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volume 13 issue 9 pages 5249

Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements

Ruslan Suleymanov 1, 2
Gleb A. Zaitsev 1, 2
Ilgiza Adelmurzina 4, 5
Gulnaz Galiakhmetova 4, 5
Ruslan Shagaliev 5
Publication typeJournal Article
Publication date2023-04-22
scimago Q2
wos Q2
SJR0.521
CiteScore5.5
Impact factor2.5
ISSN20763417
Computer Science Applications
Process Chemistry and Technology
General Materials Science
Instrumentation
General Engineering
Fluid Flow and Transfer Processes
Abstract

Traditional land-use systems can be modified under the conditions of climate change. Higher air temperatures and loss of productive soil moisture lead to reduced crop yields. Irrigation is a possible solution to these problems. However, intense irrigation may have contributed to land degradation. This research assessed the ameliorative potential of soil and produced large-scale digital maps of soil properties for arable plot planning for the construction and operation of irrigation systems. Our research was carried out in the southern forest–steppe zone (Southern Ural, Russia). The soil cover of the site is represented by agrochernozem soils (Luvic Chernozem). We examined the morphological, physicochemical and agrochemical properties of the soil, as well as its heavy metal contents. The random forest (RF) non-linear approach was used to estimate the spatial distribution of the properties and produce maps. We found that soils were characterized by high organic carbon content (SOC) and neutral acidity and were well supplied with nitrogen and potassium concentrations. The agrochernozem was characterized by favorable water–physical properties and showed good values for water infiltration and moisture categories. The contents of heavy metals (lead, cadmium, mercury, cobalt, zinc and copper) did not exceed permissible levels. The soil quality rating interpretation confirms that these soils have high potential fertility and are convenient for irrigation activities. The spatial distribution of soil properties according to the generated maps were not homogeneous. The results showed that remote sensing covariates were the most critical variables in explaining soil properties variability. Our findings may be useful for developing reclamation strategies for similar soils that can restore soil health and improve crop productivity.

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GOST Copy
Suleymanov R. et al. Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements // Applied Sciences (Switzerland). 2023. Vol. 13. No. 9. p. 5249.
GOST all authors (up to 50) Copy
Suleymanov R., Suleymanov A., Zaitsev G. A., Adelmurzina I., Galiakhmetova G., Abakumov E., Shagaliev R. Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements // Applied Sciences (Switzerland). 2023. Vol. 13. No. 9. p. 5249.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.3390/app13095249
UR - https://www.mdpi.com/2076-3417/13/9/5249
TI - Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements
T2 - Applied Sciences (Switzerland)
AU - Suleymanov, Ruslan
AU - Suleymanov, Azamat
AU - Zaitsev, Gleb A.
AU - Adelmurzina, Ilgiza
AU - Galiakhmetova, Gulnaz
AU - Abakumov, Evgeny
AU - Shagaliev, Ruslan
PY - 2023
DA - 2023/04/22
PB - MDPI
SP - 5249
IS - 9
VL - 13
SN - 2076-3417
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Suleymanov,
author = {Ruslan Suleymanov and Azamat Suleymanov and Gleb A. Zaitsev and Ilgiza Adelmurzina and Gulnaz Galiakhmetova and Evgeny Abakumov and Ruslan Shagaliev},
title = {Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements},
journal = {Applied Sciences (Switzerland)},
year = {2023},
volume = {13},
publisher = {MDPI},
month = {apr},
url = {https://www.mdpi.com/2076-3417/13/9/5249},
number = {9},
pages = {5249},
doi = {10.3390/app13095249}
}
MLA
Cite this
MLA Copy
Suleymanov, Ruslan, et al. “Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements.” Applied Sciences (Switzerland), vol. 13, no. 9, Apr. 2023, p. 5249. https://www.mdpi.com/2076-3417/13/9/5249.