Establishment and validation of VOCs emission flux prediction model for automotive paint sludge
A lot of paint sludge is produced in the process of automotive production,from which VOCs emissions can cause harm to the environment and human body.However,there are few studies on quantitative characterization models of VOCs source release from automotive paint sludge.In this paper,a diffusion control model for characterizing the emission behaviors of cumulative VOCs from automotive oil-based paint sludge based on the worst field management scenario.The model has two key characteristic parameters:the diffusion coefficient(Dm)and the initial emittable concentration(Cm,0),both of which can be obtained simultaneously by our proposed ER-history method.The emission rate and concentration of material VOCs are functions of key parameters,and the determination of key emission parameters is the basis of studying the emission law of material VOCs.The results showed that 1-butanol,butyl acetate,1,2,4-tritylene and 1-ethyl-4-toluene were the main substances released from oil-based paint sludge.In addition,the model is validated by the data of the environmental test chamber,which proves the reliability and persuasiveness of the model.The model is more accurate for predicting hydrophobic VOCs release than those of hydrophilic.Moreover,the increase of Cm,0 and Dm has a tendency to promote the cumulative release of VOCs.This result provides new insights into experimental design for rapid measurement of model parameters and a theoretical basis for evaluating the cumulative release of VOCs from paint sludge.
万方数据
维普
