BR21882022 “Research of avalanche activity in the East Kazakhstan region for development of monitoring systems and scientific substantiation of their placement”

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:

The research group of the project

Full name Project position Identifiers ResearcherID, ORCID, Scopus Author ID (if available)
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
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
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
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
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
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
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
10 Ruslan Chettykbaev Senior Researcher Scopus ID: 56658674500
ORCID ID: 0000-0003-3822-9882 https://www.scopus.com/authid/detail.uri?authorId=56658674500
11 Vitaly Zuev Researcher Scopus ID: 57353009600
ORCID ID: 0009-0009-6703-0267 https://www.scopus.com/authid/detail.uri?authorId=57353009600
12 Evgeny Fedkin Researcher Scopus ID: 57214758447
ORCID ID: 0000-0002-9828-1706 https://www.scopus.com/authid/detail.uri?authorId=57214758447
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
20 Elena Ivashchenko Junior researcher Scopus Author ID: 58114484800
ORCID ID: 0000-0002-9233-6593 https://www.scopus.com/authid/detail.uri?authorId=58114484800
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
 
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.
Publications (with links to them) and patents; information for potential users.

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.
As part of the task, the regulatory framework for monitoring avalanche hazards in Kazakhstan has been defined. A brief description of the avalanche-prone situation in East Kazakhstan region is given. The characteristics of avalanche-prone areas are given by the districts of the region for which snow measuring routes have been developed: Ust-Kamenogorsk section, Altai section, Katon-Karagai section, Ridder section.
The mapping of avalanche-prone areas was carried out with the choice of modern methods and the use of GIS technologies. The systematization of avalanche-prone areas of East Kazakhstan region according to the degree of avalanche hazards has been carried out.
To prepare for the next stages of work, general information about the soils of East Kazakhstan region has been collected. The description of the infological database model is performed.
The task of studying and reviewing the world experience in organizing space monitoring of avalanche hazards has been completed. In order to popularize the results of scientific research, a web page has been created on the university's website about the progress of the program.

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:
/newsevents/sotrudniki-vktu-im-d-serikbaeva-proveli-soveshchanie-s-predstavitelyami-departamenta-po-chs-vko.aspx
About the grant:
/newsevents/uchenye-vktu-vyigrali-granty-na-summu-2-mlrd-tenge.aspx
Meeting on the project with the Emergency Department:
/newsevents/sotrudniki-vktu-im-d-serikbaeva-proveli-soveshchanie-s-predstavitelyami-departamenta-po-chs-vko.aspx
Visit of representatives of the Ionosphere Institute to EKTU as part of the project implementation:
/newsevents/visit-of-representatives-of-the-ionosphere-institute.aspx

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