Algorithms of Flood Water Flow Control in Small River Floodplain Channels

The problem of counteracting anthropogenic degradation of modern river floodplains through the construction of dams in river channels is an urgent topic of research worldwide. This paper presents a comparative analysis of the accuracy and efficiency of three algorithms for controlling flood water flows in small channels in the northern part of the Volga-Akhtuba floodplain in order to increase the flooded target area. A two-level dynamic programming algorithm, an algorithm for optimizing flows in a network, and the original two-level and one-level heuristic donor-acceptor algorithms are investigated. Water dynamics calculations are based on shallow water equations. The calculations use the original EcoGIS-Simulation software package for numerical modeling of surface water dynamics with a digital elevation model of the northern part of the Volga-Akhtuba floodplain. The computational core of EcoGIS-Simulation is based on the numerical algorithm CSPH-TVD, which combines Lagrangian (Smoothed-ParticleHydrodynamics) and Eulerian (TotalVariationDiminishing) approaches. Parallel computations are performed on NVIDIATesla GPUs (graphics processing units). The conducted study showed in general low accuracy and efficiency of the investigated algorithms for water flow control. The relative error of all algorithms significantly exceeded the relative error of geoinformation and hydrodynamic modeling. The reason for this is the insufficiently high adequacy of the models for controlling unsteady water flows in a channel system with unstable structure. The heuristic one-level algorithm “donors-acceptors”, using the simplest control model, showed higher accuracy and efficiency compared to other algorithms.

Authors

Institutions

Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/summa64428.2024.10803855
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algorithms of Flood Water Flow Control in Small River Floodplain Channels

Anna A. Vasilchenko, Alexander Voronin
1 links
Hydrology and Watershed Management Studies
article

Algorithms of Flood Water Flow Control in Small River Floodplain Channels

Anna A. Vasilchenko, Alexander Voronin
article en

Abstract

The problem of counteracting anthropogenic degradation of modern river floodplains through the construction of dams in river channels is an urgent topic of research worldwide. This paper presents a comparative analysis of the accuracy and efficiency of three algorithms for controlling flood water flows in small channels in the northern part of the Volga-Akhtuba floodplain in order to increase the flooded target area. A two-level dynamic programming algorithm, an algorithm for optimizing flows in a network, and the original two-level and one-level heuristic donor-acceptor algorithms are investigated. Water dynamics calculations are based on shallow water equations. The calculations use the original EcoGIS-Simulation software package for numerical modeling of surface water dynamics with a digital elevation model of the northern part of the Volga-Akhtuba floodplain. The computational core of EcoGIS-Simulation is based on the numerical algorithm CSPH-TVD, which combines Lagrangian (Smoothed-ParticleHydrodynamics) and Eulerian (TotalVariationDiminishing) approaches. Parallel computations are performed on NVIDIATesla GPUs (graphics processing units). The conducted study showed in general low accuracy and efficiency of the investigated algorithms for water flow control. The relative error of all algorithms significantly exceeded the relative error of geoinformation and hydrodynamic modeling. The reason for this is the insufficiently high adequacy of the models for controlling unsteady water flows in a channel system with unstable structure. The heuristic one-level algorithm “donors-acceptors”, using the simplest control model, showed higher accuracy and efficiency compared to other algorithms.

Volgograd State University (RU)
Clean water and sanitation
Openalex Percentile: Top 76%
Hydrology and Watershed Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.