THE USE OF UNMANNED AERIAL VEHICLES FOR MONITORING THE CONDITION OF OWNERLESS FLOOD CONTROL HYDRAULIC STRUCTURES OF THE TRANS-BAIKAL TERRITORY
There are a large number of ownerless flood control protective hydraulic structures built without proper design and correct observance of the production technology in the Trans-Baikal Territory. Some dams do not have owners and are not registered in the «Register of hydraulic structures», their condition and mode of use are not controlled. During operation, protective dams are subjected to mechanical and hydrodynamic influences, which carries an increased risk of additional damage due to the overestimated level of protection of the territories. It is necessary to take into account such structures in order to make recommendations for their further use or repair.
This article describes the experience of using unmanned aerial vehicles (UAVs) for examining ownerless flood control protective hydraulic structures of the Trans-Baikal Territory. The scheme of conducting such surveys, which includes several stages, is considered. At the initial stage, the installation of ground reference points markers and their coordination is required. Then, the UAV is circled over the territory and a series of photographs is taken. The next step involves photogrammetric processing of the survey data and obtaining spatially-linked terrain and orthomosaic models, which are then analyzed to identify structural defects.
The use of UAVs during the inspection of flood control structures demonstrated the possibility of a better assessment of their condition compared to traditional instrumental observation methods. To obtain the best result in the simulation, it is recommended to shoot from a height of not more than 200 m and use coordinated reference points that are visible from the air to bind the model to the coordinate system. In this case, the error in determining the elevation of the earth’s surface will not exceed the spatial resolution of the image. The location of the control points does not significantly affect the accuracy of determining the terrain model.
James M.R., Robson S. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. Journal of Geophysical Research Atmospheres, 2012, vol. 117, iss. F3, p. F03017. DOI: 10.1029/2011JF002289
Khaloo A., Lattanzi D., Jachimowicz A., Devaney C. Utilizing UAV and 3D computer vision for visual inspection of a large gravity dam. Frontiers in Built Environment, 2018, vol. 4, art. 31. DOI: 10.3389/fbuil.2018.00031
Kurganovich K.A., Shalikovskiy A.V., Kurganovich N.A., Golyatina M.A. Opyt primeneniya dannykh distantsionnogo zondirovaniya Zemli i bespilotnykh letatel'nykh apparatov dlya resheniya vodokhozyaistvennykh zadach [The practical experience of remote sensing and unmanned aerial vehicles using for water management tasks solution]. Sbornik materialov Chetyrnadtsatogo Mezhdunarodnogo nauchno-prakticheskogo simpoziuma i vystavki “Chistaya voda Rossii” (g. Ekaterinburg, 18-20 aprelya 2017) [Proceedings of XIV International scientific-practical symposium and exhibition “Clean Water of Russia” (Ekaterinburg, April 18-20, 2017)], Ekaterinburg, 2017, pp. 58–62 (In Russian; abstract in English)
Ridolfi E., Buffi G., Venturi S., Manciola P. Accuracy analysis of a dam model from drone surveys. Sensors, 2017, vol. 17, iss. 8, p. 1777. DOI: 10.3390/s17081777
Shalikovskiy A., Kurganovich K. Flood hazard and risk assessment in Russia. Natural Hazards, 2017, vol. 88, iss. S1, pp. 133-147. DOI: 10.1007/s11069-016-2681-6
Shalikovskiy A.V., Kurganovich K.A. Otsenka opasnosti i riska khozyaistvennogo ispol'zovaniya rechnykh poim basseina Verkhnego i Srednego Amura [Hazard and risk assessment for commercial use of the Upper and Middle Amur basin floodplains]. Vestnik Chitinskogo gosudarstvennogo universiteta [Chita State University Journal], 2011, vol. 11 (78), pp. 119-124. (In Russian; abstract in English)
Szeliski R. Computer vision: algorithms and applications. Available at: http://szeliski.org/Book/
Ullman S. The interpretation of structure from motion. Proceedings of Royal Society London Biological Sciences, 1979, vol. 203, iss. 1153, pp. 405-426. DOI: 10.1098/rspb.1979.0006
Westoby M.J., Brasington J., Glasser N.F., Hambrey M.J., Reynolds J.M. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 2012, vol. 179, pp. 300–314. DOI: 10.1016/j.geomorph.2012.08.021
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