Alua Zhukenova

Dr. Alua Zhukenova

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Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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31 May 2026 in Agronomy
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Journal Article
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Yerbolat MukanovYerbolat Mukanov
Yerbolat Mukanov
RARanida Arystanova
Ranida Arystanova
Janay SaginJanay Sagin
Janay Sagin
KSKanat Samarkhanov
Kanat Samarkhanov
TUTalgat Usmanov
Talgat Usmanov
AZAlua Zhukenova
Alua Zhukenova
This study analyzed precipitation and air temperature in the Zhambyl, Almaty, Zhetysu, Abay, and East Kazakhstan regions of Kazakhstan using data from the national meteorological network of the RSE Kazhydromet. The purpose of the study was to reveal the climatic changes and their spatial distribution throughout the study area. A modified Mann–Kendall test and Sen’s Slope estimator were applied to analyze aridity conditions in combination with the drought indices SPEI and Selyaninov hydrothermal coefficient, enabling analysis of the magnitude and statistical significance of trend changes from April to September for the period 1981 to 2023. The magnitude of the observed trends of the mean growing-season temperature increased by 0.211 °C decade−1, while precipitation declined by 2.074 mm decade−1, which indicates a decrease in moisture availability for crops in the southeast and east of Kazakhstan. The results of this study may be of interest to agricultural specialists, ecologists, the Ministry of Emergency Situations, and hydrologists to develop activities aimed at preventing threats and mitigating the effects of climate change in Kazakhstan. The use of the above statistical methods in combination with drought indices is relevant in the context of climate change and worsening food security and can serve as a good indicator for determining when significant changes in climatic parameters occurred, which will be valuable information for making management decisions.

26 March 2025 in Data in Brief
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Journal Article
Open access
KSKanat Samarkhanov
Kanat Samarkhanov
NZNurlybek Zinabdin
Nurlybek Zinabdin
DADamir Amantayev
Damir Amantayev
AKArman Kabdeshev
Arman Kabdeshev
MMMurat Muzdybaev
Murat Muzdybaev
AKAliya Kaisanova
Aliya Kaisanova
This dataset provides high-resolution bathymetric data for Yesik Lake, in southeast Kazakhstan's Tien Shan Mountain range. A bathymetric survey was undertaken from September 9 to 12, 2024, using a Lowrance ELITE Ti 9 multibeam sonar placed on a small vessel.

30 April 2022 in Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
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Journal Article
Open access
Dinara KaumetovaDinara Kaumetova
Dinara Kaumetova
IAI. D Arystan
I. D Arystan
HAH. K Absalyamov
H. K Absalyamov
KZK. K Zhusupova
K. K Zhusupova
AZAlua Zhukenova
Alua Zhukenova
GAG. S Abisheva
G. S Abisheva
Purpose. To study gold-bearing ores subjected to heap leaching technology to identify both free gold particles, as well as gold in aggregates and adhesions, which makes it possible to obtain data on the distribution of gold by its occurrence forms. Methodolgy. Leaching process studies are conducted at the laboratory setup of the Institute of Metallurgy and Ore Beneficiation of the Ministry of Education and Science of the Republic of Kazakhstan. The gold particles are studied using an AxioScope A1 optical microscope on the polished thin section surface. The sample materials are taken from the heap leaching site of the Vasilkovsky gold ore deposit. Findings. As a result of a microscopic test of a sample taken from the heap leaching site, ultrafine-dispersed and finely-dispersed gold particles have been found both in free form and in aggregates with waste rock and arsenical pyrite, as well as the fact of Au particles adhesions, accumulated on a grain of the host waste rock. The size class of detected Au particles varies from 0.35 to 9.5 m. Originality. For the first time, according to the samples of gold-bearing ores of the Vasilkovsky gold ore deposit, a pattern of the gold distribution according to the forms of its occurrence has been revealed. Practical value. The data obtained as a result of the research make it possible to predict the distribution of the gold form occurrence in other areas of the deposit. This can greatly simplify the conditions for its development, as well as adjust the technological process of leaching the gold-bearing ores and the main technological parameters of the heap leaching process.