Title of article :
Characterization of terrestrial water dynamics in the Congo Basin using GRACE and satellite radar altimetry
Author/Authors :
Lee، نويسنده , , Hyongki and Beighley، نويسنده , , R. Edward and Alsdorf، نويسنده , , Douglas and Jung، نويسنده , , Hahn Chul and Shum، نويسنده , , C.K. and Duan، نويسنده , , Jianbin and Guo، نويسنده , , Junyi and Yamazaki، نويسنده , , Dai and Andreadis، نويسنده , , Konstantinos، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
9
From page :
3530
To page :
3538
Abstract :
The Congo Basin is the worldʹs third largest in size (~ 3.7 million km2), and second only to the Amazon River in discharge (~ 40,200 m3 s− 1 annual average). However, the hydrological dynamics of seasonally flooded wetlands and floodplains remains poorly quantified. Here, we separate the Congo wetland into four 3° × 3° regions, and use remote sensing measurements (i.e., GRACE, satellite radar altimeter, GPCP, JERS-1, SRTM, and MODIS) to estimate the amounts of water filling and draining from the Congo wetland, and to determine the source of the water. We find that the amount of water annually filling and draining the Congo wetlands is 111 km3, which is about one-third the size of the water volumes found on the mainstem Amazon floodplain. Based on amplitude comparisons among the water volume changes and timing comparisons among their fluxes, we conclude that the local upland runoff is the main source of the Congo wetland water, not the fluvial process of river-floodplain water exchange as in the Amazon. Our hydraulic analysis using altimeter measurements also supports our conclusion by demonstrating that water surface elevations in the wetlands are consistently higher than the adjacent river water levels. Our research highlights differences in the hydrology and hydrodynamics between the Congo wetland and the mainstem Amazon floodplain.
Keywords :
Wetland , Water Storage , GRACE , Satellite radar altimetry , Congo
Journal title :
Remote Sensing of Environment
Serial Year :
2011
Journal title :
Remote Sensing of Environment
Record number :
1631306
Link To Document :
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