A process-oriented field scientist focused on finding applied and practical solutions to water resources and hydrodynamic related issues.
Frank Engel is a Geographer with the U.S. Geological Survey (USGS), specializing in fluvial geomorphology and the implementation of cutting-edge research applications into operational science. He focuses his research on process-oriented field studies of fluvial environments, with a heavy emphasis on the applications of his findings on river management decisions. Of particular interest to him is how current research advances in non-contact measurements of riverine hydraulic parameters can be operationalized in the USGS for day to day gaging and project applications. Dr. Engel is advocating for the use of camera and radar sensors to measure hydraulic parameters at USGS streamgages or elsewhere to enable increased observation of our surface water networks. Moreover, with the growing adoption of cloud infrastructure and Internet of Things (IoT) architecture, Dr. Engel is working toward the development of cloud-based imagery and remote sensing data processing and persistence frameworks. Using IoT and "at the edge" computing power is a new frontier in the USGS, and shows great potential to bring our water observation approach into the next generation.
As chair of the USGS Water Mission Area (WMA) Surface Velocity Workgroup, Dr. Engel and his colleagues aim to coordinate the national USGS effort at implementing novel non-contact flow measurement techniques including Image Velocimetry and Surface Velocity Radar (SVR) for stream gaging and research purposes. Dr. Engel's goal is to inform planning and decision making in watershed management, stream restoration, and naturalization projects through applied research.
Frank is also working to pioneer use of Unmanned Aerial Systems (UAS) for response to water emergencies, including the application of UAS to measure flood inundation in near real-time, as well as deriving flow velocities and other hydraulic parameters with Image Velocimetry and other computer vision techniques for use in flood event and emergency response.
By leveraging a full and increasing suite of non-contact tools & capabilities, Dr. Engel wants to enable the USGS to increase process understanding from water source to sink, provide better situational awareness during emergency response to floods, and advance the cutting edge of water science.
Science and Products
Science and Products
Pre-USGS PublicationsDespax, A., Le Coz, J., Hauet, A., Mueller, D. S., Engel, F. L., Blanquart, B., Renard, B., and Oberg, K.A., 2019, Decomposition of uncertainty sources in acoustic Doppler current profiler streamflow measurements using repeated measures experiments. Water Resources Research, 55, 7520–7540. https://doi.org/10.1029/2019WR025296.Engel, F. L., and Rhoads, B. L. (2017). Velocity profiles and the structure of turbulence at the outer bank of a compound meander bend, Geomorphology, 295, 191–201. doi:10.1016/j.geomorph.2017.06.018.Engel, F. L., and Rhoads, B. L. (2016). Three-dimensional flow structure and patterns of Bed shear stress in an evolving compound meander bend. Earth Surface Processes and Landforms, 1226(Feb). doi:10.1002/esp.3895Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Riley, J. D. (2013). Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements. Earth Surface Processes and Landforms, 38(11), 1244–1260. doi:10.1002/esp.3367Engel, F. L., and Rhoads, B. L. (2012). Interaction among mean flow, turbulence, bed morphology, bank failures and channel planform in an evolving compound meander loop. Geomorphology, 163-164, 70–83. doi:10.1016/j.geomorph.2011.05.026