Experimental Study of Sediment Transport in Vegetated and Meandering Channels Jon Schmidt Mentor: Dr. Jennifer Duan Department of Civil Engineering & Engineering.

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Presentation transcript:

Experimental Study of Sediment Transport in Vegetated and Meandering Channels Jon Schmidt Mentor: Dr. Jennifer Duan Department of Civil Engineering & Engineering Mechanics Arizona Space Grant Symposium Tempe, AZ 17 April

Temporal Geomorphology Location: Barry M. Goldwater Air Force Range (BMGR) Meandering Systems and Alluvial Fans Devegetation  Erosion 5000m300m 2

Objective Conduct a temporal geomorphological analysis to forecast bed movement using remote monitoring and numerical methods in order to provide BMGR with rehabilitative and preventative road maintenance solutions. Fig. 1 Area of interest showing channelization across road 3

Our Response Stereoscopic Digital Elevation Modeling (DEM) – Close and Long Range Camera Theory – Pinhole Model/2D imaging of a 3D world Figs 1-1, 12-5, OpenCV Learning, (Bradley & Kaehler) 4

Camera Apparatus Weatherproof Energy Efficient Field of View 5 Camera WindowAccess holes and Solar Panel

Disparity Mapping (Close Range) + Left Right Disparity Map L/R image pairs produce one disparity map representing 3D space 6

Disparity Mapping (Long Range) Excessive ‘noise’ due to: Surface Roughness Camera Quality 7

Conclusions & Future Work Inverse proportionality of accuracy and range, and high-order indeterminacy due to camera parameters and distortions make extremely precise DEMs impractical for application on large spatial, and temporal, scales. Interpolation using a physical grid of reference markers is adequate for our application and for projects with similar intents and parameters. 8

Acknowledgments Susan A. Brew, Manager AZ Space Grant Consortium and UA Programs and the UA Space Grant Staff Mentor: Dr. Jennifer Duan Team and Coaches: Chunshui Yu, Bai Yang, Jaeho Shim, Michael Potucek AZSGC Barry M. Goldwater Air Force Range 9

Sources Bradski, Gary R., and Adrian Kaehler. Learning OpenCV: Computer Vision with the OpenCV Library. Sebastopol, CA: O'Reilly, Print. Wu, Weiming. Computational River Dynamics. London: Taylor & Francis, Print. 10

Thank you! 11