Characterization of complex fluvial systems using remote sensing of spatial and temporal water level variations in the Amazon, Congo, and Brahmaputra Rivers

Earth Surface Processes and Landforms - Tập 35 Số 3 - Trang 294-304 - 2010
Hahn Chul Jung1, James Hamski2, Michael Durand3, D. E. Alsdorf1, Faisal Hossain4, Hyongki Lee1, A. K. M. Azad Hossain5, Khaled Hasan6, Abu Saleh Khan7, Ashabul Hoque7
1School of Earth Sciences, Ohio State University, Columbus, OH
2The Louis Berger Group, Inc., Needham MA
3Byrd Polar Research Center, Ohio State University, Columbus OH
4Dept. of Civil and Environmental Engineering; Tennessee Technological University; Cookeville TN
5National Center for Computational Hydrosciences and Engineering, University of Mississippi, Oxford, MS
6Department of Geology, Dhaka University, Bangladesh
7Institute of Water Modeling, Dhaka, Bangladesh

Tóm tắt

AbstractThe Surface Water and Ocean Topography (SWOT) satellite mission will provide global, space‐based estimates of water elevation, its temporal change, and its spatial slope in fluvial environments, as well as across lakes, reservoirs, wetlands, and floodplains. This paper illustrates the utility of existing remote sensing measurements of water temporal changes and spatial slope to characterize two complex fluvial environments. First, repeat‐pass interferometric SAR measurements from the Japanese Earth Resources Satellite are used to compare and contrast floodplain processes in the Amazon and Congo River basins. Measurements of temporal water level changes over the two areas reveal clearly different hydraulic processes at work. The Amazon is highly interconnected by floodplain channels, resulting in complex flow patterns. In contrast, the Congo does not show similar floodplain channels and the flow patterns are not well defined and have diffuse boundaries. During inundation, the Amazon floodplain often shows sharp hydraulic changes across floodplain channels. The Congo, however, does not show similar sharp changes during either infilling or evacuation. Second, Shuttle Radar Topography Mission measurements of water elevation are used to derive water slope over the braided Brahmaputra river system. In combination with in situ bathymetry measurements, water elevation and slope allow one to calculate discharge estimates within 2.3% accuracy. These two studies illustrate the utility of satellite‐based measurements of water elevation for characterizing complex fluvial environments, and highlight the potential of SWOT measurements for fluvial hydrology. Copyright © 2010 John Wiley & Sons, Ltd.

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Tài liệu tham khảo

10.1038/nature02002

Albertson ML, 1964, Handbook of Applied Hydrology: A Compendium of Water‐Resources Technology

10.1038/35004560

10.1111/1467-8306.93105

10.1126/science.1089802

AlsdorfDE RodriguezE LettenmaierD FamigliettiJ.2005. WatER: The Water Elevation Recovery Satellite Mission a Response to the National Research Council Decadal Survey Request for Information URL:http://www.bprc.osu.edu/water/.

Alsdorf DE, 2006, Measuring surface water from space, 45, RG2002

10.1029/2007GL029447

10.1046/j.1365-3091.2000.00305.x

Bangladesh Institute of Water Modeling.2007. Discharge data.http://www.iwmbd.org/.

Biancamaria S, 2009, Preliminary characterization of SWOT hydrology error budget and global capabilities, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

10.1029/2001JD000609

10.1016/j.jhydrol.2004.11.022

10.1029/2005EO190001

10.1029/2006WR005238

10.1016/j.crte.2006.05.012

10.1017/CBO9780511542091.006

10.1016/0037-0738(69)90010-4

10.1109/36.868880

10.1029/2005RG000183

10.1029/2007JD009438

10.1016/j.rse.2005.08.016

10.1016/j.rse.2003.04.001

10.1029/2006EO050001

Jung HC, Repeat‐pass multi‐temporal interferometric SAR coherence variations with Amazon floodplain and lake habitats, International Journal of Remote Sensing

10.1029/96JD01869

10.14358/PERS.72.3.313

10.1029/93WR00542

10.1016/j.rse.2004.07.007

10.1080/014311698213803

10.1016/S0022-1694(01)00340-7

10.1016/j.jog.2008.05.001

10.1016/j.jhydrol.2005.12.006

10.1029/2005GL023836

10.1038/364138a0

10.1093/oso/9780195114317.003.0017

10.1130/0016-7606(1996)108<1089:CFGATS>2.3.CO;2

10.1029/WR018i004p00800

National Research Council (NRC), 2007, Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond, 418

10.1080/02626660209493018

10.1029/2008GL033268

10.1029/2002JD002583

10.1080/01431160110092902

SautterG.1966.De l'Atlantique au fleuve Congo: Une géographie du sous‐peuplement (Paris/La Haye: Mouton) 2.

Sippel SJ, 1992, Inundation area and morphometry of lakes on the Amazon River floodplain, Brazil, Archives of Hydrobiology, 123, 385, 10.1127/archiv-hydrobiol/123/1992/385

10.1016/j.rse.2002.12.002

10.1029/2007WR006133

10.1130/0091-7613(1998)026<0395:COSAOC>2.3.CO;2

10.1029/96WR00752