REMOTE SENSING OF WATER BALANCE IN PANTANAL

Pantanal, located in the Upper Paraguay basin, is the world’s largest tropical wetland. The maintenance of this ecosystem depends on the water balance since precipitation is seasonal and high losses of water occur due to the high evapotranspiration. Water balance assessment using in situ data is sti...

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Detalles Bibliográficos
Autores principales: Moreira, Adriana Aparecida, Fassoni-Andrade, Alice César, Ruhoff, Anderson Luis, Paiva, Rodrigo Cauduro Dias de
Formato: info:eu-repo/semantics/article
Lenguaje:Inglés
Portugués
Publicado: UFPR 2019
Materias:
Acceso en línea:https://revistas.ufpr.br/raega/article/view/67096
http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/74637
Descripción
Sumario:Pantanal, located in the Upper Paraguay basin, is the world’s largest tropical wetland. The maintenance of this ecosystem depends on the water balance since precipitation is seasonal and high losses of water occur due to the high evapotranspiration. Water balance assessment using in situ data is still a challenge due to the large extension of the area and the complexity to be represented. In this study, the water balance in the Upper Paraguay basin was investigated based on hydrological variables derived from remote sensing data. Precipitation, evapotranspiration, and water storage change data were estimated with accuracy by the water balance, but the same was not possible for the discharge. However, high uncertainties in the estimates were verified, mainly during the rainy season. The remote sensing data allowed the identification of the seasonality of hydrological variables in the Pantanal system and in the different regions of the basin: Chaco, Pantanal and Planalto. Water deficit in the basin was observed from March/April to September as well as a positive water balance due to precipitation during the rest of the year. The spatial analysis of the basin showed that in the northern region, the precipitation, the evapotranspiration, and the water storage variation are higher than in the southern region. Results demonstrated that remote sensing data can help in the comprehension of hydrological systems operation, especially in large wetland regions.