姓名：史国良
职务职称：教授/研究员， 博士生导师
研究领域：大气污染物来源、行为研究；源解析模型、技术方法
联系电话：022-85358792
邮箱：nksgl@nankai.edu.cn
教育背景
2007.9-2010.6 16877太阳集团 环境科学专业 理学博士
2004.9-2007.6 16877太阳集团 环境工程专业 工学硕士
1999.9-2003.6 安庆师范大学 资源与环境系 环境科学专业 理学学士
2004.9-2007.6 16877太阳集团 环境工程专业 工学硕士
1999.9-2003.6 安庆师范大学 资源与环境系 环境科学专业 理学学士
科研教学经历
2018.01-至今 南开大学 16877太阳集团 研究员，博士生导师
2015.11-2016.11 美国佐治亚理工学院 访问学者
2012.12-2017.12 南开大学 16877太阳集团 副教授，硕士生导师
2010.07-2012.12 南开大学 16877太阳集团 讲师
2015.11-2016.11 美国佐治亚理工学院 访问学者
2012.12-2017.12 南开大学 16877太阳集团 副教授，硕士生导师
2010.07-2012.12 南开大学 16877太阳集团 讲师
科研项目
大气重污染成因与治理攻关项目，子课题任务：“基于颗粒物组分的源解析”2017-2018
国家自然科学基金-面上项目：“大气复合污染条件下气溶胶酸性特征及其与污染源相互影响”，2018-2012
国家环保部公益性行业专项子课题：“呼包鄂城市群大气污染表征及空气质量持续改善方案研究，” 2015-2017
国家环保部公益性行业专项子课题：“京津冀地区城市大气细颗粒物实时源解析技术研究与应用” 2014-2016
国家基准重点实验室开放课题：“我国重点流域沉积物中多环芳烃风险源识别及当量毒性研究” 2015-2016
国家自然科学基金-青年科学基金项目：“基于受体—后轨迹耦合模型的大气颗粒物PM2.5区域源方位解析方法研究”2013-2015
中央高校基本科研业务费：“基于非负主成分回归质量平衡模型对环境空气中二次有机碳浓度估算的方法研究”，2012-2013
湖州市颗粒物成因及来源研究，2013-2014
成都市区颗粒物来源解析研究，2011-2112
包头市颗粒物污染成因研究，2014-2015
国家自然科学基金-面上项目：“大气复合污染条件下气溶胶酸性特征及其与污染源相互影响”，2018-2012
国家环保部公益性行业专项子课题：“呼包鄂城市群大气污染表征及空气质量持续改善方案研究，” 2015-2017
国家环保部公益性行业专项子课题：“京津冀地区城市大气细颗粒物实时源解析技术研究与应用” 2014-2016
国家基准重点实验室开放课题：“我国重点流域沉积物中多环芳烃风险源识别及当量毒性研究” 2015-2016
国家自然科学基金-青年科学基金项目：“基于受体—后轨迹耦合模型的大气颗粒物PM2.5区域源方位解析方法研究”2013-2015
中央高校基本科研业务费：“基于非负主成分回归质量平衡模型对环境空气中二次有机碳浓度估算的方法研究”，2012-2013
湖州市颗粒物成因及来源研究，2013-2014
成都市区颗粒物来源解析研究，2011-2112
包头市颗粒物污染成因研究，2014-2015
学术论著
共发表SCI论文60余篇，其中一作/通讯发表SCI学术论文50余篇，
主要论文如下：
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.
软件著作权
编写新型源解析模型，软件在国家环境保护城市空气颗粒物污染防治重点实验室网站（http:/air/）和美国佐治亚理工学院网站（http://russellgroup.ce.gatech.edu/node/16）推广和提供下载；
申请并获得软件著作权10余项，主要有：
“化学质量平衡模型嵌套迭代计算软件（CMB-Iteration）”，2012，中华人民共和国国家版权局
“非负主成分回归质量平衡模型计算软件(NCPCRCMB)”，2014，中华人民共和国国家版权局
“化学质量平衡-南开大学源解析科学计算软件（NKCMB）”，2014，中华人民共和国国家版权局
“颗粒物载带多环芳烃的风险评估和解析科学计算软件”，2014，中华人民共和国国家版权局
“因子分析-化学质量平衡复合模型计算软件(WALSPMF)”，2014，中华人民共和国国家版权局
“多点位三维因子分析科学计算软件(WFA3)”，2015，中华人民共和国国家版权局
“南开大学动态源解析实时计算软件”，2017，中华人民共和国国家版权局
主要论文如下：
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软件著作权
编写新型源解析模型，软件在国家环境保护城市空气颗粒物污染防治重点实验室网站（http:/air/）和美国佐治亚理工学院网站（http://russellgroup.ce.gatech.edu/node/16）推广和提供下载；
申请并获得软件著作权10余项，主要有：
“化学质量平衡模型嵌套迭代计算软件（CMB-Iteration）”，2012，中华人民共和国国家版权局
“非负主成分回归质量平衡模型计算软件(NCPCRCMB)”，2014，中华人民共和国国家版权局
“化学质量平衡-南开大学源解析科学计算软件（NKCMB）”，2014，中华人民共和国国家版权局
“颗粒物载带多环芳烃的风险评估和解析科学计算软件”，2014，中华人民共和国国家版权局
“因子分析-化学质量平衡复合模型计算软件(WALSPMF)”，2014，中华人民共和国国家版权局
“多点位三维因子分析科学计算软件(WFA3)”，2015，中华人民共和国国家版权局
“南开大学动态源解析实时计算软件”，2017，中华人民共和国国家版权局
荣誉与奖励
2013“131”天津市创新型人才培养工程第三层次人选
2012 全国百篇优秀博士论文提名奖
2012 天津市优秀博士论文奖
2010 “南开十杰”特等奖学金
2012 全国百篇优秀博士论文提名奖
2012 天津市优秀博士论文奖
2010 “南开十杰”特等奖学金
