Role of Land–Water Classification and Manning's Roughness Parameter in Space-Borne Estimation of Discharge for Braided Rivers: A Case Study of the Brahmaputra River in Bangladesh

Woldemichael, A. T.; Degu, Ahmed Mohammed; Siddique-E-Akbor, A.H.M.; Hossain, Faisal

doi:10.1109/jstars.2010.2050579

Cited by 12 publications

(8 citation statements)

References 18 publications

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“…To overcome this lack of data, recent studies have focused on extracting basin data from satellite imagery, including river data (e.g. Jung et al 2010;Woldemichael et al 2010;Mersel et al 2013) and land cover and land use data (Prasch et al 2015), but these methods still cannot fully replace in situ measurements. To the best of our knowledge, Coleman (1969) is the only author who has published series of average monthly discharge data coupled with simultaneous sediment data.…”

Section: Introductionmentioning

confidence: 99%

Present to future sediment transport of the Brahmaputra River: reducing uncertainty in predictions and management

et al. 2016

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The Brahmaputra River in South Asia carries one of the world's highest sediment loads, and the sediment transport dynamics strongly affect the region's ecology and agriculture. However, present understanding of sediment conditions and dynamics is hindered by limited access to hydrological and geomorphological data, which impacts predictive models needed in management. We here synthesize reported peer-reviewed data relevant to sediment transport and perform a sensitivity analysis to identify sensitive and uncertain parameters, using the one-dimensional model HEC-RAS, considering both present and future climatic conditions. Results showed that there is considerable uncertainty in openly available estimates (260-720 Mt yr -1 ) of the annual sediment load for the Brahmaputra River at its downstream Bahadurabad gauging station (Bangladesh). This may aggravate scientific impact studies of planned power plant and reservoir construction in the region, as well as more general effects of ongoing land use change and climate change. We found that data scarcity on sediment grain size distribution, water discharge, and Manning's roughness coefficient had the strongest controls on the modelled sediment load. However, despite uncertainty in absolute loads, we showed that predicted relative changes, including a future increase in sediment load by about 40 % at Bahadurabad by 2075-2100, were consistent across multiple model simulations. Nevertheless, for the future scenarios we found that parameter uncertainty almost doubled for water discharge and river geometry, highlighting that improved information on these parameters could greatly advance the abilities to predict and manage current and future sediment dynamics in the Brahmaputra river basin.

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Section: Introductionmentioning

confidence: 99%

Present to future sediment transport of the Brahmaputra River: reducing uncertainty in predictions and management

et al. 2016

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“…Most of the studies using SRTM data to estimate discharge are performed with the Manning's approach (e.g., [15] and [34]). This technique of discharge estimation is based on the Manning's equation.…”

Section: A General Methodologymentioning

confidence: 99%

“…Another approach is regression analysis of radar altimeter and in situ measured discharge (e.g., [17]). Among currently used techniques, one of the more physically grounded approaches is that using Manning's equation to derive discharge from spaceborne-derived water surface slope and stage data using satellite interferometry (e.g., [9], [15], [19], and [34]). …”

Section: Introductionmentioning

confidence: 99%

“…Thus, accuracy of spaceborne estimated discharge can depend on various factors ranging from the derived slope, reach averaging length, derived water elevation, and river width. In [34], Woldemichael et al showed a sensitivity analysis of change of section factor ( ) along the river reach. They suggest that the use of minimum water level for low-flow regimes can alleviate the uncertainty that can arise from uncertainty in section factor estimation.…”

Section: Introductionmentioning

confidence: 99%

“…Until SWOT becomes a reality, the only global source of satellite interferometric elevation data of water bodies that is also the closest analog to the SWOT mission is the SRTM, albeit with significant difference in scale, precision, and accuracy. Jung et al [15] and Woldemichael et al [34] recently reported a case study on the Brahmaputra river using the SRTM measurements of . This one-time SRTM mission (which flew over Bangladesh on February 20, 2000) provided a global coverage of digital elevation data using interferometry.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Understanding the Geophysical Sources of Uncertainty for Satellite Interferometric (SRTM)-Based Discharge Estimation in River Deltas: The Case for Bangladesh

Sikder

Hossain

2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Like most river deltas, Bangladesh represents a geo-1939-1404 . He has published over 100 peer-reviewed journal articles, authored an undergraduatelevel textbook, edited two book volumes, and contributed eight book chapters. His research interests include hydrologic remote sensing, uncertainty modeling of water cycle variables, human modification of extreme hydro-climatology, sustainable water resources engineering, spaceborne transboundary water resources management, engineering education, and public outreach. Dr. Hossain is also a recipient of awards such as NASA New Investigator Award in

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Transboundary River Management of the Ganges–Brahmaputra–Meghna (GBM) Delta: Environmental Challenges and Strategies

Khan

Rahman

2022

Environmental Degradation: Challenges and Strategies for Mitigation

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Role of Land–Water Classification and Manning's Roughness Parameter in Space-Borne Estimation of Discharge for Braided Rivers: A Case Study of the Brahmaputra River in Bangladesh

Cited by 12 publications

References 18 publications

Present to future sediment transport of the Brahmaputra River: reducing uncertainty in predictions and management

Present to future sediment transport of the Brahmaputra River: reducing uncertainty in predictions and management

Understanding the Geophysical Sources of Uncertainty for Satellite Interferometric (SRTM)-Based Discharge Estimation in River Deltas: The Case for Bangladesh

Transboundary River Management of the Ganges–Brahmaputra–Meghna (GBM) Delta: Environmental Challenges and Strategies

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