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[[Image:Povoden 2002 hlasna treban.jpg|thumb|250px|[[2002 European floods|2002 flood]] in [[Czech |
[[Image:Povoden 2002 hlasna treban.jpg|thumb|250px|[[2002 European floods|2002 flood]] in [[Czech Repub |
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Revision as of 21:32, 4 December 2008
Headline text
A flood is an overflow of an expanse of water that submerges land, a deluge.[1] In the sense of "flowing water", the word may also be applied to the inflow of the tide. Flooding may result from the volume of water within a body of water, such as a river or lake, exceeding the total capacity of its bounds, with the result that some of the water flows or sits outside of the normal perimeter of the body. It can also occur in rivers, when the strength of the river is so high it flows out of the river channel, particularly at bends or meanders.
The word comes from the Old English flod, a word common to Teutonic languages (compare German Flut, Dutch vloed from the same root as is seen in flow, float).
The term "The Flood," capitalized, usually refers to the great Universal Deluge described in the Bible, in Genesis, and is treated at Deluge.
Principal types of flood
Riverine floods
- Slow kinds: Runoff from sustained rainfall or rapid snow melt exceeding the capacity of a river's channel. Causes include heavy rains from monsoons, hurricanes and tropical depressions, foreign winds and warm rain affecting snow pack.
- Fast kinds: flash flood as a result of e.g. an intense thunderstorm.
Estuarine floods
- Commonly caused by a combination of sea tidal surges caused by storm-force winds.
Coastal floods
- Caused by severe sea storms, or as a result of another hazard (e.g. tsunami or hurricane).
Catastrophic floods
- Caused by a significant and unexpected event e.g. dam breakage, or as a result of another hazard (e.g. earthquake or volcanic eruption).
Muddy floods
- A muddy flood is generated by runoff on cropland.
Other
- Floods can occur if water accumulates across an impermeable surface (e.g. from rainfall) and cannot rapidly dissipate (i.e. gentle orientation or low evaporation).
- A series of storms moving over the same area.
- Dam-building beavers can flood low-lying urban and rural areas, often causing significant damage.
Typical effects
Primary effects
- Physical damage- Can range anywhere from bridges, cars, buildings, sewer systems, roadways, canals and any other type of structure.
- Casualties- People and livestock die due to drowning. It can also lead to epidemics and diseases.
Secondary effects
- Water supplies- Contamination of water. Clean drinking water becomes scarce.
- Diseases- Unhygienic conditions. Spread of water-borne diseases
- Crops and food supplies- Shortage of food crops can be caused due to loss of entire harvest.[2]
- Trees - Non-tolerant species can die from suffocation[3]
Tertiary/long-term effects
- Economic- Economic hardship, due to: temporary decline in tourism, rebuilding costs, food shortage leading to price increase etc.
Flood defences, planning, and management
In western countries, rivers prone to floods are often carefully managed. Defences such as levees, bunds, reservoirs, and weirs are used to prevent rivers from bursting their banks. Coastal flooding has been addressed in Europe with coastal defences, such as sea walls and beach nourishment.
London is protected from flooding by a huge mechanical barrier across the River Thames, which is raised when the water level reaches a certain point (see Thames Barrier).
Venice has a similar arrangement, although it is already unable to cope with very high tides. The defenses of both London and Venice will be rendered inadequate if sea levels continue to rise.
The largest and most elaborate flood defenses can be found in the Netherlands, where they are referred to as Delta Works with the Oosterschelde dam as its crowning achievement. These works were built in response to the North Sea flood of 1953 of the southwestern part of the Netherlands. The Dutch had already built one of the world's largest dams in the north of the country: the Afsluitdijk (closing occurred in 1932).
Currently the Saint Petersburg Flood Prevention Facility Complex is to be finished by 2008, in Russia, to protect Saint Petersburg from storm surges. It also has a main traffic function, as it completes a ring road around Saint Petersburg. Eleven dams extend for 25.4 kilometres and stand eight metres above water level.
The New Orleans Metropolitan Area, 35% of which sits below sea level, is protected by hundreds of miles of levees and flood gates. This system failed catastrophically during Hurricane Katrina in the City Proper and in eastern sections of the Metro Area, resulting in the inundation of approximately 50% of the Metropolitan area, ranging from a few inches to twenty feet in coastal communities.
In an act of successful flood prevention, the Federal Government of the United States offered to buy out flood-prone properties in the United States in order to prevent repeated disasters after the 1993 flood across the Midwest. Several communities accepted and the government, in partnership with the state, bought 25,000 properties which they converted into wetlands. These wetlands act as a sponge in storms and in 1995, when the floods returned, the government didn't have to expend resources in those areas.[4]
In China, flood diversion areas are rural areas that are deliberately flooded in emergencies in order to protect cities [1].
(See Crossing the Lines)
Many have proposed that loss of vegetation (deforestation) will lead to a risk increase. With natural forest cover the flood duration should decrease. Reducing the rate of deforestation should improve the incidents and severity of floods.[5]
Flood clean-up safety
Clean-up activities following floods often pose hazards to workers and volunteers involved in the effort. Potential dangers include electrical hazards, carbon monoxide exposure, musculoskeletal hazards, heat or cold stress, motor vehicle-related dangers, fire, drowning, and exposure to hazardous materials.[6] Because flooded disaster sites are unstable, clean-up workers might encounter sharp jagged debris, biological hazards in the flood water, exposed electrical lines, blood or other body fluids, and animal and human remains. In planning for and reacting to flood disasters, managers provide workers with hard hats, goggles, heavy work gloves, life jackets, and watertight boots with steel toes and insoles.[7]
Benefits of flooding
There are many disruptive effects of flooding on human settlements and economic activities. However, flooding can bring benefits, such as making soil more fertile and providing nutrients in which it is deficient. Periodic flooding was essential to the well-being of ancient communities along the Tigris-Euphrates Rivers, the Nile River, the Indus River, the Ganges and the Yellow River, among others. The viability for hydrological based renewable sources of energy is higher in flood prone regions.
Flood modelling
While flood modelling is a fairly recent practice, attempts to understand and manage the mechanisms at work in floodplains have been made for at least six millennia.[8] The recent development in computational flood modelling has enabled engineers to step away from the tried and tested "hold or break" approach and its tendency to promote overly engineered structures. Various computational flood models have been developed in recent years either 1D models (flood levels measured in the channel) and 2D models (flood depth measured for the extent of the floodplain). HEC-RAS[9], the Hydraulic Engineering Centre model, is currently among the most popular if only because it is available for free. Other models such as TUFLOW[10] and Flowroute[11], combine 1D and 2D components to derive flood depth in the floodplain. So far the focus has been on mapping tidal and fluvial flood events but the 2007 flood events in the UK have shifted the emphasis onto the impact of surface water flooding.[12]
Deadliest floods
Death Toll | Event | Location | Date |
---|---|---|---|
2,500,000–3,700,000[13] | 1931 China floods | China | 1931 |
900,000–2,000,000 | 1887 Yellow River (Huang He) flood | China | 1887 |
500,000–700,000 | 1938 Yellow River (Huang He) flood | China | 1938 |
231,000 | Banqiao Dam failure, result of Typhoon Nina. Approximately 86,000 people died from flooding and another 145,000 died during subsequent disease. | China | 1975 |
145,000 | 1935 Yangtze river flood | China | 1935 |
more than 100,000 | St. Felix's Flood, storm surge | Netherlands | 1530 |
100,000 | Hanoi and Red River Delta flood | North Vietnam | 1971 |
100,000 | 1911 Yangtze river flood | China | 1911 |
50,000–80,000 | St. Lucia's flood, storm surge | Netherlands | 1287 |
60,000 | North Sea flood, storm surge | Netherlands | 1212 |
40,000 | 1949 Eastern Guatemala flood | Guatemala | 1949 |
36,000 | St. Marcellus flood, storm surge | Netherlands | 1219 |
30,000 | 1954 Yangtze river flood | China | 1954 |
28,700 | 1974 Bangladesh monsoon rain | Bangladesh | 1974 |
25,000–40,000 | St. Marcellus flood / Grote Mandrenke, storm tide | Netherlands, Germany, Denmark | 1362 |
20,006 | 1999 Vargas mudslide | Venezuela | 1999 |
20,000 | All Saints' Flood, storm surge | Netherlands | 1570 |
20,000 | 1939 Tianjin flood | China | 1939 |
14,000 | Christmas flood, storm surge | Netherlands, Germany, Denmark | 1717 |
10,000–100,000 | St. Elisabeth flood, storm surge | Netherlands, Belgium | 1421 |
8,000–15,000 | Burchardi flood | Germany, Denmark | 1634 |
10,000 | Great Iran Flood | Iran | 1954 |
10,000 | 1824 St. Petersburg flood | Russia | 1824 |
several thousands | St. Juliana flood, storm surge | Netherlands | 1164 |
several thousands | St. Agatha flood, storm surge | Netherlands | 1288 |
several thousands | St. Clemens flood, storm surge | Netherlands | 1334 |
several thousands | All Saints flood, storm surge | Netherlands | 1532 |
several thousands | North Sea flood, storm surge | Netherlands | 1703 |
6,200 | Sichuan, Hubei, Anhui flood | China | 1980 |
5,000 | Cojup valley, Cordillera Blanca mountain range, landslide by massive avalanche | Peru | 1941 |
4,892 | 1968 Rajasthan, Gujarat monsoon rain | India | 1968 |
4,800 | 1951 Manchuria flood | China | 1951 |
3,838 | 1998 Eastern India, Bangladesh monsoon rain | India, Bangladesh | 1998 |
3,814 | 1989 Sichuan flood | China | 1989 |
3,800 | 1978 Northern India monsoon rain | India | 1978 |
3,656 | 1998 Yangtze river flood | China | 1998 |
3,500 | 1948 Fuzhou flood | China | 1948 |
3,084 | 1993 South Asian monsoon rain | Nepal, India, Bangladesh, Pakistan | 1993 |
3,076 | 2004 Eastern India, Bangladesh monsoon rain | India, Bangladesh | 2004 |
3,000 | 1992 Afghanistan flood, mainly, Gulbahar, Kalotak, Shutul, Parwan, flash flood, mudslide | Afghanistan | 1992 |
2,910 | 1950 Pakistan flood | Pakistan | 1950 |
2,775 | 1996 China flood, torrential floods, mud-rock flows | China | 1996 |
2,566 | 1953 Japan flood, mainly Kitakyushu, Kumamoto, Wakayama, Kizugawa, massive rain, flood, mudslide | Japan | 1953 |
2,400 | North Sea flood, storm surge | Netherlands | 838 |
2,379 | 1988 Bangladesh monsoon rain | Bangladesh | 1988 |
2,200 | Johnstown Flood | United States (Pennsylvania) | 1889 |
2,142 | North Sea flood of 1953 storm surge | Netherlands, United Kingdom | 1953 |
2,075 | 1981 Sichuan, Shanxi Flood | China | 1981 |
2,055 | 1987 Bangladesh monsoon rain | Bangladesh | 1987 |
2,000–5,000 some reports list as many as 12,000 dead | Morvi dam burst | India (Morvi, Gujarat) | 1979 |
2,000–4,000 | Huascaran, Ranrahirca landslide by massive avalanche | Peru | 1962 |
1,909 | Vajont Dam landslide and flood | Italy | 1963 |
1,834 | 1992 Pakistan, Northern India monsoon rain | Pakistan, India | 1992 |
1,723 | 1991 China flood, mainly, Sichuan, Guizhou, Hubei, torrential floods, mud-rock flows | China | 1991 |
1,624 | Fujian, Anhui, Zhejiang flood | China | 2005 |
1,605–3,363 | spring flooding | Haiti, Dominican Republic | 2004 |
1,558 | St. Martin flood, storm surge | Netherlands | 1686 |
1,532 | 2002 China flood, torrential floods, mud-rock flows | China | 2002 |
1,503 | Mumbai and the surrounding state Maharashtra, Kamataka, monsson rain | India | 2005 |
1,437 | 1995 China flood, mainly, Hunan, Jiangxi, Liaoning, Sichuan, Fujian, torrential rain, devastating floods, mud-rock flows | China | 1995 |
1,348 | 2007 China flood, mountain torrents, mud-rock flows | China | 2007 |
1,144 | 2006 Southern Leyte mudslide | Philippines | 2006 |
1,029 | 2004 China flood, mountain torrents, mud-rock flows, landslide | China | 2004 |
1,000–1,500 | Santa Catarina, [2]Tubarão], torrential heavy rain | Brazil | 1974 |
992 | Isahaya, massive rain and mudslide | Japan | 1957 |
941 | Inuyama Iruka pond failure | Japan | 1868 |
933 | 1938 Massive rain of Japan, mainly Tokyo, Kobe, massive rain and landslide | Japan | 1938 |
915 | Barcelona, flash flood | Spain | 1962 |
848 | 1977 Karachi flood | Pakistan | 1977 |
844 | 2006 North Korea flooding | North Korea | 2006 |
827 | Algiers, Bab El Oued, devastating flood, mudslide | Algeria | 2001 |
800 | North Sea flood, storm surge | Netherlands | 1825 |
800 | 2000 Mozambique flood | Mozambique | 2000 |
785 | 1967 Brazil flood, mainly Rio de Janeiro, Sao Paulo, flood and landslide | Brazil | 1967 |
705 | 2006 Ethiopia flood, mainly Omo River Delta, Dire Dawa, Tena, Gode, flash flood, heavyrain | Ethiopia | 2006 |
702 | 1999 Vietnam flood, mainly occurred at Thua Thien Hue | Vietnam | 1999 |
672 | 1972 Seoul, Kyonggi flood | South Korea | 1972 |
653 | 1972 Luzon flood | Philippines | 1972 |
640 | 1987 Villatina landslide disaster | Colombia | 1987 |
610 | 2007 North Korea flooding | North Korea | 2007 |
540 | 1969 Tunisia flooding | Tunisia | 1969 |
532 | Cuzco, Huallaga, torrential rain, flooding, landslide | Peru | 1982 |
517 | 1967 Massive rain of Japan, mainly, Kobe, Kure, Agano River, massive rain and landslide | Japan | 1967 |
506 | KwaZulu-Natal | South Africa | 1987 |
500 | Malawi, flash flood and landslide | Malawi | 1991 |
500 | Gauldal, landslide | Norway | 1345 |
464 | Lisbon flash flood | Portugal | 1967 |
445 | Western Japan, massive rain and landslide | Japan | 1972 |
429 | 2002 Nepal flood, mainly occurred at Makwanpur, monssnal rain, flood, landslide | Nepal | 2002 |
425 | 1999 Mexico flood, mainly occurred at Tabasco, Puebla, Chiapas, flood and mudslide | Mexico | 1999 |
421 | Malpasset Dam failure | France | 1959 |
420 | St. Aarons Flood | Amsterdam | 1420 |
408 | 1969 South Korea flood, mainly, Gyeongsangbukdo, Gyeongsangnamdo, Gangwon, torrential rain, landslide | South Korea | 1969 |
407 | 1993 Iran flood, mainly occurred at Isfahan, Bandar Abass, flash flood and landslide | Iran | 1993 |
405 | 1998 South Korea flood, heavy massive rain, landslide | South Korea | 1998 |
400 | 1955 Lebanon Tripoli flood | Lebanon | 1955 |
400 | St. Francis Dam failure | United States (California) | 1928 |
386 | Thailand, Malaysia, mainly, Nakhon, Songkhla, Kelantan, torrential rain | Thailand, Malaysia, | 1988 |
385 | Ohio River flood of 1937 | United States (Pennsylvania, Ohio, West Virginia, Kentucky, Indiana, Illinois) | 1937 |
373 | 1966 Rio de Janeiro flood, flood and landslide | Brazil | 1966 |
364 | Piura, Tumbes, torrential rain, flooding, landslide | Peru | 1983 |
>360 | Great Dayton Flood | United States | 1913 |
353 | 2007 African Nations flood | mainly Sudan, Nigeria, Burkina Faso, Ghana, Kenya, and many African country | 2007 |
347 | 1996 Yemen flood | Yemen | 1996 |
345 | 1987 South Korea flood, mainly, Chungchongnamdo, Chollanamdo, Kangwon, torrential rain, landslide | South Korea | 1987 |
342 | 2006 East African Flood | Kenya, Ethiopia, Somalia | 2006 |
315 | North Sea flood of 1962 storm tide | Germany | 1962 |
313 | 2003 Sumatra flood, mainly Jambi, Batanghari, Tondano, torrential rain, flash flood, landslide | Indonesia | 2003 |
300 | Quebrada Blanca canyon, landslide | Colombia | 1974 |
300 | Pampayacta avalanche | Peru | 1963 |
299 | Nagasaki, massive rain and landslide | Japan | 1982 |
290 | Rio de Janeiro and Fluminense flood | Brazil | 1988 |
272 | 1973 Granada, Almeria, Murcia flood | Spain | 1973 |
270 | Great Sheffield flood dam disaster | United Kingdom | 1864 |
268 | Val di Stava dam disaster | Italy | 1985 |
261 | Gormec, avalanche | Turkey | 1992 |
259 | 1966 Maian flood | Jordan | 1966 |
255 | 1998 Tajikistan flood | Tajikistan | 1998 |
250 | Josefina dam failure | Ecuador | 1993 |
238 | Rapid City, South Dakota flood | United States | 1972 |
230 | Marrakesh flash flood | Morocco | 1995 |
200–600 | Chungar landslide, flood, avalanche | Peru | 1971 |
200 | Pamir Mountain area, mud and rock slides, torrential rain | Tajikistan | 1992 |
190 | Huigra, landslide | Ecuador | 1931 |
165 | 2004 Brazil flood, mainly Sao Paulo, Pemambuco, torrential rain, mudslide | Brazil | 2004 |
159 | Sarno flood and landslide | Italy | 1998 |
154 | KwaZulu-Natal | South Africa | 1995 |
144 | Aberfan disaster | United Kingdom (Wales) | 1966 |
135 | Ozengeli, avalanche | Turkey | 1993 |
128 | Izumo, massive rain and mudslide | Japan | 1964 |
120 | 1991 Antofagasta Flood, mud swept | Chile | 1991 |
119 | 2007 Central and East Java torrential monsson rain, landslide, flood | Indonesia | 2007 |
117 | Masuda, massive rain and landslide | Japan | 1983 |
116 | Verdal, landslide | Norway | 1893 |
114 | Seoul, Inchon, heavy rain | South Korea | 1990 |
110 | northern Caucasas, northern Okrug, heavy rain, landslide | Russia | 2002 |
104 | 1981 Laingsburg flood | South Africa | 1981 |
98 | Flood of the millennium | Poland, Czech Republic | 1997 |
94 | Mameyes Disaster | Puerto Rico (Ponce) | 1985 |
over 90 | Columbus, Ohio flood on March 25, 1913 | United States | 1913 |
81 | Holmfirth Flood—Bilberry Reservoir dam failure | United Kingdom | 1852 |
80 | Johnstown Flood—Failure of Laurel Run Dam and flash flooding | United States | 1977 |
78 | Austin Dam failure | United States | 1911 |
73 | Kagoshima, mudslide and debris flow | Japan | 1993 |
72 | Gudbrandsdalen flood and landslides | Norway | 1789 |
70 | 2005 levee failures in Greater New Orleans | United States | 2005 |
70 | Frank Slide, Alberta | Canada | 1903 |
47 | McDonald Dam failure | United states | 1900 |
37 | Yuba City, California Christmas Eve flood, levee failure | United States | 1955 |
19 | North Sea flood, storm surge | Netherlands | 1916 |
19 | 1997 Threadbo landslide | Australia | 1997 |
16 | Brisbane flood | Australia | 1974 |
11 | 2007 United Kingdom floods | United Kingdom | 2007 |
See also
References
- ^ MSN Encarta Dictionary. Flood. Retrieved on 2006-12-28.
- ^ Southasianfloods.org
- ^ http://www.na.fs.fed.us/spfo/pubs/n_resource/flood/cover.htm
- ^ Floods, Tornadoes, Hurricanes, Wildfires, Earthquakes... Why We Don't Prepare. Amanda Ripley. Time. August 28, 2006.
- ^ Bradshaw CJ, Sodhi NS, Peh SH, Brook BW. (2007). Global evidence that deforestation amplifies flood risk and severity in the developing world. Global Change Biology, 13: 2379-2395.
- ^ National Institute for Occupational Safety and Health. Storm and Flood Cleanup. Accessed 09/23/2008.
- ^ The National Institute for Occupational Safety and Health. NIOSH Publication No. 94-123: NIOSH Warns of Hazards of Flood Cleanup Work.
- ^ Dyhouse, G. et al. Flood modelling Using HEC-RAS (First Edition), Haestad Press, Waterbury (USA), 2003.
- ^ Hydrologic Engineering Center Home Page
- ^ Tuflow
- ^ Flowroute
- ^ Pitt Review: Lessons learned from the 2007 floods. June 2008.
- ^ Worst Natural Disasters In History
External links
- International Flood Initiative
- Integrated Flood Management
- American Water Resources Association
- Dartmouth Flood Observatory
- Decision tree to choose an uncertainty method for hydrological and hydraulic modelling, Choosing an uncertainty analysis for flood modeling.
- DeltaWorks.Org Flood protecting dams and barriers project in the Netherlands
- Europe floods 2006
- Flood Risk Management Research Consortium*International teaching module "Integrated Flood Risk Management of Extreme Events" (Floodmaster)
- Predictions Off for Global Warming Flood Risk - Study.
- Protecting against the Next Katrina - Scientific American Magazine (October 2005)
- Related articles at Appropedia, a wiki for non-Wikipedia (projects & practical "how to") content.
- Safecoast Knowledge exchange on coastal flooding and climate change in the North Sea region
- Social & Economic Benefits/Costs of Heavy Rain & Flooding from NOAA Social & Economics Benefits website initiative
Further reading
- O'Connor, Jim E. and John E. Costa. (2004). The World's Largest Floods, Past and Present: Their Causes and Magnitudes [Circular 1254]. Washington, D.C.: U.S. Department of the Interior, U.S. Geological Survey.
- Thompson, M.T. (1964). Historical Floods in New England [Geological Survey Water-Supply Paper 1779-M]. Washington, D.C.: United States Government Printing Office.