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ORIGINAL RESEARCH
Evaluation of Natural Fire Hazard Factors
of the Forest Area in the Kostanay Region
1
L.N.Gumilyov Eurasian National University, Astana, Kazakhstan
2
Shakarim University of Semey, Semey, Kazakhstan
3
Republican Forest Breeding and Seed Center
Submission date: 2024-01-19
Final revision date: 2024-03-06
Acceptance date: 2024-05-03
Online publication date: 2024-09-19
Publication date: 2025-01-28
Corresponding author
Ulykpanova Meruert
Department of Physical and Economical Geography, L. N. Gumilyev Eurasian National University, Astana, Kazakhstan
Department of Physical and Economical Geography, L. N. Gumilyev Eurasian National University, Astana, Kazakhstan
Pol. J. Environ. Stud. 2025;34(3):2939-2949
KEYWORDS
TOPICS
ABSTRACT
This study is conducted to determine the degree of natural fire hazard in the territory of the Kostanay
region using remote sensing data. The Kostanay region belongs to the group of heightened danger
with favorable climatic conditions for the occurrence of fires. The combination of insufficient moisture
with a shift towards a more arid continental climate creates a natural environment for the occurrence
of forest fires. This work aims to improve the methodology for the integrated assessment of natural
factors and conditions influencing the occurrence of forest fires using remote sensing data, allowing to
determination of the degree of natural fire hazard in the territory of the Kostanay region. For the integrated
assessment of natural fire hazards using remote sensing data, we identified and mapped the main
natural factors (fuel, geomorphological, and meteorological) influencing the occurrence of forest fires.
The verification of the developed zoning models for the territory based on the degree of risk of occurrence
and the intensity of the spread of forest fires, grounded on the study of ignition points, confirmed
the accuracy of the identified zones. The majority of fires occur in high and extreme-risk zones.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (29)
1.
ABATZOGLOU J.T., WILLIAMS A.P. Impact of anthropogenic climate change on wildfire across western US forests. Proceedings of the National Academy of Sciences, 113 (42), 11770, 2016. https://doi.org/10.1073/pnas.1... PMid:27791053 PMCid:PMC5081637.
2.
KURBATSKY, N.P. Methodological guidelines for the experimental development of fire hazard scales, L.: Central Scientific Research Institute of Forestry. 33, 1954.
3.
SOFRONOV, M.A. The influence of relief on forest fires in the Western Sayan, Forest fires and the fight against them. M.: USSR Academy of Sciences, 127, 1963.
4.
DUPIRE S., CURT T., BIGOT S., FRÉJAVILLE T. Vulnerability of forest ecosystems to fire in the French Alps, European Journal of Forest Research, 138 (4), 1, 2019. https://doi.org/10.1007/s10342....
5.
VACCHIANO G., FODERI C., BERRETTI R., MARCHI E., MOTTA R. Modeling anthropogenic and natural fire ignitions in an inner-alpine valley, Natural Hazards and Earth System Sciences, 18, 935, 2018. https://doi.org/10.5194/nhess-....
6.
DICHENKOV, N.A. Geography of reserves of forest combustible materials, Forestry information, 5, 33, 1992.
8.
GRYAZKIN A.V., GUROV S.V., BELYAEVA N.V., KOVALEV N.V., DADOKHA A.N. Mathematical model of natural forest regeneration, Proceedings of the Saint Petersburg State Forest Technical Academy, 197, 247, 2011.
9.
KOMAROVA E.P., MALYUKOV S.V. Dynamics of renewal of areas covered by forest fires, Current directions of scientific research of the XXI century: theory and practice, 5 (3), 48, 2014. https://doi.org/10.12737/6922.
10.
GAVRILOVA O.I., PAK K.A. Restorative successions after fires in lingonberry pine forests of South Karelia, Improving the efficiency of the forest complex: Mater. All-Russian scientific and practical conference with international with participation on May 22, 275, 2017.
11.
ILYICHEV YU.N., BUSHKOV N.T. The influence of fires and burning logging on soil and environmental factors of natural renewal, Siberian Ecological Journal, 6, 861, 2011.
12.
KOVALEVA N.M. IVANOVA G.A., KUKAVSKAYA E.A. Restoration of ground cover after grass-roots fires in middle taiga pine forests, Forest science, 5, 30, 2011.
13.
SOFRONOV M.A., VOLOKITINA A.V. Methodology of psychological examination and description of forest areas covered by fires, Krasnoyarsk: V.N. Sukachev Institute of Forest SB RAS, 71, 2007.
14.
TSVETKOV, P.A. Pyrogenic properties of Gmelin larch in the northern taiga of Central Siberia: abstract. Dissertation of the Doctor of Biological Sciences: 06.03.03. Krasnoyarsk, 40, 2005.
15.
Atlas of natural and man-made hazards and emergency risks of the Republic of Kazakhstan, Almaty, 280, 2005.
16.
SCHROEDER W., OLIVA P., GIGLIO L., QUAYLE B., LORENZ E., MORELLI F. Active fire detection using Landsat-8/OLI data, Remote sensing of environment, 185, 210, 2016. https://doi.org/10.1016/j.rse.....
17.
ROBERT S.A., JOSHUA M.J., GREGORY C., SION J. Airborne optical and thermal remote sensing for wildfire detection and monitoring, Sensors, 16 (8), 1310, 2016. https://doi.org/10.3390/s16081... PMid:27548174 PMCid:PMC5017475.
18.
HUETE, A., DIDAN, K., MIURA, T., RODRIGUEZ, E. P., GAO, X., FERREIRA, L. G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote sensing of environment, 83 (2), 195, 2002. https://doi.org/10.1016/S0034-... PMCid:PMC8983301.
19.
POSTNOV A.D., MASLENNIKOV D.A., KATAEVA L.YU., LOSHILOV S.A. The effect of flow effects on the dynamics of a natural fire in conditions of heterogeneity of the relief, Modern problems of science and education, 6, 2013.
20.
PARKS S.A., DILLON G.K., MILLER C. A new metric for quantifying burn severity: the relativized burn ratio, Remote Sensing, 6 (3), 1827, 2014. https://doi.org/10.3390/rs6031....
21.
PARKS S.A., HOLSINGER L.M., PANUNTO M.H., JOLLY W.M., DOBROWSKI S.Z., DILLON G.K. High-severity fire: evaluating its key drivers and mapping its probability across western US forests, Environmental research letters, 13 (044037), 2018. https://doi.org/10.1088/1748-9....
22.
KANE V.R., CANSLER C.A., POVAK N.A., KANE J.T. MC GAUGHEY R.J., LUTZD J.A., CHURCHILL D.J., NORTH M.P. Mixed severity fire effects within the Rim fire: relative importance of local climate, fire weather, topography, and forest structure, Forest Ecology and Management, 358, 62, 2015. https://doi.org/10.1016/j.fore....
24.
MÜLLER M.M., VILARDELL L.V., VACIKA H. Towards an integrated forest fire danger assessment system for Evaluation of Natural Fire... 2949 the European Alps, Ecological Informatics, 60 (101151), 2020. https://doi.org/10.1016/j.ecoi....
25.
CONEDERA M., KREBS P., VALESE E., COCCA G., SCHUN C., MENZEL A., VACIK H., CANE D., JAPELJ A., MURI B., RICOTTA C., OLIVERI S., PEZZATTI G.B. Characterizing alpine pyrogeography from fire statistics, Applied Geography, 98, 87, 2018. https://doi.org/10.1016/j.apge....
26.
MAXWELL J.D., ANSON CALL A., CLAIR S.B. ST. Wildfire and topography impacts on snow accumulation and retention in montane forests, Forest Ecology and Management, 432, 256, 2019. https://doi.org/10.1016/j.fore....
27.
TURYUZHANOVA A.T., NURMAGAMBETOVA A.M. Comprehensive socio-economic analysis of the Kostanay region, Bulletin of L.N.Gumilyov ENU. Chemistry. Geography. Ecology Series, 3 (136), 63, 2021. https://doi.org/10.32523/2616-....
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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