A NEURAL NETWORK APPLICATION FOR A BALLAST WATER ELECTROCHLORINATION SYSTEM

Yonsell F., Guney C., Danışman D. B.

FRESENIUS ENVIRONMENTAL BULLETIN, cilt.23, sa.12B, ss.3353-3361, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 12B
  • Basım Tarihi: 2014
  • Dergi Adı: FRESENIUS ENVIRONMENTAL BULLETIN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.3353-3361
  • Anahtar Kelimeler: Ballast water, Chlorine, Artificial Neural Network, ELECTROCHEMICAL DISINFECTION, HYPOCHLORITE PRODUCTION, EFFICACY
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.