The Use of Supercomputer Technologies for Predictive Modeling of Pollutant Transport in Boundary Layers of the Atmosphere and Water Bodies

Сухинов, А. И.; Chistyakov, A. E.; Nikitina, A. V.; Filina, A. A.; Lyashchenko, T. V.; Litvinov, Vladimir

doi:10.1007/978-3-030-28163-2_16

Cited by 4 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First of all, the volume of river flow in the Don basin is decreasing. As a result, a complex of negative consequences for the ecosystem and the national economy has arisen, such dangerous hydrological and geographical phenomena as low water, extreme surges and surges in the delta of the river [10]. Don, salinization of the Taganrog Bay (up to 2-8 ‰), oxygen deficiency, rapid "blooming" of microalgae [8].…”

Section: Subject Of Studymentioning

confidence: 99%

Problems of introducing a system of paid water use in irrigated agriculture in water-deficient regions of Russia (on the example of the Rostov region)

Kharitonov

2021

E3S Web Conf.

View full text Add to dashboard Cite

In the face of climate change, regulation of water use is essential. On the example of the Rostov region, the necessity of introducing paid water for agricultural lands was considered. Rostov region is one of the largest producers of agricultural products, including wheat and sunflower. At the same time, this territory belongs to arid territories and needs irrigation of agricultural land. The Lower Don basin on the territory of the Rostov region includes the territory from the Tsimlyansk reservoir to the river mouth. The quality of water resources and river runoff of large waterways in the Don region is largely determined by small rivers, whose environmental problems are also associated with a high anthropogenic load, indicating intense economic activity. The article discusses the possibilities of using the system of payment for water use for agriculture. It is shown that the introduction of a system of tariffs for irrigation water, as well as the modernization of existing legal norms, will reduce the anthropogenic load on the ecosystem. The systemic regulation of water use should ultimately lead to the modernization of the system of irrigation canals and the cleaning of small rivers in the region.

show abstract

Section: Subject Of Studymentioning

confidence: 99%

Problems of introducing a system of paid water use in irrigated agriculture in water-deficient regions of Russia (on the example of the Rostov region)

Kharitonov

2021

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

Numerical implementation of biological kinetics multi-species model in the Azov Sea

Сухинов

Nikitina

Filina

et al. 2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Paper covers the research of biological kinetics processes based on a multi-species model of plankton and fish interaction of the Azov Sea at low and high size considering the V erhulst and Allee effects, competition for resources, taxis, catching, spatial distribution of biogenic matter and detritus. Discrete analogue of developed model problem of water ecology, included in a software complex, were calculated using schemes of increased order of accuracy considering the partial filling of computational cells. The system of grid equations of large dimension, arising at discretization, has been solved on the basis of a two-layer variational type method – the minimum corrections method having the maximum convergence rate. Effective parallel algorithms were developed for numerical implementation of biological kinetics problem and oriented on multiprocessor computer system and NVIDIA Tesla K80 graphics accelerator with the data storage format modification of. Due to it, the reproduction processes of biogeocenose populations have been analysed in real and accelerated time.

show abstract

Processing of Data From Field Observations of Water Flow Velocity Profiles in a Shallow Reservoir Based on the Kalman Filter

Atayan¹,

Chistyakov²,

Nikitina³

2021

vkit

View full text Add to dashboard Cite

The paper is devoted to the numerical implementation of the Kalman filter algorithm for processing data from natural experiments obtained during expedition work to research the ecological state of the Azov Sea. Due to the use of various types of measuring devices placed on a research vessel, there is a problem of interference in the signal. To analyze the data of full-scale measurements of the profile of the three-dimensional velocity vector of the water environment’s movement in the Eastern part of the Sea of Azov at the qualitative and quantitative levels, sensor readings with a minimum amount of interference are necessary. In this paper, we selected the Kalman filter algorithm that allows us to obtain the minimum dispersion of the unbiased estimate of the dynamic system’s state. The Kalman filter is an algorithm that can be used to analyze measurements that include not only the desired measurements of the observed parameter or value, but also noises. Based on the full-scale velocity profiles measured by the ADCP probe at some points of the shallow water, a data filtering algorithm was constructed. A software module has been developed for solving the problem of filtering data of water flow velocities fields. The solution to the problem of constructing a filtration model is based on the two-stage Kalman algorithm. Estimates of the coefficients describing the error of the model and the measuring device are obtained. Natural measurements of the water flow velocity are used as input data for solving the filtration problem. Measurements were recorded at one second intervals every 10 centimeters. 128 measurements of each of the components of the velocity vector were performed in depth at the current time. The implementation of the Kalman filter algorithm for field measurements of the velocity field of the water flow of the Azov Sea was carried out using: the Python programming language, the PyCharm integrated development environment. PyCharm makes development as productive as possible with code completion and analysis features, instant errors highlighting, and quick fixes. With PyCharm, smart code updates are available with safe deletion and renaming, a extract method, an input variable, an inline variable or method, and other refactorings. Framework and programming language oriented refactorings will help you make any change within an entire project. Processing of natural measurements based on Kalman’s filtering makes it possible not only to refine the input data for the mathematical model problem of hydrodynamics, but also to significantly reduce the error of its solution.

show abstract

The Use of Supercomputer Technologies for Predictive Modeling of Pollutant Transport in Boundary Layers of the Atmosphere and Water Bodies

Cited by 4 publications

References 11 publications

Problems of introducing a system of paid water use in irrigated agriculture in water-deficient regions of Russia (on the example of the Rostov region)

Problems of introducing a system of paid water use in irrigated agriculture in water-deficient regions of Russia (on the example of the Rostov region)

Numerical implementation of biological kinetics multi-species model in the Azov Sea

Processing of Data From Field Observations of Water Flow Velocity Profiles in a Shallow Reservoir Based on the Kalman Filter

Contact Info

Product

Resources

About