ANALYSIS OF THE IMPACT OF GLOBAL CLIMATE CHANGE TRENDS ON THE BLOOMING OF THE DNIPRO RIVER IN THE DNIPRO-DONBAS CANAL AREA
Abstract
The hydrodynamic properties of a reservoir can affect the potential for cyanobacterial blooming. Slow-flowing or stagnant waters are more conducive to blooming stability. Therefore, water with a faster flow, more intensive mixing, or higher rotation speed is less likely to develop cyanobacterial blooming. The Kremenchutske and Kamianske reservoirs have an essential impact on the blooming of the Dnieper River in the Dnieper-Donbas Canal area. Their temperature regime in the warm season favors the development of zooplankton and phytoplankton. Aquatic vegetation is most common in shallow water. Water blooming is observed in summer, and this process covers up to 70% of the area of reservoirs, especially in the southern part and bays, deteriorating water quality. Higher frequency and intensity of precipitation, accompanied by longer periods of drought, can create contribute greater nutrient mobility. Longer periods of high temperatures also contribute to this process, at that there is no mixing of water layers. Cyanobacteria can quickly utilize nutrients that enter water bodies due to rainfall. Strong winds can also affect the cyanobacteria population, pushing cyanobacterial cells and colonies towards the banks, where they accumulate.These reservoirs are located in the temperate continental climate zone and belong to water bodies that warm up well. That is due to their width, which makes wind mixing possible in the middle and lower parts of the reservoirs, as a result of which the temperature is distributed evenly and horizontally. To confirm and supplement the results of field studies, statistical processing of water quality indicators of the Dnipro River in the area of the Dnipro-Donbas Canal was carried out. Trends were determined by regression analysis of time series of water quality indicators. The distribution was checked for normality using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Correlation analysis was performed using the Pearson parametric method and the Spearman nonparametric method. The fluctation period was determined using the spectral Fourier transform method. The comprehensive analysis made it possible to establish the factors that are the main cause of water blooming in the studied area, which makes it possible to control the necessary water treatment processes.
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