Assessment of the protective potential of the Moscow region soil cover to contamination with heavy metals and metalloids

https://doi.org/10.35595/2414-9179-2021-4-27-92-104

View or download the article (Rus)

About the Authors

Irina O. Alyabina

Lomonosov Moscow State University, Faculty of Soil Science,
Leninskie Gory 1, 12, 119992, Moscow, Russia;
E-mail: alyabina@soil.msu.ru

Olga V. Chernova

Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences,
Leninskii pr. 33, 119071, Moscow, Russia;
E-mail: ovcher@mail.ru

Vasilisa A. Kirillova

Lomonosov Moscow State University, Faculty of Soil Science,
Leninskie Gory 1, 12, 119992, Moscow, Russia;
E-mail: fekda-star@mail.ru

Oleg M. Golozubov

Lomonosov Moscow State University, Faculty of Soil Science,
Leninskie Gory 1, 12, 119992, Moscow, Russia;
E-mail: oleggolozubov@gmail.com

Sergey A. Shoba

Lomonosov Moscow State University, Faculty of Soil Science,
Leninskie Gory 1, 12, 119992, Moscow, Russia;
E-mail: s.a.shoba1945@gmail.com

Abstract

Heavy metals and other trace elements that are not subject to degradation are among the priority pollutants. Significant amounts of heavy metals and related elements with variable valence are deposited on the soil surface as part of aerosols. Accumulating in the soil, they are very slowly removed from it, only changing the level of content or the state during migration, turning the soil over time into a source of secondary pollution. In this regard, an extremely urgent task is to assess the territory, especially such a highly developed and densely populated area as the Moscow Region, in terms of its protective potential to heavy metal pollution.

The paper proposes and tested an algorithm for the cartographic assessment of the protective potential of the soil and vegetation cover of the region using GIS analysis methods based on the database “Digital medium-scale soil map of the Moscow region” and a vector map of forest cover. The formula used for calculations includes data on the soil texture, the content of organic matter in soil, the position of the soil in the landscape and the degree of forest cover of the territory.

According to the proposed approach, in the Moscow region, the soil cover, taking into account the forest cover, forms 4 groups according to the level of protective potential for contamination with heavy metals and metalloids. The maximum estimate was obtained for noneroded sod-podzolic soils of medium or fine texture, gray forest soils, chernozems and peat bog soils under forest vegetation (17 % of the area). Unerroded soddy-podzolic soils of varying degrees of podzolization and gleying (45 %) received an average rating. Even lower is the protective potential of 22 % of the territory represented by eroded gray forest soils, various sod-podzolic, alluvial and peat bog soils. This group is the most heterogeneous in terms of soil texture, organic matter content and degree of forest cover. The group with a minimum protective potential included eroded soils, soils of gully-girder complexes, sod-podzolic soils of coarst texture, as well as alluvial peat and peaty soils (about 16 %).

Keywords

GIS technologies, Information System “Soil-Geographical Database of Russia”, soil sustainability.

References

  1. Carinon C. Derivation methods of soil screening values in Europe. A review and evaluation of national procedures towards harmonization. Ispra: European Commission. 2007. 306 p.
  2. Chernitsova O.V., Kasimov N.S., Koroleva T.V., Krechetov P.P. GIS-technologies for the assessment of the environmental impact of booster launching. Vestn. Mosk. un-ta. Ser. 5. Geografiya 2010. No. 2. P. 19–25 (in Russian).
  3. Chernogaeva G.M., Zhadanovskaya E.A., Malevanov Yu.A. Sources of pollution and the quality of atmospheric air in the Moscow region. Izvestiya RAS. Geographical Series, 2019. No. 2. P. 109–116. DOI: 10.31857/S2587-556620192109-116 (in Russian).
  4. De Paz J-M., Sánchez J., Visconti F. Combined use of GIS and environmental indicators for assessment of chemical, physical and biological soil degradation in a Spanish Mediterranean region. Journal of Environmental Management. 2006. V. 79. Issue 2. P. 150–162. DOI: 10.1016/j.jenvman.2005.06.002.
  5. Kabata-Pendias A., Szteke B. Trace elements in abiotic and biotic environments. CRC Press, Taylor & Francis group, London, New York, 2015. 458 p.
  6. Mohamed E.S., Saleh A.M., Belal A.A. Sustainability indicators for agricultural land use based on GIS spatial modeling in North of Sinai-Egypt. The Egyptian Journal of Remote Sensing and Space Science. 2014. V. 17. Issue 1. P. 1-15. DOI: 10.1016/j.ejrs.2014.05.001.
  7. Molochko A.V. The use of GIS technologies in assessing the degree of stability of the territory to oil and oil products pollution (on the example of industrial oil production areas in the Saratov region). Izvestiya Saratovskogo universiteta. New series. Series: Earth Sciences. 2009. V. 9. No. 2. P. 13–18 (in Russian).
  8. Snakin V.V., Alyabina I.O., Krechetov P.P. Ecological assessment of soil resistance to anthropogenic impact. Izvestiya RAS. Geographical Series, 1995. No. 5. P. 50–57 (in Russian).

For citation: Alyabina I.O., Chernova O.V., Kirillova V.A., Golozubov O.M., Shoba S.A. Assessment of the protective potential of the Moscow region soil cover to contamination with heavy metals and metalloids InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 4. P. 92–104. DOI: 10.35595/2414-9179-2021-4-27-92-104 (In Russian)