Decision Support System for Urbanization of the Northern Part of the Volga-Akhtuba Floodplain (Russia) on the Basis of Interdisciplinary Computer Modeling

Voronin, A. A.; Isaeva, Inessa I.; Хоперсков, А. В.; Grebenjuk, Sergey

doi:10.1007/978-3-319-65551-2_30

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…The subsequent natural or natural-technogenic change in the H-structure causes a decrease in the efficiency of the F -structure of the floodplain area. The presence of a forecast of long-term changes in the H-structure makes it possible to design strategies for the socioeconomic development of the floodplain ESES, whose purpose is to restore and maintain a balance between the H-structure and F -structure of the territory through the coordination of hydrotechnical projects and socio-economic development projects [7,9,74,75].…”

Section: Modeling the Floodplain Territorial Structure: Methods Instr...mentioning

confidence: 99%

“…They are degraded due to violations of land-use regulations and changes in the characteristics of natural flood events that ensure the existence of such unique areas [1][2][3][4][5]. The state of river floodplains depends mainly on the nature of their flooding, whose hydrological regime is determined by the spring flood volume, a channel structure and a relief of the territory [1,[6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Territorial Structure Dynamics of the Northern Part of the Volga-Akhtuba Floodplain

et al. 2022

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The subject of our study is the tendency to reduce the floodplain area of regulated rivers and its impact on the degradation of the socio-environmental systems in the floodplain. The aim of the work is to create a new approach to the analysis and forecasting of the multidimensional degradation processes of floodplain territories under the influence of natural and technogenic factors. This approach uses methods of hydrodynamic and geoinformation modeling, statistical analysis of observational data and results of high-performance computational experiments. The basis of our approach is the dynamics model of the complex structure of the floodplain. This structure combines the characteristics of the frequency ranges of flooding and the socio-environmental features of various sites (cadastral data of land use). Modeling of the hydrological regime is based on numerical shallow water models. The regression model of the technogenic dynamics of the riverbed allowed us to calculate corrections to the parameters of real floods that imitate the effect of this factor. This made it possible to use digital maps of the modern topography for hydrodynamic modeling and the construction of floods maps for past and future decades. The technological basis of our study is a set of algorithms and software, consisting of three modules. The data module includes, first of all, the cadastres of the territory of the Volga-Akhtuba floodplain (VAF, this floodplain is the interfluve of the Volga and Akhtuba rivers for the last 400 km before flowing into the Caspian Sea), satellite and natural observation data, spatial distributions of parameters of geoinformation and hydrodynamic models. The second module provides the construction of a multilayer digital model of the floodplain area, digital maps of floods and their aggregated characteristics. The third module calculates a complex territorial structure, criteria for the state of the environmental and socio-economic system (ESES) and a forecast of its changes. We have shown that the degradation of the ESES of the northern part of the VAF is caused by the negative dynamics of the hydrological structure of its territory, due to the technogenic influence the hydroelectric power station on the Volga riverbed. This dynamic manifests itself in a decrease in the stable flooded area and an increase in the unflooded and unstable flooded areas. An important result is the forecast of the complex territorial structure and criteria for the state of the interfluve until 2050.

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Section: Modeling the Floodplain Territorial Structure: Methods Instr...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling the Territorial Structure Dynamics of the Northern Part of the Volga-Akhtuba Floodplain

et al. 2022

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“…One important research area is the creation of decision support systems (DSS) for solving various hydrological problems, and the effectiveness of these DSS is determined by the quality of the applied digital elevation models (DEM) [7,8,9]. Such DSS belong to the class of Spatial Decision-Support System, which combine standard decision-making tools with geographic information systems, providing new opportunities for water resources management [4,10], city and regional planning, real-time decision-making for land management [11], transportation engineering [12], protecting the natural resources in conditions of increasing human pressures on the ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Creation of digital elevation models for river floodplains

Klikunova

Хоперсков

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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A procedure for constructing a digital elevation model (DEM) of the northern part of the Volga-Akhtuba interfluve is described. The basis of our DEM is the elevation matrix of Shuttle Radar Topography Mission (SRTM) for which we carried out the refinement and updating of spatial data using satellite imagery, GPS data, depth measurements of the River Volga and River Akhtuba stream beds. The most important source of high-altitude data for the Volga-Akhtuba floodplain (VAF) can be the results of observations of the coastlines dynamics of small reservoirs (lakes, eriks, small channels) arising in the process of spring flooding and disappearing during low-flow periods. A set of digitized coastlines at different times of flooding can significantly improve the quality of the DEM. The method of constructing a digital elevation model includes an iterative procedure that uses the results of morphostructural analysis of the DEM and the numerical hydrodynamic simulations of the VAF flooding based on the shallow water model. 0 Cite as: Klikunova A.Yu., Khoperskov A.V. Creation of digital elevation models for river floodplains // CEUR

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Bottom friction models for shallow water equations: Manning’s roughness coefficient and small-scale bottom heterogeneity

Dyakonova¹,

Хоперсков²

2018

J. Phys.: Conf. Ser.

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The correct description of the surface water dynamics in the model of shallow water requires accounting for friction. To simulate a channel flow in the Chezy model the constant Manning roughness coefficient is frequently used. The Manning coefficient nM is an integral parameter which accounts for a large number of physical factors determining the flow braking. We used computational simulations in a shallow water model to determine the relationship between the Manning coefficient and the parameters of small-scale perturbations of a bottom in a long channel. Comparing the transverse water velocity profiles in the channel obtained in the models with a perturbed bottom without bottom friction and with bottom friction on a smooth bottom, we constructed the dependence of nM on the amplitude and spatial scale of perturbation of the bottom relief.

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Decision Support System for Urbanization of the Northern Part of the Volga-Akhtuba Floodplain (Russia) on the Basis of Interdisciplinary Computer Modeling

Cited by 7 publications

References 10 publications

Modeling the Territorial Structure Dynamics of the Northern Part of the Volga-Akhtuba Floodplain

Modeling the Territorial Structure Dynamics of the Northern Part of the Volga-Akhtuba Floodplain

Creation of digital elevation models for river floodplains

Bottom friction models for shallow water equations: Manning’s roughness coefficient and small-scale bottom heterogeneity

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