A. I. Nasirova1 , T. A. Hasanova2, G. F. Asgarova1 , N. A. Abasova2
1 Institute of Soil Science and Agrochemistry of Ministry of Science and Education of the Republic of Azerbaijan, Baku, Republic of Azerbaijan
2 Baku State University, Baku, Republic of Azerbaijan
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Volume 25 No. 8
Date of paper submission: 17.02.2025, date of review: 02.04.2025, date of acceptance: 19.05.2025.
Published: 08/31/2025
Abstract. Purpose. In this study, the purpose is to investigate the spatial variability of soil electrical conductivity (EC) and its relationship with key cations and anions (Na+ , 7K+ , Ca2+, Mg2+, Cl– , CO3 2–, HCO2–, SO4 2–) along the Kur-Araz lowland. Methods. Using a combination of field soil samples, laboratory analyses and Landsat 8 spectral data, linear (MLR, PLSR) and nonlinear (ANN, SVM) modeling approaches were used to estimate and map soil EC. The results identified Na+ and Cl– as the main drivers of salinity, with NaCl salts dominating the soil salinity dynamics in the region. Secondary contributions of KCl and MgCl2 were also observed. Coastal landforms such as lagoonal relics and coastal plains showed the highest salinity levels, attributed to geomorphic processes and anthropogenic activities. Among the predictive models, the SVM algorithm outperformed the others, achieving higher R2 values and lower RMSE, highlighting its effectiveness in capturing complex soilenvironment interactions. Scientific novelty. Soil salinity is a challenging issue for agricultural productivity and environmental sustainability, especially in arid and semi-arid coastal regions. This study highlights the usefulness of digital soil mapping (DSM) for assessing soil salinity and provides practical recommendations for sustainable land management, particularly for reducing salinity and improving agricultural practices in vulnerable systems.
Keywords: electrical conductivity, salinity, landforms, remote sensing
For citation: Nasirova A. I., Hasanova T. A., Asgarova G. F., Abasova N. A. Modeling of soil electrical conductivity for sustainable land use in salinized areas. Agrarian Bulletin of the Urals. 2025; 25 (08): 1199‒1208. https://doi.org/10.32417/1997-4868-2025-25-08-1199-1208 (In Russ.)
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