Lake topography and active storage from satellite observations of flood frequency

Fassoni‐Andrade, Alice César; Paiva, Rodrigo Cauduro Dias de; Fleischmann, Ayan Santos

doi:10.1002/essoar.10502735.1

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…(2006) conducted an extensive bathymetric survey of the Lake Grande do Curuai floodplain, in the eastern Amazon basin. The bathymetry was used to estimate volume, in hydraulic simulation (Rudorff et al., 2014a) and topographic assessment (Fassoni‐Andrade, Paiva, & Fleischmann, 2020). Trigg et al.…”

Section: Surface Watermentioning

confidence: 99%

“…Furthermore, the proliferation of dams in tropical basins as the Amazon, Congo, and the Mekong require basin‐scale planning and analysis tools to foster mutual benefits in understanding these changes (e.g., Biswas et al., 2021; Latrubesse et al., 2017; Schmitt et al., 2019; Winemiller et al., 2016), and RS data stand out as powerful tool to monitor large scale impacts of existing man‐made reservoirs (e.g., Resende et al., 2019), and infer their characteristics, such as water level and stage‐area‐volume relationships (e.g., Fassoni‐Andrade, Paiva, & Fleischmann, 2020; Gao et al., 2012; Hoek et al., 2019). Better data and knowledge of these impacts are also the base for better hydro‐geomorphological models that could quantify the expected impacts of planned reservoirs and, therefore, aid in creating designs that minimize environmental impacts.…”

Section: Synthesis Of Scientific Advances Future Challenges and Prioritiesmentioning

confidence: 99%

“…Furthermore, NISAR and SWOT satellites will open opportunities with more accurate estimates of the surface water extent and distributed SWE over water bodies. Thus, new methodologies for topographic mappings, such as the waterline method (Salameh et al., 2019) and Flood2Topo (Fassoni‐Andrade, Paiva, & Fleischmann, 2020), can be further developed. Nevertheless, observing river and floodplains bathymetry from space will remain a continuing challenge since adequate solutions for its direct measurement are still lacking, even if future altimetric observations seem to open a new way forward.…”

Section: Synthesis Of Scientific Advances Future Challenges and Prior...mentioning

confidence: 99%

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Amazon Hydrology From Space: Scientific Advances and Future Challenges

Fassoni‐Andrade

Fleischmann

Papa

et al. 2021

Reviews of Geophysics

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As the largest river basin on Earth, the Amazon is of major importance to the world's climate and water resources. Over the past decades, advances in satellite‐based remote sensing (RS) have brought our understanding of its terrestrial water cycle and the associated hydrological processes to a new era. Here, we review major studies and the various techniques using satellite RS in the Amazon. We show how RS played a major role in supporting new research and key findings regarding the Amazon water cycle, and how the region became a laboratory for groundbreaking investigations of new satellite retrievals and analyses. At the basin‐scale, the understanding of several hydrological processes was only possible with the advent of RS observations, such as the characterization of "rainfall hotspots" in the Andes‐Amazon transition, evapotranspiration rates, and variations of surface waters and groundwater storage. These results strongly contribute to the recent advances of hydrological models and to our new understanding of the Amazon water budget and aquatic environments. In the context of upcoming hydrology‐oriented satellite missions, which will offer the opportunity for new synergies and new observations with finer space‐time resolution, this review aims to guide future research agenda toward integrated monitoring and understanding of the Amazon water from space. Integrated multidisciplinary studies, fostered by international collaborations, set up future directions to tackle the great challenges the Amazon is currently facing, from climate change to increased anthropogenic pressure.

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Section: Surface Watermentioning

confidence: 99%

Section: Synthesis Of Scientific Advances Future Challenges and Prioritiesmentioning

confidence: 99%

Section: Synthesis Of Scientific Advances Future Challenges and Prior...mentioning

confidence: 99%

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Amazon Hydrology From Space: Scientific Advances and Future Challenges

Fassoni‐Andrade

Fleischmann

Papa

et al. 2021

Reviews of Geophysics

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“…Overall, relative errors are higher upstream, in single channeled, low water height reaches and in the Branco backwater influences. Note that 2D complex lateral flows in floodplains or retention behaviours from "igarape" rivers may happen in high flow periods (see [65,66]).…”

Section: Effective Models Calibration Against Altimetrymentioning

confidence: 99%

Estimation of multiple inflows and effective channel by assimilation of multi-satellite hydraulic signatures: The ungauged anabranching Negro river

Pujol

Garambois

Finaud-Guyot

et al. 2020

Journal of Hydrology

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With the upcoming SWOT satellite mission, which should provide spatially dense river surface elevation, width and slope observations globally, comes the opportunity to assimilate such data into hydrodynamic models, from the reach scale to the hydrographic network scale. Based on the HiVDI (Hierarchical Variational Discharge Inversion) modeling strategy (Larnier et al. [1]), this study tackles the forward and inverse modeling capabilities of distributed channel parameters and multiple inflows (in the 1D Saint-Venant model) from multisatellite observations of river surface. It is shown on synthetic cases that the estimation of both inflows and distributed channel parameters (bathymetry-friction) is achievable with a minimum spatial observability between inflows as long as their hydraulic signature is sampled. Next, a real case is studied: 871 km of the Negro river (Amazon basin) including complex multichannel reaches, 21 tributaries and backwater controls from major confluences. An effective modeling approach is proposed using (i) WS elevations from ENVISAT data and dense in situ GPS flow lines (Moreira [2]), (ii) average river top widths from optical imagery (Pekel et al. [3]), (iii) upstream and lateral flows from the MGB large-scale hydrological model (Paiva et al. [4]). The calibrated effective hydraulic model closely fits satellite altimetry observations and presents real like spatial variabilities; flood wave propagation and water surface observation frequential features are analyzed with identifiability maps following Brisset et al. [5]. Synthetic SWOT observations are generated from the simulated flowlines and allow to infer model parameters (436 effective bathymetry points, 17 friction

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“…In addition, HCs were created by identifying the area by water level and the storage capacity using the topographic information of river basins, reservoirs, and wetlands, and the topographic and morphological characteristics of basins were identified and utilized as basic data (Hayashi et al, 2000;Park et al, 2000;Oertel et al, 2000;Kim et al, 2002;6 Kang et al, 2005;Nam et al, 2015). For reservoirs, the morphology index and HC are important information for research on topographic characteristics, and studies that can quantitatively present topographic characteristics are also required (Takeuchi，1997; Leonard et al, 1999;Lehner et al, 2004;Dargahi & Setegn., 2011;Li et al, 2014;Zhang et al, 2017;Lopes et al, 2018;Munar et al, 2018;Andrade et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

On Hypsometric Curve and Morphological Analysis of The Collapsed Irrigation Reservoirs

Kim

Wang

et al. 2021

Preprint

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To identify the drought and flood control functions of an irrigation reservoir, research on hydrological analysis and its impact needs to be conducted. To this end, geographical characteristics, such as the cross section of the reservoir, are important, but such information is insufficient. Therefore, this study aimed to identify the topographic and morphological characteristics of reservoirs without measured data using their geographical information. In addition, an attempt was made to identify the morphological characteristics of reservoirs that had collapsed due to aging and the increased frequency of occurrence of strong rainfall intensity caused by climate change. Ten reservoirs, including the Ga-Gog Reservoir located in Miryang city, Gyeongsangnam province, South Korea with measured data, were selected as target reservoirs. The topographic information of the target reservoirs was constructed using topographical maps and GIS techniques. Based on the information, the volume (V)-area (A)-depth (H) relationship and the hypsometric curve (HC) according to the relative height (h/H) and relative area (a/A) were created. When the volume of each reservoir estimated using topographic information was compared with the measured volume, the error rate was found be between 0.23 and 14.27%. In addition, two reservoirs that had collapsed near Miryang city were added, and the V-A-H relationship and HCs were created based on the topographic information. In addition, the morphology index, storage-area of full water-levee height relationship, and storage-area of full water relationship were analyzed to identify the morphological characteristics of the reservoirs. The analysis results showed that the collapsed reservoirs had a relatively high water depth and a large area. In addition, similar types of reservoirs were grouped by conducting cluster analysis using basic specifications, such as the reservoir watershed, storage, and area of full water. When the cluster analysis results were analyzed based on HC, the reservoirs were grouped into three shapes: convex upward shape (youthful stage), relatively flat shape (mature stage), and convex downward shape (old stage). The HCs of the collapsed reservoirs exhibited the convex downward shape (old stage), indicating that they were subjected to considerable erosion due to aging. In other words, considerable erosion makes the allowable storage capacity insufficient due to the large amount of sediment accumulated in reservoirs and reduces their flood control capacity, which may cause them to collapse during heavy rainfall. Therefore, it is expected that identifying the potential causes of reservoir collapse through the morphological characteristics and HCs of reservoirs will support the operation and management of reservoirs for reducing flood damage.

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Lake topography and active storage from satellite observations of flood frequency

Cited by 5 publications

References 12 publications

Amazon Hydrology From Space: Scientific Advances and Future Challenges

Amazon Hydrology From Space: Scientific Advances and Future Challenges

Estimation of multiple inflows and effective channel by assimilation of multi-satellite hydraulic signatures: The ungauged anabranching Negro river

On Hypsometric Curve and Morphological Analysis of The Collapsed Irrigation Reservoirs

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