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Shi, G.L., Liu, J.Y., Wang, H.T., Tian, Y.Z., Wen, J., Shi, X.R., Feng, Y.C.*, Ivey, C.E., Russell, A.G. Source apportionment for fine particulate matter in a Chinese city using an improved gas-constrained method and comparison with multiple receptor models. Environmental Pollution, 2018, 233, 1058-1067.
Krall, J.R., Ladva, C.N., Russell, A.G., Colan, R., Peng, X.,Shi, G.L., Greenwald, R., Raysoni, A.U., Waller, L.A., Sarnat, J.A. Source-specific pollution exposure and associations with pulmonary response in the Atlanta Commuters Exposure Studies. Journal of Exposure Science and Environmental Epidemiology, 2018, 28, 337-347.
Shi, G.L.*, Xu, J., Peng, X., Xiao, Z.M., Chen, K., Tian, Y.Z., Guan, X.B., Feng, Y.C., Yu, H.F., Nenes, A., Russell, A.G.* pH of Aerosols in a Polluted Atmosphere: Source Contributions to Highly Acidic Aerosol. Environmental Science & Technology, 2017, 51, 4289−4296.
Ivey, C.*, Holmes, H., Shi, G.L., Balachandran, S., Hu, Y.T., Russell, A.G. Development of PM2.5 Source Profiles Using a Hybrid Chemical Transport-Receptor Modeling Approach. Environmental Science & Technology, 2017, 51, 13788−13796.
Shi, G.L.*, Peng, X., Huangfu, Y.Q., Wang, W., Xu, J., Tian, Y.Z., Feng, Y.C.*, Ivey, C.E., Russell, A.G. Quantification of source impact to PM using three-dimensional weighted factor model analysis on multi-site data. Atmospheric Environment, 2017, 160, 89-96.
Peng, X., Shi, G.L.*, Gao, J.*, Liu, J.Y., HuangFu, Y.Q., Ma, T., Wang, H.T., Zhang, Y.C., Wang, H., Li, H., Ivey, C.E., Feng, Y.C. Characteristics and sensitivity analysis of multiple-time-resolved source patterns of PM2.5 with real time data using Multilinear Engine2. Atmospheric Environment, 2016, 139, 113-121.
Shi, G.L., Xu, J., Peng, X., Tian, Y.Z., Wang, W., Han, B., Zhang, Y.F., Feng, Y.C.*, Russell, A.G. Using a new WALSPMF model to quantify the source contributions to PM2.5 at a harbour site in China. Atmospheric Environment, 2016, 126, 66-75.
Gao, J., Peng, X., Chen, G., Xu, J., Shi, G.L*., Zhang, Y.C., Feng, Y.C. Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution. Science of the Total Environment, 2016, 542, 162-171.
Shi, G.L., Zhou, X.Y., Feng,Y.C.*, Tian, Y.Z., Liu, G.R., Zheng, M.*, Zhou Y., Zhang, Y.H. Technical Note: An improved estimate of uncertainty for source contribution from Effective Variance Chemical Mass Balance (EV-CMB) analysis. Atmospheric Environment, 2015, 100, 154-158.
Tian, Y.Z., Wang, J., Peng, X., Shi, G.L. *, Feng, Y.C. Estimation of direct and indirect impacts of fireworks on the physicochemical characteristics of atmospheric fine and coarse particles. Atmospheric Chemistry and Physics, 2014, 14, 9469-9479.
Shi, G.L., Liu, G.R., Tian, Y.Z., Zhou, X.Y., Peng, X., Feng, Y.C.* Chemical characteristic and toxicity assessment of particle associated PAHs for the short-term anthropogenic activity event: During the Chinese New Year's Festival in 2013. Science of the Total Environment, 2014, 482-83, 8-14.
Tian, Y.Z., Liu, G.R., Zhang, C.Y., Wu, J.Y., Zeng, F., Shi, G.L.*, Feng, Y.C. Effects of collinearity, unknown source and removed factors on the NCPCRCMB receptor model solution. Atmospheric Environment, 2013, 81, 76-83.
Shi, G.L., Tian, Y.Z. *, Han, S.Q., Zhang, Y.F., Li, X., Feng, Y.C.*, Wu, J.H., Zhu, T. Vertical characteristics of carbonaceous species and their source contributions in a Chinese mega city. Atmospheric Environment, 2012, 45, 358–365.
Zhang, Y., Guo, C.S., Xu, J., Tian, Y.Z., Shi, G.L. *, Feng, Y.C.* Potential source contributions and risk assessment of PAHs in sediments from Taihu Lake, China: Comparison of three receptor models. Water Research, 2012, 46, 3065-3073.
Shi, G.L., Zeng, F., Li, X., Feng, Y.C.*, Wang, Y.Q., Liu, G.X., Zhu, T. Estimated contributions and uncertainties of PCA/MLR-CMB results: Source apportionment for synthetic and ambient datasets. Atmospheric Environment, 2011, 45 (17), 2811–2819.
Shi, G.L., Tian, Y.Z., Zhang, Y.F.*, Ye, W.Y., Li, X., Tie, X.X., Feng, Y.C.*, Zhu, T. Estimation of the concentrations of primary and secondary organic carbon in ambient particulate matter: Application of the CMB-Iteration method. Atmospheric Environment, 2011, 45 (32), 5692–5698.
Shi, G.L., Feng, Y.C. *, Zeng, F., Li, X., Zhang, Y.F., Wang, Y.Q., Zhu, T. Use of a Nonnegative Constrained Principal Component Regression Chemical Mass Balance Model to Study the Contributions of Nearly Collinear Sources. Environmental Science & Technology, 2009, 43 (23), 8867-8873.
Shi, G.L., Li, X., Feng, Y.C. *, Wang, Y.Q., Wu, J.H., Li, J., Zhu, T. Combined source apportionment, using positive matrix factorization–chemical mass balance and principal component analysis/multiplelinear regression–chemical mass balance models. Atmospheric Environment, 2009, 43 (18), 2929–2937.
学术论著
朱坦，冯银厂,史国良,毕晓辉,张一心,张裕芬,吴建会,田瑛泽，《Recent Development of Receptor Model for Ambient Particulate Matter Source Apportionment》， “科学出版社”，2016
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