Epanet Calibrator - An integrated computational tool to calibrate hydraulic models

Integrating Water Systems - Proceedings of the 10th International on Computing and Control for the Water Industry, CCWI 2009

Volumn , Issue , 2010, Pages 129-133

  Abe, Narumi ^a   Cheung, Peter B ^b  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

^b FEDERAL UNIVERSITY OF MATO GROSSO DO SUL   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION PROBLEMS; COMPUTATIONAL TOOLS; ERROR MINIMIZATION; FREEWARE SOFTWARES; INTEGRATED COMPUTATIONAL TOOL; MODEL PARAMETERS; OPTIMIZATION TECHNIQUES; PIPE ROUGHNESS; SOURCE CODES; STATE VARIABLES;

COMPUTATIONAL METHODS; COMPUTER SIMULATION; GENETIC ALGORITHMS; HYDRAULIC MODELS; MATHEMATICAL PROGRAMMING; WATER DISTRIBUTION SYSTEMS; WATER SUPPLY; WATERWORKS;

PARAMETER ESTIMATION;

EID: 84856154577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Bard,Y. (1974). Nonlinear Parameter Estimation. Academic Press, NewYork and London.
2. Bush, C. A. and J. Uber (1998). Sampling design methods for water distribution model calibration. J.Wat. Res. Plan. and Manag. 124(6), 334-344. (Pubitemid 29038883)
3. Cheung, P. B.,M. Propato, B. Bremond, and O. Piller (2007). Water quality parameter estimation in a water distribution system.Water Management Challenges in Global Change, 279-285.
4. Cheung, P. B., M. Propato, and O. Piller (2005). Optimal location of water quality sensors in supply systems by multiobjective genetic algorithms.Water Management for the 21st Century, Proceedings of Computing and Control for theWater Industry (1), 203-208.
5. 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 (2), 141-152.
6. Deb, K. (2001). Multi-objective optimization using evolutionary algorithms. pp. 497.
7. Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading, Massachusetts.
8. Jonkergouw, P. M. R., S.-T. Khu, Z. S. Kapelan, and D. A. Savić (2008).Water quality model calibration under unknown demands. Journal ofWater Resources Planning and Management 134(4), 326-336. (Pubitemid 351877708)
9. Kapelan, Z. S., D. A. Savic, and G. A. Walters (2003). Multiobjective sampling design for water distribution model calibration. J.Wat. Res. Plan. and Manag. 129(6), 466-479. (Pubitemid 37450406)
10. Kapelan, Z. S., D. A. Savic, and G. A. Walters (2007). Calibration of water distribution hydraulic models using a bayesian-type procedure. Journal of Hydraulic Engineering 133(8), 927-936. (Pubitemid 47098082)
11. Lansey, K. E. and C. Basnet (1991). Parameter estimation for water distribution networks. J.Wat. Res. Plan. and Manag. 117(1), 126-144.
12. Lansey, K. E.,W. El-Shorbagy, I. Ahmed, J. Araujo, and C. T. Haan (2001). Calibration assessment and data collection for water distribution networks. J. of Hydr. Eng. 127(4), 270-279. (Pubitemid 32320609)
13. Mallick, K. N., I. Ahmed, K. S. Tickle, and K. E. Lansey (2002). Determining pipe groupings forwater distribution networks. J.Wat. Res. Plan. and Manag. 128(2), 130-139. (Pubitemid 34235582)
14. Meier, R. W. and B. D. Barkdoll (2000). Sampling design for network model calibration using genetic algorithms. J.Wat. Res. Plan. and Manag. 126(4), 245-250. (Pubitemid 30454424)
15. Munavalli, G. R. and M. S. M. Kumar (2003).Water quality parameter estimation in steadystate distribution system. J.Wat. Res. Plan. and Manag. 129(2), 124-134. (Pubitemid 36333796)
16. Piller, O. (1995). Modeling the behavior of a network - hydraulic analysis and a sampling procedure for estimating the parameters. PhD Thesis from the University Bordeaux I, in French.
17. Sumer, D. and K. Lansey (2009). Effect of uncertainty on water distribution system model design decisions. Journal of Water Resources Planning and Management 135(1), 38-47.
18. Wall, M. (1996). GAlib: A C++ Library of Genetic Algorithm Components. Mechanical Engineering Department, Massachusetts Institute of Technology.