ПОВЕРХНОСТНЫЙ СТОК ТАЛЫХ ВОД НА ПАХОТНЫХ ЗЕМЛЯХ НИЖНЕГО ДОНА

Abstract

Purpose: to study the indicators of melt water runoff from arable land of various compaction and to assess its quantitative and qualitative characteristics based on long-term data. Materials and methods. Studies of the intensity of melt water runoff were carried out in the Azov zone of Rostov region in the period 1964–2018 by a number of researchers, including the author of the article. Results. The runoff indicators for a 55-year period are characterized by significant fluctuations. Analysis of long-term data revealed that the indicator of melt water runoff rate from loose arable land for the period 1964–2018 averaged 9.0 mm/year and on compacted arable land averaged 17.5 mm/year. On loose arable land, the maximum runoff rate for a 55-year period is 25.3 mm, on compacted arable land it is 47.3 mm. As a result of the analysis of the data, it was revealed that the average water reserve in snow on the surface of the fall-plowed land is 43.7 mm, and 48.7 mm on the winter wheat sowing. In general, for two agrophonies, the runoff indicator for the period 1964–2018 was most often characterized as weak and very weak only on loose arable land. Calculations of statistical indicators of runoff data revealed that they are not uniform, for example, the coefficient of runoff variation from loose arable land was 115.4 %, and from compacted arable land 70.4 %, with a coefficient of variation above 33 %, the aggregate is considered heterogeneous. Rostov region, having a large agricultural potential, is experiencing significant problems from the impact of negative natural processes, among which one of the first places belongs to erosion processes. Conclusions. In the course of generalization of long-term data on melt water runoff from arable land of varying degrees of compaction, indicators that made it possible to plot the flow availability curves were obtained. The use of the results obtained makes it possible to predict the occurrence of runoff of various intensities and thereby prevent its negative impact on agricultural land with the minimal material costs.