The study deals with definition and cross-comparison of soil infiltration capacity at two selected sites located in cadastral territories of Nosislav and Žabčice, Czech Republic. In order to assess the soil infiltration capacity in the areas of interest Niva and Kovál over the course of the 2010 growing season, four trips were made with three measurements taking place during each trip. A method of double-ring infiltration measurement was applied, based on the use of two concentric cylinders in field conditions and the subsequent data processing via geographical-empirical method according to Kostiakov. The soil infiltration capacity was assessed with regard to physical properties determined by an analysis of intact soil samples using Kopecky cylinders. The results indicate a reduced infiltration capacity due to soil compaction and also significant differences between the two sites, primarily caused by differences in soil type and, hence, different physical characteristics.
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Problems of the retention capacity of the landscape and related runoff con-ditions are at present, at the time of the occurrence of frequent storm floods, a topical problem. Our research was aimed at the evaluation of effects of physical-geographical factors on hydrological conditions of the Fryšávka River drainage area occurring in the southern part of the Žďárské vrchy CHKO (Žďárské Hills Protected Landscape Area) depending on the current position of the landscape cover. Preparation and analyses of source data were carried out in ArcGIS 9.2 in the ArcView software product by means of the set of integrated software applications ArcMap, ArcCatalog and ArcToolbox. To determine hydrological conditions at the absence of hydrometric observations a method was used of numbers of runoff curves CN in a modification of the DesQ-MAXQ deterministic episode model. Based on hydrological characteristics, potential retention was monitored as well as the volume of flood wave, concentration time and peak discharge. Hydrological modelling was carried out on a design storm precipitation with the return period of 100 years. The significance of physical-geographical factors affecting the landscape retention capacity and runoff conditions was quantified by the statistical method of multiple regression and correlation analysis on the set of 95 ...
