Temporal dynamics of water and sediment exchanges between the Curuaí floodplain and the Amazon River, Brazil

Bourgoin, Laurence Maurice; Bonnet, Marie‐Paule; Martinez, Jean‐Michel; Kosuth, Pascal; Cochonneau, Gérard; Moreira-Turcq, Patrícia; Guyot, Jean‐Loup; Vauchel, Philippe; Filizola, Naziano; Seyler, Patrick

doi:10.1016/j.jhydrol.2006.11.023

Cited by 125 publications

(78 citation statements)

References 22 publications

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“…In comparing two regional approaches for channel hydrodynamic modeling, including or omitting floodplain storage, these authors found a difference in travel time of approximately 1 month at the scale of the Solimões and Amazon basin. When flood waters travel across the floodplain, a significant part of the main channel sediment load is trapped [6][7][8]. Floodplains also significantly alter the fate of carbon and nutrients in the basin [9,10].…”

Section: Introductionmentioning

confidence: 99%

Correction of Interferometric and Vegetation Biases in the SRTMGL1 Spaceborne DEM with Hydrological Conditioning towards Improved Hydrodynamics Modeling in the Amazon Basin

et al. 2015

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Abstract:In the Amazon basin, the recently released SRTM Global 1 arc-second (SRTMGL1) remains the best topographic information for hydrological and hydrodynamic modeling purposes. However, its accuracy is hindered by errors, partly due to vegetation, leading to erroneous simulations. Previous efforts to remove the vegetation signal either did not account for its spatial variability or relied on a single assumed percentage of penetration of the SRTM signal. Here, we propose a systematic approach over an Amazonian floodplain to remove the vegetation signal, addressing its heterogeneity by combining estimates of vegetation height and a land cover map. We improve this approach by interpolating the first results with drainage network, field and altimetry data to obtain a hydrological conditioned DEM. The averaged interferometric and vegetation biases over the forest zone were found to be´2.0 m and 7.4 m, respectively. Comparing the original and corrected DEM, vertical validation against Ground Control Points shows a RMSE reduction of 64%. Flood extent accuracy, controlled against Landsat and JERS-1 images, stresses improvements in low and high water periods (+24% and +18%, respectively). This study also highlights that a ground truth drainage network, as a unique input during the interpolation, achieves reasonable results in terms of flood extent and hydrological characteristics.

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Section: Introductionmentioning

confidence: 99%

Correction of Interferometric and Vegetation Biases in the SRTMGL1 Spaceborne DEM with Hydrological Conditioning towards Improved Hydrodynamics Modeling in the Amazon Basin

et al. 2015

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“…However, according to our results, the lignin phenols increased their concentration in the RW and the FW seasons. The hydrodynamics of floodplain lakes and their connections to the local drainage flooded forests and the main stem (Bourgoin et al, 2007;Bonnet et al, 2008), and the analysis of biomarkers applied in this study, suggest that in the RW and FW seasons, these organic molecules are mainly derived from the drainage of local wetlands and lowland "terra firme" soils. This is more evident for the upstream lakes surrounded by larger flooded forests than for the downstream lakes surrounded mainly by grass vegetation and shrubs.…”

Section: Seasonal Changes In the Composition Of Sedimentary Organic Mmentioning

confidence: 61%

“…1a, Table 1). The lakes are located along the Solimões-Amazon River shoreline in a biogeographic gradient of upstream flooded forests to downstream flooded woodlands and open water lakes (Bourgoin et al, 2007;Abril et al, 2014). Cabaliana is a round-shaped lake surrounded by flooded forests and two sub-regions (Fig.…”

Section: Study Areamentioning

confidence: 99%

Spatial and seasonal contrasts of sedimentary organic matter in floodplain lakes of the central Amazon basin

et al. 2016

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Abstract. In this study, we investigated the seasonal and spatial pattern of sedimentary organic matter (SOM) in five floodplain lakes of the central Amazon basin (Cabaliana, Janauaca, Canaçari, Mirituba and Curuai) which have different morphologies, hydrodynamics and vegetation coverages. Surface sediments were collected in four hydrological seasons: low water (LW), rising water (RW), high water (HW) and falling water (FW) in 2009 and 2010. We investigated commonly used bulk geochemical tracers such as the C : N ratio and the stable isotopic composition of organic carbon (δ 13 C org ). These results were compared with lignin phenol parameters as an indicator of vascular plant detritus and branched glycerol dialkyl glycerol tetraethers (brGDGTs) to trace the input of soil organic matter (OM) from land to the aquatic settings. We also applied the crenarchaeol as an indicator of aquatic (rivers and lakes) OM. Our data showed that during the RW and FW seasons, the surface sediments were enriched in lignin and brGDGTs in comparison to other seasons. Our study also indicated that floodplain lake sediments primarily consisted of allochthonous, C 3 plant-derived OM. However, a downstream increase in C 4 macrophyte-derived OM contribution was observed along the gradient of increasing open waters -i.e., from upstream to downstream. Accordingly, we attribute the temporal and spatial difference in SOM composition to the hydrological dynamics between the floodplain lakes and the surrounding flooded forests.

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“…The residence time of the riverine water within the floodplain is 5 months ± 0.8 month, while the residence time of water from all sources is 3 ± 0.2 months (Bonnet et al 2008). The lowest and highest absolute water levels recorded at the Curuaí gauging station during the 1982-2003 period were 3.03 m and 9.61 m, respectively, giving a maximum variation of 6.58 m (Bourgoin et al 2007).…”

Section: Study Site and Backgroundmentioning

confidence: 93%

Use of ordinary Kriging algorithm and wavelet analysis to understanding the turbidity behavior in an Amazon floodplain

Alcântara

2008

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The objective of this paper is to study the turbidity behavior in an Amazon Floodplain Lake. Observations of turbidity provide quantitative information about water quality conditions. However, the number of available in situ measurements of water quality characteristics is usually limited, especially temporal series variables and synoptic coverage of extensive water body. In order to contribute to the study of turbidity we present two approaches: (i) the first is based on wavelet analysis of a turbidity time series measured by an automatic monitoring system; (ii) the second is based on spatially distributed turbidity samples analized by Ordinary Kriging algorithm. The main results are: the space/time turbidity variability is related to Amazon river flood pulse in the floodplain; during the rising and receding water stages, the water exchange between Amazon river and floodplain is the major driven force in turbidity variability; during the high water level, the lake bathymetry controls turbidity variability; and during the low water level, the wind intensity and lake morphometry are the main causes of turbidity variability. The joint use of temporal and spatial data showed a great potential for understanding the turbidity behavior in a complex aquatic system, like the Amazon floodplain.

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Temporal dynamics of water and sediment exchanges between the Curuaí floodplain and the Amazon River, Brazil

Cited by 125 publications

References 22 publications

Correction of Interferometric and Vegetation Biases in the SRTMGL1 Spaceborne DEM with Hydrological Conditioning towards Improved Hydrodynamics Modeling in the Amazon Basin

Correction of Interferometric and Vegetation Biases in the SRTMGL1 Spaceborne DEM with Hydrological Conditioning towards Improved Hydrodynamics Modeling in the Amazon Basin

Spatial and seasonal contrasts of sedimentary organic matter in floodplain lakes of the central Amazon basin

Use of ordinary Kriging algorithm and wavelet analysis to understanding the turbidity behavior in an Amazon floodplain

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