While characterized by numerous environmental risks directly or indirectly caused by anthropogenic interventions, the Tisza Valley has an important potential to get its natural capital enriched through landscape scale adaptive management. In this paper, the current and potential ecosystem services are identified for the deep floodplains of the Tisza Valley by means of hydrodynamic modeling results and a detailed land cover analysis. Meanwhile, the agricultural suitability and environmental sensitivity of the study areas are analyzed, and the results of this phase of the research will provide a background for the quantification of the natural capital of the study areas.
An essential input for environmental studies, especially for hydrological simulations is the soil information, which is usually provided by spatial soil databases. Despite the growing number of related analyses little is known about the uncertainty associated to databases. This study aimed to evaluate this issue. (i) the World Soil Classification System was used to classify soil horizons of the Unsaturated Soil Hydrologic Database of Hungary, (ii) the resulting soil classes were statistically analyzed, (iii) various static measures were derived and dynamic numerical simulations were carried out to assess the uncertainties of the classification method from hydrologic viewpoint. The results question the reliability of the FAO method.
An integrated hydrological model has been applied for small rural-urban catchments at the Tisza-Maros confluence using the WateRisk integrated hydrological model system. The aim of the hydrological simulations was to identify the role that the relief plays in the runoff generation process, and to highlight the relationship between the precipitation, runoff and the depression’s water storage of the relief. The overall aim is to support the description of contaminant (phosphorus) transport processes with knowledge about the rainfall-runoff-storage relationship, described with the complex deterministic hydrodynamic model system. To support this aim the rainfall-runoff and the one-dimensional flow routing modules have been used in the model. Results suggest that the depletion of the surface depressions water storage capacity is a non-linear saturation type function of the amount of rainfall falling on the surface. Manning n values of the drainage channel system might also have strong influence on runoff dynamics.
A methodology is proposed to calculate statistical average and standard deviation of long time water quality parameter series along a river network. The method considers the water network as a graph consisting of straight sessions and junctions. With a Taylor-series approximation, statistical values of an arbitrary point of the network can be calculated from upstream ones without the need to calculate the single downstream values. According to preliminary results of the first calculations on a pilot area, mean value of the downstream biological oxygen demand and the so called ‘transfer coefficient’ can be approximated with a relative accuracy of 10%.