Geoecological assessment of water bodies in the drainage basin of the White Sea based on geomorphometric analysis of the relief
- Autores: Polyakova E.1, Kutinov Y.1, Chistova Z.1, Mineev A.1
-
Afiliações:
- Laverov Federal Center for Integrated Arctic Research, Ural branch RAS
- Edição: Nº 1 (2024)
- Páginas: 60-72
- Seção: ЗАГРЯЗНЕНИЕ ПРИРОДНОЙ СРЕДЫ
- URL: https://journals.rcsi.science/0869-7809/article/view/260047
- DOI: https://doi.org/10.31857/S0869780924010078
- EDN: https://elibrary.ru/GNTOQA
- ID: 260047
Citar
Resumo
In the article, the authors considered the eastern part of the White Sea drainage basin within the administrative boundaries of the Arkhangelsk region. The aim of the study was to assess the potential predisposition of the main rivers inf the Arkhangelsk region to the drift and accumulation of sedimentary material (including polluting material) based on the calculation of the geomorphometric parameters of the relief. Analysis of pollution sources at the global (European Center for Environmental Destabilization), regional (Kola industry) and local levels (enterprises of the Arkhangelsk region) showed that the region is a recipient of pollution. The main route of pollutant transport is atmospheric, which is further transformed during floods. At the local level, the transfer is carried out due to the runoff of water. In all of the above options, the nature of the relief has a dominant role in the redistribution of pollution. Each type of transport can be taken into account and evaluated when calculating the geomorphometric parameters of the relief, which quantitatively demonstrate the potential predisposition of the territory to the drift, transit and accumulation of sedimentary material. The high role of drainless depressions as receivers and accumulators of pollution in the calculation of runoff into surface and groundwater and the transfer of material, both in ionic and suspended form, is shown. Based on the calculation of such parameters as Topographic Wetness Index (TWI), Terrain Ruggedness Index (TRI), LS factor, it was concluded that in the basins of such large rivers of the Arkhangelsk region as the Northern Dvina and Pinega, the processes of washout and transit, and, as a result, the pollution transfer prevail. In the basins of the Onega and Mezen rivers, accumulation of sedimentary material is predominant.
Texto integral
Sobre autores
E. Polyakova
Laverov Federal Center for Integrated Arctic Research, Ural branch RAS
Autor responsável pela correspondência
Email: lenpo26@yandex.ru
Rússia, Nikolskii prospect 20, Arkhangelsk, 163020
Yu. Kutinov
Laverov Federal Center for Integrated Arctic Research, Ural branch RAS
Email: lenpo26@yandex.ru
Rússia, Nikolskii prospect 20, Arkhangelsk, 163020
Z. Chistova
Laverov Federal Center for Integrated Arctic Research, Ural branch RAS
Email: lenpo26@yandex.ru
Rússia, Nikolskii prospect 20, Arkhangelsk, 163020
A. Mineev
Laverov Federal Center for Integrated Arctic Research, Ural branch RAS
Email: lenpo26@yandex.ru
Rússia, Nikolskii prospect 20, Arkhangelsk, 163020
Bibliografia
- Bulavina, A.S. [Zoning of water catchment area of the White Sea by the degree of continental runoff impact on the seawater environment]. Vestnik MGTU, 2018, vol. 21, no. 1, pp. 117–127. (in Russian) https://doi.org/10.21443/1560-2018-21-1-117-127
- Georgiadi, A.G., Danilenko, A.O. [Perennial changes in water and ionic runoff of the Severnaya Dvina and Pechora rivers]. Vestnik RFFI, 2022, no. 3–4, pp. 103–114. (in Russian) https://doi.org/10.22204/2410-4639-2022-115-116-03-04-103-121
- Zverev, V.P. [Subsurface water in the Earth crust and geological processes]. Moscow, Nauchnyi mir Publ., 2006, 256 p. (in Russian)
- Kutinov, Yu.G., Mineev, A.L., Polyakova E.V., Chistova, Z.B. [Choice of basic digital model of relief (DMR) for north Eurasian plains and its adjustment to geoecological zoning (by the example of the Arkhangelsk region)]. Penza, Sotsiosfera Publ., 2019, 176 p. (in Russian)
- Losev, K.S. [Ecological problems and prospects for the sustainable development of Russia in the 21st century]. Moscow, Kosmoinform Publ., 2001, 399 p. (in Russian)
- Mineev, A.L., Polyakova E.V., Kutinov, Yu.G., Chistova Z.B. [Reliability of digital model of relief of the Arkhangelsk region for conducting geoecological research]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, vol.15, no.4, pp. 58–67. (in Russian) https://doi.org/10.21046/2070-7401-2018-15-4-58-67
- Mikhailov, V.N., Dobrolyubov, S.A. [Hydrology. Textbook for the higher school]. Moscow, Berlin. Direct-Media Publ., 2017, 752 p. (in Russian)
- [On the state and conservation of the environment in the Russian Federation in 2021. State report]. Moscow, Ministry of Natural Resources of Russian Federation, Lomonosov Moscow State University, 2022, 684 p. (in Russian)
- Polyakova, E.V., Kutinov, Yu.G., Mineev, A.L., Chistova, Z.B. [Analysis of applicability of digital relief models ASTER GDEM v2 and ArcticDEM to the study of the Russian Arctic areas]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, vol. 17, no. 7, pp. 117–127. (in Russian) https://doi.org/10.21046/2070-7401-2020-17-7-117-127
- Polyakova, E.V. [Geomorphometric approach to geoecological research of the northern regions of Russia]. Uspekhi sovremennogo estestvoznaniya, 2018, no. 3, pp. 117–122. (in Russian) https://doi.org/10.17513/use.36712
- Polyakova, E.V. [Consideration of geomorphometric relief parameters upon economic activities in the Arkhangelsk region]. Evraziiskii soyuz uchenykh, 2019, no. 3–2(60), pp. 33–37. (in Russian) https://doi.org/10.31618/ESU.2413-9335.2019.2.60.33-37
- Polyakova, E.V., Kutinov, Yu.G., Mineev, A.L., Chistova, Z.B. [Application of geomorphometric analysis of relief upon conducting economic activity in Arkhangelsk region]. Geoekologiya, 2021, no. 2, pp. 86–95. (in Russian) https://doi.org/10.31857/S0869780921020065
- Polyakova, E.V., Kutinov, Yu.G., Mineev, A.L., Chistova, Z.B. [Digital modeling of relief in assessing the probability of erosion development in the northern regions of Russia] // Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, vol. 16, no. 1, pp. 95–104. (in Russian) https://doi.org/10.21046/2070-7401-2019-16-1-95-104
- Polyakova, E.V., Kutinov, Yu.G., Mineev, A.L., Chistova, Z.B., Belenovich, T.Ya. [Application of digital model of relief ASTER GDEM v2 for outlining areas of possible karst development in the territory of Arkhangelsk region]. Uchenye zapiski Kazanskogo universiteta. Ser. Estestvennye nauki, 2021, vol. 163, no. 2, pp. 302–319. (in Russian) https://doi.org/10.26907/2542-064X.2021.2.302-319
- Polyakova, E.V., Kutinov, Yu.G., Chistova, Z.B., Mineev, A.L. [Algorithm of calculating basis surfaces in the digital relief model with SAGA GIS software (by the example of the Arkhangelsk region)]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, vol. 20, no. 3, pp.104–115. (in Russian) https://doi.org/10.21046/2070-7401-2023-20-3-104-115
- Rush, Е.А. [Analysis of methods of geoecological assessment of natural-anthropogenic systems]. Ekologiya promyshlennogo proisvodstva, 2006, no. 3, pp. 2–8 (in Russian)
- Rychagov, G.I. [General geomorphology]. Moscow, Nauka Publ., 2006, 416 p. (in Russian)
- [The White Sea system. Vol. 1. The water drainage environment of the White Sea]. Moscow, Nauchnyi mir Publ., 2010, 480 p. (in Russian)
- Trubitsina, O.P. [Acidic-alkaline specifics of sediments in the coastal zone of the Arkhangelsk region: a retrospective analysis]. Vestnik Severnogo (Arkticheskogo) federal’nogo universiteta. Ser. Estestvennye nauki, 2016, no. 4, pp. 17–25. (in Russian) https://doi.org/10.17238/issn2227-6572.2016.4.17
- Filatov, N.N., Terzhevik, A.Yu. [The White Sea and its catchment area under the effect of climatic and anthropogenic factors]. Petrozavodsk, Karelia Research Centre RAS, 2007, 335 p. (in Russian)
- Geomorphometry: Concepts, Software, Applications. Hengl T., Reuter H. I. (Eds.). Amsterdam, Elsevier. 2009. 796 p.
- Moore, I.D., Grayson, R.B., Ladson, A.R. Digital terrain modelling: a review of hydrological, geomorphological and biological applications. Hydrological processes, 1991, vol. 5(1), pp. 3–30.
- Reily Shawn J., DeGloria Stephen D., Elliot Robert. A Terrain Ruggedness Index That Quantifies Topographic Heterogeneity. Int. Journal of Science, 1999, vol. 5(1–4). pp. 23–27.
- Wang, L., Liu, H. An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modeling. Int. J. Geogr. Inf. Sci., 2006, vol. 20, no. 2, pp. 193–213. https://doi.org/10.1080/13658810500433453