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The Influence of the Gray Forest Soil Moisture Level on the Accumulation of Pb, Cd, Zn, Cu in Spring Barley Grain

Razanov Serhii, Husak Oksana, Hnativ Petro, Dydiv Andrii, Bakhmat Oleh, Stepanchenko Vitalii, Pryshchepa Alla, Shcherbachuk Victor, Mazurak Oksana

Journal of Ecological Engineering

2023

Vol. 24, nr 7

285--292

Among a number of climate-related factors, moisture has the greatest impact on crop productivity. In recent years, certain changes have been observed under conditions of the Forest-Steppe of Ukraine with regard to precipitation – from low to in some cases – abnormally high, which requires the study of their impact on the yield and safety of cereal grain for its forecasted production. The article examined the effect of a high level of soil moisture (256.2–272.5 mm) and a low level (47.4–52.3 mm) during the growing season (germination→earing) of spring barley grain on the accumulation of heavy metals in it and its productivity under the conditions of gray forest soils of the Right Bank Forest Steppe of Ukraine. Spring barley varieties Helios and Caesar were selected for the research. A decrease in the accumulation coefficient at a high level of soil moisture (256.6–272.5 mm) in spring barley grain Pb from 8.3% to 11.3%, Cd – from 35.0% to 35.5%, Zn was established – by 15% and Cu – from 11.2% to 16.6% compared to the low level of soil moisture (47.1 mm – 53.3 mm). At the same time, it was found that with a high level of soil moisture, there is a decrease in the yield of Helios and Caesar spring barley by 18.0% and 14.1%, respectively.

Study on the Influence of Roadways on Land Plots according to the Results of Monetary Evaluation

Shulgan Roman, Yanchuk Oleksandr, Pakharenko Olha, Pryshchepa Alla

Geomatics and Environmental Engineering

2021

Vol. 15, no. 3

5--21

The paper examines the impact of highways of urban significance on surrounding areas. The authors substantiated the size of the road effect zone. In order to determine the quantitative extent of the impact of highways on surrounding areas, the scholars applied the data regarding the selling prices of land plots with various designated purpose, i.e. the estimated money value of land is the indicator of determining the road effect on surrounding areas. Since a great number of factors affects the value of these land plots, in order to determine the road effect for highways, the authors developed economic and statistical models for expert value of land plots with various designated purpose using the method of multiple regression analysis. After substituting different values of distances to a highway within the road effect zone in the model, the researchers established the patterns of change in the value of land plots with various designated purpose and calculated the adjustment factors that can be used in the pecuniary valuation of land plots. The value of such coefficients for residential construction land is 0.85–1.00; for commercial land it is 1.00–1.17; and for industrial land it is 1.00–1.01.The paper examines the impact of highways of urban significance on surrounding areas. The authors substantiated the size of the road effect zone. In order to determine the quantitative extent of the impact of highways on surrounding areas, the scholars applied the data regarding the selling prices of land plots with various designated purpose, i.e. the estimated money value of land is the indicator of determining the road effect on surrounding areas. Since a great number of factors affects the value of these land plots, in order to determine the road effect for highways, the authors developed economic and statistical models for expert value of land plots with various designated purpose using the method of multiple regression analysis. After substituting different values of distances to a highway within the road effect zone in the model, the researchers established the patterns of change in the value of land plots with various designated purpose and calculated the adjustment factors that can be used in the pecuniary valuation of land plots. The value of such coefficients for residential construction land is 0.85–1.00; for commercial land it is 1.00–1.17; and for industrial land it is 1.00–1.01.