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COUNTRY FILES (Contd.)

CONGO

1. GEOGRAPHY AND CLIMATE
(Welcomme, 1979a)

The Democratic Republic of Congo (with a surface area of 341 500 km2) can be divided into four topographical regions:

  1. a coastal plain which extends about 60 km inland to the foothills of the Mayombe Mountains;
  2. the Niara and Ogouè Valleys of the south-centre lie between mountains;
  3. the Bateke Plateau, which serves as watershed to the Ogouè and some of the feeder streams of the Zaire system; and
  4. the Zaire Basin, which occupies the whole of the north of the country.

There is some dry savanna in the centre of the country but most of it is covered with dense rain forest.

There is one long rainy season which lasts for eight months of the year and peaks in April and November. The dry season lasts from June to September. Temperatures are even, but reach a minimum during the dry period.

Congo is primarily an agricultural country although it also has a considerable forestry industry.

2. HYDROGRAPHY (see Figure 1)

2.1 Lakes

There are several minor lakes associated with river floodplains (i.e., Lakes Tele, Cayo, Dinga, Nanga). Brazzaville is located on Pool Malebo (Stanley Pool), a lake-like enlargement of the Zaire/Congo River.

2.2 Rivers, Floodplains and Swamps

The Zaire/Congo River forms the frontier between Zaire and Congo for over 500 km of its lower course. The frontier continues for a further 500 km up the Ubangui. The hinterland of these rivers forms a vast marshland (the Cuvette Congolaise) with extensive seasonal savanna floodplains and permanently flooded gallery forests. The area which covers about 30–45 000 km2 is drained by the River Sangha, the Likouala and Likouala-aux-Herbes as well as by numerous smaller rivers. Of several smaller coastal rivers, the Kouilou is the largest.

2.3 Reservoirs

There is one impoundment on the Bouenza (tributary of Kouilou) at Moukoukoulou and a second is planned at Sounda on the Kouilou.

2.4 Coastal Lagoons

There are three small lagoons: Conkouati, Loubi and Malonda.

3. FISHERY PRODUCTION/POTENTIAL

3.1 Aquaculture

In 1986, 525 private fish farmers, exploiting 1 454 ponds for a total area of 4 479 ares and production of 45 t/yr, were counted by an FAO/UNDP project. Ten aquaculture centres are managed by the Government with FAO/UNDP assistance. An industrial fish farm is in operation in Brazzaville and produces 15 t Oreochromis niloticus per year (Deceuninck, 1988). In 1987, 115 t Oreochromis niloticus were produced in the whole country (Vincke, 1989, pers. comm.).

3.2 Fish production and per caput supply

Table 1. FISH PRODUCTION AND PER CAPUT SUPPLY - Congo, 1970–1987

 Nominal Domestic Production
(excluding exports)
(t) 2
Nominal Consumer Supply
(excluding imports and exports) (kg/person)
YearPopulation
'000
1
Inland captureAquaculture
3
Marine captureTotalInland captureAquaculture
3
Marine captureTotal
19701 2013 000  - 4  9 70012 7002.5-  8.010.5
19711 2306 000-  7 60013 6004.9-  6.111.0
19721 2597 000-14 00021 0005.5-11.116.6
19731 2898 000-15 50022 5005.4-12.017.4
19741 3208 000-14 79422 7946.0-11.217.2
19751 3528 000-15 10323 1035.9-11.117.0
19761 3858 000-17 86925 8695.7-12.918.6
19771 4198 000-15 36423 3645.6-10.816.4
19781 4548 000-16 29724 2975.5-11.216.7
19791 4918 000-19 63027 6305.4-13.118.5
19801 5298 000-  20 965*28 9655.2-13.718.9
19811 56812 000-  17 665*29 6657.7-11.218.9
19821 60911 95644 5  18 835*30 8357.40.0311.719.1
19831 65111 98911 5  21 702*33 7027.3  0.00613.120.4
19841 69511 97129 519 29731 2977.10.0211.418.5
19851 74013 50039 516 33629 8757.70.02  9.417.1
19861 78811 91882 517 99429 9946.70.0410.016.7
19871 83713 385115 5  17 51331 0137.30.06  9.516.8

1 Source: FAO
2 Source: FAO Fisheries Department, FISHDAB
3 included in “Inland capture” if not specified
4 - = data not available
5 Vincke, 1989 (pers.comm.)
* Marine exports were: 1980: 850t; 1981: 60 t; 1982: 730 t; 1983: 500 t

3.3 Inland catch range and potential yield

See Table 2.

Table 2. INLAND CATCH RANGE AND POTENTIAL YIELD

Water bodyPeriodAnnual catch range (t)Potential annual yield (t) *
Lake Louandjili--3
Pool Malebo-1 000-
Lake Ndembo--3
Cuvette Congolaise Floodplain and Likouala, Likouala-aux-Herbes and Sangha Rivers -10 000–15 00060 000–100 000**
Other water bodies--10 000–15 000***
 
No specific data available for:
Lakes Cayo, Dinga, Loufoualeba, Nanga, Tchipounga, Tele, and Youbi;
Rivers Congo, Kouilou, Ogooue and Ubangi;
Lagoons Conkouati and Malonda.

* when not specified, included in “other water bodies”
** based on 15–25 kg/ha/yr; see text
*** rough estimate.


Total annual yield:  11 000–16 000 t
   12 000 (Deceuninck, 1988)
Potential annual yield:  70 000–115 000 t
 100 000 (Corsi et al., 1980)

4. STATE OF THE FISHERY (mainly after Welcomme, 1979a)

4.1 Yield

There is little doubt that the present catch from Congo is very low, relative to the potential.

4.2 Factors influencing yield

The main fishery is at present concentrated on the extensive floodplains of the Congo Basin (centered around Mossaka, Loukolela and Djoundou), but are fished at a low level because of their inaccessibility and low population densities. Some small coastal lacustrine bodies are in need of environmental rehabilitation.

4.3 Future development possibilities

The potential for increasing catches is very great. The floodplain complex of the Sangha/Likouala/Likouala-aux-Herbes (Cuvette Congolaise) Rivers is one of the most important undeveloped inland fisheries in Africa. The 30–40 000 km2 of floodplains are partly savanna and although the gallery forests and flooded rain forests are covered with blackwaters, the savanna plains are flooded by white-waters. Even a conservative estimate of sustainable potential (15–25 kg/ha) gives a yearly catch range of 60–100 000 t. Because of its inaccessibility and the difficulties of operating there, the development of the area may take some time. However, current activities for the creation of pre-cooperative groups and the introduction of new fishing methods promise a rapid development of the sector in the near future.

Fig. 1

Fig. 1. HYDROLOGICAL NETWORK OF REPUBLIC OF CONGO
(Stauch, 1963)

5. KEY BIBLIOGRAPHY

Corsi et al., 1980

6. WATER BODIES DIRECTORY

Lakes
CayoPool Malebo (= Stanley Pool)Tchipounga
DingaNangaTele
LouandjiliNdemboYoubi
Loufoualeba  
 
Rivers
Congo/ZaireOgooue 
KouilouSangha (and Floodplain) 
Likouala (and Floodplain)Ubangi/Oubangui 
Likouala-aux-Herbes (and Floodplain)  
 
Lagoons
Conkouati  
Loubi (=Djeno)  
Malonda  

LAKE CAYO

Geographical data
Location:Congo coastal plain - 4° 55'S; 12° 0'E
Surface area:16.5 km2
Depth:4.5 m (max.); 4.2 m (mean, at max. volume)
Volume:30–70 × 106 m3 (varies seasonally)
Max. length:7.5 km
Max. width:5.0 km
Annual fluctuation in level: 1.8 m
Major inflowing river:Loèmè (from Lake Loufoualeba)
Outflowing river:Loèmè (to Malonda Lagoon)
Special features:Heavily infested with papyrus
 
Physical and chemical data
Surface temperature:26–35.5° C
Oxygen:low (0–4.5 mg/l) oxygen levels due to decomposition of dead plant material
 
Fisheries data
No. of fish species:only Protopterus dolloi present in lake.

LAKE DINGA

Geographical data
Location:Congo, coastal plain - 4° 11'S; 11° 53'E
Altitude:circa 400 m asl
Surface area:4.7 km2
Max. length:4.5 km
Max. width:1.5 km
Major inflowing river:lateral spillage from Kouilou River

LAKE LOUANDJILI

Geographical data
Location:Congo, coastal plain - 4° 21'S; 11° 37'E
Depth:9.0 m (max.)
Surface area:about 2 km2
 
Physical and chemical data
pH:5.40–6.1
Temperature:30.0–31.9° C
 
Fisheries data
Potential annual yield:3 t (15 kg/ha, acid water: Welcomme, 1989, pers.comm.)

LAKE LOUFOUALEBA

Geographical data
Location:Congo coastal plain - 4° 53'S; 11° 57'E
Surface area:5.7 km2
Depth:4.5 m (max.); 3.0 m (mean, at max. volume)
Volume:8–17 × 106 m3
Max. length:5 km
Max. width:2 km
Annual fluctuation in level: 1.3 km
Major inflowing rivers:   Loèmè, Koulombo
Outflowing river: Loèmè (to Lake Cayo)
Special features: Heavily infested with papyrus
 
Physical and chemical data
Temperature:25.5–32° C
Oxygen:low (<4 mg/l) oxygen levels, due to decomposition of dead plant material
 
Fisheries data
No. of fish species:only Protopterus dolloi present in lake.

POOL MALEBO (= STANLEY POOL)
(International water)

Geographical data
Location:Congo, Zaire - 4° 15'S; 15° 28'E
Surface area:550 km2 (330 km2 in Congo; 220 km2 in Zaire)
Depth:20 m (max.); 3 m (mean)
Max. length:40 km
Max. width:20 km
Shoreline:95 km
Major inflowing river:Congo/Zaire
Special features:Pool Malebo is a riverine lake, with a large central island (Ile Mbamou) and several smaller sandbanks which are subject to inundation.
 
Fisheries data
Total annual catch:circa 1 000 t from Congo waters

LAKE NANGA

Geographical data
Location:Congo, coastal plain - 4° 13'S; 11° 48'E
Altitude:circa 300 m asl
Surface area:circa 15 km2
Depth:2 m (max.); 1.5–2.0 m (mean, varies seasonally)
Max. length:8 km
Max. width:2 km
Major inflowing river:Louandjili
Outflowing river:Louandjili (tributary of Kouilou)
 
Physical and chemical data
pH:6.35–7.20
Temperature:27–34° C

LAKE NDEMBO

Geographical data
Location:Congo, coastal plain - 4° 21'S; 11° 39'E
Depth:6.5 m (max.)
Surface area:circa 2 km2
 
Physical and chemical data
pH:5.21–5.82
Temperature:30.8–32.5° C
 
Fisheries data:
Potential annual yield:3 t (15 kg/ha, acid water: Welcomme, 1989, pers.comm.)

LAKE TCHIPOUNGA

Geographical data
Location:Congo coastal plain - 4° 43'S; 11° 54'E
Surface area:0.08 km2

LAKE TELE

Geographical data
Location:Congo, Cuvette Congolaise (Central Basin) - 1° 20'N; 17° 9'E
Surface area:20 km2
Max. length:6.5 km
Max. width:4.5 km
Main inflowing river:lateral flood spillage from Bali River (tributary of Likouala-aux-Herbes River)

LAKE YOUBI

Geographical data
Location:Congo, coastal plain - 4° 11'S; 11° 40'E
Surface area:3.5 km2
Max. length:2.5 km
Max. width:2.0 km

CONGO/ZAIRE RIVER
(International water)

See also “ZAIRE RIVER” under “ZAIRE” (country) for more detailed data.

Geographical data
Source:The longest continuous stream is: Chambezi River, Lake Bangweulu, Luapula River, Lake Mweru, Luvua River, Lualaba River. The Lualaba River changes its name to Congo/Zaire at Kisangani, 2 000 km from the mouth. In the Congo it is navigable from Brazzaville to the Oubangui mouth.
Altitude:The highest source is that of the Lualaba - 1 535 m asl.
Total length:4 700 km
Drainage area:4 014 500 km2
Area of water:(including Ubangui basin)
 Congo/Zaire17 000 km2
 Tributaries of Congo/Zaire  4 100 km2
 Ubangi and tributaries  1 300 km2
 Other rivers  8 500 km2
 Kasai and tributaries  3 100 km2
Countries traversed:The basin covers parts of Angola, Burundi, Cameroon, Central African Republic, Congo, Rwanda, Tanzania, Zaire, Zambia.
Major tributaries:Alima, Aruwimi, Elila, Itimbiri, Kwa, Lomami, Lowa, Lufira, Lukuga, Lulonga, Luvua, Mongala, Sangha, Ruki, Ubangi
Discharges to:South Atlantic - 6° S; 12° E
Volume of discharge at mouth: 22–67 000 (mean 39 160) m3/sec
Suspended silt load:50 500 000 t/yr
Flood regime:Bimodal floods with peaks in May and December
Special features:Lakes Kiyu, Tanganyika, Bangweulu, Mweru, Maji Ndombe, Pool Malebo, Upemba, Tumba. Waterfalls: Portes d'Enfer, Wagenia, numerous cataracts; dams on nearly all tributaries.

Physical and chemical data
pH:Both pH and conductivity vary considerably in the different water courses of the system. pH may be as low as 4.4 in flooded forests; 5.5 in upper course; 6.5 in middle course; 4.00–6.5 in Tshwapa River; 7.05–7.8 at Yangambi. *
 (* Data provided by Gosse (1963) for the Zaire River at Yangambi, and by Matthes (1964) for the Tshwapa River.)
Ionic composition:(Meybeck, 1978)
  mg/l 
 Ca2.40 
 Mg1.25 
 Na1.70 
 K1.10 
 HCO311.20   
 Cl2.85 
 SO42.95 
 SiO29.80 

KOUILOU RIVER

Geographical data
Source:Congo (Zala Mountains)
Altitude:880 m asl
Total length:605 km
Drainage area:60 000 km2
Countries traversed:Congo
Major tributaries:Louessè, Niari, Bouenza
Discharges to:Atlantic Ocean. 4° 28'S; 11° 42'E, Coastal plain
Volume of discharge at mouth: 700 m3/sec mean (300–1 000 m3/sec)
Flood regime:two peaks: April-May and November-December
Special features:Lateral floodplains in lower section with Lakes Dinga and Nanga. There is an impoundment at Moukoukoulou on the Bouenza, and a second is planned at Sounda on the Kouilou.

LIKOUALA RIVER AND FLOODPLAIN

Geographical data (see Fig. 2)
Source:northwestern Congo
Altitude:780 m asl
Total length:480 km
Countries traversed:Congo
Major tributaries:Kouyou, Mambili, Lengouè
Discharges to:Congo/Zaire River (1° 11'S; 16° 49'E)
Special features:Extensive lateral floodplain (Cuvette Congolaise) along lower course. The combined area inundated twice yearly along the lower reaches of the Sangha, Likouala-aux-Herbes and Likouala Rivers is 30–40 000 km2.
 
Physical and chemical data (Stauch, 1963; Corsi, et al., 1980)
pH:Likouala-Mossaka:4.9–5.6
Temperature:Likouala-Mossaka:25.5–27.5° C
Conductivity:Likouala-Mossaka:8.8 μ S/cm
  
Fisheries data 
No. of fishermen:  7–10 000 for combined floodplain
Total annual catch:10–15 000 t from combined floodplain
Potential annual yield for 40 000 km2 combined floodplain:
   60 000 t (15 kg/ha - Welcomme, 1989, pers.comm.) to
 100 000 t (20–25 kg/ha - Corsi, et al., 1980, for acid, brown and poor-in-minerals water).

LIKOUALA-AUX-HERBES RIVER AND FLOODPLAIN

Geographical data
Source:northeast Congo (see Fig. 2)
Altitude:470 m asl
Total length:475 km
Countries traversed:Congo
Major tributaries:Tanga, Moudongoumo, Bali
Discharges to:Sangha River (0° 50'S; 17° 12'E)
Special features:Lake Tele on Bali tributary. Extensive lateral floodplain (Cuvette Congolaise) along lower course. The combined area inundated twice yearly along the lower reaches of the Sangha, Likouala-aux-Herbes and Likouala Rivers is 30–40 000 km2.

Physical and chemical data (Stauch, 1963; Corsi et al., 1980)
pH:5–6.4
Conductivity:25.3 μ S/cm
 
Fisheries data 
No. of fishermen:7–10 000 for combined floodplain
Total annual catch:10–15 000 t from combined floodplain
Potential annual yield for:    40 000 km2 combined floodplain:
   60 000 t (15 kg/ha - Welcomme, 1989, pers.comm.) to
 100 000 t (20–25 kg/ha - Corsi et al., 1980, for acid, brown and poor-in-minerals water).

Fig. 2

Fig. 2. HYDROLOGICAL NETWORK OF CENTRAL BASIN (CUVETTE CONGOLAISE)
(Stauch, 1963)

OGOOUE RIVER
(International water)

Geographical data
Source:Congo (Leketi, Zala and Massa Mountains)
Altitude:880 m asl
Total length:920 km (100 km in Congo)
Drainage area:205 000 km2 (at Lambarene)
Countries traversed:Gabon, Congo
Major tributaries:Ivindo, Ngouniè, Ofoouè
Discharges to:Atlantic Ocean - 1° 2'S; 8° 53'E
Volume of discharge at mouth:
 13 500 m3/sec (max.);
 1 950–7 340 m3/sec (mean monthly);
Flood regime:Bimodal flood with peaks in April-May and November-December
Special features:Large floodplain in lower reach with several associated lakes (Anengue, Avanga, Onangue, Gomè, Nkonie, Azingo and Nguene). Other swampy/floodplain depressions associated with Ngouniè and Ivindo tributaries (the latter mostly in Congo).

SANGHA RIVER AND FLOODPLAIN
(International water)

Geographical data
Source:Karre Mountains, western Central African Republic (see Fig. 2)
Total length:1 000 km
Countries traversed:Cameroon, Congo, Central African Republic
Major tributaries:Likuala, Ekela and Dja Rivers
Discharges to:Zaire/Congo River
Volume of discharge at mouth: 700–4 300 m3/sec
Special features:Extensive lateral floodplain (Cuvette Congolaise) along lower course in Congo. The combined area inundated twice yearly along the lower reaches of the Sangha, Likouala-aux-Herbes and Likouala Rivers is 30–40 000 km2.
 
Physical and chemical data (Corsi, et al., 1980)
pH:Sossolo: 6.2
Conductivity:43.7 μ S/cm
 
Fisheries data
No. of fishermen:7–10 000 for combined floodplain
Total annual catch:10–15 000 t from combined floodplain
Potential annual yield: for    40 000 km2 combined floodplain:
   60 000 t (15 kg/ha - Welcomme, 1989, pers.comm.) to
 100 000 t (20–25 kg/ha - Corsi, et al., 1980, for acid, brown and poor-in-minerals water).

UBANGI/OUBANGUI RIVER
(International water)

Geographical data
Source:The Ubangi is formed by the confluence of the Uèlè and Bomu Rivers at Yakoma. The Uèlè rises in the mountains near Lake Albert; the Bomu has its source on the frontier between Sudan, Central African Republic and Zaire.
Total length:Mbomou/Bomu:   710 km (Zaire, Central African Republic)
 Uèlè:1 210 km (Zaire)
 Ubangi:1 060 km (Congo, Central African Republic, Zaire)
 The longest continuous course is the Uèlè + the Ubangi (2 270 km)
Drainage area:772 800 km2
Countries traversed:Congo, Central African Republic, Zaire
Major tributaries:Kotto, Ouaka, Mbori, Chinko
Discharges to:Congo/Zaire at Liranga
Flood regime:August to December, max. in October (unimodal); low in March-April
Flow at Bangui:800 to 11 000 m3/sec; mean: 4 000 m3/sec
Level variation:5.5 m (mean); 9 m (max.)
 
Physical and chemical data - at Ndjoundou (Corsi, et al., 1980)
pH:7.1
Conductivity:55.5 μ S/cm
Oxygen:mean at Bangui: 6 mg/l, 75% saturation (Micha, 1973)
 
Fisheries data
No. of species:233 in 25 families (Gosse, 1968; Micha, 1973)

CONKOUATI LAGOON

Geographical data
Location:Congo, Coastal plain - 3°58'S; 11°20'E
Surface area:24 km2
Depth:5 m (max.); 2.5 m (mean)
Volume:60 × 106 m3
Annual fluctuation in level: 0.3 m
Max. length:17 km
Max. width:4.5 km
Major inflowing rivers: Niambi, Ngongo, Louvandzi
Outflow:to Atlantic Ocean
 
Physical and chemical data
Salinity:3.17–32.94

LOUBI (= DJENO) LAGOON

Geographical data
Location:Congo, coastal plain - 4°54'S; 11°55'E
Special features:Highly polluted by petroleum wastes which have gravely affected the ichthyofauna.

MALONDA LAGOON

Geographical data
Location:Congo, coastal plain - 4°57'S; 11°57'E
Surface area:0.05 km2
Depth:2.5 m (max.); 0.8 m (mean)
Volume:40 000 m3
Annual fluctuation in level: 0.5 m
Major inflowing river: Loèmè (from Lake Cayo)
Outflow:50 m-long-canal to Atlantic Ocean
Special features:Low (<4.0 mg/l) oxygen levels due to high BOD input from Lakes Cayo and Loufoualeba, upstream.
 
Physical and chemical data
Surface temperature:27.5–34°C
Salinity:<3

7. BIBLIOGRAPHY

Corsi, et al., 1980
Deceuninck, 1988
Gosse, 1963; 1968
Matthes, 1964
Meybeck, 1978
Micha, 1973
Stauch, 1963

KENYA

1. GEOGRAPHY AND CLIMATE

The surface area of Kenya is 569 250 km2. The western and central parts of Kenya consist of highland plateaus which are divided from north to south by the Great Rift Valley. The plateaus are crowned by mountains, of which Mount Kenya (5 200 m) is the highest. The highlands slope downward to the east.

Kenya has a wide range of climates. The north and much of the east of the country are desertic with little rainfall and high temperatures. The highland plateaus have warm temperate climates with two well marked rainy season: February-May and October-December. The coast has a monsoon climate with a prolonged wet season peaking in May.

The highlands of Kenya are used for agriculture, whereas the lowland areas tend to be occupied by pastoral peoples. Large areas of the country have been reserved as game parks and much of the north is desertic and supports only very limited population.

2. HYDROGRAPHY (see Figure 1)

2.1 Lakes (Welcomme, 1979a) (see Table 1)

The major Kenyan lakes fall into two main groups: (a) Lake Victoria; and (b) the Rift Valley lakes. Kenya possesses 69% of Lake Victoria. A considerable portion of this is located in the shallow and productive Kavirondo Gulf. The larger Rift Valley lakes are Lakes Turkana, Baringo, Bogoria, Nakuru, Elementeita, Naivasha and Magadi. One small lake, Lake Jipe, lies between Kenya and Tanzania (about half in each country). Many other small lakes are dotted around the country, and there are several on the lower floodplains of the Tana and Sabaki Rivers.

2.2 Rivers, Floodplains and Swamps (Balarin, 1985a; Welcomme, 1979a)

The drainage system of Kenya is largely influenced by the Great Rift Valley and five drainage basins are evident (see Figure 1; Table 2):

Lake Victoria: the Lake Basin is a multi-river basin containing eight rivers of significant size. These rivers drain about 47% of the total of Kenya's runoff, carrying it westward into Lake Victoria. Their catchment comprises the whole of the area west of the Rift Valley, delineated by Mount Elgon in the North.

Rift Valley: an area with its own internal drainage, discharging northwards into Lake Turkana and southwards into Lake Natron, with several sub-drainage rivers and lakes. Although one of the larger catchments, its mean annual runoff is very low.

Athi River: the southern catchment east of the Rift Valley, draining from the central highlands to the Indian Ocean.

Tana River: drains eastward from Mount Kenya to the Indian Ocean; one of the largest rivers with the second highest MAR, 7% of rainfall.

Ewaso Ngiro: the largest but driest catchment in Kenya, it extends from north of Mount Kenya and the Aberdares to empty into the Iorian swamp. In exceptional floods, flows continue into Somalia.

Fig. 1
DRAINAGE BASINSNATURAL LAKESMAIN RIVERS
1 Lake VictoriaL1 VictoriaL8 Hannington (Bogoria)R1 Tana
2 Rift ValleyL2 TurkanaL9 Nakuru*R2 Ewaso Ngiro
3 Athi-Sabaki RiverL3 BaringoL10 ElementaitaR3 Sabaki (Athi)
4 Tana RiverL4 MagadiL11 ChalaR4 Turkwel
5 Ewaso NgiroL5 NaivashaL12 LogipiR5 Migori
 L6 Amboseli** = seasonalR6 Nzoia
 L7 Jipe  

Fig. 1. MAJOR LAKES, RIVERS AND DRAINAGE BASINS IN KENYA
(adapted from: Survey of Kenya, 1970)

Table 1. MORPHOLOGICAL DATA AND USE OF MAJOR LAKES AND RESERVOIRS
(Balarin, 1985a, based on Govt. of Kenya, 1979a; Limiri, pers.comm)

Water body*Drainage basinVolume
(106/m3)
Area
(km2)
Fishery potential
(t/yr)
Use
a
Altitude ab. MSL
m
Natural Lakes      
L.1VictoriaI 3 785     w,c,r,f1 134
L.2TurkanaII 6 405     f,w,r   375
L.3BaringoII 130     f,w,r,i   975
L.4MagadiII 104     c   580
L.5NaivashaII 115–191 f,w,r,(p)1 875
L.6Amboseli bIII  0–115     r1 190
L.7JipeIII  40    500f   700
L.8HanningtonII 34     r (p)   960
L.9Nakuru bII 5–50     r,f1 757
L.10ElementaitaII 18–21     r1 783
L.11Chala  4    200f 
L.12Logipi  34       
 
Reservoirs
B.1MasingaIV1 560120.0    480p,f,i 
B.2KamburuIV   15615.0     p,f 
B.3GitaruIV     203.1     p,f 
B.4KindarumaIV     162.4     p,f 
B.5SasumuaIV     
B.6Munyu cIII 499.0    175p,i,f 
B.7Kiambere cIV 25.0    40–60p,i,f 
 WanjiiIV   p 
 Grand Falls cIV 119     p 
 Adamson's Falls cIV 102     p 
 Koreh Falls cIV 190     p 

* Numbers refer to Figure 1.
a i=irrigation; c=commercial/industrial; f=fishery; r=recreation; p=power generation; w=water supply
b seasonal
c proposed

The rivers of Kenya fall into two main groups:

  1. coastal rivers - the Sabaki (Athi, Galana) River with a broad floodplain in its lower reaches, and the Tana River;

  2. rivers flowing into Lake Victoria - of which the Nzoia, Yala and Sio Rivers are the most important.

Several seasonal rivers, such as the Turkwell, drain the western rift wall toward Lake Turkana. FAO/UNDP (1966) estimated a total of about 3 000 km of rivers in the country.

The rivers exhibit seasonal flow patterns characteristic of the peak wet seasons, generally flooding from March to May and from October to December.

Table 2. CATCHMENT AREA AND MEAN ANNUAL RUNOFF FOR MAJOR RIVERS AND DRAINAGE BASINS

(Balarin, 1985a, based on: Bhushan, 1982; Govt. of Kenya, 1970; Ongwenyi, 1979; Litterick, 1981; Coche & Balarin, 1982; Survey of Kenya, 1970)

DRAINAGE BASIN/River systemMajor River SystemsTotal
catchment
Rainfall runoffRunoff as % of rainfall
Length
(km)
Catchment
(km2)
MAR
(million
m3)
Mean
rainfall
(mm/yr)
Total MAR*
('000
km2)
% 106 m3% of total
I. LAKE VICTORIA
Nzoia25812 6961 777     45  8.41 2456 706–7 29046.912  
Mara290(8 941)1 038         
Gucha (Migori) 6 368952      
Kibos 4 992  68      
Sondu1103 489845      
Nyando 3 450247      
Yala1803 2621 114         
Sio (Malakisi) 2 326287      
Kuja  90        
II. RIFT VALLEY
Molo    39      
Suam-Turkwel38020 720 12721.8  535806–8606.01
Gilgil    28      
Ewaso Ngiro (S)140        
Perkerra  125      
Melawa110 184      
Arror Kerio350        
III. ATHI RIVER
Athi-Galana-Sabaki54744 0297507012.05851 2949.03
Voi210        
Tsavo  138      
Njoro-Lumi  293      
IV. TANA RIVER
Tana70862 1604 700  13222.75354 70032.97
V. EWASO NGIRO
Ewaso Ngiro (N)83056 98074020535.12557405.22
Total(4 203+)  579  14 299–14 830100.0 
Mean     631  5

* MAR: Mean Annual Runoff

There are extensive seasonal floodplains and swamps in Kenya which are water-filled during the rainy season for about 3–4 months of the year. The extent of these areas is not known. Similarly, there is a large number of pans and water holes, natural depressions which temporarily store rain runoff.

The groundwater reserves are extensive at an average depth of 78 m below surface. This implies a water table deeper than in most places in Africa. But a large number of shallow wells is also common. There is an extensive domestic water supply network throughout the densely populated areas.

2.3 Reservoirs (see Table 1)

There are four important hydroelectric impoundments on the upper Tana River. Also listed in Table 1 are a number of the larger man-made reservoirs. Those considered are built mainly for hydroelectric power (HEP) schemes or irrigation projects, but there are numerous smaller water storage units dispersed throughout the country (Balarin, 1985a). Welcomme (1979a) suggests over 3 000 farm dams, as reported by Rhodes (FAO/UNDP, 1966).

2.4 Coastal Lagoons

There are several small seasonal lagoons in coastal areas at the mouths of the Tana and Galana Rivers. In addition, large coastal tracts of tidal mangrove swamps exist (combined area of over 12 960 km2 estimated by Bell and Canterbery, 1976).

3. FISHERY PRODUCTION/POTENTIAL

3.1 Aquaculture

FAO/UNDP (1966) indicates that in 1965 there were between 12 500 and 22 000 small rural ponds with a combined surface area of between 280 and 500 ha. Most of the ponds were small and many were abandoned. In 1975 official estimates suggest over 28 000 fish ponds ranging from 0.04 to 0.8 ha (Kagai, 1975).

The most recent official statistics (1986 Fisheries Statistical Bulletin, Govt. of Kenya) indicates that fish farming production reached 980 t. A recent FAO re-evaluation (Vincke, pers. comm., 1989) estimates the actual aquaculture production at a lower level: 224 t in 1986, 210 t in 1987. In 1987, 5 t of common carp (Cyprinus carpio), 121 t of tilapia (mainly Oreochromis niloticus), 80 t of trout (Salmo gairdneri) and 4 t of shrimps (Penaeus spp.) were produced.

3.2 Fish production and per caput supply

See Table 3.

Table 3. FISH PRODUCTION AND PER CAPUT SUPPLY - Kenya, 1970–1987

 Nominal Domestic Production
(excluding exports)
(t) 2
Nominal Consumer Supply
(excluding imports and exports) (kg/person)
YearPopulation
'000
1
Inland captureAquaculture
3
Marine captureTotalInland captureAquaculture
3
Marine captureTotal
197011 29025 800   - 47 90033 7002.3-0.73.0
197111 73621 300-6 90028 2002.8-0.62.4
197212 19922 300-7 70030 0002.8-0.62.4
197312 68125 000-4 00029 0002.0-0.32.3
197413 18225 800-3 60029 4001.9-0.32.2
197513 70322 810-4 53127 3411.7-0.32.0
197614 25936 872-4 14941 0212.6-0.32.9
197714 84438 443-4 33942 7792.6-0.32.9
197815 45641 760-4 63446 3942.7-0.33.0
197916 09647 688-4 05551 7433.0-0.23.2
198016 76642 171-5 55247 7232.5-0.32.8
198117 46551 385-6 31657 7012.9-0.43.3
198218 19673 822195 57 51281 5294.10.010.44.5
198318 96090 867201 57 07098 1384.80.010.42.5
198419 76184 706207 56 04190 9544.30.010.34.6
198520 60099 551213 56 196105 960  4.80.010.35.1
198621 483113 362  224 56 212119 798  5.30.010.35.6
198722 405124 096  210 56 875131 181  5.50.010.35.8

1 Source: FAO
2 Source: FAO, based on: Statistical Bulletin, Fisheries Department, Ministry of Tourism and Wildlife, Govt. of Kenya.
Note: FAO Yearbook, Fishery Statistics, Vol. 62, 1986): Kenya. Landings recording system for Lake Victoria which accounts for 70% of the total catch, considered unreliable. Increased catch recorded in 1986 largely due to improved coverage.

3 included in “Inland capture” if not specified
4 - = data not available
5 Vincke, 1989, pers.comm.

3.3 Inland catch range and potential yield

Table 4. INLAND CATCH RANGE AND POTENTIAL YIELD

Water bodyPeriodAnnual catch range (t) 1Potential annual yield (t) 1
Lake Baringo1985317900–3 500
 1986154 
Lake Chala1982 90 
 1983–8610-1  
Lake Jipe1983–86463-128       100–300
Lake Naivasha19865761 000–4 000
Lake Turkana19867 324   5 000–20 000
Lake Victoria1986103 163 4      25 000–40 000
Ewaso Ngiro River and Ngare Ngiro Swamp1965300-
Sabaki River1960300-
Aruba Reservoir1965  20-
Lessos Reservoir1965  50-
Miscellaneous Lakes, Rivers, including Reservoirs1986   870 22 600–23 000 3
Aquaculture1987210-
 
No information available for:
Lakes Kabongo, Kanyaboli, Kwenia, Logipi and Nakuru; 
Rivers Migori, Nzoia, Tana, Turkwel and Lorian Swamp; 
Reservoirs Gtaru, Kamburu, Kindaruma and Masinga. 

1 Source: see text “Water bodies directory”
2 Source: Statistical Bulletin, Fisheries Dept., Govt. of Kenya
3 Source: Balarin, 1985a
4 see Note 2, Table 3

Total annual yield: using most recent data: 113 094 t (see also Table 3)

Potential annual yield: 34 600–90 800 t

4. STATE OF THE FISHERY
(mainly adapted and updated from Balarin, 1985a)

4.1 Yield

In 1986, 94.5% of the total landings originated from freshwater sources and 5.5% from marine fisheries. Lake Victoria produced 86.1% of this catch and Lake Turkana 6.1%. Other lakes and rivers contributed 2.3% only (based on 1986 Fisheries Statistical Bulletin, Kenya).

The increase in recent years in fishery landings are evident from Table 3. Until 1975, total catch remained below 30 000 t/yr but by 1981 the catch had doubled. It has increased even more dramatically in recent years. The upward trend represents a 28% per year increase in output but this has been primarily in the freshwater catch. Marine landings have remained static: between 4 000 and 7 000 t/yr.

The fisheries status has been reviewed on numerous occasions, notably by FAO/UNDP (1966), Fisheries Department (1977), FAO (1980a), KMFRI (1981) and more recently by Coche and Balarin (1982) and Balarin (1985a).

4.2 Factors influencing yield

The Lake Victoria fishery has been the subject of a detailed study by Coche and Balarin (1982), Zonneveld (1983) and Reynolds and Greboval (1988). Results indicate conflicting statistics.

It would appear that the recent increase in Lates niloticus stocks have defied all forms of yield evaluations, as reflected by the 1982 catch of 61 000 t. Of interest is the fact that smaller species (such as Haplochromis), liable to be consumed as prey, have almost disappeared from the landings (Coche and Balarin, 1982; see Tables 5 and 6 under “Lake Victoria” entry). It is suspected that stocks are being overfished. Concern over this has led the Fisheries Department to initiate a restocking programme; tilapias have been chosen as the most favoured candidate.

Lake Turkana, also reviewed in Coche and Balarin (1982), was the subject of a NORAD symposium (1983). Concern has been expressed over the downward trend in this fishery: down 57% in 1986 from a peak catch in 1976. Overfishing due to the limited mobility of fishermen, fishing of breeding grounds, climatic influences, and a change in fishermen structure have been implicated as reasons for drop in catches. A research programme to study the change, to restock the lake, and to initiate a deep-water fishery are to be assisted by NORAD. The originally estimated yields of 50 000–160 000 t/yr are now considered excessive; 20 000 t/yr is likely to be a more acceptable level.

The other lakes in Kenya are minor. Development of hydroelectric and irrigation schemes, especially along the Tana River, is likely to raise the fishery resources - but not to any significant level. Likely potentials are indicated in Table 1.

4.3 Future development possibilities

The estimates of maximum sustainable yields of Kenya's 10 000 km2 of inland waters and 6 500 km2 of fishable offshore waters generally lie between 81 000 and 305 000 t/yr, although estimates as low as 45 000 t/yr have also been advanced. The generally accepted estimate lies between 140 000 and 150 000 t/yr, split almost equally between freshwater and marine resources (Coche and Balarin, 1982). More recent estimates, however, suggest that marine reserves are considerably lower and the total likely yield may well be below 100 000 t/yr. If this should be the case, freshwater resources are fully exploited and there is small scope for expansion in the marine sector.

5. KEY BIBLIOGRAPHY

General: Balarin, 1985a
Lake Victoria: Reynolds & Greboval, 1988
Rift Valley Lakes: Burgis & Mavuti, 1987

6. WATER BODIES DIRECTORY

Lakes
AmboseliKabongoNakuru
BaringoKanyaboliNatron
Bogoria (= Hannington)Kwenia01 Bolossat
ChalaLogipi (Namakat)Turkana (Rudolf)
ElementeitaMagadiVictoria
JipeNaivasha 
 
Rivers and swamps
Ewaso NgiroNzoiaTurkwel
Ganale Dorya/JubaSabaki (Galana, Athi)Lorian Swamp
MigoriTana 
 
Reservoirs
ArubaKindarumaSasumua
GtaruLessosWanjii
KamburuMasinga 

LAKE AMBOSELI
(International water)

Geographical data 
Location:Kenya, Tanzania - 2°32'–43'S; 37° 1'–14'E
Altitude:1 140 m
Surface area:189 km2 (max); (Kenya: 177 km2; Tanzania: 12 km2)
Max. length:30 km
Max. width:9 km
Major inflowing river:Namanga
Special features:Lake Amboseli is a seasonal water body.

LAKE BARINGO

Geographical data
Location:Kenya - 0° 40'N; 36° 05'E
Altitude:965 m 
Surface area:130 km2 
Depth:5.6 m (mean); 7.5 (max.)
Volume:0.7 km3
Max. length:21 km
Max. width:11 km
Major inflowing rivers: Molo, Tangulbei
 
Physical and chemical data
pH:8.7–8.9
Conductivity:K20 416 μ S/cm (Talling & Talling, 1965)
Ionic composition:   
  (Beadle, 1932)(Talling & Talling, 1965) 
  mg/lmg/l 
 Na126.095 
 K  15.013 
 Ca  22.0   11.5 
 Mg    2.0      3.15 
 HCO3+CO3341.6347.7 
 SO4  40.0  19.0 
 SiO2-  23.5 
 PO4-P545 μ g/l- 
Fisheries data
   
Fish species:
main catches:
(Lincer, et al., 1981)
Oreochromis niloticus
Barbus gregori
Clarias mossambicus
Labeo cylindricus
 

Total annual catch and effort:
(Source: Statistical Bulletin, Fisheries Dept, Govt. of Kenya)

YearTotal catch (t)No.of fishermenNo.of boats
1964600--
1965*600--
1967518--
196855410010
196950312033
1975240--
1976257--
1977246--
1978315--
1979326--
1980411--
1981467--
198240110212
1983352--
1984297--
1985317  40  9
1986152  6823

* (FAO/UNDP, 1966)

Potential annual yield:
2 500–3 500 t (FAO/UNDP, 1966)
1 500 t (Govt. of Kenya, 1979b)
   900 t (Welcomme, 1979a)

LAKE BOGORIA (= HANNINGTON)

Geographic data
Location:Kenya, 0°15'N; 36°06'E
Altitude:975 m
Surface area:34 km2
Max. length:17 km
Max. width:4 km
Max. depth:8.5 m (Tuite, 1981)
Special features:High alkalinity, closed basin. Hot springs, geysers and fumaroles along lakeshore.
 
Physical and chemical data
Temperature:24° C
pH:9.8–10.3 (Tuite, 1981)
Conductivity:72 000 μ S/cm (Melack, 1976)
 35 700 – 80 000 μ S/cm (Tuite, 1981)
Ionic composition:(Beadle, 1932)
  mg/l
 Na14 360
 K     304
 Ca       26
 SO4     204
 Cl  3 450
 Alkalinity (HCO3)35 300
 
Fisheries data:There are no fish in Lake Bogoria (Burgis & Mavuti, 1987).

LAKE CHALA
(International water)

Geographical data
Location:Kenya, Tanzania - 3°19' S; 37°42'E
Surface area:5.2 km2 (Kenya: 2.6 km2; Tanzania: 2.6 km2)
Max. length:4 km
Max. width:3 km
 
Fisheries data
Total annual catch and effort:
 (Source: Statistical Bulletin, Fisheries Dept., Govt. of Kenya)
 YearTotal catch (t)No.of fishermenNo.of boats 
 198290-- 
 198310-- 
 1984  2-- 
 1985  250*10* 
 1986  150*10* 

* including Lake Jipe

LAKE ELEMENTEITA

Geographical data
Location:Kenya - 0°26'S; 36°05'E
Altitude:1 829 m
Surface area:20.7 km2
Max. length:8 km
Max. width:4 km
Max. depth:1.9 m
Special features:High alkalinity; no outflow (closed basin).
 
Physical and chemical data
pH:9.4 (Melack & Kilham, 1974)
Alkalinity:1982 mg/l (Melack & Kilham, 1974)
Conductivity:43 800 μ s/cm (Talling & Talling, 1965)
 15 000–40 200 μ s/cm (Melack, 1976)
Ionic composition:(Melack & Kilham, 1974)
  mg/l 
 Na3 795 
 K   274 
 Mg       0 
 Si       0 
 SO4    177 
 Cl     38 
  
Fisheries data:There are no fish in the lake (Burgis & Mavuti, 1987).

LAKE JIPE
(International water)

Geographical data
Location:Kenya, Tanzania - 3°35'S; 37°85'E
Altitude:700 m
Surface area:39 km2 (19.5 km2 in Tanzania; 19.5 km2 in Kenya)
Max. length:12 km
Max. width:3 km
Major inflowing river:  Lumi
 
Physical and chemical data (Kilham, 1971)
Total alkalinity:CaCO3 437 mg/l 
Conductivity:K25 618 μ S/cm
Ionic composition: mg/l 
 Na170.0 
 K  11.0 
 Ca    7.6 
 Mg  20.2 
 Cl  94.0 
 SO4    8.0 
 SiO2  46.0 

Fisheries data
Total annual catch and effort (in Kenya)

YearTotal catch (t)No.of fishermenNo.of boatsSource
1965150514-(a)
1982409--(b)
1983463--(b)
1984396--(b)
1985  9450*10*(b)
198612850*10*(b)

* including Lake Chala
(a) Source: FAO/UNDP, 1966
(b) Source: Statistical Bulletin, Fisheries Dept., Govt. of Kenya

Potential annual yield:
100 t (Welcomme, 1979a)
300 t (FAO/UNDP, 1966)

LAKE KABONGO

Geographical data
Location:Kenya - 2°7'S; 36°25'E
Altitude:1 066 m
Surface area:3.2 km2
Max. length:4.5 km
Max. width:1 km

LAKE KANYABOLI

Geographical data
Location:Kenya - 0°4'N; 34°10'E
Altitude:1 189 m
Surface area:10.5 km2
Max. length:5 km
Max. width:3 km
Inflowing river:Yala

LAKE KWENIA

Geographical data
Location:Kenya - 1°47'S; 36°30'E
Altitude:1 140 m
Surface area:7 km2
Max. length:5 km
Max. width:2 km

LAKE LOGIPI (NAMAKAT)

Geographical data
Location:Kenya - 2° 14'N; 36° 33'E
Surface area:22.8 km2
Max. length:6.5 km
Max. width:5 km

LAKE MAGADI

Geographical data
Location:Kenya - 1° 43'– 2° 00'S; 36° 13'–36° 18'E
Altitude:The lake area is divided in two by a ridge to give a large southern element (Amagad) which lies at 660 m, and a smaller element (Little Magadi) which lies at 683 m.
Surface area:108 km2
Depth:0.6 m (max) (Tuite, 1981)
Special features:(Burgis & Mavuti, 1987)
Lake Magadi only contains water after heavy rain and its alkaline sediments are commercially exploited for soda ash. It is the second largest expanse of solid trona (sodium carbonates and derivatives) in the world. It has almost no input of freshwater and is fed primarily by “boiling hot soda springs”. It has no outlet.
 
Physical and chemical data
Conductivity:K20 160 000 μ S/cm (Talling & Talling, 1965)
Surface temperature: 28–43°C
pH:<10.5 (Coe, 1966)
Ionic composition:(Talling & Talling, 1965)
  mg/l  
 Na38 000  
 K537  
 Ca<10  
 Mg<30  
 HCO3+CO37 980  
 Cl22 600  
 CO4900  
 SiO2250  
 Total P11 000μ g/l 
 
Fisheries data:The endemic cichlid Oreochromis alcalicus grahami (Coe, 1966) is confined to hot springs at the lake margins where they tolerate temperatures up to 40°C, salinities around 30 and pH of 10.5.

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