Abstract
Identification of physical processes occurred in the watershed is one of the main tasks in hydrology. Currently the most efficient hydrological processes describing and forecasting tool are mathematical models. They can be defined as a mathematical description of relations between specified attributes of analysed object. It can be presented by: graphs, arrays, equations describing functioning of the object etc. With reference to watershed a mathematical model is commonly defined as a mathematical and logical relations, which evaluate quantitative dependencies between runoff characteristics and factors, which create it. Many rainfall-runoff linear reservoirs conceptual models have been developed over the years. The comparison of effectiveness of Single Linear Reservoir model, Nash model, Diskin model and Wackermann model is presented in this article.
Highlights
1.1 Description of the phenomenonA watershed is a fundamental research facility in hydrology
The first problem has already been encountered in the determination of effective precipitation, as no method has been created so far to accurately determine the amount of effective precipitation
Logical reasoning suggests that the Diskin model is the most effective of the analysed reservoir models
Summary
A watershed is a fundamental research facility in hydrology Considering it as a system, all forms of water inflow into the watershed, such as: precipitation, surface runoff, interflows coming from beyond the analysed area are understood as input variables. Output variables depend on the purpose of the research, for instance: transformation of rainfall into runoff, determination of effective rainfall, river sediment calculations, surface runoff water loss etc. It is essential to distinct the system components in the research unit and to define its surroundings to treat the research unit as a system This selection depends on problem we consider. Considering watershed as a system, we must delimit in its environment relations with other elements, which have an impact on analysed process, for instance surface runoff. System analyse is used in natural systems, called real systems and simplified system models. Idea concept of the model is presented in the figure 1 [1]
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