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Artigo
Forecasting the flood-pulse in Central Amazonia by ENSO-indices
The flood-pulse of the large rivers in Central Amazonia triggers ecological processes of the floodplain systems inducing a severe seasonality in the annual cycle between the aquatic and the terrestrial phase. The nutrient-rich floodplains (várzea) have the highest human population density in Amazoni...
Autor principal: | Schöngart, Jochen |
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Outros Autores: | Junk, Wolfgang Johannes |
Grau: | Artigo |
Idioma: | English |
Publicado em: |
Journal of Hydrology
2020
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Assuntos: | |
Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/18677 |
Resumo: |
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The flood-pulse of the large rivers in Central Amazonia triggers ecological processes of the floodplain systems inducing a severe seasonality in the annual cycle between the aquatic and the terrestrial phase. The nutrient-rich floodplains (várzea) have the highest human population density in Amazonia and economic activities such as fishing, agriculture, pasture and timber extraction are directly associated with water-level fluctuations. The discharge of many tropical river systems responds to the El Niño-Southern Oscillation (ENSO) originating from the tropical Pacific. Several studies show a strong relationship between the flooding regime of Amazonian rivers and ENSO-indices, such as the meteorological Southern Oscillation Index (SOI) and sea surface temperatures (SSTs). During warm ENSO-phases (El Niño) flood-levels are lowered and aquatic phases are shortened, while high and prolonged flooding is associated to cold ENSO-phases (La Niña). Here we present retrospective forecasts of the maximum water level in Central Amazonia from 1903 to 2004 - generally occurring in the second half of June - and the length of the aquatic phase along the flood-gradient by models based on the SOI and SST anomalies of the El Niño 3.4 region in February, four months before its appearance. The forecast of the flood-pulse allows also predicting parameters correlated with the flood-pulse (e.g., tree growth, biogeochemical cycles) and increases the efficiency in planning and executing of economic activities by the human population (e.g., fishery, timber extraction, agriculture). © 2006 Elsevier B.V. All rights reserved. |