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Reliable and efficient water management is impossible without information on the current and future condition of river basins. Timely informing stakeholders about the future development of hydrological processes is based on a system of hydrological forecasts. Long-term forecasts of ice phenomena are of great importance, as they are used to plan the end of navigation and the crossing of economic facilities to winter regime. Reliable and lead-time forecasts of appearance dates of ice phenomena and freeze-up on reservoirs are essential for the rational use of water resources and for establishing reservoir operation regimes that take into account the requirements and interests of various economic sectors: hydropower, shipping, fisheries, utilities, etc. The appearance dates of floating ice are one of the most important characteristics of autumn ice phenomena. In recent years, the frequency of warm seasons in autumn and pre-winter has increased, and the process of ice formation is often protracted. In such conditions, it is of great importance to forecast the appearance dates of stable ice and the dates of freeze-up, as these characteristics determine the most effective hydrological strategy in the autumn-winter period. The paper investigates the relationship between heat flow coefficients and the appearance dates of ice phenomena in the reservoirs of the Dnipro cascade. The received forecasting dependencies revealed very weak and moderate correlations, and the efficiency of the forecasting equations was 60 % or less. Thus, the use of heat flow coefficients as predictors of atmospheric processes is very limited. That is why the search for predictors of atmospheric processes should be expanded for long-term forecasting of the appearance dates of ice phenomena in space and time.
Reliable and efficient water management is impossible without information on the current and future condition of river basins. Timely informing stakeholders about the future development of hydrological processes is based on a system of hydrological forecasts. Long-term forecasts of ice phenomena are of great importance, as they are used to plan the end of navigation and the crossing of economic facilities to winter regime. Reliable and lead-time forecasts of appearance dates of ice phenomena and freeze-up on reservoirs are essential for the rational use of water resources and for establishing reservoir operation regimes that take into account the requirements and interests of various economic sectors: hydropower, shipping, fisheries, utilities, etc. The appearance dates of floating ice are one of the most important characteristics of autumn ice phenomena. In recent years, the frequency of warm seasons in autumn and pre-winter has increased, and the process of ice formation is often protracted. In such conditions, it is of great importance to forecast the appearance dates of stable ice and the dates of freeze-up, as these characteristics determine the most effective hydrological strategy in the autumn-winter period. The paper investigates the relationship between heat flow coefficients and the appearance dates of ice phenomena in the reservoirs of the Dnipro cascade. The received forecasting dependencies revealed very weak and moderate correlations, and the efficiency of the forecasting equations was 60 % or less. Thus, the use of heat flow coefficients as predictors of atmospheric processes is very limited. That is why the search for predictors of atmospheric processes should be expanded for long-term forecasting of the appearance dates of ice phenomena in space and time.
Microorganisms play an important role in the formation of soil fertility, ensure their functioning as biological bodies of nature and are an indicator of qualitative soil changes. Due to the effect of anthropogenic activity on the soil there is a decrease in the number and depletion of the species composition of the microbiota. The aim of the research was to estimate the number of different physiological groups of microorganisms on meadow-chernozem carbonate soil under different fertilizer systems. Determination of the number of different groups of soil microorganisms was carried out according to the method of Zvyagintsev by sowing the soil suspension on solid nutrient media. It was established that the most favorable indicators of microbiocenosis and the highest yield of peas of Tsarevich variety were formed by the aftereffects of organic fertilizers and N45P45K45. The variant without fertilizers causes the development of mineralization of organic matter in meadow-chernozem carbonate soil by the content of pedotrophic and humatizing organisms and formed the lowest yield of peas. Application of only mineral fertilizers for growing peas formed a high rate of accumulation of humus at the level of Kak. = 1,6-1,9.
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