The name of the competition within which the program is being implemented: A competition for program-targeted financing for scientific, scientific and technical programs for 2023-2025 with a duration of 28 months.
Program Manager: Denissova Natalia, Candidate of Physical and Mathematical Sciences, Associate Professor, Digital Officer of D. Serikbaev EKTU.
Identifiers:
- Researcher ID: O-9637-2017;
- Scopus Author ID: 56825891300;
- ORCID ID: 0000-0003-0525-730X
- https://www.scopus.com/authid/detail.uri?authorId=56825891300
The research group of the project
№ | Full name | Project position | Identifiers ResearcherID, ORCID, Scopus Author ID (if available) | |
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1 | Olga Petrova | Leading researcher, responsible executive | Scopus ID: 58628956800 ORCID ID: 0000-0002-1189-7293 https://www.scopus.com/authid/detail.uri?authorId=58628956800 |
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2 | Gulzhan Daumova | Leading researcher | Scopus ID: 6504514394 Researcher ID: AAB-4317-2019 ORCID ID: 0000-0001-6312-5343 https://www.scopus.com/authid/detail.uri?authorId=6504514394 |
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3 | Saule Rakhmatullina | Leading researcher | Scopus ID: 56658733600 Researcher ID: AAB-7598-2021 ORCID: 0000-0002-3142-0249 https://www.scopus.com/authid/detail.uri?authorId=56658733600 |
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4 | Samambayeva Aizhan | Researcher | Scopus ID: 57429272600 Researcher ID: GWZ-4972-2022 ORCID ID: 0000-0001-8600-7980 https://www.scopus.com/authid/detail.uri?authorId=57429272600 |
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5 | Igor Denisov | Senior Researcher | ORCID ID: 0000-0001-8424-4034 | |
6 | Marzhan Rakhymberdina | Senior Researcher | Scopus ID: 57189062804 Researcher ID: AAE-7814-2021 ORCID ID: 0000-0002-2196-6512 https://www.scopus.com/authid/detail.uri?authorId=57189062804 |
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7 | Vladimir Shevlyakov | Senior Researcher | ORCID ID: 0009-0004-0172-4999 | |
8 | Dmitry Dogadkin | Senior Researcher | Scopus ID: 57205293605 Researcher ID: ABF-2859-2021 ORCID ID: 0000-0001-5589-1638 https://www.scopus.com/authid/detail.uri?authorId=57205293605 |
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9 | Daniyar Kaliev | Senior Researcher | Scopus ID: 57736619500 Researcher ID: ABR-2406-2022 ORCID ID: 0000-0001-7281-2022 https://www.scopus.com/authid/detail.uri?authorId=57736619500 |
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10 | Ruslan Chettykbaev | Senior Researcher | Scopus ID: 56658674500 ORCID ID: 0000-0003-3822-9882 https://www.scopus.com/authid/detail.uri?authorId=56658674500 |
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11 | Vitaly Zuev | Researcher | Scopus ID: 57353009600 ORCID ID: 0009-0009-6703-0267 https://www.scopus.com/authid/detail.uri?authorId=57353009600 |
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12 | Evgeny Fedkin | Researcher | Scopus ID: 57214758447 ORCID ID: 0000-0002-9828-1706 https://www.scopus.com/authid/detail.uri?authorId=57214758447 |
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13 | Dmitry Spivak | Researcher | ORCID ID: 0009-0008-9131-4166 | |
14 | Evgeny Sergazinov | Researcher | ORCID ID: 0009-0004-7781-5547 | |
15 | Bolat Nurkin | Researcher | ORCID ID: 0009-0005-0948-8596 | |
16 | Natalia Vsyakikh | Junior researcher | ||
17 | Erbolat Mashaev | Junior researcher | ORCID ID: 0009-0007-4128-4854 | |
18 | Erkebulan Bekishev | Junior researcher | ORCID: 0000-0001-6608-193X | |
19 | Azamat Kapasov | Junior researcher | Scopus Author ID: 57914966200 ORCID ID: 0000-0001-7996-8804 https://www.scopus.com/authid/detail.uri?authorId=57914966200 |
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20 | Elena Ivashchenko | Junior researcher | Scopus Author ID: 58114484800 ORCID ID: 0000-0002-9233-6593 https://www.scopus.com/authid/detail.uri?authorId=58114484800 |
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21 | Dana Sovetbekova | Junior researcher | ORCID ID: 0009-0004-8071-8115 | |
22 | Irina Butorina | Junior researcher | ORCID ID: 0009-0007-4010-7979 | |
23 | Khakimova Alena | Junior researcher | ||
Young scientists (under 40 + teaching staff (Students, undergraduates) | ||||
Full name | Project position | Identifiers ResearcherID, ORCID, Scopus Author ID (if available) | Note (teacher, student, undergraduate, doctoral student) | |
1 | Vitaly Zuev | Researcher | Scopus ID: 57353009600 ORCID ID: 0009-0009-6703-0267 |
|
2 | Ruslan Chettykbaev | Senior Researcher | Scopus ID: 56658674500 ORCID ID: 0000-0003-3822-9882 |
doctoral student |
3 | Erbolat Mashaev | Junior researcher | ORCID ID: 0009-0007-4128-4854 | |
4 | Erkebulan Bekeshev | Junior researcher | ORCID ID: 0000-0001-6608-193X | |
5 | Azamat Kapasov | Junior researcher | Scopus Author ID: 57914966200 ORCID ID: 0000-0001-7996-8804 |
|
6 | Dmitry Dogadkin | Senior Researcher | Scopus ID: 57205293605 Researcher ID: ABF-2859-2021 ORCID ID: 0000-0001-5589-1638 |
doctoral student |
7 | Daniyar Kaliev | Senior Researcher | Scopus ID: 57736619500 Researcher ID: ABR-2406-2022 ORCID ID: 0000-0001-7281-2022 |
doctoral student |
8 | Dmitry Spivak | Researcher | ORCID ID: 0009-0008-9131-4166 | |
9 | Samambayeva Aizhan | Researcher | Scopus ID: 57429272600 Researcher ID: GWZ-4972-2022 ORCID ID: 0000-0001-8600-7980 |
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10 | Dana Sovetbekova | Junior researcher | ORCID ID: 0009-0004-8071-8115 | undergraduate |
11 | Irina Butorina | Junior researcher | ORCID ID: 0009-0007-4010-7979 | undergraduate |
12 | Evgeny Fedkin | Researcher | Scopus ID: 57214758447 ORCID ID: 0000-0002-9828-1706 |
doctoral student |
Project abstract:
The avalanche hazard which is increasing every year requires the use of modern monitoring systems.
An involuntary avalanche can cause human casualties, significant damage to material property and the environment. The solution to this problem is the development and installation of an automated avalanche hazard monitoring system on dangerous slopes.
In world practice, there are several options for organizing observations of avalanche prone locations, which can use various methods, observations on the slopes or remote sensing. But the sphere of avalanche hazard monitoring continues to develop. At the same time, new methods of big data processing and machine learning can be used. The new systems must take into account the totality of various parameters affecting the avalanche in order to improve the accuracy of predict and the timeliness of warnings.
High-quality monitoring of avalanche prone locations will ensure the safety of people, transport, and tourist infrastructure. The development of its own automated system will contribute to the development of monitoring systems in the country with the placement and maintenance of their own forces and specialists.
Goal:
Research of avalanche activity and territorial distribution of avalanche prone locations in the East Kazakhstan region for the development of avalanche hazard monitoring systems and scientific substantiation of their placement.
Expected and achieved results of the project:
Year |
The results obtained from the research. |
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2023 year |
At the first stage of the work under the program in 2023, according to the calendar plan, one task was completed: The study of the mountain slopes of East Kazakhstan Region according to the degree of avalanche hazards based on field research, the use of GIS technologies with the systematization of avalanche-prone areas. Denissova N., Petrova O. Aspects of the development of an automated avalanche hazard monitoring system for the East Kazakhstan region // Modern trends in the development of science and the world community in the era of digitalization, (Moscow, 2023): Collection of materials of the XIX International Scientific and Practical Conference. – Moscow: ALEF Publishing House, 2023. – pp. 267-273. DOI 10.34755/IROK.2023.96.53.005 Visit of the Vice Minister of Emergency Situations: |
2024 year |
According to the project calendar plan, all tasks set for 2024 have been completed in full. A database of microclimatic parameters and features of the East Kazakhstan region slopes, significant for the development of monitoring systems, has been created. A list of factors for determining priority slopes subject to avalanche hazard monitoring has been identified. A methodology for selecting priority mountain slopes for placing an avalanche hazard monitoring system has been developed. 3D models of avalanche paths have been created. A scientifically substantiated concept of an autonomous automated avalanche hazard monitoring system has been developed, taking into account the advantages and disadvantages of analogs identified in the review. The architecture has been designed and the system algorithm has been developed. Software has been created. Design documentation has been developed and the sensor design has been calculated. A total of 12 articles have been published in 2024, two copyright certificates have been received (Scientific publications for 2024). The project partner is Ionosphere Institute LLP. The Institute has completed the tasks for 2024 in accordance with the calendar plan for the contract No. 2023-138 dated 20.11.2023. The methodology for selecting priority mountain slopes for the placement of avalanche hazard monitoring systems was developed. High-precision digital elevation models were built and geomorphometric analysis of the slopes was carried out. 3D models (digital twins) of avalanche paths were created based on the digital elevation model data. A methodology for determining avalanches based on satellite radar data was developed. A study of the mountain slopes of the East Kazakhstan Region (EKR) was conducted in terms of avalanche hazard based on field research, the use of GIS technologies with the systematization of avalanche-hazardous areas. The slopes of the terrain and slope orientation were calculated based on a digital elevation model of medium and high spatial resolution. The timing of the occurrence and collapse of the snow cover was determined based on archival and current satellite data. Mapping of vegetation types on various slopes and assessment of their dynamics over a long period of time were carried out. Solar insolation and albedo coefficients were calculated based on long-term data series. During the year, several meetings were held with representatives of the East Kazakhstan region Department of Emergency Situations and the State Institution "Kazselezashchita", as well as joint visits to avalanche-prone areas. At the end of the year, an autonomous automated avalanche hazard monitoring system was installed at avalanche path No. 21 Gornaya Ulbinka, Prokhodnaya River. |
2025 year |
A prototype of an autonomous automated avalanche hazard monitoring system has been created with the ability to predict and prevent avalanches early. A prototype sensor has been made. The operability of all components, data collection and processing capabilities have been checked. The prototype and sensors were tested in real conditions during the winter season of 2024-2025. The prototype of the system is installed in an avalanche-prone area along the highway Ust-Kamenogorsk - Gornaya Ulbinka - Severnoye (Prochodnaya river). A pilot project of an autonomous automated avalanche hazard monitoring system on the priority slopes of East Kazakhstan region will be organized. Technical and economic calculations will be performed to assess the social effectiveness of placing an autonomous automated avalanche hazard monitoring system on the mountain slopes of East Kazakhstan Region to scale the system. 9 (nine) articles and (or) reviews in peer-reviewed scientific publications in the scientific direction of the program, included in 1 (first), 2 (second) and (or) 3 (third) quartile by impact factor in the Web of Science database and (or) having a Cite Score percentile in the Scopus database of at least 50 (fifty) and 10 (ten) articles in journals recommended by the Committee for Quality Assurance in Education and Science. Three monographs or textbooks will be published in foreign and (or) Kazakhstani publishing houses. Intellectual property objects will be obtained based on the results of the project of at least 6 (six) intellectual property objects (including an author's certificate for a software product) registered with the National Institute of Intellectual Property of the Republic of Kazakhstan. |
Infographics:
Date of last changes:23.05.2025