1,324
Views
5
CrossRef citations to date
0
Altmetric
Articles

Application of parallel computing in data mining for contaminant source identification in water distribution systems

&
Pages 34-39 | Published online: 28 Mar 2013

References

  • American Water Works Association (AWWA). 2004. Security guidance for water utilities. Accessed October 2009. http://www.awwa.org/science/wise.
  • Guan , J. , Aral , M. M. , Maslia , M. L. and Grayman , W. M. 2006 . Identification of contaminant source in water distribution systems using simulation-optimization method: Case study . Journal of Water Resources Planning and Management , 132 ( 4 ) : 252 – 262 .
  • Huang , J. and McBean , E. 2009 . Data mining to identify contaminant event locations in water distribution systems . Journal of Water Resources Planning and Management , 135 ( 6 ) : 466 – 474 .
  • Kim , M. , Choi , C. Y. and Gerba , C. P. 2008 . Source tracking of microbial intrusion in water systems using artificial neural networks . Water Research , 42 ( 2008 ) : 1308 – 1314 .
  • López-Ibáñez , M. , Prasad , T.D. and Paechter , B. 2008 . Parallel optimisation of pump schedules with a thread-safe variant of EPANET toolkit . Water Distribution Systems Analysis , 2008 : 1 – 10 . doi: 10.1061/41024(340)40
  • Perelman , L. and Ostfeld , A. 2010 . Bayesian networks for estimating contaminant source and propagation in water distribution system using cluster structure . Water Distribution System Analysis , 2010 : 426 – 435 . doi: 0.1061/41203(425)40
  • Rossman , L. A. 2000 . EPANET 2 users manual , Cincinnati , OH : United States Environmental Protection Agency . 200
  • Shang , F. , Uber , J. G. and Polycarpou , M. M. 2002 . Particle back tracking algorithm for water distribution system analysis . Journal of Environment Engineering , 128 ( 5 ) : 441 – 450 .
  • SHARCNET. Accessed October 2010.https://www.sharcnet.ca/help/index.php/Knowledge_Base
  • Shen , H. , McBean , E. and Ghazali , M. 2009a . Multi-stage response to contaminant ingress into water distribution systems and probability quantification . Canadian Journal of Civil Engineering , 36 ( 11 ) : 1764 – 1772 .
  • Shen , H. , McBean , E. and Ghazali , M. 2009b . “ Contaminant source identification for priority nodes in water distribution systems ” . In Dynamic modeling of urban water systems, Monograph 18 , Edited by: James , W. 485 – 497 . Guelph : CHI .
  • Sreepathi , S. , Mahinthakumar , K. , Zechman , E. , Ranjithan , R. , Brill , D. , Ma , X. and Laszewski , G. V. 2007 . Cyberinfrastructure for contamination source characterization in water distribution system . Proceedings of Computational Science ICCS 2007, Part I, Lecture Notes in Computer Science , 4487 : 1058 – 1065 .
  • Wong , A. , Young , J. , Laird , C.D. , Hart , W.E. and McKenna , S.A. 2010 . Optimal determination of grab sample locations and source inversion in large-scale water distribution systems . Water Distribution System Analysis , 2010 : 412 – 425 . doi: 10.1061/41203(425)39

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.