A NEURAL NETWORK APPLICATION FOR A BALLAST WATER ELECTROCHLORINATION SYSTEM


Yonsell F., Guney C., Danışman D. B.

FRESENIUS ENVIRONMENTAL BULLETIN, vol.23, no.12B, pp.3353-3361, 2014 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 12B
  • Publication Date: 2014
  • Journal Name: FRESENIUS ENVIRONMENTAL BULLETIN
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED)
  • Page Numbers: pp.3353-3361
  • Keywords: Ballast water, Chlorine, Artificial Neural Network, ELECTROCHEMICAL DISINFECTION, HYPOCHLORITE PRODUCTION, EFFICACY
  • Istanbul Technical University Affiliated: Yes

Abstract

One of the principle factors for displacement of the non-indigenous species among marine environments is Ships' ballast water. Even though only a very small portion of these organisms can survive the rough condition of ballast tanks, these survivors pose a big threat to the new environment they are introduced into. There are numerous proposed ballast water treatment techniques for eliminating diverse effects of ballast water translocation. Chlorine disinfection is one of the proposed chemical techniques for ballast water treatment. A lab-scale chlorine generation system for disinfecting ballast water organisms was used for testing and electrochemical cell design was proposed in our previous studies as well in this current study for artificial neural network applications.