| Issue |
E3S Web of Conf.
Volume 539, 2024
III International Conference on Agriculture, Earth Remote Sensing and Environment (RSE-III-2024)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 5 | |
| Section | Ecology, Environmental Protection and Conservation of Biological Diversity | |
| DOI | https://doi.org/10.1051/e3sconf/202453901026 | |
| Published online | 17 June 2024 | |
Assessment of heavy metal contamination of soils in the Republic of Tatarstan using complex pollution indices NPI, RI, BGI
1 Kazan Federal University, 18, Kremlyovskaya St., Kazan, 420008, Russian Federation
2 Kazan State Medical Academy – Russian Medical Academy of Continuous Professional Education, 36, Butlerova St., Kazan, 420012, Russian Federation
3 Kazan State Academy of Veterinary Medicine named after N E Bauman, 35, Sibirskiy Trakt St., Kazan, 420029, Russian Federation
* Corresponding author: SdamirV5@yandex.ru
In this study, in most cases in soils susceptible to the accumulation of heavy metals, the highest content of heavy metals was observed in the surface layers of the soil profile. We calculated the values of three pollution indices based on the determination of individual heavy metals (Al, As, Cd, Pb, Sr) and pollutants (Cu, Co, Cr, Zn, Mn, Fe, Mo, Ni) in the territory of the Republic of Tatarstan. The overall degree of pollution and environmental risk assessment were carried out using complex indices NPI and RI. The possibility of accumulation of individual elements in soil horizons was determined using the iogeochemical index BGI. The content of heavy metals in the soils of the Republic of Tatarstan, such as As, Pb, Co, Cu, Fe in the soil horizons was several times higher than the natural content of these metals, which is confirmed by three calculated indicators, taking into account that the values obtained for the O horizon using NPI indices and RI are consistent with each other, and BGI is consistent for individual elements (As, Pb, Co, Cu, Fe, Cd, Cr, Mn and Mo).
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.