Приклади вживання Annual runoff Англійська мовою та їх переклад на Українською
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Tags: annual runoff; statistical parameters.
Chaos theory methods in modelling the annual runoff(the Danube river).
Tags: annual runoff; factorial analysis; synchronous fluctuation.
Tags: geographic generalization; statistical parameters of annual runoff.
Tags: annual runoff; atmospheric circulation indexes; principle component.
A multi-factor systems and multi-fractal approaches in modelling the annual runoff(the Danube river).
Evaluation of variability of annual runoff in the basin of the Dniester river(left bank).
The assessment of the influence of North Atlantic atmospheric process on annual runoff in Ukraine.
Method of calculation was work out of normal annual runoff on the base multiplicand linear regression model.
There was implemented a comparative estimation oftemporal changes of basic climatic factors and annual runoff.
Geographic generalization of statistical parameters of annual runoff was selected on the base of joint analysis of spatial dispersion.
Of the annual runoff held in spring, in the upper reaches of the share of the flow in summer and fall by 20%, in winter 10%, Tobolsk, respectively 27%, 19% and 7%.
For instance, the Congo River andits tributaries account for about 30% of the entire African continent's annual runoff, but the watershed contains only 10% of Africa's population.
At spring tide Middle Volga 60-70% of annual runoff[26], and in summer-autumn period of low rainfall leads to shallowing Volga[27].
Optimal predictors of annual runoff forming were received by regresion analysis of first components(method NOF) and quantitative indexes of flow factors.
On the margins of the Brazilian and Guiana highlands,which are well and more or less evenly watered, annual runoff is also 40- 60 cm(up to 150 cm in some places), with underground runoff constituting 50 percent.
The estimation of changes of an annual runoff on the basis of imitating stochastic model of a life-conditionedannual runoff is resulted and model approbation on data of water economic balances for 1991-2003 years is executed.
To regionalize catchment of river Ussuri by the synchronism of annual runoff fluctuation, one may use the method of multimeasured statistical analysis- factorial and main components.
It is consider the estimation of variability of annual runoff in the river basin Dniester by establishing trends to changes in climatic factors such as rainfall and temperature in the western and south-western Ukraine, the cyclical fluctuations of climatic factors and the annual runoff, as well as trends in changes of the annual runoff characteristics annual flow of the left bank of the Dniester River.
The recommendations are written to determinate annual runoff characteristics in Ussury's basin under insufficiency and lack of observation's data.
It is carried outnumerical modelling fluctuate temporal trends for annual runoff(r. Danube) within a new method of description for the hydrological systems. The latter is based on the combining multi-factor systems approach and multi-fractal formalism. It is discovered the phenomenon of genesis of the fractal dimensions.
Original software for modeling filtration and transfer in soil water,surface and annual runoff, water balance and Sediments, to sweep the model of business plans, to predict the negative influences.
Estimation of statistical parameters of annual runoff under economic activity on the base of stochastically model was work. Influence functions were received.
In this work there were analyzed conformities of temporaland spatial variations of annual runoff in Dnepr basin and basic indices of climatic changes such as annual precipitation and atmospheric temperature.
Application of imitating stochastic model of an annual runoff to an estimation of a condition of water resources Low Podneproviya in the conditions of water economic activities.
In this work there were analyzed conformities of temporal and spatial variations of annual runoff in river of Ukrain and basic indices of climatic changes such as annual precipitation and atmospheric temperature.
Power supply is rainy and snowy(spring runoff is about 85% of annual). .