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Neural networks application (ANNs) has been used at recent years in several technology areas. Applying artificial neural networks (ANN) has too many environmental engineering problems provide remarkable success. The objective of this project is to predict and show the accuracy of using neural network in air quality prediction in Al Ahmadi city. Several parameters such as carbon dioxide (CO2), ammonia, benzene, relative humidity, temperature, air velocity and air direction are used in this study, for period of four years. The correlation coefficient was used to indicate the performance of ANN. The networks provide a good prediction performance with R value 0.93308 for CO2, 0.81805 and 0.923 for Ammonia and Benzene, respectively.

Prediction of Air pollution in Al-Hmadi City using Artificial Neural Network (ANN)