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, vol.119, pp.275-294, 2000 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 119
  • Publication Date: 2000
  • Doi Number: 10.1023/a:1005165315197
  • Journal Name: WATER AIR AND SOIL POLLUTION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.275-294
  • Keywords: Artificial Neural Network, chlorine concentration, groundwater simulation, MANAGEMENT
  • Middle East Technical University Affiliated: No

Abstract

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.