[2] [2] Zheng M. Hong Kong: particulate air pollution and health impacts[J]. Encyclopedia of Environmental Health, 2011(3): 56-61.

[3] [3] Zhou M G, He G J, Liu Y N, et al. The associations between ambient air pollution and adult respiratory mortality in 32 major Chinese cities, 2006-2010[J]. Environmental Research, 2015, : 278-286.

[4] [4] Genc DD, Yesilyurt C, Tuncel G. Air pollution forecasting in Ankara, Turkey using air pollution index and its relation to assimilative capacity of the atmosphere[J]. Environmental Monitoring & Assessment, 2010, (1-4): 11.

[8] [8] Ausati S,Amanollahi J. Assessing the accuracy of ANFIS, EEMD-GRNN, PCR, and MLR models in predicting PM2.5[J]. Atmospheric Environment, 2016, : 465-474.

[9] [9] Ul-Saufie A Z,Yahaya A S, Ramli N A, et al. Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)[J]. Atmospheric Environment, 2013, (3): 621-630.

[12] [12] Ni X Y, Huang H, Du W P. Relevance analysis and short-term prediction of PM2.5 concentrations in Beijing based on multi-source data[J]. Atmospheric Environment, 2017, : 146-161.

[13] [13] Hou Weizhen, Li Zhengqiang, Zhang Yuhuan, et al. Using support vector regression to predict PM10 and PM2.5[J]. Iop Conference Series: Earth & Environmental Science, 2014, (1): 12268-12273.

[14] [14] Cong S L, Sun J, Mao H P, et al. Non-destructive detection for mold colonies in rice based on hyperspectra and GWO-SVR[J]. Journal of the Science of Food and Agriculture, 2018, (4): 1453-1459.

[16] [16] Vapnik V N. The Nature of Statistical Learning Theory[M]. Springer, 1995. (6): 988-999.

[17] [17] Mirjalili S, Mirjalili S M, Lewis A. Grey wolf optimizer[J]. Advances in Engineering Software, 2014, 69: 46-61.