Future hydrological extremes, such as floods and droughts, may pose serious threats for the livelihoods in the upstream domains of the Indus, Ganges, Brahmaputra. For this reason, the impacts of climate change on future hydrological extremes is investigated in these river basins. We use a fully-distributed cryospheric-hydrological model to simulate current and future hydrological fluxes and for...

In catchment hydrology, it is in practice impossible to measure everything we would like to know about the hydrological system, mainly due to high catchment heterogeneity and the limitations of measurement techniques. These limitations and the need to extrapolate information from the available measurements in both space and time initiated the application of hydrological models. However, hydrolo...

Terrain patterns play an important role in determining the nature of water resources and related hydrological modelling. Digital Elevation Models (DEMs), offering an efficient way to represent ground surface, allow automated direct extraction of hydrological features (Garbrecht and Martz, 1999), thus bringing advantages in terms of processing efficiency, cost effectiveness, and accuracy assessm...

Hydrological drought is defined by long-term decrease in levels and flows of water bodies. The task of this paper is to analyze and identify statistical trends of low flows in streams in the eastern Slovakia. Methodology for evaluating hydrological drought is based on statistical analysis of observed low stream flows at chosen river stations – annual and seasonal. Mann-Kendall statistical test ...

Nowcasting of harmful algal blooms is important both for the public and for environmental management purposes. In the Baltic Sea, summer blooms of nitrogen-fixing cyanobacteria, are regular phenomena but the past years intense and widespread blooms have caused major environmental concern due to its nuisance, increased nitrogen input and toxicity. One of the most abundant species Nodularia sp. c...

The present study comprises an intercomparison of different configurations of a statistical post-processor that is used to estimate predictive hydrological uncertainty. It builds on earlier work by Weerts, Winsemius and Verkade (2011; hereafter referred to as WWV2011), who used the quantile regression technique to estimate predictive hydrological uncertainty using a deterministic water level fo...

Hydrological modeling is an area where modeling has been used for a very long time. Applications range from forecasts for the hydro power industry, public safety, agriculture and environmental monitoring. Still, to the best of our knowledge, Modelica has been very little used in hydrological modeling so far. In this paper, we aim to show that the Modelica language is well suited for hydrologica...

It is essential to consider the acceptable threshold in the assessment of a hydrological model because of the scarcity of research in the hydrology community and errors do not necessarily cause risk. Two forecast errors, including rainfall forecast error and peak flood forecast error, have been studied based on the reliability theory. The first order second moment (FOSM) and bound methods are u...

Hydrological data (e.g. rainfall, river flow data) are used in water resource planning and management. Sometimes hydrological time series have gaps or are incomplete, or are not of good quality or are not of sufficient length. This problem seems to be more prevalent in developing countries than in developed countries. In this paper, feed-forward artificial neural networks (ANNs) techniques are ...