. Ye, and C. Xu. 2015. “Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications.” J. Hydrol. 523 (Dec): 739–757. https://doi.org/10.1016/j.jhydrol.2015.02.013.
Soroush, F., and M. J. Abedini. 2019. “Optimal selection of number and location of pressure sensors in water distribution systems using geostatistical tools coupled with genetic algorithm.” J. Hydroinf. 21 (6): 1030–1047. https://doi.org/10.2166/hydro.2019.023.
Tabesh, M. 1998. “Implications of the pressure dependency of outflows on data management, mathematical modeling and reliability assessment of water distribution systems.” Ph.D. thesis, Dept. of Civil Engineering, Univ. of Liverpool.
Tabesh, M., A. Shirzad, V. Arefkhani, and A. Mani. 2014. “A comparative study between the modified and available demand driven based models for head driven analysis of water distribution networks.” Urban Water J. 11 (3): 221–230. https://doi.org/10.1080/1573062X.2013.783084.
Tang, T., P. Reed, T. Wagener, and K. Van Werkhoven. 2006. “Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation.” Hydrol. Earth Syst. Sci. Discuss. 3 (6): 3333–3395. https://doi.org/10.5194/hess-11-793-2007.
Tang, Y., P. Reed, K. Van Werkhoven, and T. Wagener. 2007. “Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis.” Water Resour. Res. 43 (6): W06415. https://doi.org/10.1029/2006WR005813.
USEPA. 2008. “EPANET.” Accessed December 1, 2018. https://www.epa.gov/water-research/epanet.
Wagner, J. M., U. Shamir, and D. H. Marks. 1988. “Water distribution reliability: Simulation methods.” J. Water Resour. Plann. Manage. 114 (3): 276–294. https://doi.org/10.1061/(ASCE)0733-9496(1988)114:3(276).
Walski, T. M. 1985. “Assuring accurate model calibration.” J. Am. Water Works Assn. 77 (12): 38–41. https://doi.org/10.1002/j.1551-8833.1985.tb05655.x.
Wu, Z. Y., and E. Roshani. 2014. “Sensor placement optimization for water quality model calibration.” In Proc., World Environmental and Water Resources Congress 2014. Reston, VA: ASCE. https://doi.org/10.1061/9780784413548.
Xie, X., B. Zeng, and M. Nachabe. 2015. “Sampling design for water distribution network chlorine decay calibration.” Urban Water J. 12 (3): 190–199. https://doi.org/10.1080/1573062X.2013.831911.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 7July 2021

History

Received: Feb 21, 2020
Accepted: Jan 14, 2021
Published online: Apr 28, 2021
Published in print: Jul 1, 2021
Discussion open until: Sep 28, 2021

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Authors

Affiliations

Vahid Abbasi Moghaddam
M.Sc. Graduate, School of Civil Engineering, College of Engineering, Univ. of Tehran, Enghelab Ave., P.O. Box 11155-4563, Tehran 1417613131, Iran.
Professor, School of Civil Engineering, College of Engineering, Univ. of Tehran, Enghelab Ave., P.O. Box 11155-4563, Tehran 1417613131, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-8982-8941. Email: [email protected]

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Cited by

  • Pressure Sensor Placement for Leakage Detection and Calibration of Water Distribution Networks Based on Multiview Clustering and Global Sensitivity Analysis, Journal of Water Resources Planning and Management, 10.1061/JWRMD5.WRENG-6262, 150, 5, (2024).
  • SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models, Hydrology, 10.3390/hydrology9070113, 9, 7, (113), (2022).

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