Optimal sensor placement for water distribution network security

AIChE Annual Meeting, Conference Proceedings

Volumn , Issue , 2005, Pages 6713-6736

  Shastri, Y ^a   Diwekar, U ^b  

^a University of Illinois at Chicago   (United States)

^b Vishwamitra Research Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEMAND UNCERTAINTIES; OPTIMAL SENSOR PLACEMENT; THEORY OF OPTIMIZATION; WATER DISTRIBUTION NETWORK SECURITY;

CHEMICAL SENSORS; CONTAMINATION; DECISION MAKING; OPTIMAL SYSTEMS; PROBLEM SOLVING; RISK MANAGEMENT; STOCHASTIC PROGRAMMING;

WATER DISTRIBUTION SYSTEMS;

EID: 33645650525     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. G. Eiger, U. Shamir, and A. Ben-Tal. Optimal design of water distribution networks. Water Resources Research, 30(9):2637-2646, 1994.
2. K.V.K. Varma, S. Narasimhan, and S.M. Bhallamudi. Optimal design of water distribution systems using an NLP method. Journal of Envir. Engg., 123(4):381-388, 1997.
3. D.A. Savic and G.A. Walters. Genetic algorithms for least cost design of water distribution networks. Journal of Water Res. Planning and Management, 123(2):67-77, 1997.
4. C. Xu and I. Goulter. Reliability based optimal design of water distribution networks. Journal of Water Res. Planning and Management, 125(2):352-362, 1999.
5. J. Berry, L. Fleischer, W. Hart, C. Phillips, and J. Watson. Sensor placement in municipal water networks. To appear in special issue of Journal of Water Res. Planning and Management, 2005.
6. A. Kessler, A. Ostfeld, and G. Sinai. Detecting accidental contaminations in municipal water networks. Journal of Water Res. Planning and Management, 124:192-198, 1998.
7. A. Kumar, M.L. Kansal, and G. Arora. Discussion of detecting accidental contaminations in municipal water networks. Journal of Water Res. Planning and Management, 125:308-310, 1999.
8. M.E. Tryby, D.L. Boccelli, J.G. Uber, and L.A. Rossman. Facility location model for booster disinfection of water supply networks. Journal of Water Res. Planning and Management, 128:322-332, 2002.
9. U.M. Diwekar. Introduction to Applied Optimization. Kluwer Academic Publishers, Dordrecht, 2003.
10. L.A. Rossman. EPANET users manual. Risk reduction engg. lab, Environmental Protection Agency, Cincinnati, Ohio, 1993.
11. J. Birge and F. Louveaux. Introduction to Stochastic Programming. Springer series in Operations Research, 1997.
12. J.R. Kalagnanam and U. Diwekar. An efficient sampling technique for off-line quality control. Technometrics, 39(3):308-319, 1997.
13. R Wang, U. Diwekar, and E. Grégorie Padró. Efficient sampling techniques for uncertainties and risk analysis. Environmental Progress, 23(2):141-157, July 2004.
14. G.B. Dantzig and P.W. Glynn. Parallel processors for planning under uncertainty. Annals of Operations Research, 22:1-21, 1990.
15. G. Infanger. Monte carlo (importance) sampling within a benders decomposition algorithm for stochastic linear programs. Annals of operations research, 39:69-95, 1992.
16. G.B. Dantzig and G. Infanger. Computational and Applied Mathematics I. Elsevier Science Publishers, B.V. (North Holland), 1992.
17. J. Higle and S. Sen. Stochastic decomposition: an algorithm for two stage linear programs with recourse. Annals of Operations Research, 16:650-669, 1991.
18. R. Van Slyke and R.J-B Wets. L-shaped linear programs with application to optimal control and stochastic programming. SIAM Journal on Applied Mathematics, 17:638-663, 1969.
19. K.H. Sahin and U.M. Diwekar. Better Optimization of Nonlinear Uncertain Systems (BONUS): A new algorithm for stochastic programming using reweighting through kernel denisty estimation. Annals of Operations Research, 132:47-68, 2004.
20. T. Hesterberg. Weighted average importance sampling and defensive mixture distribution. Technometrics, 37:185-194, 1995.
21. B.W. Silvermann. Density estimation for statistics and data analysis. Chapman and Hall (CRC reprint 1998), Boca Raton, USA, 1986.