RUS  ENG
Full version
JOURNALS // Mathematical Physics and Computer Simulation // Archive

Mathematical Physics and Computer Simulation, 2018 Volume 21, Issue 2, Pages 59–74 (Mi vvgum230)

This article is cited in 1 paper

Modeling, informatics and management

Program complex for simulation modeling of hydrotechnical projects in floodplain terrains

A. Vasilchenko, A. A. Voronin, K. E. Dubinko, I. I. Isaeva

Volgograd State University

Abstract: The software complex is designed to investigate the possibilities and efciency of hydrotechnical projects in foodplain areas by the geoinformation and hydrodynamic modeling technologies. The complex has the properties of data extensibility, algorithms and tasks implemented through extensible databases, modularity and frame structure of computer programs.
The structure is described as a set of three complex modules: state, projects, and research. The state module includes: a three-species zoning module (hydrological, socioeconomic, biospheric), a channel structure module, a module for calculating aggregated dependencies by zones and the whole territory. The state module also includes three external modules: the construction of a digital terrain model, the calculation of flood dynamics, the construction of a digital cadastral map. The project module includes 6 submodules: setting parameters, changing the state, optimizing, calculating the results, evaluating the efciency and costs, selecting the option. The research module consists of: a module for constructing a virtual digital model with a channel structure, a module for calculating additional parameters, a module of virtual projects.
A series of computational experiments has been carried out: modeling the implementation of projects to restore small VAP channels, establishing the optimal depth of VAP channels, determining the dynamics of water in the channels, checking the adequacy of the algorithms of the software modules.

Keywords: simulation modeling, floodplain terrains, The Volga-Akhtuba floodplain, hydrotechnical projects, optimization.

UDC: 519.6
BBK: 22.19+20.1

DOI: 10.15688/mpcm.jvolsu.2018.2.5



© Steklov Math. Inst. of RAS, 2024