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Forecasting ambient air SO2 concentrations using artificial neural networks
(Taylor & Francis, 2006-07)
An Artificial Neural Networks (ANNs) model is constructed to forecast SO 2 concentrations in Izmir air. The model uses meteorological variables (wind speed and temperature) and measured particulate matter concentrations ...
A health risk assessment for exposure to trace metals via drinking water ingestion pathway
A health risk assessment was conducted for exposure to trace metals via drinking water ingestion pathway for Province of İzmir, Turkey. Concentrations of 11 trace metals were measured in drinking waters collected from 100 ...
Seasonal variation in drinking water concentrations of disinfection by-products in IZMIR and associated human health risks
Seasonal variation in concentrations of two different disinfection by-product groups, trihalomethanes (THMs) and haloacetonitriles (HANs), was investigated in tap water samples collected from five sampling points (one ...
Application of artificial neural networks to predict prevalence of building-related symptoms in office buildings
Artificial neural networks (ANN) were constructed to predict prevalence of building-related symptoms (BRS) of office building occupants. Six indoor air pollutants and four indoor comfort variables were used as input variables ...
Occurrence, oral exposure and risk assessment of volatile organic compounds in drinking water for İzmir
Concentrations of volatile organic compounds (VOCs) were measured in the drinking water in Province of İzmir, Turkey, and associated health risks due to ingestion of these compounds were investigated using population ...