Ph.D., Marine Science. 2014. VIMS, College of William & Mary, Williamsburg, VA.
M.S., Environmental Science. 2009. Christopher Newport University, Newport News, VA.
B.S., Biology. 2007. Christopher Newport University, Newport News, VA.
Minors: Chemistry and Leadership Studies
I'm generally interested in hydrodynamic modeling applications related to coastal inundation caused by storm surge or heavy precipitation events, new utilitarian methods of flooding extent verification via thermal infrared imaging drones and crowd-sourcing mobile applications such as the Sea Level Rise App (iOS / Android), and the geospatial analysis methods involved with statistically evaluating flood model predictions. I currently lead the StormSense Project in the Greater Hampton Roads Region of Tidewater Virginia, an inundation forecasting research initiative to enhance emergency preparedness for flooding resulting from storm surge, rain, and tides. The scope of the project encompasses the interests of coastal local governments wishing to enhance their flood response efforts via a network of 'Internet of Things' (IoT)-enabled bridge-mounted ultrasonic water level sensors. The new suite of sensors installed by the Cities of Hampton Roads may one day be integrated with the VIMS TideWatch Network to enhance the reach of the existing tidal prediction network for improved geospatial flood predictions throughout the lower Chesapeake Bay when coupled with the hydrodynamic flood modeling and forecasting capabilities of our Sub-Grid Model in Hampton Roads.
I also evaluate the impacts of point source and non-point source nutrient loading and pollution using water quality models to evaluate their implications for the health of coastal bays of the United States including the Chesapeake Bay and its many tributaries. More detailed information regarding my research experience is available in my CV.
My Recent Storm Surge and High Resolution Inundation Modeling Applications:
Loftis, J.D., Wang, H.V., Hamilton, S.E., and Forrest, D.R. (2016). Combination of Lidar Elevations, Bathymetric Data, and Urban Infrastructure in a Sub-Grid Model for Predicting Inundation in New York City during Hurricane Sandy. Computers, Environment, and Urban Systems. (In Re-Review). Preprint PDF
Loftis, J.D., Wang, H.V., DeYoung, R.J., and Ball, W.B. (2016). Using Lidar Elevation Data to Develop a Topobathymetric Digital Elevation Model for Sub-Grid Inundation Modeling at Langley Research Center. Journal of Coastal Research, SI. (In Press). PDF
Wang, H., Loftis, J.D., Forrest, D., Smith, W., and Stamey, B. (2015). Modeling Storm Surge and inundation in Washington, D.C., during Hurricane Isabel and the 1936 Potomac River Great Flood. Journal of Marine Science and Engineering, 3(3), 607-629. PDF
Loftis, J.D. (2014). Development of a Large-Scale Storm Surge and High-Resolution Sub-Grid Inundation Model for Coastal Flooding Applications: A Case Study During Hurricane Sandy. Ph.D. Dissertation. College of William & Mary. PDF
Wang, H., Loftis, J.D., Liu, Z., Forrest, D., and Zhang, J. (2014). Storm Surge and Sub-Grid Inundation Modeling in New York City during Hurricane Sandy. Journal of Marine Science and Engineering, 2(1), 226-246. PDF
Loftis, J.D., Wang, H., and DeYoung, R. (2013). Storm Surge and Inundation Modeling in the Back River Watershed for NASA Langley Research Center. NASA Technical Report: NASA/TM-2013-218046. PDF
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