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    Wyświetlanie 1-3 z 3
    Tytuł:
    Biological Absorption of Chemical Elements in Topinambur Plants by Separation of Wastewater in Podzol Soil
    Autorzy:
    Lopushnyak, Vasyl
    Hrytsuliak, Halyna
    Kozova, Iryna
    Jakubowski, Tomasz
    Kotsyubynska, Yulia
    Polutrenko, Miroslava
    Kozan, Natalia
    Powiązania:
    https://bibliotekanauki.pl/articles/2173361.pdf
    Data publikacji:
    2022
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    Jerusalem artichoke
    Helianthus tuberosus
    sewage sludge
    biological uptake
    correlation analysis
    regression analysis
    Opis:
    The application of sewage sludge as a fertilizer in podzols soil ambiguously affects the peculiarities of the accumulation of certain chemical elements in various organs of the Jerusalem artichoke plants. Experimental factors in the study were different doses of sewage sludge from sludge maps of wastewater treatment plants and its compost with cereal straw, included together with the compensatory dose of mineral fertilizers to the norm N90P90K90 in the Jerusalem artichoke plantation. Determination of the content of chemical elements in soil and plants was carried out by X-ray fluorescence analysis. According to the results of research, it was established that the change of mineral nutrition conditions of Jerusalem artichoke causes significant changes in the chemical composition of its tubers and vegetative mass. Studies have shown a clear positive effect of increasing doses of SS on increasing the content in tubers: K – to 7.9%, Ca – to 1.9, Fe – to 1.9, in green mass: O – to 31.8%, K – to 31.6, Ca – to 24.9, Mg – to 5.9, Mn – to 0.7, Fe – to 0.4 and K – to 34.5%. The coefficients of biological absorption for most chemical elements are more than 1, but for O, Al, Si, Fe, these figures were less than 1. Regression models of phosphorus, potassium, calcium and magnesium content in the vegetative mass of Jerusalem artichoke indicate a high and moderate dependence of these indicators on their content in Jerusalem artichoke tubers and soil.
    Źródło:
    Journal of Ecological Engineering; 2022, 23, 9; 18--24
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model of Biomass Productivity under the Influence of Change in the Phytotoxicity of Podzol Soil Due to Reintroduction of Sewage Sludge under Energy Willow
    Autorzy:
    Lopushniak, Vasyl
    Hrytsuliak, Halyna
    Polutrenko, Myroslava
    Lopushniak, Halyna
    Voloshyn, Yurii
    Kotsyubynska, Yulia
    Baran, Bagdana
    Powiązania:
    https://bibliotekanauki.pl/articles/2202311.pdf
    Data publikacji:
    2022
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    energy willow
    sewage sludge
    productivity
    productivity model
    phytotoxicity
    Opis:
    Utilization of sewage sludge during phytoremediation of territories and its introduction as fertilizer for energy crops requires testing for phytotoxicity of the soil cover, which will allow determining an ecologically safe dose of its use and minimizing the negative impact on agroecosystems. It will also contribute to the formation of optimal productivity of agrophytocenoses as well as optimize the nutrition conditions for intensive growth and development of cultivated plants. The research conducted an analysis of the impact of the increase in phytotoxicity of sod-podzolic soil from the introduction of fresh sewage sludge and its composts with various organic materials (sawdust of coniferous trees, straw of grain crops) on the formation of biomass productivity of energy willow during a repeated cycle of cultivation. Regression and correlation analyses were used to build a mathematical model of biomass productivity under the influence of changes in the phytotoxicity of podzol soil due to repeated introduction of sewage sludge under the energy willow. The obtained regression dependences show that the formation of phytotoxicity of sod-podzolic soil is most affected by the increase in the content of Pb and Cd. However, the introduction of the norm of fresh SS within 80 t/ha did not lead to an increase in the content of these heavy metals above the maximum allowable concentrations, although it contributed to an increase in phytotoxicity to an above average level. The maximum predicted productivity, depending on the content of mobile forms of heavy metals in the soil, is about 60 t/ha at a content of Cd = 0.25; Ni = 1.1 Pb = 4.6 mg/kg soil. As the phytotoxicity of the soil increases to an above-average level (phytotoxic effect 40–46%), the intensity of biomass accumulation of energy willow slows down somewhat. In general, after a repeated cycle of using the plantation during the 4-year growing season of energy willow in all options where fertilizers were applied, the productivity of wood biomass increased significantly compared to the control option by 7.7–17.4 t/ha and with the smallest significant difference between the indicators of the research options 4.23 t/ha.
    Źródło:
    Journal of Ecological Engineering; 2022, 23, 12; 217--226
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prognostic Models of Panicum virgatum L. Using Artificial Neural Networks
    Autorzy:
    Lopushniak, Vasyl Ivanovych
    Hrytsuliak, Halyna Myhaylovna
    Bykin, Anatoliy Viktorovych
    Bordyuzha, Nadia Petryvna
    Semenko, Larysa Oleksandryvna
    Polutrenko, Myroslava Stepanivna
    Kotsyubynska, Yulia Zinoviyivna
    Powiązania:
    https://bibliotekanauki.pl/articles/2028041.pdf
    Data publikacji:
    2021
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    switchgrass
    productivity
    biomass
    sewage sludge
    precipitate
    artificial neural network
    Opis:
    The article shows the possibility of using modern methods of artificial intelligence to calculate the yield of biomass of crops according to the given set input data (fertilizer doses, agrochemical parameters of the soil, productivity). The study reflects the results of testing a model of a computer program of an artificial neural network, which allowed forecasting the yield of Panicum virgatum L. (Switchgrass) depending on the joint application of fertilizers mineral and precipitate. On the basis of the calculations, the obtained model of productivity of vegetative mass of switchgrass shows a high level of forecasting efficiency (up to 97%). According to the results of experimental studies, the use of sewage sludge at a doses of 20–40 t/ha provides a dry biomass yield of Panicum virgatum L. (Switchgrass) in the range of 13.1–20.3 t/ha, which is 3.4–7.2 t/ha more than in the option without fertilizer.
    Źródło:
    Journal of Ecological Engineering; 2021, 22, 11; 62-71
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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