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Impact assessments of climate change commonly use either synthetic or downscaled meteorological data. Many meteorological variables are missing or uncertain in such an approach. In this paper, it is shown that in such studies, this limits the use of classical reference ET0 models, e.g., the FAO-56 Penman Monteith model, which require several climatic data inputs. The objective of this study was to assess the capability of the minimal-input approach to predict ET0 and irrigation water requirements solely from tempe...

Measured sediment concentration records are important information to support water management activities. However, for various reasons, these time series could be incomplete. This paper contains options for modelling the concentrations of suspended sediments when unmeasured periods occurs. Using of various modelling strategies for is discussed and some statistical and machine learning methods are selected for this task. The results show a significant increase in the accuracy of modelling the concentration of suspe...

Measuring soil moisture it is usually not performed on a daily time step due to financial costs, time-consuming measurements and variability of the weather. However, since this information is an important part of many hydrological and water management studies, the author tries to solve this situation by proposing a suitable interpolation method. The goal is to predict daily moisture values so that their conformity with the test data is as high as possible. The calculation is based on the use of soil moisture data ...

The objective of this paper is to present time and space analysis of drought occurrence in the agricultural regions in Slovakia. It considers the most important natural environment factors influencing the occurrence, duration and intensity of this phenomenon. The analysis of the occurrence of meteorological and agronomic drought was performed for the period 1961 пїЅ 2014. The results detect the importance of dealing with the problem of drought in Slovakia. Drought occurred every year during investigated period exc...

This work discusses the creation of a river flow generator, which uses as an inputs temperature and precipitation data. These input data could be an artificial series of mentioned climatic variables (especially in context of climate change studies), but when assessing the present-day state, measured data may be used too. For this purpose hydrological model and machine learning model is used. In order to increase the accuracy of the flow generation, the authors have designed and tested various variants of data driv...

There are many problems related to pipe network rehabilitation, the main one being how to provide an increase in the hydraulic capacity of a system. Most of the Slovak irrigation pipe networks are branched, which is case elsewhere. A possible approach to increasing the hydraulic capacity of such system s is to convert them to looped networks (thereby providing alternative pathways) and increase their hydraulic capacity with minimum capital investment. In this work authors deal with application of simulation and op...