Estimation of VOCs Emission from Refinery Wastewater Treatment Facilities of Petrochemical Industry by BP Artificial Neural Network

The BP artificial neural network approach was proposed to estimate the emission of VOCs from refi-nery wastewater treatment facilities of petrochemical industry.The BP artificial neural network for VOCs emission estimation of refinery wastewater treatment facilities was established by the use of Graphical User Interfaces(GUI) in MATLAB after affecting factors of VOCs emission were analyzed.Then the emulation and training for the network was proceeded with,and the trained network could be used to evaluate relevant cases.Results showed that the range of emission estimation error between BP artificial neural network approach and WATER9 which was recommended by USEPA is from 1.49% to 17.46%,and this BP artificial neural network provides a reliable estimation method for VOCs emission from refinery wastewater treatment facilities of petrochemical industry.