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南开大学环境科学与工程学院



冯剑丰

姓名:冯剑丰
职务职称:副教授,硕士生导师
研究领域:水环境污染物的行为过程与生态效应模型;藻华(蓝藻、赤潮)机理与预测;环境生态系统动力学建模与分析
联系电话:022-85358315
邮箱:fengjf@nankai.edu.cn

教育背景

1997.09-2001.07  天津大学力学系学习,获工学学士学位
2001.08-2006.03  天津大学力学系学习,获工学博士学位

科研教学经历

科研经历:
2006.04-2008.04   天津大学环境科学与工程学院博士后研究
2008.05-2008.08   荷兰瓦赫宁根大学(WUR)水生态与水质量研究中心访问学者
2012.02-2013.01   挪威奥斯陆大学生态与进化中心(UiO: CEES)访问学者
2008.09-至今     南开大学环境科学与工程学院,副教授

主讲课程:
基础海洋学(本科);海洋与人类文明(本科);生态环境系统动力学建模技术与方法(研究生);环境流体力学(研究生)

学术与社会任职

Environ. Sci. Technol, Progress in Oceanography, Ecotoxicology, Ecological Modelling, Continental Shelf Research, Theoretical Population Biology, Nonlinear Dynamics等国际期刊审稿人.

科研项目

天津市自然科学基金:磷胁迫下渤海湾浮游植物群落演替模型与动力学机制,2015-2018
国家自然科学基金:海洋微生物功能菌群、藻类与营养盐生态耦合动力学机制,2015-2018
国家自然科学基金:基于生物配体模型解释及预测不同类型金属联合毒性的机制,2013-2016
国家自然科学基金:多重胁迫下近岸藻华的非线性跃迁动力学机制,2011-2013
科技部科技开发研究专项:海岸工程影响下近岸海洋浮游生态系统响应模型,2009-2010
博士后科学基金:海岸带生态系统稳态转换的非线性动力学机制研究,2006-2008
国家水专项:流域水环境生态学基准阈值与方法,2012-2015
国家环保部:环渤海沿海地区重点产业发展战略环境评价(天津子项目),2009-2010
天津市政府:天津滨海新区发展战略环境影响评价研究(海洋专题),2008-2010
国家自然科学基金:海洋浮游生态系统稳态转换的非线性动力学研究,2008-2010
博士点基金:海岸带耦合系统的可持续发展动力学研究,2008-2010
国家海洋局908项目:中国近海生态系统功能指标及其与环境指标的定量关系和评价模式研究,2005-2009
国家自然科学基金:海洋赤潮生态动力学系统的分岔、混沌与预测研究,2005-2007

学术论著

1. Jianfeng Feng*, Yongfei Gao,Min Chen, et al. Predicting cadmium and lead toxicities in zebrafish (Danio rerio) larvae by using a toxicokinetic–toxicodynamic model that considers the effects of cations. Science of the Total Environment, 2018, 625: 1584–1595.
2. Jianfeng Feng*, Yongfei Gao, Yijun Ji, Lin Zhu. Quantifying the interactions among metal mixtures in toxicodynamic process with generalized linear model. Journal of Hazardous Materials, 2018,345:97-106
3. Gao Y, Feng J*, Kang L, et al. Concentration addition and independent action model: Which is better in predicting the toxicity for metal mixtures on zebrafish larvae. Science of the Total Environment, 2018, 610-611:442.
4. Xia Liu, Jianfeng Feng*, Yinhuan Qiao, Yuqiu Wang and Lin Zhu. Assessment of the Effects of Total Emission Control Policies on Surface Water Quality in China: 2004 to 2014. Journal of Environmental Quality, 2017,46:605-613
5. Yongfei Gao, Jianfeng Feng*, Cancan Wang, Lin Zhu*: Modeling interactions and toxicity of Cu-Zn mixtures to zebrafish larvae. Ecotoxicology and Environmental Safety, 2017, 138:146-153.
6. Yinhuan Qiao, Jianfeng Feng*, Shangfa Cui, Lin Zhu. Long-term changes in nutrients, chlorophyll a and their relationships in a semi-enclosed eutrophic ecosystem, Bohai Bay, China. Marine Pollution Bulletin, 2017, 117:222-228.
7. Y Gao , J Feng* , L Zhu. Toxicodynamic modeling of zebrafish larvae to metals using stochastic death and individual tolerance models: comparisons of model assumptions, parameter sensitivity and predictive performance. Ecotoxicology, 2017, 26 (3) :1-13
8. Xue Li, Jianfeng Feng*, Christopher Wellen, Yuqiu Wang. A Bayesian approach of high impaired river reaches identification and total nitrogen load estimation in a sparsely monitored basin. Environmental Science and Pollution Research, 2017, 24(1):987-996.
9. Qiao Y, Feng J*, Liu X, et al. Surface water pH variations and trends in China from 2004 to 2014. Environmental Monitoring & Assessment, 2016, 188(7):443.
10. Yongfei Gao, Jianfeng Feng*, Lin Zhu*.Internal concentration as a better predictor of metal toxicity than the fractional coverage of metals on biotic ligand: Comparison of three modeling approaches. Environmental Toxicology and Chemistry,2016, 35(11):2721-2733.
11. Feng J, Guo Y, Gao Y, Zhu L*. Effects of Hypoxia on the Physiology of Zebrafish (Danio rerio): Initial Responses, Acclimation and Recovery. Bulletin of Environmental Contamination and Toxicology, 2016, 96(1): 43-48.
12. Gao Y, Feng J*, Han F, Zhu L*. Application of Biotic Ligand and Toxicokinetic–Toxicodynamic Modeling to Predict the Accumulation and Toxicity of Metal Mixtures to Zebrafish Larvae . Environmental Pollution, 2016, 213:16~29.
13. Feng, J., J. M. Durant, L. C. Stige, D. O. Hessen, D. Ø. Hjermann, L. Zhu, M. Llope, and N. C. Stenseth*, Contrasting correlation patterns between environmental factors and chlorophyll levels in the global ocean, Global Biogeochem. Cycles, 2015,29, 2095-2107.
14. Gao Y, Feng J*, Zhu L*. Prediction of acute toxicity of cadmium and lead to zebrafish larvae by using a refined toxicokinetic-toxicodynamic model. Aquatic Toxicology, 2015, 169: 37-45.
15. Feng J*, Stige L C, Durant J M, D. O. Hessen, L. Zhu, D. Ø. Hjermann, M. Llope, and N. C. Stenseth. Large-scale season-dependent effects of temperature and zooplankton on phytoplankton in the North Atlantic. Mar. Ecol. Progr. Ser., 2014, 502: 25-31.
16. Ming, H. X., Zhu, L*., Feng, J. F., Yang, G., Fan, J. F. Risk Assessment for Rotavirus Infection in Surface Seawater from Bohai Bay, China via Detection of Infectious Rotaviruses. Human and Ecological Risk Assessment,2014,20:929-940
17. Liu, C*., Wang, J., Feng, J., Peng, S. Effects of suspended particles on the growth of two red-tide phytoplankton species of Bohai Bay, China. Marine Pollution Bulletion, 2013,74(1):220-224.
18. Feng J*, Dakos V, van Nes E H. Does predator interference cause alternative stable states in multispecies communities? Theoretical Population Biology, 2012, 82(3): 170-176.
19. Huang, D.W.*, Wang, H. L., Feng, J. F., 2008.  Modelling algal densities in harmful algal blooms (HABs) with stochastic dynamics. Applied Mathematical Modelling, 32(7): 1318-1326.
20. Huang, Dong-Wei*; Gao, Qin; Wang, Hong-Li; Feng, Jian-Feng, 2007.  On chaotic motion of some stochastic nonlinear dynamic system. Chaos, Solitons and Fractals, 31(1):242-246.
21. Feng Jianfeng*, Wang Hongli, Huang Dongwei,2006. Alternative Attractors in Marine Ecosystems: a Comparative Analysis of Fishing Effects, Ecological Modelling, 195(3-4):377-384.
22. Huang Dongwei*, Wang Hongli, Feng Jianfeng,2006. The Study on Stochastic Hopf Bifurcation of HABs Nonlinear Stochastic Dynamics, Chaos, Solitons & Fractals, 27(4):1072-1079.
23. Wang Hongli, Feng Jianfeng*, 2005. Stability and Bifurcation Behaviors Analysis in a Nonlinear Harmful Algal Dynamical Model, Applied Mathematics and Mechanics, 26(6):729-734.

荣誉与奖励

环保部,环境保护科学技术一等奖(2014)