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- 141 -<br />

Calculati<strong>on</strong> and Forecast of the Annual Discharge of the Neman River in<br />

Byelorussia<br />

Alexander A. Volchak<br />

The Department of Polesye Problems of the Nati<strong>on</strong>al Academy of Sciences of Belarus, Moskovskaya St., 204, Brest, 224020,<br />

Belarus, e-mail Volchak@tut.by<br />

1. Introducti<strong>on</strong><br />

The Neman, <strong>on</strong>e of the principal Belorussian rivers, is a<br />

typical European transboundary river which flows <strong>on</strong> the<br />

territory of Belarus and Lithuania and discharges into the<br />

Baltic Sea. A distinct influence <strong>on</strong> the formati<strong>on</strong> of the Neman’s<br />

flow is exercised by climatic factors. The mechanism<br />

of l<strong>on</strong>g-term fluctuati<strong>on</strong> of Neman’s annual flow (as registered<br />

in the city of Grodno) is determined by the asynchr<strong>on</strong>ous<br />

fluctuati<strong>on</strong> of water balance processes. The annual<br />

fluctuati<strong>on</strong> of atmospheric precipitati<strong>on</strong> and total evaporati<strong>on</strong><br />

in the Neman basin reaches 20%, which leads to the alternati<strong>on</strong><br />

of relatively stable precipitati<strong>on</strong> periods and periods<br />

of variable water balance processes. As a result, cyclicism<br />

(i.e. a tendency to group the years of high / low water<br />

level without a certain regularity of the process) is a very<br />

important feature of the l<strong>on</strong>g-term fluctuati<strong>on</strong> of the Neman’s<br />

annual flow, distinguished from the so-called “white<br />

noise”.<br />

2. Initial Data<br />

This research aims at understanding the annual outflow of<br />

Neman (Grodno) and at suggesting forecast models. For this<br />

purpose the full time series available of the Neman’s annual<br />

flow is used. The period in questi<strong>on</strong> spans 193 years (from<br />

1808 to 2000) and c<strong>on</strong>sists of direct observati<strong>on</strong>s (1877 –<br />

2000) and an estimated part (1808 – 1876) using the model<br />

“Hydrologist”, and data from other analogous rivers – the<br />

Smalininkai and the Rhine (Volchak A.A., 1998).<br />

The hydrographer clearly traces the cyclicism of fluctuati<strong>on</strong>:<br />

During the period from 1870 to 1885 a fall in water level<br />

was observed, from 1885 to 1930 – its rise, then from 1955<br />

– its decrease, in the late 50s – a maximal increase over the<br />

whole period of observati<strong>on</strong>, then from the mid-60s a decline<br />

in water level with a slight rise in the 80s was observed.<br />

The reducti<strong>on</strong> of the fluctuati<strong>on</strong> range has been noticeable<br />

since 1960.<br />

Table 1 represents a selected estimati<strong>on</strong> of the principal statistic<br />

parameters for two periods.<br />

Periods of observati<strong>on</strong>,<br />

years<br />

Durati<strong>on</strong>, years<br />

Normal outflow,<br />

Coefficient of<br />

variati<strong>on</strong> (Cv)<br />

Coefficient of<br />

asymmetry (Cs)<br />

Coefficient of selfcorrelati<strong>on</strong><br />

(r(1))<br />

1877 – 2000 124 197 0,18 0,87 0,15<br />

1808 – 2000 193 194 0,19 0,63 0,19<br />

Table 1. Principal statistic characteristics of the Neman’s<br />

annual flow at Grodno. Units of “Normal outflow” are<br />

m 3 /sec.<br />

Empirical curves corresp<strong>on</strong>d to the Pears<strong>on</strong> distributi<strong>on</strong> of<br />

the third type in which Cs=3C v. Provided that the probability<br />

distributi<strong>on</strong> functi<strong>on</strong> of the annual outflow does not differ<br />

c<strong>on</strong>siderably from the normal distributi<strong>on</strong>, the applicati<strong>on</strong> of<br />

parameter criteria for verifying the statistic hypothesis may<br />

well be allowed.<br />

3. Methodology of Research and its Outcome<br />

At present, the practical methods of hydrology and water<br />

ec<strong>on</strong>omy calculati<strong>on</strong>s are based <strong>on</strong> the hypothesis of c<strong>on</strong>stant<br />

variability of the annual flow. Although the practice of<br />

modelling and exploiting hydrotechnical and water ec<strong>on</strong>omy<br />

objects has shown the applicability of this method, the statistic<br />

c<strong>on</strong>cepti<strong>on</strong> of describing the l<strong>on</strong>g-term fluctuati<strong>on</strong> of the<br />

river flow in its traditi<strong>on</strong>al interpretati<strong>on</strong> cannot be recognized<br />

as a perspective for establishing methods for flow<br />

forecast. Firstly, the predictability limit of stochastic models<br />

of the annual outflow based <strong>on</strong> the Markov chain of the first<br />

order is equal to 1-2 years under forecast c<strong>on</strong>diti<strong>on</strong> ≤60%<br />

(Ismailov G.H, Fedorov V.M., 2001). Sec<strong>on</strong>dly, resulting<br />

from the growing anthropogenic pressure, global climate<br />

change and other factors, the statistic parameters of time periods<br />

may alter.<br />

Multi-dimensi<strong>on</strong>al empirical-statistic models, employing<br />

equati<strong>on</strong>s of multiple regressi<strong>on</strong>, have signalled the further<br />

development of the c<strong>on</strong>tingency c<strong>on</strong>cepti<strong>on</strong> and its applicati<strong>on</strong><br />

in analyzing and forecasting the time correlati<strong>on</strong>s between<br />

the annual outflow in multi-dimensi<strong>on</strong>al space of the<br />

predicting vector. At the same time it appears necessary to<br />

prove the possibility of applying the revealed dependencies<br />

for the forecast period. It is also essential to forecast the predicting<br />

vector itself, which is a more complicated task, especially<br />

for a specific period (Ismailov G.H, Fedorov V.M.,<br />

2001).<br />

Together with the c<strong>on</strong>tingency c<strong>on</strong>cept of the l<strong>on</strong>g-term<br />

fluctuati<strong>on</strong> of the annual outflow, the c<strong>on</strong>cept of cyclicism<br />

is also used. Moreover, while there is no uniformity in the<br />

nature of these cycles, an objective methodology of distinguishing<br />

and analyzing cycles of river water level is also absent.<br />

In additi<strong>on</strong> to the irregular occurrence of cycles, the<br />

possibility of the physical (genetic) interpretati<strong>on</strong> bel<strong>on</strong>gs to<br />

the weaker points of such an approach.<br />

As both approaches yield a comparable result, the cyclicism<br />

assumpti<strong>on</strong> may well be applied for the analysis and forecasts<br />

of l<strong>on</strong>g-term fluctuati<strong>on</strong> of the annual flow.<br />

The analysis of the average annual water flow for the 3 periods<br />

in questi<strong>on</strong> (1808 – 1876, 1877 – 1964, 1965 – 2000)<br />

shows that the zero hypothesis, that the absolute differences<br />

should be c<strong>on</strong>sidered insignificant, is not accepted. At the<br />

same time the zero hypothesis may be recognized for dispersi<strong>on</strong>s<br />

<strong>on</strong>ly between the periods of 1808 – 1876 and 1877 –<br />

1964, for other calculati<strong>on</strong>s the zero hypothesis of dispersi<strong>on</strong><br />

equality must be neglected. The fluctuati<strong>on</strong> range of the<br />

annual flow in the Neman river at Grodno from 1964 to<br />

2000 differs statistically from the previous 2 periods: It is<br />

definitely lower.<br />

Different periods were selected to estimate the statistic parameters<br />

of the flow and to study their alterati<strong>on</strong> between<br />

periods. Apart from this, the statistic parameters of the initial<br />

period were calculated with the help of 20, 30, 35, and<br />

50 year l<strong>on</strong>g average estimati<strong>on</strong> procedure (Table 2).

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