Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan
This paper studies the influence of meteorological factors on avalanche occurrence in East Kazakhstan using modern data analysis methods. A dataset of 111 avalanche events in nine avalanche-prone areas of the region, recorded between 2012 and 2023, was compiled. Primary data on avalanche dates were...
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MDPI AG
2025-06-01
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| Online Access: | https://www.mdpi.com/2073-4433/16/6/723 |
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| author | Marzhan Rakhymberdina Natalya Denissova Yerkebulan Bekishev Gulzhan Daumova Milan Konečný Zhanna Assylkhanova Azamat Kapasov |
| author_facet | Marzhan Rakhymberdina Natalya Denissova Yerkebulan Bekishev Gulzhan Daumova Milan Konečný Zhanna Assylkhanova Azamat Kapasov |
| author_sort | Marzhan Rakhymberdina |
| collection | DOAJ |
| description | This paper studies the influence of meteorological factors on avalanche occurrence in East Kazakhstan using modern data analysis methods. A dataset of 111 avalanche events in nine avalanche-prone areas of the region, recorded between 2012 and 2023, was compiled. Primary data on avalanche dates were obtained from the Department of Emergency Situations of East Kazakhstan Region (DES EKR), and meteorological data were sourced from the Kazhydromet website. Descriptive statistics, correlation analysis, principal component analysis (PCA), as well as K-means clustering and DBSCAN algorithms, were used for the analysis. During the analysis of meteorological conditions preceding avalanches at nine avalanche-prone areas in Eastern Kazakhstan, using PCA (Principal Component Analysis), the main weather factors affecting avalanche formation were determined. Clustering of 111 avalanches using the K-Means method allowed the identification of four scenario types: gradual snow accumulation without wind (33 cases), upper layer thawing due to warming (34), high snow cover (28), and storm impact (16). The DBSCAN method revealed two anomalous cases related to extreme snow depth. Correlation analysis revealed significant relationships between avalanches and meteorological parameters such as air temperature, snow cover depth, wind speed and direction, precipitation, and relative humidity. Correlation analysis revealed both negative and positive relationships between meteorological parameters. Principal component analysis identified the most significant variables affecting avalanche activity, with temperature, snow cover height, and wind making the greatest contributions. Cluster analysis demonstrated that avalanches could occur under different combinations of weather conditions within the same areas, confirming the complex nature of avalanche-forming processes. The results emphasize the need for an integrated approach to avalanche forecasting that accounts for the multi-parametric interactions of meteorological factors, and may contribute to the improvement of avalanche risk monitoring and mitigation systems in mountain regions. |
| format | Article |
| id | doaj-art-af5c9766d95f49c38fb07d60764fbcf5 |
| institution | Kabale University |
| issn | 2073-4433 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-af5c9766d95f49c38fb07d60764fbcf52025-08-20T03:26:21ZengMDPI AGAtmosphere2073-44332025-06-0116672310.3390/atmos16060723Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern KazakhstanMarzhan Rakhymberdina0Natalya Denissova1Yerkebulan Bekishev2Gulzhan Daumova3Milan Konečný4Zhanna Assylkhanova5Azamat Kapasov6School of Earth Sciences, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk 070000, KazakhstanDepartment of Information Technology, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk 070000, KazakhstanSchool of Earth Sciences, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk 070000, KazakhstanSchool of Earth Sciences, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk 070000, KazakhstanLaboratory on Geoinformatics and Cartography, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech RepublicSchool of Earth Sciences, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk 070000, KazakhstanSchool of Earth Sciences, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk 070000, KazakhstanThis paper studies the influence of meteorological factors on avalanche occurrence in East Kazakhstan using modern data analysis methods. A dataset of 111 avalanche events in nine avalanche-prone areas of the region, recorded between 2012 and 2023, was compiled. Primary data on avalanche dates were obtained from the Department of Emergency Situations of East Kazakhstan Region (DES EKR), and meteorological data were sourced from the Kazhydromet website. Descriptive statistics, correlation analysis, principal component analysis (PCA), as well as K-means clustering and DBSCAN algorithms, were used for the analysis. During the analysis of meteorological conditions preceding avalanches at nine avalanche-prone areas in Eastern Kazakhstan, using PCA (Principal Component Analysis), the main weather factors affecting avalanche formation were determined. Clustering of 111 avalanches using the K-Means method allowed the identification of four scenario types: gradual snow accumulation without wind (33 cases), upper layer thawing due to warming (34), high snow cover (28), and storm impact (16). The DBSCAN method revealed two anomalous cases related to extreme snow depth. Correlation analysis revealed significant relationships between avalanches and meteorological parameters such as air temperature, snow cover depth, wind speed and direction, precipitation, and relative humidity. Correlation analysis revealed both negative and positive relationships between meteorological parameters. Principal component analysis identified the most significant variables affecting avalanche activity, with temperature, snow cover height, and wind making the greatest contributions. Cluster analysis demonstrated that avalanches could occur under different combinations of weather conditions within the same areas, confirming the complex nature of avalanche-forming processes. The results emphasize the need for an integrated approach to avalanche forecasting that accounts for the multi-parametric interactions of meteorological factors, and may contribute to the improvement of avalanche risk monitoring and mitigation systems in mountain regions.https://www.mdpi.com/2073-4433/16/6/723meteorological factorsGeographic Information Systems (GIS)climatic conditionsavalanchesmachine learning |
| spellingShingle | Marzhan Rakhymberdina Natalya Denissova Yerkebulan Bekishev Gulzhan Daumova Milan Konečný Zhanna Assylkhanova Azamat Kapasov Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan Atmosphere meteorological factors Geographic Information Systems (GIS) climatic conditions avalanches machine learning |
| title | Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan |
| title_full | Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan |
| title_fullStr | Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan |
| title_full_unstemmed | Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan |
| title_short | Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan |
| title_sort | investigation of the regularities of the influence of meteorological factors on avalanches in eastern kazakhstan |
| topic | meteorological factors Geographic Information Systems (GIS) climatic conditions avalanches machine learning |
| url | https://www.mdpi.com/2073-4433/16/6/723 |
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