The impact of climatic conditions of spring flood formation on hydrograph shape of the Desna River
Journal Title: Meteorology Hydrology and Water Management Research and Operational Applications - Year 2017, Vol 5, Issue 1
Abstract
Climatic factors are the most important of all the factors that influence the hydrograph shape of a river; this is because they are dynamic in space and time. The presence of hydrographs with a similar shape in long-term observation series of water runoff indicates that from time to time in the catchment of a river the same conditions of water runoff formation repeat. This is due to the cyclicity of climatic and – as a consequence – hydrological processes. The classification of hydrographs based on the similarity of their shapes on the Desna River (observation period 1885-2010) was carried out using the geometrical similarity criterion (ρ) and the average Euclidean distance between values of hydrograph pairs (η). 41 classes of hydrographs, which included from 1 to 6 hydrographs, were obtained. Among them were determined 12 classes with low probability, 9 classes with medium probability and 20 classes with high probability. An analysis of the conditions of hydrograph formation for each of the identified classes was performed for the following factors: the sums of daily air temperatures and precipitation during the period of positive air temperature (from July) and the period of negative air temperatures, and also during the period of temperature transition through 0ºC up to the peak discharges, index of depth of soil freezing, index of snow water equivalent, index of soil moisture content, and index of snowmelt. In general, hydrographs which are included in one class have similar climatic conditions to those of water runoff formation. However, in some cases, a combination of different values and dynamic factors can lead to the formation of similar hydrograph shapes.
Authors and Affiliations
Borys Khrystyuk, Luidmila Gorbachowa, Olga Koshkina
Keywords
Related Articles
- EP ID EP560591
- DOI 10.26491/mhwm/67914
- Views 40
- Downloads 0
Classification by multiple regression - a new approach towards the classification of extremes
There are numerous algorithmic classification methods that address the connections between different scales of the atmosphere, such as EOFs, clustering, neural nets. However, their relative strength encompasses the mean...
Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin
The scope of this study was to assess the usefulness of top probability distributions to describe maximum rainfall data in the Lusatian Neisse River basin, based on eight IMWM-NRI meteorological stations. The research ma...
Is there added value of convection-permitting regional climate model simulations for storms over the German Bight and Northern Germany?
This study tackles the question: Do very high-resolution convective-permitting regional climate model (RCM) simulations add value compared to coarser RCM runs for certain extreme weather conditions, namely strong wind an...
The choice of optimal lag for Kriging interpolation of NWP model forecast
In this paper a Kriging method is reviewed and a way of its application in numerical weather prediction is proposed. The basic principles of the Kriging are shown; the main advantage is its accuracy, but at the same time...
Study of water management on rainfed land in downstream Renggung watershed
The downstream area of Renggung Watershed is a water conservative zone which is also dominated by rainfed land with dominant vertisol soil-clay fraction. Watershed downstream reaches 40% and is 30% of total area of Rengg...