Technique for modelling flooding zones of coastal areas in the cascade of hydroelectric power stations on the Angara river
Авторы: Gachenko A.S., Hmelnov A.E.
Журнал: IOP Conference Series: Earth and Environmental Science: Материалы Междунар. конф. "Environmental transformation and sustainable development in the Asian region" (Irkutsk, 8-10 September 2020)
Отчётный год: 2020
Местоположение издательства: Иркутск
Аннотация: This article presents the method for modelling underwater three-dimensional topography and it's combining with terrain under conditions of incomplete source data. The technique for constructing 3D elevation model was tested within the research projects conducted in Matrosov Institute for System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences in collaboration with colleagues from other research institutes of Irkutsk Scientific Center under the comprehensive studies of Lake Baikal, the Angara River and the Bratsk Reservoir. We present an algorithm for combining underwater topography with terrain based on heterogeneous source data using the Delaunay triangulation. The combining yields a high-quality 3D elevation model. This model can be used to make forecasts of the changes in the coastlines of reservoirs, which are associated with water discharges from hydroelectric power stations. The described technique was used to solve some practical problems and showed its effectiveness. To combine the data on the terrain and underwater topography, we developed a special software using the Delaunay triangulation algorithms. For data layers, their roles were indicated during the triangulation. Layers contained the information about terrain, watermarks, contours of the coastline, and underwater topography. For underwater topography, we used the information about the marks of the water edge. Based on these data, we built an additional triangulation, from which we subsequently obtained the information about heights because contours of coastlines are confined to heights, and depths are measured relative to heights. As a result of this study, we processed some settlements and estimated possible flooding.
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