EMPIRICAL MODELS FOR ASSESSING SHEET SOIL EROSION BASED ON GEOINFORMATION ANALYSIS OF REMOTE SENSING DATA (A CASE STUDY OF THE ZHAMBYL REGION)

Main Article Content

Gabit Yessimbekov
Nurgul Ramazanova
Turlybek Musabaev

Abstract

This article focuses on the development of a methodology and the practical aspects of analysing the geography of international conflicts using a system of geopolitical indicators. The relevance of this research stems from the growing number of regional and interregional conflicts, as well as the increasing complexity of their spatial structure and the factors influencing escalation processes. A comprehensive approach to the typology of international geopolitical conflicts is proposed, based on a three-factor matrix comprising chorological (spatio-temporal), causal and political-administrative components. A key element is the identification of the cause-and-effect relationships underlying the formation of conflicts, taking into account the specific features of geographical location, political infrastructure, as well as economic and ethno-cultural prerequisites. A concept has been developed for the application of a system of geopolitical indicators as a tool for early warning and pre-emptive response to potential hotspots of tension. The research methodology is based on a synthesis of contemporary scientific approaches to conflict analysis, as well as on the integration of spatial modelling and geopolitical diagnostic methods.
The practical significance of the work lies in the possibility of applying the developed system to assess the conflict potential of specific territories, forecast the dynamics of conflict development, and formulate effective policy and management decisions. The established interconnection between political processes and the geographical context confirms the need for a comprehensive analysis of the geospatial nature of international conflicts.
The results of the study can be utilised in the context of foreign policy planning, monitoring of international security, as well as in educational and research-analytical activities.

Article Details

Section
Geoinformation technologies
Author Biographies

Gabit Yessimbekov, L. N. Gumilyov ENU, «Respublican Center for State Urban Planning and Cadastre» RSE

PhD doctoral student, Senior Specialist (L. N. Gumilyov ENU, «Respublican Center for State Urban Planning and Cadastre» RSE, Astana, Kazakhstan; Gabitnisa@gmail.com.)

Nurgul Ramazanova, L. N. Gumilyov ENU

PhD, Associate Professor (L. N. Gumilyov ENU, Astana, Kazakhstan; Nurgulram@gmail.com.)

Turlybek Musabaev, L. N. Gumilyov ENU, «Respublican Center for State Urban Planning and Cadastre» RSE

Doctor of technical sciences, professor, General Director (L. N. Gumilyov ENU, «Respublican Center for State Urban Planning and Cadastre» RSE, Astana, Kazakhstan; eti.enu@mail.ru)

References

Глазовская М. А. Общая геохимия ландшафтов. – М. : Высшая школа, 1981. – 327 с.

Тлеумаханов А. М., Мырзахметов С. Б. Оценка эрозионных процессов методом ДЗЗ в условиях Южного Казахстана // Вестник КАЗНИИЗиКР. – 2015. – №2. – С. 58–64.

Комитет по управлению земельными ресурсами МИР РК. Государственный отчет о состоянии и использовании земель Республики Казахстан за 2023 год. – URL: https://www.gov.kz/memleket/entities/qoldau/documents/details/460741

РГП «Казгидромет». Агрометеорологический обзор. URL: https://www.kazhydromet.kz

Phinzi, K., Ngetar, N.S., 2019. The assessment of water-borne erosion at catchment level using GIS-based RUSLE and remote sensing: A review. International Soil and Water Conservation Research 7(1), 27–46. https://doi.org/10.1016/j.iswcr.2018.12.002

Mukanov, Y., Chen, Y., Baisholanov, S. et al. Estimation of annual average soil loss using the Revised Universal Soil Loss Equation (RUSLE) integrated in a Geographical Information System (GIS) of the Esil River basin (ERB), Kazakhstan. Acta Geophys. 67, 921–938 (2019). https://doi.org/10.1007/s11600-019-00288-0

Ramazanova, N., Turyspekova, E., Assylbekov, K., Ozgeldinova, Z., Ahmedova, A., Ayapbekova, A., Samarkhanov, T., & Khamzaeva, J. (2023). Soil erosion and impact on recreational resources in the Shyngyrlau Basin, Western Kazakhstan: A multi-analytical assessment. GeoJournal of Tourism and Geosites, 51(4spl), 1812–1822. https://doi.org/10.30892/gtg.514spl22-1177

Токсанбаева С. Т., Рамазанова Н. Е., Тусупбеков Ж. А. Оценка эрозии почв по модели «Rusle» бассейна реки Нура // Journal of Geography and Environmental Management. – 2021. – Т. 61, № 2. – С. 108–119. – DOI: 10.26577/JGEM.2021.v61.i2.10.

Маханова Н. Б., Берденов Ж. Г., Абильдинов К. К., Мендыбаев Е. Х. Оценка эрозии почв по модели «RUSLE» бассейна реки Жыланды // Journal of Geography and Environmental Management. – 2020. – Т. 59, № 4. – DOI: 10.26577/JGEM.2020.v59.i4.05.

Kaliyeva, D., Tokbergenova, A., Mirzabaev, A., Zulpykharov, K., Bissenbayeva, S., Taukebayev, O. & Qadir, M. (2025). Assessing Soil Erosion Risk in Kazakhstan: A RUSLE-Based Approach for Land Rehabilitation. Polish Journal of Environmental Studies, 34(3), 3187–3198. https://doi.org/10.15244/pjoes/187595

Акиянова Ф., Каракулов Е., Зинабдин Н., Васильченко Н. Применение методов анализа дистанционных данных для оценки плоскостной эрозии на примере территории Акмолинской области. Гидрометеорология и экология. – 2019. – №(2), – С. 22–37.

Rakhimova, M., Zulpykharov, K., Assylbekova, A., Zhengissova, N., & Taukebayev, O. (2024). Using the Revised Universal Soil Loss Equation and Global Climate Models (CMIP6) to Predict Potential Soil Erosion Associated with Climate Change in the Talas District, Kazakhstan. Sustainability, 16(2), 574. https://doi.org/10.3390/su16020574

Duulatov E, Chen X, Amanambu AC, Ochege FU, Orozbaev R, Issanova G, Omurakunova G. Projected Rainfall Erosivity Over Central Asia Based on CMIP5 Climate Models. Water. 2019; 11(5):897. https://doi.org/10.3390/w11050897

Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C. Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). USDA Handbook No. 703. – Washington, D.C.: USDA, 1997. – 404 p.

Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., Alsdorf, D. The Shuttle Radar Topography Mission // Reviews of Geophysics. 2007. Vol. 45(2), RG2004. DOI: 10.1029/2005RG000183

Esri. Land Cover Explorer. – URL: https://livingatlas.arcgis.com/landcoverexplorer (дата обращения: 12.06.2025).

Fick, S.E., Hijmans, R.J. WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas // International Journal of Climatology. 2017. Vol. 37(12). P. 4302–4315. DOI: 10.1002/joc.5086

Wischmeier, W.H., Smith, D.D. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. – USDA Agriculture Handbook No. 537. – Washington, D.C.: U.S. Department of Agriculture, 1978. – 64 p.

Renard K. G., Freimund J. R. Using monthly precipitation data to estimate the R-factor in the revised USLE //Journal of hydrology. – 1994. – V. 157, №. 1-4. – P. 287-306.

FAO/IIASA/ISRIC/ISSCAS/JRC. Harmonized World Soil Database (version 1.2). Rome: FAO and Laxenburg: IIASA, 2012. URL: https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v12/en/

Panagos, P., Borrelli, P., Meusburger, K., Yu, B., Klik, A., Jae Lim, K., Yang, J.E., Ni, J., Miao, C., Chattopadhyay, N., Sadeghi, S.H., Hazbavi, Z., Zabihi, M., Larionov, G.A., Krasnov, S.F., Gorobets, A., Levi, Y., Erpul, G., Birkel, C., Hoyos, N., Naipal, V., Verstraeten, G. Global rainfall erosivity assessment based on high-temporal resolution rainfall records // Scientific Reports. 2015. Vol. 5. Article 11111. https://doi.org/10.1038/srep11111

Borrelli, P., Alewell, C., Alvarez, P., Anache, J. A. A., Baartman, J., Ballabio, C., Bezak, N., Biddoccu, M., Cerdà, A., Chalise, D., Chen, S., Chen, W., De Girolamo, A. M., Gessesse, G. D., Deumlich, D., Diodato, N., Efthimiou, N., Erpul, G., Fiener, P., Panagos, P. Soil erosion modelling: A global review and statistical analysis // Science of the Total Environment. 2021. Vol. 780. Article 146494. https://doi.org/10.1016/j.scitotenv.146494

IPCC. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 2021. https://doi.org/10.1017/9781009157896