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Long-term dynamics of open sand areas in the Astrakhan Volga region according to remote sensing data

https://doi.org/10.32786/2071-9485-2024-01-14

Abstract

Summary. The article presents an analysis of the relationship of climatic data with the dynamics of the areas of open sand massifs identified using remote sensing data in the south of the Astrakhan Volga region over the last decade (2014-2023).

Introduction. Throughout the entire territory of the Caspian lowland, including the Astrakhan Trans-Volga region, in recent years there has been an increase in the frequency and intensification of dust storms, while winds reaching deflation-dangerous speeds also lead to an increase in the areas occupied by open sands. The aim of the work was to study the dynamics of the areas of open sands for 2014-2023 and the influence of climatic factors (precipitation and wind conditions) on it.

Object. The study was conducted on the territory of the Kharabalinsky and Krasnoyarsk districts of the Astrakhan region (south of the Astrakhan Volga region). The territory is characterized by a flat relief and belongs to the dry-steppe and semi-desert natural zones.

Materials and methods. Mapping was carried out on the basis of visual interpretation of satellite images "Landsat-8, 9" (in "natural colors" and with the addition of IR) for the end of August and beginning of September. Data on wind conditions, dust storms and annual precipitation amounts from weather stations in Dosang and Kharabali were used. "QGIS" and "MS Excel" were used for processing raster, vector and statistical data.

Results and conclusions. According to the results of decryption, a total of 524 thousand hectares of open sands were identified for the entire period of the study (more than 160 thousand objects). The largest areas of open sands were identified in 2020, the smallest – in 2023. A strong positive relationship between the area of sand massifs and climatic factors (critical wind speeds and dust storms) was revealed. The reduction of the visible deciphered area of sands is associated with the growth of psammophytes, mainly annual. The results of the study are applicable in further studies of desertification in the Astrakhan region and adjacent regions, as well as in the development of reclamation measures.

About the Authors

V. V. Doroshenko
Federal Scientific Center of Agroecology, Complex Melioration and Protective Afforestation of the Russian Academy of Sciences
Russian Federation

Doroshenko Valeria Vitalievna, Junior Researcher, Laboratory of Geoinformation Modeling and Mapping of Agroforestry Landscapes

Russian Federation, 400062, Volgograd, Universitetskiy Ave., 97



A. V. Melihova
Federal Scientific Center of Agroecology, Complex Melioration and Protective Afforestation of the Russian Academy of Sciences
Russian Federation

Melihova Alina Vladimirovna, Research assistant, Laboratory of Geoinformation Modeling and Mapping of Agroforestry Landscapes 

Russian Federation, 400062, Volgograd, Universitetskiy Ave., 97



References

1. Berdengalieva A. N., Doroshenko V. V. Spatial distribution of sor depressions in the south of European Russia according to remote sensing data. Scientific and Agronomic Journal. 2022. № 4 (119). Pp. 6-11.

2. Doroshenko V. V. Geoinformation mapping of sor depressions and salt marshes in the Stavropol territory. Izvestiya NV Auk. 2022. № 4 (68). Pp. 553-561.

3. Doroshenko V. V. Geoinformation analysis of the development of desertification processes in the Stavropol Territory. Scientific and agronomic Journal. 2022. № 3 (118). Pp. 31-36.

4. Doroshenko V. V., Melikhova A.V. Assessment of desertification manifestations in the Astrakhan Volga region according to remote sensing data. Proceedings of the Nizhnevolzhsky agrouniversitetskiy complex: Science and Higher professional education. 2023. № 2 (70). Pp. 239-246.

5. Kalendzhyan T. V. Regional climate features of the Astrakhan region. Modern problems of geography: Interuniversity collection of scientific papers. Astrakhan: Astrakhan State University, 2019. V. 4. Pp. 132-135.

6. Kravchenko A. S., Yuferev V. G., Shinkarenko S. S. Geoinformation analysis of landscapes of the Astrakhan Volga region. Proceedings of the Nizhnevolzhsky agrouniversitetskiy complex: Science and Higher professional education. 2017. № 4 (48). Pp. 154-163.

7. Kulik K. N., Petrov V. I., Yuferev V. G., Tkachenko N. A., Shinkarenko S. S. Geoinformational analysis of desertification of the northwestern Caspian. Arid ecosystems. 2020. Vol. 26. No. 2 (83). Pp. 16-24.

8. Lepesco V. V., Rybashlykova L. P. The current condition and ecological ameliorative value of tree and shrub ecosystems on the fixed sands of the Astrakhan Volga region. Land reclamation. 2019. № 2 (88). Pp. 69-72.

9. Melikhova A. V. Geoinformation analysis of the relief of the Astrakhan Volga region. Natural systems and resources. 2023. Vol. 13. No. 1. Pp. 39-43.

10. Melikhova A. V. Mapping of desertification processes in the Astrakhan Volga region using GIS technologies. Scientific and Agronomic Journal. 2023. № 3 (122). Pp. 40-45.

11. Stambekov M. D., Polyakova S. E. Meteorological conditions of storm wind and dust storm in Atyrau region in January 2021. Geographical Bulletin. 2021. № 3 (58). Pp. 130-141.

12. Tyutyuma N. V., Bulakhtina G. K. The problem of desertification of the arid zone of the Astrakhan region in the conditions of climate change and increased anthropogenic impact. Proceedings of the Institute of Geology of the Dagestan Scientific Center of the Russian Academy of Sciences. 2016. No. 67. Pp. 68-70.

13. Shinkarenko S. S., Bartalev S. A. Assessment of the area of desertification in the south of the European part of Russia in 2021. Modern problems of remote sensing of the Earth from space. 2021. Vol. 18. No. 4. Pp. 291-297.


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Doroshenko V.V., Melihova A.V. Long-term dynamics of open sand areas in the Astrakhan Volga region according to remote sensing data. Title in english. 2024;(1 (73)):135-143. (In Russ.) https://doi.org/10.32786/2071-9485-2024-01-14

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