Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source

Engineering Applications of Artificial Intelligence

Volumn 25, Issue 2, 2012, Pages 309-316

  Liu, Li ^a   Zechman, Emily M ^b   Mahinthakumar, G ^b   Ranji Ranjithan, S ^b  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b North Carolina State University   (United States)

Author keywords

Contamination; Local search; Logistic regression analysis; Water distribution systems

Indexed keywords

COMPUTATIONAL TIME; CONTAMINANT SOURCES; HEURISTIC SEARCH METHODS; ILLUSTRATIVE EXAMPLES; LOCAL SEARCH; LOCAL SEARCH METHOD; LOGISTIC REGRESSION ANALYSIS; NONUNIQUENESS; OPTIMIZATION METHOD; OPTIMIZERS; POTENTIAL SOLUTIONS; POTENTIAL SOURCES; SENSOR MEASUREMENTS; SIMULATION MODEL; SOURCE CHARACTERISTICS; STATISTICAL MODELS; WATER DISTRIBUTION NETWORKS; WATER DISTRIBUTIONS; WATER SECURITY;

ALGORITHMS; COMPUTER SIMULATION; CONTAMINATION; HEURISTIC METHODS; INVERSE PROBLEMS; LOCAL AREA NETWORKS; POTABLE WATER; REGRESSION ANALYSIS; STATISTICS; WATER POLLUTION;

WATER DISTRIBUTION SYSTEMS;

EID: 84855816014     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2011.10.009     Document Type: Article

References (22)

1. Brumbelow, K.; Torres, J.; Guikema, S.; Bristow, E.; Kanta, L.; 2007. Virtual cities for water distribution and infrastructure system research. In: Proceedings of the World Environmental and Water Resources Congress, Tampa, FL, May 1519.
2. De Sanctis, A.E.; Shang, F.; Uber, J.G.; 2006. Determining possible contaminant sources through flow path analysis. In: Proceedings of the Water Distribution Systems Analysis Symposium, Cincinnatti, OH, August 2730.
3. A.E. De Sanctis, F. Shang, and J.G. Uber Real-time identification of possible contamination sources using network backtracking methods J. Water Resour. Plann. Manage. 136 4 2010 444 453
4. C. Di Cristo, and A. Leopardi Pollution source identification of accidental contamination in water distribution networks J. Water Resour. Plann. Manage. 134 2 2008 197 202 (Pubitemid 351279625)
5. M. Gen, and R.W. Chen Genetic Algorithms and Engineering Design 1997 John Wiley & Sons New York
6. J. Guan, M.M. Aral, M.L. Maslia, and W.M. Grayman Identification of contaminant sources in water distribution systems using simulationoptimization method: case study J. Water Resour. Plann. Manage. 132 4 2006 252 262
7. Hart, W.E.; 1994. Adaptive Global Optimization with Local Search. Ph.D. Thesis, University of California, San Diego.
8. Hill, J.; Van Bloemen Waanders, B.G.; Laird, C.D.; 2006. Source inversion with uncertain sensor measurements. In: Proceedings of the Water Distribution Systems Analysis Symposium, Cincinnatti, OH, August 2730.
9. C.L. Laird, L.T. Biegler, B.G. Van Bloemen Waanders, and R.A. Bartlett Contamination source determination for water networks J. Water Resour. Plann. Manage. 131 2 2005 125 134 (Pubitemid 40322951)
10. C.D. Laird, L.T. Biegler, and B.G. van Bloemen Waanders Mixed-integer approach for obtaining unique solutions in source inversion of water networks J. Water Resour. Plann. Manage. 132 4 2006 242 251
11. Land, M.W.S.; 1998. Evolutionary Algorithms with Local Search for Combinatorial Optimization. Ph.D. Thesis, University of California, San Diego.
12. L. Liu, A. Sankarasubramanian, and S. Ranjithan Logistic regression analysis to estimate contaminant sources in water distribution systems J. Hydroinf. 13 3 2011 545 557
13. Liu, L.; Zechman, E.M.; Brill, E.D.; Mahinthakumar, G.; Ranjithan, S.; Uber, J.G.; 2006. Adaptive contamination source identification in water distribution systems using an evolutionary algorithm-based dynamic optimization procedure. In: Proceedings of the Water Distribution Systems Analysis Symposium, Cincinnatti, OH, August 2730.
14. J.A. Nelder, and R. Mead A simplex method for function minimization Comput. J. 7 1965 308 313
15. R.M. Neupauer, M.K. Records, and W.H. Ashwood Backward probabilistic modeling to identify contaminant sources in water distribution systems J. Water Resour. Plann. Manage. 136 5 2010 587 591
16. Perelman, L.; d Ostfeld, A.; 2010. Bayesian networks for estimating contaminant source and propagation in water distribution system using cluster structure. In: Proceedings of the Water Distribution Systems Analysis Symposium, Tucson, AZ, September 1215.
17. A. Preis, and A. Ostfeld A contamination source identification model for water distribution system security Eng. Optim. 39 8 2007 941 951
18. A. Preis, and A. Ostfeld Genetic algorithm for contaminant source characterization using imperfect sensors Civil Eng. Environ. Syst. 25 1 2008 29 39 (Pubitemid 351298197)
19. Shen, H.; McBean, E.; 2010. An ARCGIS tool for rapid contaminant source identification. In: Proceedings of the Water Distribution Systems Analysis Symposium, Tucson, AZ, September 1215.
20. Van Bloemen Waanders, B.G.; Bartlett, R.A.; Bigler, L.T.; Laird, C.D.; 2003. Nonlinear programming strategies for source detection of municipal water networks. In: Proceedings of the ASCE World Water and Environmental Congress, Philadelphia, PA, June 2326.
21. Y.G. Xu, G.R. Li, and Z.P. Wu A novel hybrid genetic algorithm using local optimizer based on heuristic pattern move Appl. Artif. Intell. 15 2001 601 631 (Pubitemid 33700852)
22. E.M. Zechman, and S. Ranjithan Evolutionary computation-based methods for characterizing contaminant sources in a water distribution system J. Water Resour. Plann. Manage. 135 5 2009 334 343