Template:Short description Template:Pp-semi-indef Template:More citations needed
This is a list of the longest rivers on Earth. It includes river systems over Template:Convert in length.
Definition of lengthEdit
There are many factors, such as the identification of the source,<ref name="amazon-river-source">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> the identification or the definition of the mouth, and the scale of measurement<ref>for more on this, see coastline paradox</ref> of the river length between source and mouth, that determine the precise meaning of "river length". As a result, the length measurements of many rivers are only approximations (see also coastline paradox). In particular, there seems to exist disagreement as to whether the Nile<ref name="britannica-nile">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> or the Amazon<ref name="britannica-amazon">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> is the world's longest river. The Nile has traditionally been considered longer, but in 2007 and 2008 some scientists claimed that the Amazon is longer<ref name="AmazonRiver">Amazon Longer Than Nile River, Scientists Say Template:Webarchive</ref><ref name="bbc-amazon">Template:Cite news</ref><ref name="inpe">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> by measuring the river plus the adjacent Pará estuary and the longest connecting tidal canal.<ref name="britannica-amazon-length">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> A peer-reviewed article published 2009 in the International Journal of Digital Earth concludes that the Nile is longer.<ref name="liu-etal-river-length">Template:Cite journal</ref>
While this does tie in with the coastline paradox in that the length increases with the resolution of the measurement, it does not tend to infinity because a river's length is not a fractal. However, the path along the river's deepest point is fractal in the same way that the coastline is.
Even when detailed maps are available, the length measurement is not always clear. A river may have multiple channels, or anabranches. The length may depend on whether the center or the edge of the river is measured. It may not be clear how to measure the length through a lake or reservoir. Seasonal and annual changes may alter both rivers and lakes. Other factors that can change the length of a river include cycles of erosion and flooding, dams, levees, and channelization. In addition, the length of meanders can change significantly over time due to natural or artificial cutoffs, when a new channel cuts across a narrow strip of land, bypassing a large river bend. For example, due to 18 cutoffs created between 1766 and 1885, the length of the Mississippi River from Cairo, Illinois, to New Orleans, Louisiana, was reduced by Template:Convert.<ref name=US/>
These points make it difficult, if not impossible, to get an accurate measurement of the length of a river. The varying accuracy and precision also makes it difficult to make length comparisons between different rivers without a degree of uncertainty. There is no strictly agreed upon standard for dealing with the nuances of measuring rivers and as such the true length of a river is not necessarily a single, discrete, correct number, nor is it static.
List of river systems longer than 1,000 kmEdit
For most rivers, different sources provide conflicting information on the length of a river system. The information in different sources is between parentheses. {{ safesubst:#invoke:Unsubst||date=__DATE__ |$B=Template:AmboxTemplate:Main other }}
Continent color key | |||||
---|---|---|---|---|---|
Africa | Asia | Australia | Europe | North America | South America |
Rank | River | Length (km) | Length (miles) | Drainage area (km2) Template:Citation needed |
Average discharge (m3/s) Template:Citation needed |
Outflow | Countries in the drainage basin Template:Citation needed | |||
---|---|---|---|---|---|---|---|---|---|---|
1. | Nile–White Nile–Kagera–Nyabarongo–Mwogo–RukararaTemplate:Refn | 6,650<ref name="britannica-nile"/> (7,088)<ref name=liu-etal-river-length/> |
4,130<ref name="britannica-nile"/> (4,404)<ref name=liu-etal-river-length/> |
citation | CitationClass=web
}}</ref> |
2,490<ref name="Water accounting in the Nile River Basin">Template:Cite report</ref> | Mediterranean | Ethiopia, Eritrea, Sudan, Uganda, Tanzania, Kenya, Rwanda, Burundi, Egypt, Democratic Republic of the Congo, South Sudan | ||
2. | Amazon–Ucayali–Tambo–Ene–Mantaro<ref name=longest group=n/> | 6,400<ref name=britannica-amazon/> (6,575)<ref name=liu-etal-river-length/> |
3,976<ref name=britannica-amazon/> (4,086)<ref name=liu-etal-river-length/> |
7,000,000<ref name=britannica-amazon/> | citation | CitationClass=web
}}</ref> |
Atlantic Ocean | Brazil, Peru, Bolivia, Colombia, Ecuador, Venezuela, Guyana | ||
3. | Yangtze–Jinsha–Tongtian–Dangqu (Chang Jiang) |
6,300 (6,418) |
3,917 (3,988) |
citation | CitationClass=web
}}</ref><ref>{{#invoke:citation/CS1|citation |
CitationClass=web
}}</ref> |
31,900<ref name="Sediment sink-source transitions in the middle and lower reaches of the Yangtze River estuary">Template:Cite journal</ref><ref name="Hydrological Cycle Volume III">Template:Cite book</ref><ref>Template:Cite journal</ref> | East China Sea | China | |
4. | Mississippi–Missouri–Ohio-Jefferson–Beaverhead–Red Rock–Hell Roaring | 6,275 |
3,902 |
3,248,000 | 21,300<ref name="Variability of Carbon Export in the Lower Mississippi River during an Extreme Cold and Warm Year">Template:Cite journal</ref><ref name="US" /> | Gulf of Mexico | United States (98.5%), Canada (1.5%) | |||
5. | Yenisey–Angara–Selenga–Ider | 5,539 | 3,445 | 2,580,000<ref name=":2">Template:Cite journal</ref> | 20,200<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref> | Kara Sea | Russia (97%), Mongolia (2.9%) | |||
6. | Yellow River (Huang He) | 5,464 | 3,395 | 752,546 | 2,571 | Bohai Sea | China | |||
7. | Ob–Irtysh | 5,410 | 3,364 | 2,990,000<ref name=":2" /> | 13,100<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref> | Gulf of Ob | Russia, Kazakhstan, China, Mongolia | |||
8. | Río de la Plata–Paraná–Rio Grande<ref name=britannica>{{#invoke:citation/CS1|citation | CitationClass=web
}}</ref> |
4,880 |
3,030 |
citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref> |
Río de la Plata | Brazil (46.7%), Argentina (27.7%), Paraguay (13.5%), Bolivia (8.3%), Uruguay (3.8%) |
9. | Congo–Lualaba-Luvua-Luapula-Chambeshi (Zaïre) |
4,700 |
2,922 |
3,680,000 | 41,400<ref name="Estimates of Freshwater Discharge from Continents: Latitudinal and Seasonal Variations">Template:Cite journal</ref> | Atlantic Ocean | Democratic Republic of the Congo, Central African Republic, Angola, Republic of the Congo, Tanzania, Cameroon, Zambia, Burundi, Rwanda | |||
10. | Amur–Argun
(Heilong Jiang) |
4,444 | 2,763 | 1,855,000 | 12,360<ref name="Intra-Seasonal Variability">Template:Cite journal</ref> | Sea of Okhotsk | Russia, China, Mongolia | |||
11. | Lena | 4,400 | 2,736 | 2,490,000<ref name=":2" /> | 18,300<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref> | Laptev Sea | Russia | |||
12. | Mekong (Lancang Jiang) | 4,350 | 2,705 | 810,000 | 16,010<ref name="Hydrological Cycle Volume III">Template:Cite book</ref> | South China Sea | China, Myanmar, Laos, Thailand, Cambodia, Vietnam | |||
13. | Mackenzie–Slave–Peace–Finlay | 4,241 | 2,637 | 1,805,200<ref name=":2" /> | 9,800<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref> | Beaufort Sea | Canada | |||
14. | Niger | 4,200 | 2,611 | 2,117,700<ref name="Water Accounting in the Niger River Basin">Template:Cite book</ref> | 8,570<ref name="Water Accounting in the Niger River Basin">Template:Cite book</ref> | Gulf of Guinea | Nigeria (26.6%), Mali (25.6%), Niger (23.6%), Algeria (7.6%), Guinea (4.5%), Cameroon (4.2%), Burkina Faso (3.9%), Côte d'Ivoire, Benin, Chad | |||
15. | Brahmaputra–Yarlung Tsangpo | 3,969 | 2,466 | 712,035 | 27,000<ref name="Beyond hydropower: towards an integrated solution for water, energy and food security in South Asia">Template:Cite journal</ref><ref name="xinhua">{{#invoke:citation/CS1|citation | CitationClass=web
}}</ref><ref name="britannican">{{#invoke:citation/CS1|citation |
CitationClass=web
}}</ref> |
Ganges | India (58.0%), China (19.7%), Nepal (9.0%), Bangladesh (6.6%), Disputed India/China (4.2%), Bhutan (2.4%) | |
16. | Murray–Darling–Culgoa–Balonne–Condamine | citation | CitationClass=web
}}</ref> |
2,282 | 1,061,000 | 767 | Southern Ocean | Australia | ||
17. | Tocantins–Araguaia | 3,650 | 2,270 | 950,000 | 17,600<ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> | Atlantic Ocean (Marajó Bay), Amazon Delta | Brazil | |||
18. | Volga | 3,645 | 2,266 | 1,380,000 | 8,380<ref name="THE VOLGA RIVER BASIN REPORT">Template:Cite book</ref> | Caspian Sea | Russia | |||
19. | Shatt al-Arab–Euphrates–Murat | 3,596 | 2,236 | 938,173<ref name="General assessment of Shatt Al-Arab River, Iraq">Template:Cite journal</ref> | 3,350<ref name="General assessment of Shatt Al-Arab River, Iraq">Template:Cite journal</ref> | Persian Gulf | Iraq, Turkey, Syria, Iran | |||
20. | Madeira–Mamoré–Grande–Caine–Rocha | 3,380 | 2,100 | 1,485,200 | 31,200<ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> | Amazon | Brazil, Bolivia, Peru | |||
21. | Purús | 3,211 | 1,995 | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref><ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> |
Amazon | Brazil, Peru | |
22. | Yukon | 3,185 | citation | CitationClass=web
}}</ref> |
854,700<ref name="DISTRIBUTION AND SEASONAL ABUNDANCE OF JUVENILE SALMON AND OTHER FISHES IN THE YUKON DELTA">Template:Cite book</ref><ref name=":2" /> | 7,000<ref name="DISTRIBUTION AND SEASONAL ABUNDANCE OF JUVENILE SALMON AND OTHER FISHES IN THE YUKON DELTA">Template:Cite book</ref> | Bering Sea | United States (59.8%), Canada (40.2%) | ||
23. | Indus–Sênggê Zangbo | 3,180 | 1,976 | citation | CitationClass=web
}}</ref> |
5,533<ref name="researchgate.net"/> | Arabian Sea | Pakistan (93%), India and China | ||
24. | São Francisco | 3,180* (2,900) |
1,976* (1,802) |
610,000 | 3,300 | Atlantic Ocean | Brazil | |||
25. | Syr Darya–Naryn | 3,078 | 1,913 | 219,000 | 703 | Aral Sea | Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan | |||
26. | Salween (Nu Jiang) | 3,060 | 1,901 | 324,000 | 6,700<ref name="Integrating Suspended Sediment Flux in Large Alluvial River Channels: Application of a Synoptic Rouse‐Based Model to the Irrawaddy and Salween Rivers">Template:Cite journal</ref><ref name="Changes in Indian Summer Monsoon Using Neodymium (Nd) Isotopes in the Andaman Sea During the Last 24,000 years">Template:Cite journal</ref><ref>Template:Cite journal</ref> | Andaman Sea | China (52.4%), Myanmar (43.9%), Thailand (3.7%) | |||
27. | Saint Lawrence–Niagara–Detroit–Saint Clair–Saint Marys–Saint Louis–North (Great Lakes) | 3,058 | 1,900<ref name=US/> | 1,030,000 | citation | CitationClass=web
}}</ref> |
Gulf of Saint Lawrence | Canada (52.1%), United States (47.9%) | ||
28. | Rio Grande | 3,057 | 1,900<ref name=US/> | 570,000 | 82 | Gulf of Mexico | United States (52.1%), Mexico (47.9%) | |||
29. | Lower Tunguska | 2,989 | 1,857 | 473,000 | 3,600 | Yenisei | Russia | |||
30. | Colorado-Green (western U.S.) | 2,945 | citation | CitationClass=web
}}</ref> |
390,000 | 1,200 | Gulf of California | United States, Mexico | ||
31. | Danube–Breg (Donau, Dunăre, Duna, Dunav, Dunaj) | 2,888* | 1,795* | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref> |
Black Sea | Romania (28.9%), Hungary (11.7%), Austria (10.3%), Serbia (10.3%), Germany (7.5%), Slovakia (5.8%), Bulgaria (5.2%), Croatia (4.5%), Ukraine (3.8%), Bosnia and Herzegovina, Moldova, Montenegro, Czech Republic, Switzerland, Slovenia<ref>{{#invoke:citation/CS1|citation | CitationClass=web
}}</ref> |
32. | Irrawaddy River–N'Mai River–Dulong River–Kelaoluo–Gada Qu | 2,809* | 1,745.8* | 404,200* | citation | CitationClass=web
}}</ref> |
Andaman Sea | China, Myanmar | ||
33. | Zambezi (Zambesi) | 2,740* | 1,703* | 1,330,000 | 4,880 | Mozambique Channel | Zambia (41.6%), Angola (18.4%), Zimbabwe (15.6%), Mozambique (11.8%), Malawi (8.0%), Tanzania (2.0%), Namibia, Botswana | |||
34. | Vilyuy | 2,720 | 1,700 | 454,000 | 1,480 | Lena | Russia | |||
35. | Padma-Ganges-Alaknanda (Ganga) | 2,704<ref name="Parua2010">Template:Cite book</ref> | 1,690 | 1,024,000 | 16,000<ref name="Beyond hydropower: towards an integrated solution for water, energy and food security in South Asia">Template:Cite journal</ref><ref>{{#invoke:citation/CS1|citation | CitationClass=web
}}</ref> |
Bay of Bengal | India, Bangladesh, Nepal | ||
36. | Amu Darya–Panj | 2,620 | 1,628 | 534,739 | 1,400 | Aral Sea | Uzbekistan, Turkmenistan, Tajikistan, Afghanistan | |||
37. | Japurá (Caquetá) | 2,615* | 1,625* | 289,000<ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> | citation | CitationClass=web
}}</ref><ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> |
Amazon | Brazil, Colombia | ||
38. | Nelson–Saskatchewan–South Saskatchewan–Bow | 2,570 | 1,597 | 1,111,890<ref name=":2" /> | 3,500<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref> | Hudson Bay | Canada, United States | |||
39. | Paraguay (Rio Paraguay) | 2,549 | 1,584 | 900,000 | 4,300 | Paraná | Brazil, Paraguay, Bolivia, Argentina | |||
40. | Kolyma | 2,513 | 1,562 | 647,000<ref name=":2" /> | 4,100<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref> | East Siberian Sea | Russia | |||
41. | Pilcomayo | 2,500 | 1,553 | 270,000 | 200 | Paraguay | Paraguay, Argentina, Bolivia | |||
42. | Upper Ob–Katun | 2,490 | 1,547 | 1,040,000 | Ob | Russia | ||||
43. | Ishim | 2,450 | 1,522 | 177,000 | 56 | Irtysh | Kazakhstan, Russia | |||
44. | Orange | 2,432 | 1,511 | 973,000 | 365 | Atlantic Ocean | South Africa, Namibia, Botswana, Lesotho | |||
45. | Ural | 2,428 | 1,509 | 237,000 | 475 | Caspian Sea | Russia, Kazakhstan | |||
46. | Juruá | 2,410 | 1,499 | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref><ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> |
Amazon | Peru, Brazil | |
47. | Arkansas | 2,348 | 1,459 | 505,000 (435,122) |
1,066 | Mississippi | United States | |||
48. | Songhua | 2,309<ref>Template:Cite book</ref> | 1,435 | 557,180 | 2,410 | Amur | China | |||
49. | Olenyok | 2,292 | 1,424 | 219,000 | 1,210 | Laptev Sea | Russia | |||
50. | Dnieper | 2,287 | 1,421 | 516,300 | 1,670 | Black Sea | Ukraine, Belarus, Russia | |||
51. | Aldan | 2,273 | 1,412 | 729,000 | 5,501 | Lena | Russia | |||
52. | Ubangi–Uele<ref>Template:Cite book</ref> | 2,270 | 1,410 | journal=International Journal of Applied Earth Observation and Geoinformation">Template:Cite journal</ref> | journal=International Journal of Applied Earth Observation and Geoinformation">Template:Cite journal</ref> | Congo | Democratic Republic of the Congo, Central African Republic, Republic of Congo | |||
53. | Negro | 2,250<ref>Template:Cite book</ref> | 1,398 | 720,114 | 34,573<ref>Template:Cite journal</ref> | Amazon | Brazil, Venezuela, Colombia | |||
53. | Columbia-Snake | 2,250 | citation | CitationClass=web
}}</ref> |
671,000 | 7,500 | Pacific Ocean | Canada (30%),United States (70%) | ||
55. | Tapajós-Teles Pires | 2,210 | 1,290 | 494,254 | 13,540<ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> | Amazon | Brazil | |||
56. | Pearl–Xi-Xun-Qian-Hongshui-Nanpan | 2,200 | 1,376 | 437,000 | 10,700<ref name="Spatiotemporal Variation of Annual Runoff and Sediment Load in the Pearl River during 1953-2017">Template:Cite journal</ref> | South China Sea | China (98.5%), Vietnam (1.5%) | |||
57. | Red (USA) | 2,188 | 1,360 | 78,592 | 875 | Mississippi | United States | |||
58. | Kasai | 2,153 | 1,338 | 880,200 | 10,000 | Congo | Angola, Democratic Republic of the Congo | |||
59. | Ohio–Allegheny | 2,102 | 1,306 | 490,603 | 7,957 | Mississippi | United States | |||
60. | Orinoco | 2,101 | 1,306 | 1,014,797<ref name="XXI. PECES DEL FONDO DEL RÍO ORINOCO Y AFLUENTES PRINCIPALES (COLOMBIA-VENEZUELA): diversidad y aspectos bioecológicos">Template:Cite book</ref> | 39,000<ref name="XXI. PECES DEL FONDO DEL RÍO ORINOCO Y AFLUENTES PRINCIPALES (COLOMBIA-VENEZUELA): diversidad y aspectos bioecológicos">Template:Cite book</ref><ref name="La geografía del agua">{{#invoke:citation/CS1|citation | CitationClass=web
}}</ref> |
Atlantic Ocean | Venezuela, Colombia, Guyana | ||
61. | Tarim | 2,100 | 1,305 | 1,020,000 | Lop Nur | China | ||||
61. | Xingu | 2,100 | 1,305 | 520,292 | 10,023 | Amazon | Brazil | |||
63. | Jubba–Shebelle | 2,064<ref name=":4">Template:Cite journal</ref> | 1,282 | 749,000 | Indian Ocean | Ethiopia, Somalia | ||||
64. | Brazos-Double Mountain Fork-North Fork-Blackwater Draw | 2,060 | 1,280<ref name="US" /> | 116,000 | 237.5 | Gulf of Mexico | United States | |||
65. | Northern Salado | 2,010 | 1,249 | 203,000 | Paraná | Argentina | ||||
66. | Içá (Putumayo) | 2,005 | 1,246 | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref><ref name="HYDROLOGIE DU BASSIN AMAZONIEN">Template:Cite book</ref> |
Amazon | Brazil, Peru, Colombia, Ecuador | |
67. | Vitim | 1,978 | 1,229 | 225,000 | 1,937 | Lena | Russia | |||
68. | Chenab | 1,974 | 675 | 160,000 | 977.3 | Indus | India, Pakistan | |||
69. | Tigris | 1,950 | 1,212 | 375,000 | 1,014 | Shatt al-Arab | Turkey, Iraq, Syria, Iran | |||
70. | Don | 1,870 | 1,162 | 425,600 | 935 | Sea of Azov | Russia, Ukraine | |||
71. | Stony Tunguska | 1,865 | 1,159 | 240,000 | 1,750 | Yenisey | Russia | |||
72. | Pechora | 1,809 | 1,124 | 312,041<ref name=":2" /> | 4,823<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref><ref name=":2" /> | Barents Sea | Russia | |||
73. | Kama | 1,805 | 1,122 | 507,000 | 4,100<ref name="THE VOLGA RIVER BASIN REPORT">Template:Cite book</ref> | Volga | Russia | |||
74. | Limpopo | 1,800 | 1,118 | 413,000 | 313.4 | Indian Ocean | Mozambique, Zimbabwe, South Africa, Botswana | |||
75. | Chulym | 1,799 | 1,118 | 134,000 | Ob | Russia | ||||
76. | Guaviare | 1,760 | 1,090 | 151,607 | citation | CitationClass=web
}}</ref> |
Orinoco | Colombia | ||
77 | Marañón | 1,737 | 1,079 | 364,873 | 16,708 | Amazon | Peru | |||
78. | Indigirka | 1,726 | 1,072 | 360,400 | 1,810 | East Siberian Sea | Russia | |||
79. | Platte | 1,690 | 1,050 | 219,900 | 199.3 | Missouri | United States | |||
80. | Senegal | 1,641 | 1,020 | 419,659 | 680 | Atlantic Ocean | Guinea, Senegal, Mali, Mauritania | |||
81. | Khatanga–Kotuy | 1,636 | 1,017 | 364,000<ref name=":2" /> | 3,200<ref name="Recent changes to Arctic river discharge">Template:Cite journal</ref> | Laptev Sea | Russia | |||
82. | Upper Jubba-Ganale Dorya | 1,634<ref name=":4" /> | 1,015 | 214,441<ref name=":4" /> | 316<ref name=":4" /> | Jubba River | Ethiopia (69%), Somalia (27%), Kenya (5%) | |||
83. | Uruguay | 1,610 | 1,000 | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref><ref>{{#invoke:citation/CS1|citation |
CitationClass=web
}}</ref> |
Atlantic Ocean | Uruguay, Argentina, Brazil |
84. | Churchill | 1,609 | 1,000 | 281,300 | 1,200 | Hudson Bay | Canada | |||
85. | Blue Nile | 1,600 | 994 | 326,400 | 1,548 | Nile | Ethiopia, Sudan | |||
85. | Okavango (Cubango) | 1,600 | 994 | 530,000 | 475 | Okavango Delta | Namibia, Angola, Botswana | |||
85. | Volta | 1,600 | 994 | 407,093 | 1,210 | Gulf of Guinea | Ghana, Burkina Faso, Togo, Côte d'Ivoire, Benin | |||
88. | Beni | 1,599 | 994 | 283,350 | 8,900 | Madeira | Bolivia | |||
89. | Shilka-Onon | 1,592 | 989 | 206,000 | 440 | Amur | Russia (86%), Mongolia (14%) | |||
90. | Tobol | 1,591 | 989 | 426,000 | 805 | Irtysh | Kazakhstan, Russia | |||
91. | Alazeya | 1,590 | 988 | 64,700 | 320 | East Siberian Sea | Russia | |||
92. | Kafue | 1,576 | 979 | 155,000 | 320 | Zambezi | Zambia (99.6%), Democratic Republic of the Congo (0.4%) | |||
93. | Yalong | 1,571 | 976 | 128,444 | 1,810 | Yangtze | China | |||
94. | Magdalena | 1,550 | 963 | 263,858 | 8,058<ref name="ESTUDIO NACIONAL DEL AGUA 2022">Template:Cite book</ref> | Caribbean Sea | Colombia | |||
95. | Han | 1,532 | 952 | 174,300 | 1,632 | Yangtze | China | |||
96. | Kura/Mt'k'vari | 1,515 | 941 | 188,400 | 575 | Caspian Sea | Turkey, Georgia, Azerbaijan | |||
97. | Oka | 1,500 | 932 | 245,000 | 1,310<ref name="THE VOLGA RIVER BASIN REPORT">Template:Cite book</ref> | Volga | Russia | |||
97. | Upper Murray | citation | CitationClass=web
}}</ref> |
932 | 260,000 | Lower Murray | Australia | |||
99. | Yana-Sartang | 1,492 | 927 | 238,000 | 1,110 | Laptev Sea | Russia | |||
100. | Pecos | 1,490 | 926 | 115,000 | 7.5 | Rio Grande | United States | |||
101. | Murrumbidgee River | 1,485 <ref name="geoaus" /> | 923 | 84,917 | 120 | Murray River | Australia | |||
102. | Upper Yenisey–Little Yenisey (Kaa-Hem) | 1,480 | 920 | 360,000 | Yenisey | Russia, Mongolia | ||||
103. | Godavari | 1,465 | 910 | 312,812 | 3,061 | Bay of Bengal | India | |||
104. | Sangha-Ngoko-Dja | 1,459 | 907 | 233,740 | Congo | Cameroon (45%), Republic of Congo (31%), Central African Republic (25%) | ||||
105. | Vaal | 1,458 | 906 | 196,438 | 125 | Orange | South Africa | |||
106. | Sutlej | 1,450 | 900 | 395,000 | 2,946.66 | Chenab | China, India, Pakistan | |||
107. | Ili (Yili) | 1,439 | 870 | 140,000 | 480 | Lake Balkhash | China, Kazakhstan | |||
108. | Olyokma | 1,436 | 892 | 210,000 | 2,110 | Lena | Russia | |||
109. | Upper Columbia<ref name=":1">{{#invoke:citation/CS1|citation | CitationClass=web
}}</ref> |
1,430 | 889<ref name=":0" /> | 292,316<ref name=":1" /> | citation | CitationClass=web
}}</ref> |
Columbia | United States, Canada | |
110. | Upper Tocantins | 1,427 | 887 | 310,000 | Tocantins | Brazil | ||||
111. | Belaya | 1,420 | 882 | 142,000 | 858 | Kama | Russia | |||
111. | Cooper–Barcoo | 1,420 | 880 | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref> |
Lake Eyre | Australia | |
113. | Dniester | 1,411 (1,352) | 877 (840) | 72,100 | 310 | Black Sea | Ukraine, Moldova | |||
114. | Taz | 1,401 | 871 | 150,000 | 1,450 | Taz Estuary | Russia | |||
115. | Benue | 1,400 | 870 | 319,000 | 3,477 | Niger | Cameroon, Nigeria | |||
115. | Chari | 1,400<ref>Template:Cite encyclopedia</ref> | 870 | 548,747 | 1,059 | Lake Chad | Chad, Cameroon, Niger, Nigeria | |||
115. | Parnaíba | 1,400 | 870 | 344,112 | Atlantic Ocean | Brazil | ||||
115. | Warburton–Georgina | 1,400 | 870 | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref> |
Lake Eyre | Australia | |
119. | Colorado (Texas) | 1,387 | 862 | 103,000 | 73.9 | Gulf of Mexico | United States | |||
120. | Yamuna | 1,376 | 855 | 366,223 | 2,950 | Ganges | India | |||
121. | Apaporis | 1,370 | 851 | 57,430.6 | 4,092<ref name="ESTUDIO NACIONAL DEL AGUA 2010 (IDEAM) - Agua Superficial - Caracterización y análísis de la oferta">Template:Cite book</ref> | Japurá | Colombia (93%), Brazil (7%), | |||
121. | Nen (Nonni) | 1,370 | 851 | 270,000 | Songhua | China | ||||
121. | Vyatka | 1,370 | 851 | 129,000 | 890 | Kama | Russia | |||
124. | Fraser | 1,368 | 850 | 220,000 | 3,475 | Pacific Ocean | citation | CitationClass=web
}}</ref> | ||
125. | Grande | 1,360 | 845 | 143,000 | Paraná | Brazil | ||||
126. | Kızıl River | 1,355 | 734 | 115,000 | 400 | Black Sea | Turkey | |||
127. | Madre de Dios | 1,347 | 837 | 125,000 | 4,915 | Beni | Peru, Bolivia | |||
128. | Liao-Xiliao-Laoha | 1,345 | 836 | 232,000 | 500 | Bohai Sea | China | |||
129. | Lachlan River | 1,339 <ref name="geoaus" /> | 832 | 84,700 | 49 | Murrumbidgee River | Australia | |||
130. | Narmada | citation | CitationClass=web
}}</ref> |
828 | 98,796 | 1,447 | Arabian Sea | India | ||
131. | Hai | 1,329 | 826 | 318,200 | 717 | Bohai Sea | China | |||
132. | Branco-Uraricoera | 1,326 | 824 | 192,393 | 6,469 | Rio Negro | Brazil (96%), Guyana (7%), Venezuela (1%) | |||
133. | Iguaçu | 1,320 | 820 | 67,537 | 1,746 | Paraná | Brazil, Argentina | |||
134. | Taseyeva-Chuna | 1,319 | 820 | 128,000 | 740 | Angara | Russia | |||
135. | Javari | 1,309 | 814 | citation | CitationClass=web
}}</ref> |
citation | CitationClass=web
}}</ref> |
Amazon | Brazil (78%), Peru (22%) | |
136. | Northern Dvina–Sukhona | 1,302 | 809 | 350,496<ref name=":2" /> | 3,416<ref name=":2" /> | White Sea | Russia | |||
137. | Inírida | 1,300 | 808 | 53,816.9 | 3,385<ref name="ESTUDIO NACIONAL DEL AGUA 2010 (IDEAM) - Agua Superficial - Caracterización y análísis de la oferta">Template:Cite book</ref> | Guaviare | Colombia | |||
137. | Iriri | 1,300 | 808 | 141,943 | 3,028 | Xingu | Brazil | |||
137. | Neva-Vuoksi | 1,300 | 808 | 282,300 | 2,628 | Gulf of Finland | Russia, Finland, Belarus | |||
140. | Ruki | 1,296 | 805 | 173,800 | 4,450 | Congo | Democratic Republic of the Congo | |||
141. | Krishna | 1,290 | 800 | 258,948 | 2,213 | Bay of Bengal | India | |||
142. | Lomami<ref name="bossche">Template:Cite book</ref> | 1,280 | 795 | 110,000 | Congo | Democratic Republic of the Congo | ||||
143. | Ottawa | 1,271 | 790 | 146,300 | 1,950 | Saint Lawrence | Canada | |||
144. | Rio Grande de Santiago-Lerma | 1,270 | 789 | 119,543 | 320 | Pacific Ocean | Mexico | |||
145. | Guaporé (Itenez) | 1,260 | 780 | 341,000 | 2,430 | Mamoré | Brazil, Bolivia | |||
146. | Red (Canada)-Assiniboine-Souris | 1,260 | 780 | 287,500 | 244 | Lake Winnipeg | Canada (56%), US (44%) | |||
147. | Elbe–Vltava | 1,252 | 778 | 148,268 | 711 | North Sea | Germany, Czech Republic | |||
148. | Zeya | 1,242 | 772 | 233,000 | 1,810 | Amur | Russia | |||
149. | Juruena | 1,240 | 771 | 192,628 | 4,936.7 | Tapajós | Brazil | |||
150. | Upper Mississippi | 1,236 | 768 | 450,000 | 4,800 | Mississippi | United States | |||
151. | Rhine | 1,233 | 768 | 185,000 <ref>If the Meuse is considered a tributary, the Rhine basin is 218,300 km2.</ref> | 2,330 | North Sea | Germany (57.3%), Switzerland (15.1%), Netherlands (12.3%), France (12.2%), Luxembourg (1.4%), Austria (1.3%), Belgium (0.4%), Liechtenstein (0.1%), Italy (0.03%) | |||
152. | Athabasca | 1,231 | 765 | 95,300 | 783 | Mackenzie | Canada | |||
153. | Markha | 1,231 | 765 | 99,000 | 405 | Vilyuy | Russia | |||
154. | Canadian | 1,223 | 760 | 123,220 | 182.2 | Arkansas | United States | |||
155. | North Saskatchewan | 1,220 | 758 | 122,800 | 238 | Saskatchewan | Canada | |||
156. | Kansas-Republican | 1,218 | 757 | 155,690 | 205 | Missouri | US | |||
157. | Vistula–Narew-Bug | 1,213 | 754 | 194,424 | 1,080 | Baltic Sea | Poland, Belarus, Ukraine | |||
158. | Awash | 1,200<ref>"Climate, 2008 National Statistics (Abstract)" Template:Webarchive, Table A.1. Central Statistical Agency website (accessed 26 December 2009)</ref> | 746 | 69,197<ref name=":4" /> | 152<ref name=":4" /> | Lake Abbe | Ethiopia, Djibouti | |||
158. | Shire | 1,200 | 746 | 160,000 | 486 | Zambezi | Mozambique, Malawi | |||
158. | Ogooué (or Ogowe) | 1,200 | 746 | 223,856 | 5,890<ref name="Estimates of Freshwater Discharge from Continents: Latitudinal and Seasonal Variations">Template:Cite journal</ref> | Atlantic Ocean | Gabon, Republic of the Congo | |||
161. | Fimi-Lukenie | 1,194 | 742 | 133,432 | Kasai | Democratic Republic of the Congo | ||||
162. | Mobile | 1,192 | 741 | 115,000 | 1,900 | Gulf of Mexico | US | |||
163. | Lukuga | 1,184 | 736 | 244,500 | Lualaba | Tanzania (62%), Democratic Republic of the Congo (26%), Zambia (6%), Burundi (5%), Rwanda (2%) | ||||
164. | Min-Dadu | 1,182 | 734 | 133,000 | 2,850 | Yangtze | China | |||
165. | Markha | 1,181 | 734 | 99,000 | 405 | Vilyuy | Russia | |||
166. | Aripuanã | 1,175 | 730 | 147,224 | 4,064 | Madeira | Brazil | |||
167. | Milk | 1,173 | 729 | 62,000 | 17.5 | United States, Canada | ||||
168. | Mun - Chi | 1,162 | 722 | 119,180 | 725 | Mekong River | Thailand | |||
168. | White | Template:Convert | citation | CitationClass=web
}}</ref> |
71,910 | 834.8 | Mississippi | United States | ||
170. | Chindwin | 1,158 | 720 | 114,685 | 4,740 | Ayeyarwady | Myanmar | |||
171. | Sankuru | 1,150 | 715 | 150,000 | Kasai | Democratic Republic of the Congo | ||||
171. | Wu | 1,150 | 715 | 80,300 | 1,108 | Yangtze | China | |||
173. | Red (Asia) | 1,149 | 714 | 143,700 | citation | CitationClass=web
}}</ref> |
Gulf of Tonkin | China, Vietnam | ||
174. | James (Dakotas) | 1,143 | 710 | 54,240 | 18.3 | Missouri | United States | |||
175. | Kapuas | 1,143 | 710 | 98,749 | 6,012<ref name="Riverine carbon fluxes to the South China Sea: Riverine carbon fluxes to the SCS">Template:Cite journal</ref> | South China Sea | Indonesia | |||
176. | Paraíba do Sul | 1,137 | 696 | 56,000 | Atlantic Ocean | Brazil | ||||
177. | Yobe-Hadejia | 1,135 | 705 | 183,009 | Lake Chad | Nigeria (68%), Niger (32%) | ||||
178. | Desna | 1,130 | 702 | 88,900 | 360 | Dnieper | Russia, Belarus, Ukraine | |||
178. | Helmand | 1,130 | 702 | 150,000 | Hamun-i-Helmand | Afghanistan, Iran | ||||
178. | Tietê | 1,130 | 702 | 72,168 | 937 | Paraná | Brazil | |||
178. | Vychegda | 1,130 | 702 | 121,000 | 1160 | Northern Dvina | Russia | |||
182. | Sepik | 1,126 | 700 | 77,700<ref name="Geomorphology of Papua New Guinea">Template:Cite book</ref> | 5,000<ref name="Geomorphology of Papua New Guinea">Template:Cite book</ref> | Pacific Ocean | Papua New Guinea, Indonesia | |||
182. | Sobat-Pibor | 1,126 | 700 | 225,000 | 412 | White Nile | South Sudan (60%), Ethiopia (29%), Kenya (10%), Uganda (2%) | |||
184. | Orkhon | 1,124 | 698 | 132,835 | 66 | Selenga | Mongolia | |||
185. | Cimarron | 1,123 | 698 | 49,100 | 32.9 | Arkansas | United States | |||
186. | Anadyr | 1,120 | 696 | 191,000 | 2,020 | Gulf of Anadyr | Russia | |||
187. | Jialing River | 1,119 | 695 | 160,000 | Yangtze | China | ||||
188. | Liard | 1,115 | 693 | 277,100 | 2,434 | Mackenzie | Canada | |||
189. | Omolon | 1,114 | 692 | 113,000 | Kolyma | Russia | ||||
190. | Mamberamo River | 1,112 | 691 | 78,992 | 5,923 | Pacific Ocean | Indonesia | |||
191. | Cumberland | 1,105 | 687 | 46,830 | 862 | Mississippi | United States | |||
192. | Omo | 1,104<ref name=":4" /> | 686 | 86,657 | 915.5 | Lake Turkana | Ethiopia | |||
193. | Bani | 1,100 | 684 | 146,570 | Niger | Mali (80%), Ivory Coast (15%), Burkina Faso (5%), Guinea (0.1%) | ||||
193. | Huallaga | 1,100 | 684 | 90,000 | 3,800 | Marañón | Peru | |||
193. | Kwango | 1,100 | 684 | 263,500 | 2,700 | Kasai | Angola, Democratic Republic of the Congo | |||
193. | Draa | 1,100 | 684 | 95,000 | Atlantic Ocean | Morocco | ||||
197. | Gambia | 1,094 | 680 | 78,000 | Atlantic Ocean | The Gambia, Senegal, Guinea | ||||
198. | Tyung | 1,092 | 679 | 49,800 | Vilyuy | Russia | ||||
199. | Barito River | 1,090 | 680 | 81,675 | 5,497 | Java Sea | Indonesia | |||
200. | Maya | 1,087 | 675 | 171,000 | 1,180 | Aldan | Russia | |||
201. | Yellowstone | 1,080 | 671 | 114,260 | 390 | Missouri | United States | |||
201. | Ghaghara | 1,080 | 671 | 127,950 | 2,990 | Ganges | India, Nepal, China | |||
203. | Huai River | 1,078 | 670 | 270,000 | 1,110 | Yangtze | China | |||
204. | Aras | 1,072 | 665 | 102,000 | 285 | Kura | Turkey, Armenia, Azerbaijan, Iran | |||
205. | Chu | 1,067 | 663 | 62,500 | none | Kyrgyzstan, Kazakhstan | ||||
205. | Sanaga-Djérem | 1,067 | 663 | 140,000 | 2,072 | Bight of Biafra | Cameroon, Nigeria, Central African Republic | |||
207. | Seversky Donets | 1,053 (1,078) | 654 (670) | 98,900 | 159 | Don | Russia, Ukraine | |||
208. | Bermejo | 1,050 | 652 | 125,000 | Paraguay | Argentina, Bolivia | ||||
208. | Cunene | 1,050 | 652 | 108,943 | Atlantic Ocean | Angola (85%), Namibia (15%) | ||||
208. | Fly | 1,050 | 652 | 75,800 | 6,500 | Gulf of Papua | Papua New Guinea, Indonesia | |||
208. | Kuskokwim | 1,050 | 652 | 120,000 | 1,900 | Bering Sea | United States | |||
212. | Tennessee | 1,049 | 652 | 105,870 | 1,998 | Ohio | United States | |||
213. | Oder–Warta | 1,045 | 649 | 118,861 | 550 | Baltic Sea | Poland, Germany, Czech Republic | |||
214. | Apure | 1,038 | 645 | 167,000 | 2,300 | Orinoco | Venezuela (99.8%), Colombia (0.2%) | |||
215. | Logone | 1,033 | 642 | 78,000 | 492 | Chari | Chad (53%), Cameroon (34%), Central African Republic (14%) | |||
216. | Aruwimi<ref name="bossche" /> | 1,030 | 640 | 116,100 | 2,200 | Congo | Democratic Republic of the Congo | |||
217. | Chambal | 1,024 | 636 | 143,219 | 456 | Yamuna | India | |||
207. | Pur | 1,024 | 636 | 112,000 | Taz Estuary | Russia | ||||
219. | Daugava | 1,020 | 634 | 87,900 | 678 | Gulf of Riga | Latvia, Belarus, Russia | |||
220. | Gila | 1,015 | 631 | 151,000 | 7 | Colorado (western U.S.) | United States | |||
221. | Essequibo | 1,014 | 630 | citation | CitationClass=web
}}</ref> |
5,136<ref name=":3" /> | Atlantic Ocean | Guyana, Venezuela | ||
222. | Loire | 1,012 | 629 | 115,271 | 840 | Atlantic Ocean | France | |||
223. | Khopyor | 1,010 | 628 | 61,100 | 150 | Don | Russia | |||
224. | Tagus (Tajo/Tejo) | 1,006 | 625 | 80,100 | 444 | Atlantic Ocean | Spain, Portugal | |||
225. | Flinders River | 1,004 <ref name="geoaus" /> | 624 | 109,000 | citation | CitationClass=web
}}</ref> |
Gulf of Carpentaria | Australia | ||
226. | Koksoak | 1,000 | 621 | 136,262<ref name=":2" /> | 2,800 | Ungava Bay | Canada | |||
226. | Usumacinta | 1,000 | 621 | 134,400 | Gulf of Mexico | Mexico, Guatemala |
NotesEdit
- When the length of a river is followed by an asterisk, it is an average of multiple information sources. If the difference in lengths between given information sources is significant, all lengths are listed. But if the lengths from secondary information sources are similar, they are averaged and that figure has an asterisk.
- Scientists debate whether the Amazon or the Nile is the longest river in the world. Traditionally, the Nile is considered longer, but recent information suggests that the Amazon may be longer. Differences in the recorded length of the Amazon mainly depend on whether the course south of the Ilha de Marajó at the Amazon's mouth is to be treated as part of the Amazon, or as part of the separate Tocantins River. New evidence, (dated 16 June 2007) obtained from a high-altitude scientific venture in the Andes, claims that "the Amazon is longer than the Nile by 100 km, with its longest headwater being the Carhuasanta stream originating in the south of Peru on the Nevado Mismi mountain's northern slopes and flowing into the Río Apurímac".<ref>Daily Telegraph, Monday 18 June 2007, page 18</ref> However, the origin of the river at Nevado Mismi had already been known more than one decade earlier (see Jacek Palkiewicz), and satellite based measuring from this origin to the Amazon mouth has resulted in not more than 6,400 km.
- Generally, the most commonly used/anglicised name of the river is used. The name in a native language or alternate spelling may be shown.
River systems that may have existed in the pastEdit
Amazon–CongoEdit
The Amazon basin formerly drained westwards into the Pacific Ocean, until the Andes rose and reversed the drainage.<ref name="aaa">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>
The Congo basin is completely surrounded by high land, except for its long narrow exit valley past Kinshasa, including waterfalls around Manyanga. That gives the impression that most of the Congo basin was formerly on a much higher land level and that the Congo River was rejuvenated by much of its lower course being removed, likeliest when Africa split from South America when Gondwanaland broke up due to continental drift, and before that, the Congo would likely have flowed into the Amazon,<ref name="aaa"/> producing a river around 6000 miles or 10,000 km long.
West Siberian Glacial Lake drainageEdit
{{#invoke:Labelled list hatnote|labelledList|Main article|Main articles|Main page|Main pages}} This river would have been about Template:Convert long, in the last ice age. Its longest headwater was the Selenga river of Mongolia: it drained through ice-dammed lakes and the Aral Sea and the Caspian Sea to the Black Sea.
LobourgEdit
During the last glacial maximum, much of what is now the southern part of the North Sea was land, known to archaeologists as Doggerland. At this time, the Thames, the Meuse, the Scheldt, and the Rhine probably joined before flowing into the sea, in a system known by palaeogeographers as the Loubourg or Lobourg River System.<ref>Vaikmäe, R., Edmunds, W. M., and Manzano, M., (2001) "Weichselian palaeoclimate and palaeoenvironment in Europe: Background for palaeogroundwater formation Template:Webarchive", in "Palaeowaters in Coastal Europe: Evolution of Groundwater Since the Late Pleistocene" (W. M. Edmunds and C. J. Milne (eds)). London:The Geological Society. p. 177</ref> There is some debate as to whether this river would have flowed southwest into what is now the English Channel, or flowed north, emerging into the North Sea close to modern Yorkshire. If the latter hypothesis is true, the Rhine would have attained a length of close to Template:Convert. The former hypothesis would have produced a shorter river, some Template:Convert in length. Current scientific research favours the former opinion, with the Thames and Rhine meeting in a large lake, the outflow of which was close to the present-day Straits of Dover.<ref>Bridgland, D. R., and D'Olier, B. (1995) "The Pleistocene evolution of the Thames and Rhine drainage systems in the southern North Sea Basin (abstract) Template:Webarchive", Geological Society, London, Special Publications, v. 96, p. 27–45, in Lyell Collection. Retrieved 12 November 2015.</ref>
See alsoEdit
- Lists of rivers
- List of drainage basins by area
- List of rivers by discharge
- List of river films and television series
- List of rivers of Antarctica
Notes and referencesEdit
- Notes
- References