Qubin Qin

Assistant Professor
Department of Coastal Studies

Department of Coastal Studies



Dr. Qubin Qin earned his Ph.D. in marine science from the Virginia Institute of Marine Science (VIMS) at William & Mary in 2019. Since August 2023, he has been an Assistant Professor in the Department of Coastal Studies at East Carolina University. Much of his research involves analytical theory, data analyses, and the development and simulation of numerical models. One of his primary research goals is to generate scientific insights that can be effectively applied to address real-world challenges in estuarine and coastal environments. His research provides advisory services to federal, state, and local agencies, aiding in the management of coastal and estuarine water quality issues affected by climate change and human activities.



B.S. Geographical Sciences, Nanjing University, 2010

M.S. Marine Science, Virginia Institute of Marine Science, William & Mary, 2013

Ph.D. Marine Science, Virginia Institute of Marine Science, William & Mary, 2019


Research Interests

Dr. Qin’s research covers a broad range of topics, such as physical transport processes, physical-biological interactions, coastal environmental issues (e.g., eutrophication, hypoxia, harmful algal blooms, saltwater intrusion, contaminants, pathogen pollution, stormwater pollution, habitat degradation, and conservation of living resources), and model development (including analytical, process-based, habitat, particle-tracking, and data-driven/machine learning models).


Selected Publications

Please feel free to email me (qinq23@ecu.edu) for pdf copies of any of the following publications:

Cai, X., Shen, J., Zhang, Y. J., Qin, Q., and Linker, L. C. (2023). Impacts of sea-level rise on the tidal marshes and estuarine biochemical processes. Journal of Geophysical Research Biogeosciences, e2023JG007450. https://doi.org/10.1029/2023JG007450

Cai, X., Shen, J., Zhang, Y. J., Qin, Q., and Linker, L. C. (2023). The Roles of Tidal Marshes in the Estuarine Biochemical Processes: A Numerical Modeling Study. Journal of Geophysical Research Biogeosciences, 128(2), e2022JG007066. https://doi.org/10.1029/2022JG007066

Xiong, J., Shen, J., Qin, Q., Tomlinson, M. C., Zhang, Y. J., Cai, X., Ye, F., Cui, L. and Mulholland, M. R., 2023. Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration. Limnology and Oceanography Letters, 8(3), 498-508. https://doi.org/10.1002/lol2.10308

Qin, Q., Shen, J., and Reece, K. S. (2022). A deterministic model for understanding nonlinear viral dynamics in oysters. Applied and Environmental Microbiology, 88(8): e02360-21. https://doi.org/10.1128/aem.02360-21

Qin, Q., Shen, J., Tuckey, T. D., Cai, X., and Xiong, J. (2022). Using forward and backward particle tracking approaches to analyze impacts of a water intake on ichthyoplankton mortality in the Appomattox River. Journal of Marine Science and Engineering, 10(9): 1299. https://doi.org/10.3390/jmse10091299

Cai, X., Shen, J., Zhang, J. Y., Qin, Q., Wang, Z., and Wang, H. (2022). Impacts of Sea-Level Rise on Hypoxia and Phytoplankton Production in Chesapeake Bay: Model Prediction and Assessment. Journal of the American Water Resources Association, 58(6): 922-939. https://doi.org/10.1111/1752-1688.12921

Cai, X., Qin, Q., Shen, J., and Zhang, Y. J. (2022). Bifurcate responses of tidal range to sea‐level rise in estuaries with marsh evolution. Limnology and Oceanography Letters, 7(3): 210-217. https://doi.org/10.1002/lol2.10256

Cai, X., Zhang, J. Y., Shen, J., Wang, H., Wang, Z., Qin, Q., and Ye F. (2022). Numerical study of hypoxia in Chesapeake Bay using an unstructured grid model: validation and assessment. Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.12887

Qin, Q., and Shen, J. (2021). Applying transport rate for quantifying local transport conditions in coastal systems. Journal of Marine Systems, 218: 103542. https://doi.org/10.1016/j.jmarsys.2021.103542

Qin, Q., and Shen, J. (2021). Typical relationships between phytoplankton biomass and transport time in river-dominated coastal aquatic systems. Limnology and Oceanography, 66(8): 3209-3220. https://doi.org/10.1002/lno.11874

Qin, Q., Shen, J., Reece, K. S., and Mulholland, M. R. (2021). Developing a 3D mechanistic model for examining factors contributing to harmful blooms of Margalefidinium polykrikoides in a temperate estuary. Harmful Algae, 105: 102055. https://doi.org/10.1016/j.hal.2021.102055

Xiong, J., Shen, J., Qin, Q. (2021). Exchange flow and material transport along the salinity gradient of a long estuary. Journal of Geophysical Research: Oceans, 126(5):e2021JC017185. https://doi.org/10.1029/2021JC017185

Xiong, J., Shen, J., Qin, Q., and Du, J. (2021). Water exchange and its relationships with external forcings and residence time in Chesapeake Bay. Journal of Marine Systems, 215: 103497. https://doi.org/10.1016/j.jmarsys.2020.103497

Qin, Q., and Shen, J. (2019). Physical transport affects the origins of harmful algal bloom in estuaries. Harmful Algae, 84: 210-221. https://doi.org/10.1016/j.hal.2019.04.002

Qin, Q., and Shen, J. (2019). Pelagic contribution to gross primary production dynamics in shallow areas of York River, VA, USA. Limnology and Oceanography, 64(4): 1484-1499. https://doi.org/10.1002/lno.11129

Shen, J., Qin, Q., Wang, Y., and Sisson, M. (2019). A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading. Ecological Modeling, 398: 44-54. https://doi.org/10.1016/j.ecolmodel.2019.02.005

Qin, Q., and Shen, J. (2017). The contribution of local and transport processes to phytoplankton biomass variability over different timescales in the Upper James River, Virginia. Estuarine, Coastal and Shelf Science, 196: 123-133. https://doi.org/10.1016/j.ecss.2017.06.037