The problems of water lag time during flood forecasting, the rate of pollution spreading over the basin area in the event of industrial accidents, the transport of suspended and dissolved substances by rivers, and planning of erosion control measures are very relevant today. Within the framework of the basin approach, an elementary water catchment can be adopted as an elementary unit for the analysis of a particular territory. At the same time, river bed slopes determine the power of the water flow, and the average slopes of water catchments significantly affect the formation of river flow, the nature of the hydrological regime and determine the erosion potential of the territory. The object of the study is the basin of the Karay river, located in the southeastern part of the OkaDon plain. The Karay river is a right tributary of the Khoper river (the Don river basin). For the Karay river basin the river bed slopes and average gradients of catchment slopes are calculated and analyzed. The calculations were based on the digital elevation model created in GIS MapInfo. It is shown that the average slopes of the territories within the Karay river basin range from 0.4° to 1.4°.

Spring flooding is an annual significant overflow of water in the central Russia rivers. As a rule, the maximum flood levels in the Tambov region rivers are reached in the late March - early April. However, this parameter is very variable. Moreover, the maximum flood water level varies from year to year. In this paper, we study the effects of various climatic parameters on the spring flood peak formation. We consider the Tsna River (the Oka basin) near Tambov as the model object of our study. Using methods of multiple correlation analysis, we determine the most significant climatic factors which affect the maximum flood level. In the research, 16 climatic and hydrological parameters from 1970 to 2018 are analyzed. We assess the contribution of the various factors to flood wave formation by using multiple regression analysis. Using the analysis, we have identified the most significant flooding factors.

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Рецензент д-р географ. наук, профессор С. В. Панков Ключевые слова: Битюг; водоток; густота речной сети; донской бассейн; Савала. Аннотация: Проанализированы структуры бассейнов рек Битюг и Савала по параметру «густота речной сети». Параметр рассчитан для всех притоков рек Битюг и Савала до третьего порядка включительно.