Personal Information
Name: Hongfu Sun
Title: Associate Professor
E-mail：shf_cumtb@163.com
Research Interests
(1) Prediction and control of acid water in mine
(2) Comprehensive utilization of mine water
(3) Environmental remote sensing monitoring and application
Education/Work Background
1998.09-2002.07， Jiaozuo Institute of Technology, Environmental Engineering, Bachelor;
2002.09-2005.07， China University of Mining & Technology (Beijing), Geochemistry, Master；
2005.09-2009.07，China University of Mining & Technology (Beijing), Geochemistry, PhD；
2007.10-2008.10， University of Ottawa, Joint Program for Doctoral Students；
2009.07-2012.10，China University of Mining & Technology (Beijing), Lecturer；huo
2012.10-2013.10，XinZhi Coal Mine, Huozhou Coal Electrcity Group, Temporary Chief Engineer Assistant；
2012.10-Now， China University of Mining & Technology (Beijing), Associate Professor.
Teaching Courses
Environmental Geology
Hydrogeochemistry
Key Research Funding
[1]. SBR bioremediation of coal mine acidic water using acidophilic iron reducing bacterium JF-5，National Natural Science Foundation of China (No. 441102096)
[2]. Research on Geochemical Models for Predicting Acid Production in Mines，International Cooperation Project of the Ministry of Science and Technology (No. 2012DFG71060)
[3]. Construction of Water Hazard Models in Various Mining Areas of Xishan Coal and Power Company，Scientific Research Project of ShanXi Coking Coal Group Co., LTD (No. 20230767)
Honors
2021, I won the second prize of Beijing Higher Education Teaching Achievement Award.
2012, I won the third prize of Science and Technology Award of China Coal Industry Association.
Selected Publications (* denotes Corresponding author)
[1] SUN H.F., WU Y.Q., ZHAO F.H., et al. Comprehensive utilization of reverse osmosis concentrated brine in coal mines in the arid areas of Western Inner Mongolia, Journal of China Coal Society, 2023, 48(12): 1-9.
[2] ZHAO D.X., LIN Z., SUN H.F., et al. Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach, Remote Sensing, 2021, 13, 2251;
[3] Zhang X.R., Zhu L., Sun H.F., et al. Validation and inter-comparison of the FY-3B/MERSI LAI product with GLOBMAP and MYD15A2H, International Journal of Remote Sensing, 2020, 41(23):9256-9282;
[4] CHU S.S., ZHU L., SUN H.F., et al. Automated volcanic hot-spot detection based on FY-4A/AGRI infrared data, International Journal of Remote Sensing, 2020, 41(6):2410-2438;
[5] ZHAO F.H., XIA J.W., ZHU L., SUN H.F., ZHAO D.X. Retrieval of Volcanic Ash Cloud Base Height Using Machine Learning Algorithms, Atmosphere, 2023, 14, 228.
[6] Hongfu Sun, Fenghua Zhao, Meng Zhang et al. 2012. Behavior of rare earth elements in acid coal mine drainage in Shanxi Province, China, Environmental Earth Science, 67(1):205-213.