The application of artificial neural networks for the prediction of water quality of polluted aquifer

Gumrah F., Oz B., Guler B., Evin S.

WATER AIR AND SOIL POLLUTION, cilt.119, ss.275-294, 2000 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 119
  • Basım Tarihi: 2000
  • Doi Numarası: 10.1023/a:1005165315197
  • Dergi Adı: WATER AIR AND SOIL POLLUTION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.275-294
  • Anahtar Kelimeler: Artificial Neural Network, chlorine concentration, groundwater simulation, MANAGEMENT
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

From hydrocarbon reservoirs, beside of oil and natural gas, the brine is also produced as a waste material, which may be discharged at the surface or re-injected into the ground. When the wastewater is injected into the ground, it may be mixed with fresh water source due to to several reasons. Forecasting the pollutant concentrations by knowing the historical data at several locations on a field has a great importance to take the necessary precautions before the undesired situations are happened.