Phare as European instrument MRDPW National Institute of Meteorology and Hydrology Ministry of Environment and Waters General Directorate Of State Hydraulic Works
Project overview | Hydrology of Maritza and Tundja | Dams and reservoirs | Topography and geography data | Modelling | Flood forecasting system

Maritza River Phare project

Hydrology of Maritsa and Tundzha

The Maritsa/Meric River is the biggest river on the Balkan peninsular. Maritsa catchment is densely populated, highly industrialized and has intensive agriculture. The biggest cities are Plovdiv on the Bulgarian territory, with 650.000 citizens, and Edirne on the Turkish territory, with 231 000 citizens. The biggest tributaries are Tundzha and Arda Rivers, joining Maritsa at Edirne.

Within Maritza and Tundja basin, a significant number of reservoirs and cascades were constructed for irrigation purposes, and for Hydro electricity production.

The climatic and geographical characteristics of Maritsa and Tundja River Basins lead to specific run-off conditions: flash floods, high inter-annual variability, heavy soil erosion reducing the reservoirs' capacities through sedimentation, etc. The destructive forces of climatic hazards, manifesting themselves in the form of rainstorms, severe thunderstorms, intensive snowmelt, floods and droughts, appear to increase during recent years.

After more than 20 years of relative minor floods during wet seasons, large floods started to occur more often since the end of the 90’s. Theses years of absence of large floods resulted in negligence of political action and financial investment for structural and non-structural flood mitigation measures and maintenance of the river bed and its embankments.

The morphology of both river systems is somewhat similar:

Maritza flows between Pazarjik to Parvomay in a large flat plain where flood expansion would be very large if no dike contained the flows. However these dikes are not very well maintained out of the main cities, which actually protect them in a certain way ; In 2005 the large inundation upstream Plovdiv certainly prevented Maritza from overtopping the dikes in the city ! Downstream Parvomay, the relief becomes more hilly and the flood plains are more reduced in size until the Greek-Turkish borders where the plain becomes again wide and flat.

On Maritza in Bulgaria, the two main risks concern Plovdiv and Svilengrad where thousand of people live in houses settled in flood prone areas behind dikes which may be overtopped or bypassed.

The most severe floods in the last years occurred in August 2005 along the Bulgarian part of Maritsa River and March 2006 along the Bulgarian part of Tundja River and the Turkish part of Maritsa. In November 2007 a large flood occurred too in the Bulgarian–Turkish border in Maritsa.

The satellite image to the left shows the inundated areas during the flood of March 2006.

The Tundja Flood plain is also very large downstream Banya at the outflow of the Jrebchevo Dam but with a marked slope down to Mutchuritza confluence.

From Yambol to Elhovo the flood plain is very large and very flat and Tundja river, which has been elsewhere channelised, is let free to meander within large forested areas until Elhovo city.

Downstream Elhovo the river goes sloppy again but through an unpopulated hilly relief which constraint its discharges in narrow cross sections down to the Turkish border. In Turkey the river gets again into a large and flat flood plain where it meanders (though it has been channelised) until Edirne where it joins Maritza.

Yambol city is theoretically protected by high dikes which can handle 800 m3/s discharges. Elhovo downstream is much less protected and may be flooded in some areas with less than 200 m3/s. New settlements in flood prone areas have increased the socio-economic risks in both cities.

1 Some Historical Elements

The following graph of flood records at Harmanli show that before the 60’s - – the flood discharges look higher than after, when most dams and reservoir were constructed. The period between 60’s and 80’s is characterized by relatively high flood activities, but the higher discharges look lowering down. several flood events occurred, however with discharges above 1200 m3/s.

After 1984 there is a period of about 14 consecutive years with hardly any significant flood events. Floods start again to show after 1998 with a climax period in 2005,2006 and 2007.

On Tundja river, the time series are less deep in time. So we cannot process the same analysis.

The morphology of Tundja flood plain indicates that very large floods may have happened in the past along the river. In all cases, however, the construction of the Jrebchevo Dam in the early 1970s modified dramatically the river regime as it cut for Yambol city more than half of the watershed, and obviously the most rainy one.

For Elhovo city the watershed reduction will amount to a bit less than a half .

2 Meteorological Events Leading to Floods

Abundant precipitations are the primary event leading to floods. They either come in the form of rain over moist soil which runs off or come in the form of snow which may, in some cases, melt rapidly due to exceptional warming.

In all cases heavy precipitations are associated with the development and evolution of Mediterranean cyclones in the vicinity of the Balkan Peninsula.

Basically the Maritza basin faces four types of Floods:

  • Winter floods (December to mid February): They are generally due to a single or more likely a series of Mediterranean cyclones propagating Eastward from Mediterranean sea across the Balkan peninsula. Such situations were the primary driving force is the dynamic of the athmosphere, produce intensive repetitive rain throughout the basin and result in large and long floods in the lower Maritza.
  • End of winter early spring floods: Their genesis is the same as above but with sudden air warming generally associated with large polar front waves generating meridional circulation. They are often worsened by the effect of snow melting due to a rapid advective warming over a well prepared land covered with a relatively thick fresh snow at low altitude.
  • Spring and early summer floods (later if rainy summers): Convective precipitation along the cold fronts of slowly moving cyclones (Eastward) re-alimented by soil moisture. These type of precipitations will touch the upper basins of both Tundja and Maritza and may produce large flash floods in these areas. Here the convection is the primary driving force for the formation of precipitations.
  • Fall season floods: They are generated by slowly moving cyclones, which centres follow the Balkan coasts then move eventually to the Black Sea. Convective precipitations are alimented by the warm sea water from the Mediterranean then the black sea. The precipitations will touch mostly the lower parts of Maritza and Tundja.

Typical Winter flood:

A cut-off cyclonic system makes for a series of smaller Mediterranean cyclones which move through the country from the south to the north (type C2). There are a couple of days of strong precipitations

Typical spring early summer situation: 09-22 May 1998

The moisture comes either from the Aegean or the Black Sea. The mountainous regions are more likely to suffer heavy convective precipitations in late spring. In this occasion it is the region of Strandja, Sakar and Rodopi where the biggest precipitation amounts are registered on 11 May. The reason is the stationary paths of MCSs. Many of them end-up going through southeast Bulgaria. Precipitations as high as 70mm/24h are registered in the region of Haskovo on 11.05 and as high as 80-140mm on 11-12.05 in Rhodopi.

A second system cyclonic develops to the west of the Balkans and then moves towards Greece where it stays a couple of days around 17-19 May. It is the type of the summer flood systems and same dynamics apply though the registered precipitations are less important than those on 11-12 May.

2.1 Flood Seasonality

The following figure presents the monthly cumulative occurrence of floods on Maritza and Tundja. Only the annual maxima are considered. The annual distribution shows that winter floods (cold season, with or without snow melting) are largely predominant to convective types of floods, for moderate as well as for large floods.

Note nonetheless that the worst floods during the last 8 years are very untypical: The most severe floods accured in August 2005 (upper part of Maritza) and Novembre 2007 (lower part of Maritza and Turkey): these months showed no occurrence of large floods before.

One of the questions which may rise from these recent events is about the impact of the climate change on the intensity and seasonality of the floods.

2.2 Flood Frequencies

We performed numerous statistical analysis on rains and discharges records at most of the hydro-meteorological stations. The data were provided mainly by NIMH.

The technique is to fit the observed records along statistical laws which are known to well represent the probability of extreme hydrological events.

We show hereafter some of the statistical adjustment we made with several of these statistical laws using dedicated software from HKV consultants.

Flood probability of occurrence on Maritza

Flood probability od occurrence on Tundja

The raw results from our statistical analysis have been then re-analysed in order to have a coherent set of values between the different stations, reflecting the physical processes and the behaviour of the different tributaries on which we performed also such analysis. More specifically we corrected some incoherences on discharges data probably due to some approximations in the used rating curves at stations, and we accounted for the dam and reservoirs influences on statistics.

The very large number of reservoirs and dams, throughout the watershed, has modified the statistics of floods for the recent years as the most frequent floods are now much dampened by the water retention accumulated capacity within these reservoirs.

However this dampening, which influences the statistics of floods up to a certain return period, would not hold for the most extreme floods (over 100 years return period) as most of the small retention dams would be overtopped for such extreme events.

The final results of our analysis are:

Return Period

5y

10y

20y

50y

100y

1000y

Belovo (*)

100

150

180

250

400

700

Pazardjik

200

300

450

650

900

1600

Plovdiv

400

600

750

950

1500

2400

Parvomay (*)

600

780

950

1200

1800

2700

Harmanli

950

1200

1400

1650

2400

3350

Svilengrad (*)

1000

1250

1480

1700

2540

3650

 

Return Period

5y

10y

20y

50y

100y

1000y

Banya (*)

50

75

100

120

130

1000

Yambol

125

150

200

250

300

800

Elhovo

150

170

200

240

270

600

Parvomay (*)

600

780

950

1200

1800

2700

The same type of analysis was also performed on the tributaries of both rivers

Because of the variability of the basins in surface and shape and because of the too short period of data samples the statistical results were quite incoherent between each other. So we had to make a large cross coherence analysis between the basin Area, their morphology, the observed data and the statistical parameters by optimising the function:

Qn = Cn x Km x Area f


Where :

Qn = discharge with n % probability ; (1/n = return period)

Q5 = 1/ 20 years ; Q1 = 1/100 year probability Q0,1 = 1/1000 year probability

Cn takes values depending on n only

Km takes values depending on the hypsometry of the basin only

f : varies between [0,5 and 0,6] depending on land cover, hypsometry and shape…


We actually defined only two different classes of tributaries with two different values for Km and f

Our final result for the tributaries are given in the following table :

Station

Name

Area

Sq km

Q5%

Q1%

Q0,1%

71210

river Mati Vir – village Mirovo

411

139

264

486

71380

r. Yadenica – village Goliamo Belovo

138

72

137

252

71420

Chepinska river - Маrko Nikolovo

977

233

443

817

71480

Toponitza river – village Poibrene

947

229

435

802

71550

Luda Yana river – village Sbor

674

187

355

654

71700

river Maritza - Belovo

750

199

378

697

72420

Parvenecka river – village Hrabrino

236

99

189

348

72460

Chepelarska river – village Bachkovo

830

212

402

741

73030

r.Chinardere - v.Dalbok izvor

130

70

132

243

73370

Banska river – village Dobrich

333

122

232

428

73480

Sazliika river - Galabovo (F)

3121

255

485

893

73550

Harmanliska river - Harmanly

963

231

440

810

74200

r.Kalnica - v.Krumovo (F)

450

85

161

296

74440

r.Belenska - g.Chumerna

371

131

248

457

74500

Mochuritza river–village Vodenichane (F)

1125

143

271

499

74580

r.Sinapovska - v.Sinapovo (F)

868

123

234

431

(F) : Not steep Basin (others are considered as steep)

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