Zobrazeno 1 - 10 of 28 pro vyhledávání: '"K G Giniyatullin"'
1
Akademický článek
Evaluation of the content and degradation rates of PAHs in biochars, in terms of assessing the environmental risks of their application for soil remediation
Autor: R. V. Okunev, E. V. Smirnova, K. G. Giniyatullin
Publikováno v: Georesursy, Vol 25, Iss 3, Pp 227-235 (2024)
The growing worldwide practice of biochar application as soil ameliorants, as well as adsorbents for remediation of soil contaminated with oil products and heavy metals, can lead to an increase the risk of environmental pollution by pyrolysis by-prod
Externí odkaz: https://doaj.org/article/df39d3bde95243129e9a041df247a209
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2
Akademický článek
Influence of carbon sorbents on the potential ability of soils to self-cleaning from petroleum pollution
Autor: E. V. Smirnova, R. V. Okunev, K. G. Giniyatullin
Publikováno v: Georesursy, Vol 24, Iss 3, Pp 210-218 (2024)
In a laboratory experiment, the ability of the soil to self-cleaning under heavy petroleum pollution and the effect of biochars and shungites on the cleaning process were studied. Incubation of contaminated soils for 28 days at a constant humidity an
Externí odkaz: https://doaj.org/article/bb0d3c963c4d414ca8f9478a44eed313
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3
Akademický článek
Digital mapping of indicators that determine the sorption properties of soils in relation to pollutants, according to remote sensing data of the Earth using machine learning
Autor: K. G. Giniyatullin, I. A. Sahabiev, E. V. Smirnova, I. A. Urazmetov, R. V. Okunev, K. A. Gordeeva
Publikováno v: Georesursy, Vol 24, Iss 1, Pp 84-92 (2024)
According to the data of remote sensing of the Earth, the accuracy of the spatial prediction of soil indicators determining sorption properties in relation to pollutants was compared. To build spatial maps of changes in soil properties, machine learn
Externí odkaz: https://doaj.org/article/30f98aed5b574f4c9eca2707c7e7466c
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4
Spatial Prediction of Agrochemical Properties on the Scale of a Single Field Using Machine Learning Methods Based on Remote Sensing Data
Autor: E. V. Smirnova, Ilnas Sahabiev, K. G. Giniyatullin
Publikováno v: Agronomy
Volume 11
Issue 11
Agronomy, Vol 11, Iss 2266, p 2266 (2021)
Creating accurate digital maps of the agrochemical properties of soils on a field scale with a limited data set is a problem that slows down the introduction of precision farming. The use of machine learning methods based on the use of direct and ind
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d35e7deccb7ecb08e82135f7c5a0eec
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7
Evaluation of the lipid fraction of pyrochars organic matter in the aspect of negative effects on soil
Autor: R. V. Okunev, E. V. Smirnova, K. G. Giniyatullin, Irina Guseva
Publikováno v: BIO Web of Conferences, Vol 17, p 00156 (2020)
The evaluation of the possible negative effect of pyrochars on soils based on the analysis of the content of lipid fraction and polycyclic aromatic hydrocarbons (PAHs) of organic matter was evaluated. Eight species of pyrochar were obtained from the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64746277f577780985409adf5be7d776
https://www.bio-conferences.org/articles/bioconf/full_html/2020/01/bioconf_fies2020_00156/bioconf_fies2020_00156.html
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8
Assessment of the influence of carbonate samples on the spatial heterogeneity of soil properties prediction by ATR-FTIR spectrometry in arable chernozem
Autor: R V Okunev, E V Smirnova, K G Giniyatullin, R G Kadyrova
Publikováno v: IOP Conference Series: Earth and Environmental Science. 979:012178
The introduction of fertilizers differentiated application system and the deterioration of the ecological state of the environment contributes to an increase in the frequency of soil properties examination. However, due to the high cost of classical
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29307e53aaa6a0a458c45fec5ec2bdc7
https://doi.org/10.1088/1755-1315/979/1/012178
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9
Application of cluster and discriminant analyses to diagnose lithological heterogeneity of the parent material according to its particle-size distribution
Autor: K. G. Giniyatullin, E. V. Smirnova, A. A. Valeeva
Publikováno v: Eurasian Soil Science. 50:917-924
Particle-size distribution in soddy-podzolic and light gray forest soils of the Botanical Garden of Kazan Federal University has been studied. The cluster analysis of data on the samples from genetic soil horizons attests to the lithological heteroge
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ad63642cd4a5ab1fd2c17737197b4ca
https://doi.org/10.1134/s106422931708004x
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