Nurlan Temirbekov

Dr. Nurlan Temirbekov

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Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 May 2023 in Atmosphere
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Journal Article
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NTNurlan Temirbekov
Nurlan Temirbekov
Syrym Erkinovich KasenovSyrym Erkinovich Kasenov
Syrym Erkinovich Kasenov
GBGalym Berkinbayev
Galym Berkinbayev
ATAlmas Temirbekov
Almas Temirbekov
DTDinara Tamabay
Dinara Tamabay
MTMarzhan Temirbekova
Marzhan Temirbekova
In the world, air pollution ranks among the primary sources of risk to human health and the environment. To assess the risk of impact of atmospheric pollution, a comprehensive research cycle was designed to develop a unified ecosystem for monitoring air pollution in industrial cities in Kazakhstan. Research involves analyzing data for the winter period from 20 automated monitoring stations (AMS) located in Almaty and conducting chemical-analytical studies of snowmelt water samples from 22 points to identify such pollutants as fine particulate matters, petroleum products, and heavy metals. Research includes a bio-experiment involving the cultivation of watercress on samples of melt water collected from snow cover to examine the effects of pollution on plants. In the framework of this research, we determined API based on data obtained from AMS. In order to determine the influence of atmospheric pollution on the environment, a multiple regression model was developed using machine learning algorithms to reveal the relationship between the bio-experiment data and data on pollutants of chemical-analytical research. The results revealed a wide spread of pollutants in the snow cover of the urban environment, a correlation between pollutants in the snow cover and the airspace of the city, and their negative impact on flora.
15 September 2023 in International Journal of Environmental Research and Public Health
Verified
Journal Article
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NTNurlan Temirbekov
Nurlan Temirbekov
MTMarzhan Temirbekova
Marzhan Temirbekova
DTDinara Tamabay
Dinara Tamabay
Syrym Erkinovich KasenovSyrym Erkinovich Kasenov
Syrym Erkinovich Kasenov
SASeilkhan Askarov
Seilkhan Askarov
ZTZulfiya Tukenova
Zulfiya Tukenova
This study focuses on assessing the level of morbidity among the population of Almaty, Kazakhstan, and investigating its connection with atmospheric air pollution using machine learning algorithms. The use of these algorithms is aimed at analyzing the relationship between air pollution levels and the state of public health, as well as the correlations between COVID-19 infection and the development of respiratory diseases. This study analyzes the respiratory diseases of the population of Almaty and the level of air pollution as a result of suspended particles for the period of 2017–2022. The study includes recommendations to reduce harmful emissions into the atmosphere using machine learning methods. The results of the study show that air pollution is a critical factor affecting the increase in the number of diseases of the respiratory system. The study recommends taking measures to reduce air pollution and improve air quality in order to prevent the development of chronic respiratory diseases. The study offers recommendations to industrial enterprises, traffic management organizations, thermal power plants, the Department of Environmental Protection, and local executive bodies in order to reduce respiratory diseases among the population.
15 April 2022 in Mathematics
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DBDossan Baigereyev
Dossan Baigereyev
DODinara Omariyeva
Dinara Omariyeva
NTNurlan Temirbekov
Nurlan Temirbekov
YYYerlan Yergaliyev
Yerlan Yergaliyev
KBKulzhamila Boranbek
Kulzhamila Boranbek
In this paper, we propose an efficient numerical method for solving an initial boundary value problem for a coupled system of equations consisting of a nonlinear parabolic partial integro-differential equation and an elliptic equation with a nonlinear term. This problem has an important applied significance in petroleum engineering and finds application in modeling two-phase nonequilibrium fluid flows in a porous medium with a generalized nonequilibrium law. The construction of the numerical method is based on employing the finite element method in the spatial direction and the finite difference approximation to the time derivative. Newton’s method and the second-order approximation formula are applied for the treatment of nonlinear terms. The stability and convergence of the discrete scheme as well as the convergence of the iterative process is rigorously proven. Numerical tests are conducted to confirm the theoretical analysis. The constructed method is applied to study the two-phase nonequilibrium flow of an incompressible fluid in a porous medium. In addition, we present two examples of models allowing for prediction of the behavior of a fluid flow in a porous medium that are reduced to solving the nonlinear integro-differential equations studied in the paper.
1 December 2023 in Indonesian Journal of Electrical Engineering and Computer Science
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Journal Article
Open access
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NTNurlan Temirbekov
Nurlan Temirbekov
YMYerzhan Malgazhdarov
Yerzhan Malgazhdarov
DTDinara Tamabay
Dinara Tamabay
ATAlmas Temirbekov
Almas Temirbekov
This article addresses the critical issue of harmful impurity dispersion in industrial facility atmospheres, considering point sources and factoring in photochemical changes. Conjugate equations are employed to assimilate pollutant data into the transfer equations' right side. Boundary conditions derive from global models like weather research and forecasting (WRF) and system for integrated modeling of atmospheric composition (SILAM), customized for the unique characteristics of an industrial city's pollutants. To encompass anthropogenic heat sources and surface heterogeneity, the model incorporates differential schemes for the atmospheric boundary layer, transport equations, and impurity transformation equations. Parameters for photochemical transformations, varying with weather and time of day, are derived from Ust-Kamenogorsk. A cloud-based geoinformation system (GIS) is developed for monitoring and forecasting air pollution. It assimilates data sources and accounts for photochemical transformations, enabling visualization of diverse weather and environmental scenarios. The article presents numerical modeling results of impurity spread and transformation influenced by mesometeorological processes, topography, and water resources within a specific city.
4 January 2022 in Cogent Engineering
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Journal Article
Open access
NTNurlan Temirbekov
Nurlan Temirbekov
YIYernar Imangaliyev
Yernar Imangaliyev
DBDossan Baigereyev
Dossan Baigereyev
LTLaura Temirbekova
Laura Temirbekova
MNMaya Nurmangaliyeva
Maya Nurmangaliyeva
Currently, methods and approaches of scientific visualization based on additional data analysis are being intensively developed due to the rapid development of computer technology in geology. The general concept is that the main data field on the day surface and additional conditions are specified at the input. Further, the methods of mathematical geophysics are used for their analysis and processing, as a result of which new information is obtained for deep exploration. Then visualization tools are applied to the obtained information and main data field in an information system. Thus, the information system is based on the synthesis of visual representation methods, methods of mathematical geophysics, computational mathematics, and various branches of science. This paper presents a description of the geoinformation system module for deep forecast search modeling of deposits developed on the base of the methods of intelligent anomalies detection of hidden deposits. Operation of the software module is based on the application of the theory of mathematical geophysics inverse problems using geological data on the Earth’s surface, geophysical measurements and geochemical analyses as input data. The software module for the inverse problem of the continuation of potential fields in the direction of perturbing masses is used for real data of a particular mineral deposit.
1 January 2017 in AIP Conference Proceedings
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Conference Paper
Closed access
BZBakytzhan Zhumagulov
Bakytzhan Zhumagulov
NTNurlan Temirbekov
Nurlan Temirbekov
DBDossan Baigereyev
Dossan Baigereyev
The paper focuses on constructing and investigation of cost-effective difference schemes for the numerical solution of the two-dimensional three-phase non-isothermal flow problem without capillary and gravitational forces. In this paper, the finite difference method is used to solve the problem numerically. The method of energy inequalities is applied to examine the stability of the finite difference scheme with respect to the initial data and the right-hand sides of the equations. Three cost-effective difference schemes are constructed on the base of the studied scheme. The efficiency of the proposed algorithms is analyzed on the basis of comparing the average time spent on the numerical implementation of one time layer.