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SEASONAL AVERAGE FLOW
IN RÂUL NEGRU HYDROGRAPHIC BASIN
VIGH MELINDA
1
ABSTRACT. Seasonal average flow in Râul Negru hydrographic basin. The
Râul Negru hydrographic basin is a well individualised physical-geographical unit
inside the Braşov Depression. The flow is controlled by six hydrometric stations
placed on the main river and on two important tributaries. The data base for
seasonal flow analysis contains the discharges from 1950-2012. The results of data
analysis show that there significant space-time differences between multiannual
seasonal averages. Some interesting conclusions can be obtained by comparing
abundant and scarce periods. Flow analysis was made using seasonal charts Q =
f(T). The similarities come from the basin’s relative homogeneity, and the
differences from flow’s evolution and trend. Flow variation is analysed using
variation coefficient. In some cases appear significant Cv values differences. Also,
Cv values trends are analysed according to basins’ average altitude.
Keywords: Seasonal flow, evolution and trend, altitude differences.
1. INTRODUCTION
Braşov Depression is the biggest unit from the line of depressions that
separate the volcanic and the crystalline schist mountainous ranges of the Eastern
Carpathians. As a complex physical – geographical entity, it presents a remarkable
diversity of genetic factors and flow influences.
The Râul Negru hydrographic basin expands north – south towards the
eastern part of the depression, forming a rectangle. The basin’s watershed includes
the highest peaks of the Bodoc, Nemira, Vrancea and Întorsurii mountains. The
mountainous and depression footsteps are even developed. The mountainous and
piedmont areas present high slopes in contrast with the almost plain depression.
The basin’s area is 2320 km2, and the hydrographic network’s density is
0.7 km/km2. The main collector, with a length of 88 km, diagonally crosses the
basin’s rectangle. It’s most important tributaries are Caşin, on right, and Covasna,
on left.
The main genetic factors are measured at two meteorological stations:
Lăcăuţ – in the mountainous area and Târgu Secuiesc – in the depression. The
rainfall regime presents maximum values in spring, even though the richest rainfall
month is July (173 mm at Lăcăuț, 85 mm at Târgu Secuiesc). Autumn and winter
are scarce periods. The monthly minimums present differences: October at Lăcăuţ
(40 mm) and December at Târgu Secuiesc (15 mm) (Vigh, 2014). The summer is
1 Babeș-Bolyai University, Faculty of Environmental Science and Engineering, Cluj-Napoca, Romania
E-mail: [email protected]
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relatively chill. The negative temperatures period lasts five months in the
mountains and three months at Târgu Secuiesc, where temperature inversions are
frequent.
The flow’s space – time repartition is influenced by the basin’s enclosed
character, relief steps development, density and river network characteristic, etc.
(Ujvari, 1972).
2. DATA BASE AND METHOD
The analysed data come from six hydrometric stations, two on Râul Negru
River (Lemnia, Reci), Caşin (Ruseni, Plăieşii de Jos), respectively Covasna
(Covasna, Boroşneul Mare) (fig.1.).
From the six stations, three controls
the mountainous area, and the others are
closing stations, near the main confluences.
The analysed period is 1950 – 2012, with
some data series being extended for data
homogeneity.
The analysis is based on statistical
data processing and discharge variation
charts interpretation at the six hydrometric
stations. The variation coefficients were
calculated and average altitude correlations
were made (Table 1). The evaluations refer
to flow’s time and space evolutions,
expressed in absolute and relative values.
Fig.1. Râul Negru hydrographic basin
Table 1. Morphometric data of basin’s hydrometric station
River Hydrometric
station Area
Average
altitude Total
length Lenght
down
km2 m km km
Râul Negru Lemnia 101 892 57.2 30.8
Râul Negru Reci 1698 760 80.9 7.1
Caşin Plăieşii de Jos 85.0 954 21.6 32.4
Caşin Ruseni 476 830 51.7 2.3
Covasna Covasna 31.0 1150 10.0 18.0
Covasna Boroşneul Mare 232 739 23.9 4.1
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3. MULTINANUAL SEASONAL FLOW EVOLUTION
The seasonal discharges’ average values analysis at the six hydrometric
stations show a clear domination of spring flow. Next is summer flow. Autumn and
winter present scarce flows, with very close discharge values at all stations.
The differences are highlighted also by the seasonal discharge ratio
analysis. The spring/summer ratio oscillates between 1.37 (at Boroşneul Mare) and
1.55 (at Ruseni). The spring/autumn and spring/winter ratios are close, with high
values, above 3.0. The highest values appear at Ruseni, and the smallest at
Boroşneul Mare.
The autumn/winter ratio values are very close to the unit (0.99 – 1.10) and
express flow’s regularity in these seasons. As logic, in all cases, the Reci values
places between the other two.
Fig. 2. Seasonal variability of flow in absolute and relative values
in Râul Râul Negru Catchement
From the relative values can be observed that at all stations, spring flow
exceeds 40% of the total annual flow. At Lemnia, it is close to half (48%). The
summer flow is more uniform, with all values very close to 30%. The percentages
at Lemnia Station in autumn and winter are at their minimum, little below 10%.
The flow at the other stations is higher, between 12 – 14% (Fig. 2.).
The multiannual average values differentiation can be made comparative,
between high flow (1970 – 1985) and low flow periods (1986 – 2001), both
including 16 years. For this comparison there have been chosen the stations with
extreme average altitudes: Covasna and Reci (mean altitudes: 1150 m, respectively
760 m).
In Table 2 it can be observed that between 1970 – 1985, the spring flow
percentage at Covasna is smaller than at Reci (37.3 %, respectively 40.8 %). In
summer, the ratio reverses: 36.4 % Covasna, 33.4 % Reci. In autumn and winter,
the flow’s relative values are very similar at the two stations.
The low flow period ratios maintain the same laws in spring (38.7 %
Covasna, 44.0 % Reci) and summer (32.1 % Covasna, 29.1 % Reci). Obvious
differences are observed in the other seasons. The difference in autumn is much
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higher (17.3 % at Covasna, 14.4 % at Reci) than that in the high flow period. The
ratio is even reversed in winter time: the percentage at Covasna is smaller (11.8%)
than that at Reci (12.5%).
Table 2. Comparison of reach and low flow periods
Covasna Spring Summer Autumn Winter
1970-85 Q 1,5 1,5 0,6 0,5
% 37,3 36,4 14,5 11,7
1986-01 Q 0,8 0,7 0,4 0,2
% 38,7 32,1 17,3 11,8
Reci Spring Summer Autumn Winter
1970-85 Q 19,1 15,7 6,7 5,4
% 40,8 33,4 14,3 11,4
1986-01 Q 11,7 7,7 3,8 3,3
% 44,0 29,1 14,4 12,5
4. SEASONAL FLOW EVOLUTION BETWEEN 1950 AND 2012
For seasonal flow’s annual values analysis has been chosen two
hydrometric stations with extreme average altitude – Covasna and Reci. There can be observed some evident logical similarities, due to stations’
placement in the same hydrographic basin. The differences are caused by the different altitudes, conditioning flow genesis, and also by the basin’s influences on Reci Station.
4.1. Spring The two charts present similar allures, excepting for 1995 – 2005, when the data evolution at Covasna Station is more uniform than that at Reci Station.
Fig. 3. Spring discharge’s evolution (linear and polynomial trend)
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The linear trends are contrary – decrease at Covasna, increase at Reci. The
3th
degree polynomial oscillations are similar, but the inflexions are more powerful
at Covasna Station (Fig. 3).
4.2. Summer
Charts allure presents more evident differences than those in spring,
especially in the second part of the analysed period. In this period, the oscillations
at Covasna Station are smaller. The linear trend presents stability at Covasna and
increase at Reci. The 3th
degree polynomial oscillations are much closer than in
spring time (Fig. 4).
Fig. 4. Summer discharge’s evolution (linear and polynomial trend)
4.3. Autumn
The variations are less similar due to local rainfalls’ nature that influences
autumn minimum flow. Oscillations amplitude is higher at Covasna. The linear
trends are also increasing and with similar slopes. Also, the 3th
degree polynomial
oscillations present high similarities (Fig. 5).
Fig.5. Autumn discharge’s evolution (linear and polynomial trend)
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4.4. Winter
The two charts highlight, with a strong resembling, the stability of flow
genetic factors during winter time. The two stations’ variation curves almost
overlap. The inflexions are more powerful at Covasna station (Fig. 6).
Fig. 6. Winter discharge’s evolution (linear and polynomial trend)
5. SEASONAL FLOW VARIATION
The variation coefficient (Cv) expresses how the physical – geographical
factors influences flow forming and evolution. Even though the hydrometric
stations from Râul Negru basin present relative evident factors’ homogeneity, the
Cv values are sometimes with well differences.
The spatial analysis highlights the hydrographic basin’s homogeneity. The
Cv values are relatively uniform at all hydrometric stations. But during autumn
time the differences are greater. The autumn Cv is much greater than those from
the other seasons at Plăieşii de Jos (0.78), Ruseni (0.71) and Boroşneul Mare
stations (0.66). At Reci station, the value is the smallest (Cv = 0.42) due to the
diminishing effect caused by basin’s high area. The seasonal values at Lemnia
station are higher than at other stations, excepting during spring time. The
maximum Cv difference between Lemnia (0.53) and other stations (0.30 – 0.35)
can be observed during winter time.
Cv values are the highest in autumn. During this season, the highest Cv
values can be observed at different stations (0.42 at Reci, 0.78 at Plăieşii de Jos).
The Cv values at all stations in the other seasons vary between 0.3 – 0.4. The
exception is Lemnia Station during summer and winter time. The most obvious
variation coefficients uniformity can be observed during spring time, with a
maximum difference of only 0.08 (Fig. 7).
It can be highlighted that the Cv values of Râul Negru, Caşin and Covasna
rivers upstream stations are higher than those from downstream in all seasons,
representing an obvious law for flow characteristics. There is also an exception:
Covasna River during autumn time.
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Fig. 7. Cv’s spatial and temporal variability in Râul Râul Negru Catchement
5.1. Cv’s variation in altitude
The Cv values present obvious differences also in the relation with basins’
average altitude. The values increase – law like – with the altitude, excepting in
autumn time. The increase slopes are relatively similar. The strongest correlation
appears during summer (R2 = 0.85).
Fig. 8. Correlations between altitude (Hmed) and Cv in spring and summer
in Râul Râul Negru Catchement
Fig. 9. Correlations between altitude (Hmed) and Cv in autumn and winter
in Râul Râul Negru Catchement
00.10.20.30.40.50.60.70.80.9 Spring
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During autumn time, the exceptions previous presented are highlighted in
correlation with altitude. If analysing separately each river we can be observed that
variation law is not respected on Covasna River.
The relationship between Cv and mail altitude of catchment areas facilitate
the territorial generalization of the flow variations (Sorocovschi, Pandi, 2002).
6. CONCLUSIONS
The Râu Negru hydrographic basin presents an obvious homogeneity of
seasonal flow. The local influence factors – firstly basins’ altitude and size - cause
differences of flow characteristics. This is highlighted by the seasonal average
values evaluation at multiannual level, but also by evolutions’ interpretation in the
analysed period. These conclusions are highlighted by the flow variation
coefficients. The most affected hydrographic basin by the local factors is Covasna
River.
REFERENCES
1. Sorocovschi V., Pandi G. (2002), Characteristics of river flow in the
Transylvanian Basin, in Development and Application of Computer Techniques to
Environmental Studies, IX, WIT Press, Southampton, UK, 489-498.
2. Ujvari I. (1972), Geografia apelor României, Edit. Academiei, București
3. Vigh Melinda (2014), Monthly average flow in Negru River hydrographic basin,
in Pandi G., Moldovan F. “Air and water Components of the environment”, 21-22
March 2014, Cluj-Napoca, 286-292.