A method was developed for the simultaneous determination of phenanthrene(Phe)and 2-ethylphenanthrene(2-EP) in water by synchronous fluorescence spectroscopy combined with artificial neural network(ANN) and support vector regression(SVR).The characteristic wavelength offset(Δλ)is 118 nm by adopting three dimensional synchronous fluorescence spectroscopy with parallel factor analysis(PARAFAC).In range of 220-280 nm,the fluorescence intensities at 31 wavelengths were regarded as input variables for ANN and SVR models analysis.The results showed that the recoveries of Phe and 2-EP prediction samples were in the ranges of 92.5%-104.9%and 96.1%-104.3%,respectively,obtained by ANN model,while the recoveries of Phe and 2-EP were 98.2%-101.3%and 94.9%-104.2%,respectively by utilizing SVR model.The prediction root mean square errors(RMSEP)of Phe and 2-EP were 2.08 and 2.95 with ANN model,meanwhile they were 0.74 and 2.42 with SVR model,respectively.Recovery experiments by standard addition in actual water samples demonstrated that a satisfactory result was obtained with the two models for mineral water(simple matrix).However,predictive values were lower than the actual values for lake water(complex matrix),in which the performance of SVR model was more steady,and had stronger generalization ability than ANN model.Moreover,the synchronous fluorescence spectroscopy coupled with SVR was used to simultaneously calculate the binding coefficients of Phe and 2-EP with humic acid(HA)in a mixture solution.The result showed that the bonding capabilities of Phe and 2-EP in the mixed systems are both less than those in single component system,which indicated that there is a competing absorption existing between Phe and 2-EP.