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Numerical Study of Discharge Adjustment Effects on Reservoir Morphodynamics and Flushing Efficiency: An Outlook for the Unazuki Reservoir, Japan
 
 
Article

Experimental Study Demonstrating a Cost-Effective Approach for Generating 3D-Enhanced Models of Sediment Flushing Cones Using Model-Based SFM Photogrammetry

1
Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman 76169-13439, Iran
2
Disaster Prevention Research Institute (DPRI), Kyoto University, Uji, Kyoto 611-0011, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Aizhong Ye
Water 2022, 14(10), 1588; https://doi.org/10.3390/w14101588
Received: 25 April 2022 / Revised: 12 May 2022 / Accepted: 13 May 2022 / Published: 16 May 2022
(This article belongs to the Special Issue Sediment Transport and River Morphology)
Accurate measurements of sediment flushing cone geometry (SFCG) are essential for determining sediment removal efficiency in reservoirs. SFCG measurements are related to the point-to-point height that affects bathymetry accuracy, and they are used to develop a digital elevation model (DEM). Conventional bathymetry monitoring techniques require a longer time for data processing and output data with insufficient accuracy despite being inexpensive and simple. In the current research, a close-range photogrammetric method called the structure from motion (SFM) method was investigated to determine the SFCG in an experimental study. The regular geometric shape of a cube was used to verify the SFM. Additionally, measurements between model control points (MCPs) on the flushed sediment bed were compared with those from the SFM method. The results indicated that the calculated SFM values were consistent with the measured values. To determine the SFCG, two sets of images were captured with 70% average overlapping before and after the completion of each test. After processing and post-processing via the SFM tool AgiSoft Metashape, a georeferenced 3D model was achieved. The accuracy of the surveyed data in terms of the dimensions, cross-sections, and temporal developments of the sediment flushing cone was investigated to verify the SFM method. Finally, the results revealed good agreement (R2=0.99 and average error of 0.03–0.74 mm) between the DEMs created by the SFM method and the actual model. View Full-Text
Keywords: close-range photogrammetry; digital elevation model; sediment flushing cone; structure from motion close-range photogrammetry; digital elevation model; sediment flushing cone; structure from motion
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MDPI and ACS Style

Haghjouei, H.; Kantoush, S.A.; Beiramipour, S.; Rahimpour, M.; Qaderi, K. Experimental Study Demonstrating a Cost-Effective Approach for Generating 3D-Enhanced Models of Sediment Flushing Cones Using Model-Based SFM Photogrammetry. Water 2022, 14, 1588. https://doi.org/10.3390/w14101588

AMA Style

Haghjouei H, Kantoush SA, Beiramipour S, Rahimpour M, Qaderi K. Experimental Study Demonstrating a Cost-Effective Approach for Generating 3D-Enhanced Models of Sediment Flushing Cones Using Model-Based SFM Photogrammetry. Water. 2022; 14(10):1588. https://doi.org/10.3390/w14101588

Chicago/Turabian Style

Haghjouei, Hadi, Sameh A. Kantoush, Sepideh Beiramipour, Majid Rahimpour, and Kourosh Qaderi. 2022. "Experimental Study Demonstrating a Cost-Effective Approach for Generating 3D-Enhanced Models of Sediment Flushing Cones Using Model-Based SFM Photogrammetry" Water 14, no. 10: 1588. https://doi.org/10.3390/w14101588

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