Gulzhan Daumova

Prof. Gulzhan Daumova

School of Earth Sciences, D. Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk, Kazakhstan
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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9 November 2024 in Atmosphere
Verified
Journal Article
Open access
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NDNatalya Denissova
Natalya Denissova
SNSerik Nurakynov
Serik Nurakynov
OPOlga Petrova
Olga Petrova
DCDaniker Chepashev
Daniker Chepashev
Gulzhan DaumovaGulzhan Daumova
Gulzhan Daumova
AYAlena Yelisseyeva
Alena Yelisseyeva
Snow avalanches, one of the most severe natural hazards in mountainous regions, pose significant risks to human lives, infrastructure, and ecosystems. As climate change accelerates shifts in snowfall and temperature patterns, it is increasingly important to improve our ability to monitor and predict avalanches. This review explores the use of remote sensing technologies in understanding key geomorphological, geobotanical, and meteorological factors that contribute to avalanche formation. The primary objective is to assess how remote sensing can enhance avalanche risk assessment and monitoring systems. A systematic literature review was conducted, focusing on studies published between 2010 and 2025. The analysis involved screening relevant studies on remote sensing, avalanche dynamics, and data processing techniques. Key data sources included satellite platforms such as Sentinel-1, Sentinel-2, TerraSAR-X, and Landsat-8, combined with machine learning, data fusion, and change detection algorithms to process and interpret the data. The review found that remote sensing significantly improves avalanche monitoring by providing continuous, large-scale coverage of snowpack stability and terrain features. Optical and radar imagery enable the detection of crucial parameters like snow cover, slope, and vegetation that influence avalanche risks. However, challenges such as limitations in spatial and temporal resolution and real-time monitoring were identified. Emerging technologies, including microsatellites and hyperspectral imaging, offer potential solutions to these issues. The practical implications of these findings underscore the importance of integrating remote sensing data with ground-based observations for more robust avalanche forecasting. Enhanced real-time monitoring and data fusion techniques will improve disaster management, allowing for quicker response times and more effective policymaking to mitigate risks in avalanche-prone regions.

9 November 2021 in Metals
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Journal Article
Open access
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NSNazym Seksenova
Nazym Seksenova
RBRudolf Bykov
Rudolf Bykov
SMSergey Mamyachenkov
Sergey Mamyachenkov
Gulzhan DaumovaGulzhan Daumova
Gulzhan Daumova
MKMalika Kozhakanova
Malika Kozhakanova
This article presents the results of studies of a low-waste technology for processing enrichment tailings using a combined enrichment–hydrometallurgical method. After washing the enrichment tailings from harmful products and reducing their size, multi-stage flotation of the crushed material of the enrichment tailings was carried out. The use of a new reagent in the flotation process was studied in order to ensure the maximum recovery of the main valuable components from the enrichment tailings. A new collector of Aero 7249 (Shenyang Florrea Chemicals Co., Ltd., Shenyang, China) type was used for the flotation. The recovery of valuable components was as follows: Cu, 6.78%; Zn, 91.69%; Pb, 80.81%; Au, 95.90%; Ag, 82.50%; Fe, 78.78%. Tailings of the flotation were re-enriched using a fatty acid collector (sodium oleate). Additional (reverse) flotation resulted in obtaining a product corresponding to the composition of building sand in terms of the content of valuable components of the waste rock. The studies of the conditions for processing the enrichment tailings of lead–zinc ore indicate the possibility of its optimization in order to maximize the involvement of waste in the production.

24 January 2024 in Microorganisms
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Olga MuterOlga Muter
Olga Muter
DGDita Gudra
Dita Gudra
Gulzhan DaumovaGulzhan Daumova
Gulzhan Daumova
ЖИЖанат Кабылбековна Идришева
Жанат Кабылбековна Идришева
MRMarzhan Rakhymberdina
Marzhan Rakhymberdina
SPStanislav Polezhayev
Stanislav Polezhayev
Heavy metal (HMe) pollution in regions with mining and metallurgy activities is known to be a serious environmental problem worldwide. Hydrological processes contribute to the dissemination of HMes (drainage, precipitation, flow rate). The aim of the present study is to investigate the microbial community structure in ten river sediments sampled in different regions of East Kazakhstan, which are contaminated with HMes. The overall degree of sediment contamination with HMes (Cr, Cu, Zn, Pb, and Cd) was assessed using the pollution index Zc, which ranged from 0.43 to 21.6, with the highest in Ridder City (Zc = 21.6) and Ust-Kamenogorsk City, 0.8 km below the dam of the hydroelectric power station (Zc = 19.6). The tested samples considerably differed in organic matter, total carbon, nitrogen, and phosphorus content, as well as in the abundance of HMe-related functional gene families and antibiotic resistance genes. Metagenomic analysis of benthic microorganisms showed the prevalence of Proteobacteria (88.84–97.61%) and Actinobacteria (1.21–5.98%) at the phylum level in all samples. At the class level, Actinobacteria (21.68–57.48%), Betaproteobacteria (19.38–41.17%), and Alphaproteobacteria (10.0–39.78%) were the most common among the classified reads. To the best of our knowledge, this is the first study on the metagenomic characteristics of benthic microbial communities exposed to chronic HMe pressure in different regions of East Kazakhstan.

21 October 2023 in Processes
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Natalya SerayaNatalya Seraya
Natalya Seraya
Vadim LitvinovVadim Litvinov
Vadim Litvinov
Gulzhan DaumovaGulzhan Daumova
Gulzhan Daumova
NZNursultan Zhusipov
Nursultan Zhusipov
ЖИЖанат Кабылбековна Идришева
Жанат Кабылбековна Идришева
Roza AubakirovaRoza Aubakirova
Roza Aubakirova
Phosphogypsum (PG: CaSO4·2H2O) is a waste product (or by-product) from the production of phosphoric acid, the main component in the production of concentrated simple and complex fertilizers. The world production of phosphogypsum exceeds 200 million tons per year. PG discharged into water bodies (seas, rivers) or disposed of in land dumps may contain elements (including heavy metals and radionuclides) in forms and concentrations that are toxic to ecosystems and human health, which raises concerns about its impact on the environment. The concentrations of these elements vary depending on the region where the raw material is mined and the process used to produce phosphoric acid. Given the significant volumes of phosphogypsum formed, an urgent problem is not only the development of methods for its disposal, but also a special, specific control over its composition after the release of PG and during its use for removal, transportation, and storage in dumps and sludge storages. This article presents the results of comprehensive studies on the determination of the chemical and mineralogical composition of by-products from an experimental plant for the processing of phosphate raw materials of the designed chemical complex of the EuroChem-Karatau company (Republic of Kazakhstan). Based on the conducted studies, it was established that, in terms of the total toxicity index, the studied wastes belong to the fourth hazard class (low-hazardous) with the possibility of processing for the purpose of their further use.

10 November 2023 in International Journal of Safety and Security Engineering
Verified
Journal Article
Closed access
SASholpan Abikenova
Sholpan Abikenova
GIGulnara Issamadiyeva
Gulnara Issamadiyeva
EKElmira Kulmagambetova
Elmira Kulmagambetova
Gulzhan DaumovaGulzhan Daumova
Gulzhan Daumova
NANazgul Abdrakhmanova
Nazgul Abdrakhmanova

1 January 2022 in Journal of Ecological Engineering
Verified
Journal Article
Open access
SYSezim Yerbolov
Sezim Yerbolov
Gulzhan DaumovaGulzhan Daumova
Gulzhan Daumova
This work is devoted to mine waste water purification from metal ions, such as copper, zinc, lead, cadmium, iron, and manganese. The rationale was provided for the possibility to purify waste water from metal ions with nonactivated and ultra-dispersed natural sorbents. Adsorption capacity of...