Yang Song

Hydrodynamic Modeler

4840 South State Street
Ann Arbor, MI 48108



Dr. Yang Song is a hydrodynamic modeler working with Dr. Ayumi Fujisaki-Manome and the climate modeling team at NOAA GLERL to advance the understanding of oil spill processes in the Great Lakes. Before joining CIGLR, he focused on using numerical tools to address algal bloom and water quality problems in reservoirs and rivers. He also did a modeling study for Karlodinium blooms in the Chesapeake Bay during his visit at University of Maryland Center for Environmental Science (UMCES). For journal services, Dr. Song is a reviewer for Science of the Total Environment, Ecological Modeling, and the Journal of Hydrology, etc.


  • Ph.D. in Hydraulics and River Dynamics, Sichuan University, 2020
  • Visiting Ph.D. student, University of Maryland Center for Environmental Science, 2019
  • Visiting Ph.D. student, University of Minnesota, 2018
  • B.S. in Hydraulic and Hydro-Power Engineering, North China University of Water Resources and Electric Power, 2013
Research Interest/Area of Expertise:
  • Hydrodynamic modeling
  • Water quality modeling
  • Harmful algal blooms and eutrophication
  • Multiobjective optimization
  • Phytoremediation.



Song, Y. (2023). Hydrodynamic impacts on algal blooms in reservoirs and bloom mitigation using reservoir operation strategies: A review. Journal of Hydrology, 620, 129375. (DOI:10.1016/j.jhydrol.2023.129375). [Altmetric Score]

Song, Y., Chen, M., Li, J., Zhang, L. L., Deng, Y., Chen, J. C. (2023). Can selective withdrawal control algal blooms in reservoirs? The underly hydrodynamic mechanism. Journal of Cleaner Production, 394, 136358. (DOI:10.1016/j.jclepro.2023.136358). [Altmetric Score]

Song, Y., You, L.H., Chen, M., Li, J., Zhang, L.L., Peng, T. (2023). Key hydrodynamic principles for controlling algal blooms using emergency reservoir operation strategies. Journal of Environmental Management, 325, 116470. (DOI:10.1016/j.jenvman.2022.116470).

Song, Y., Shen, L., Zhang, L.L., Li, J., Chen, M. (2021). Study of a hydrodynamic threshold system for controlling dinoflagellate blooms in reservoirs. Environmental Pollution, 278, 116822. (DOI:10.1016/j.envpol.2021.116822). [Altmetric Score]

Song, Y., Zhang, L.L., Li, J., Chen, M., Zhang, Y.W. (2018). Mechanism of the influence of hydrodynamics on Microcystis aeruginosa, a dominant bloom species in reservoirs. Science of the Total Environment, 636, 230- 239. (DOI:10.1016/j.scitotenv.2018.04.257).

All Publications



Song, Y. (November 2021). Make the reservoir clear again: understanding and preventing algal blooms. Chongqing Jiaotong University, Chongqing, China. (Invited talk)

Song, Y., Li J., Zhang, L. L., Chen, M., Glibert, P. M., Yang, S. F. (July 2021). Key hydrodynamic indicator for implementing reservoir ecological operations to control dinoflagellate blooms in reservoirs. 2nd International Symposium of Water Disaster Mitigation and Water Environment Regulation, Chengdu, China. (Oral presentation)

Song, Y. (January 2021). Hydrodynamic mechanism of dinoflagellate blooms in reservoirs and controlling blooms through reservoir ecological operations. Hohai University, Nanjing , China. (Invited talk)

All Presentations