GoMRI

Investigating the effect of oil spills
on the environment and public health.

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Chao Ji

University of Miami

Department of Civil, Architectural and Environmental Engineering

1251 Memorial Drive
McArthur Engineering Building
Coral Gables, Fl 33146

cxj357@miami.edu

Project List:

Inferential/Parametric Forecasting of Subsurface Oil Trajectory Integrating Limited Reconnaissance Data with Flow Field Information for Emergency Response

Year 8-10 Research Grants (RFP-VI)Role: Project Data Point of Contact, Outreach Team, Research Staff, Graduate Student - PhD Level, Data Team, GoMRI Scholar

Publications & Presentations:

Journal Articles - 3
2020
Ji, C., Beegle-Krause, C. J., & Englehardt, J. D. (2020). Formation, Detection, and Modeling of Submerged Oil: A Review. Jmse, 8(9), 642.
Ji, C., Englehardt, J. D., & Beegle-Krause, C. J. (2020). Design of Real-Time Sampling Strategies for Submerged Oil Based on Probabilistic Model Predictions. Jmse, 8(12), 984.
2019
Jacketti, M., Ji, C., Englehardt, J. D., & Beegle-Krause, C. J. (2019). Development of the SOSim Model for Inferential Tracking of Subsurface Oil. Proceedings of the Forty-second AMOP Technical Seminar, Environment and Climate Change Canada, Otta, , 485–501.
Conference Presentations - 5
2020
Ji, C., Englehardt, J., & Beegle-Krause, C. J. (2020). SOSim: A Probabilistic Bayesian Model for Submerged Oil Tracking. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2020. Tampa, FL : 02/03/20-02/06/20: Poster.
2019
Jacketti, M., Englehardt, J., Beegle-Krause, C. J., & Ji, C. (2019). Development of SOSim model for inferrential tracking of sunken oil. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019. New Orleans, LA : 02/04/19-02/07/19: Poster.
Jacketti, M., Ji, C., Englehardt, J., & Beegle-Krause, C. J. (2019). Development of the SOSim Model for Inferential Tracking of Subsurface Oil. In 42nd AMOP Technical Seminar on Environmental Contamination and Response. Ottawa, Canada : 06/04/19-06/06/19.
Ji, C., Englehardt, J., Beegle-Krause, C. J., & Jacketti, M. (2019). Inferential forecasting of submerged oil trajectory: a predictive Bayesian multi-modal Gaussian model. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019. New Orleans, LA : 02/04/19-02/07/19: Poster.
2018
Jacketti, M., Ji, C., & Englehardt, J. (2018). Inferential/Parametric Forecasting of Subsurface Oil Trajectory Integrating Limited Reconnaissance Data with Flow Field Information for Emergency Response. In First Annual University of Miami College of Engineering (UMCoE) Research Day. Coral Gables, FL : 09/07/18-09/07/18: Poster.