Abstract
The objective of this study is implementation of system architecture for collecting and analysing data as well as visualizing results for hydrodynamic modelling of flood flows in river valleys using remote sensing methods, tree-dimensional geometry of spatial objects and GPU multithread processing. The proposed solution includes: spatial data acquisition segment, data processing and transformation, mathematical modelling of flow phenomena and results visualization. Data acquisition segment was based on aerial laser scanning supplemented by images in visible range. Vector data creation was based on automatic and semiautomatic algorithms of DTM and 3D spatial features modelling. Algorithms for buildings and vegetation geometry modelling were proposed or adopted from literature. The implementation of the framework was designed as modular software using open specifications and partially reusing open source projects. The database structure for gathering and sharing vector data, including flood modelling results, was created using PostgreSQL. For the internal structure of feature classes of spatial objects in a database, the CityGML standard was used. For the hydrodynamic modelling the solutions of Navier-Stokes equations in two-dimensional version was implemented. Visualization of geospatial data and flow model results was transferred to the client side application. This gave the independence from server hardware platform. A real-world case in Poland, which is a part of Widawa River valley near Wroclaw city, was selected to demonstrate the applicability of proposed system.
Highlights
1.1 MotivationIn recent years a number of implementations in the field of spatial data acquisition have been carried out, usually in the form of point sets or close-range photogrammetric images
They are used for 3D spatial data infrastructure development
The geometry of the valleys and the riverbed in these models is represented with the use of the DTM (2.5D geometry) whereas the roughness coefficients, which amongst others include resistance associated with vegetation, are presented in a spatial manner by referring them to the individual meshes of DTM grid
Summary
In recent years a number of implementations in the field of spatial data acquisition have been carried out, usually in the form of point sets or close-range photogrammetric images. Modern measurement techniques used in geodesy and in remote sensing allow for the creation of three-dimensional models of space that are more effective in reflecting the reality than still more frequently used spatial models which have the form of two-dimensional maps and spatial information systems. This applies to objects such as buildings and structures or vegetation.
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