Water Level Fluctuations in the Congo Basin Derived from ENVISAT Satellite Altimetry

被引:37
作者
Becker, Melanie [1 ]
da Silva, Joecila Santos [2 ]
Calmant, Stephane [3 ]
Robinet, Vivien [1 ]
Linguet, Laurent [1 ]
Seyler, Frederique [4 ]
机构
[1] UAG ESPACE DEV, Cayenne 97300, French Guiana
[2] UEA CESTU, BR-69058807 Manaus, Amazonas, Brazil
[3] IRD LEGOS, F-31400 Toulouse, France
[4] IRD ESPACE DEV, Cayenne 97300, French Guiana
关键词
satellite altimetry; Congo Basin; regional hydrology; K-means; AMAZON; FLOOD; REGIONALIZATION; VALIDATION;
D O I
10.3390/rs6109340
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the Congo Basin, the elevated vulnerability of food security and the water supply implies that sustainable development strategies must incorporate the effects of climate change on hydrological regimes. However, the lack of observational hydro-climatic data over the past decades strongly limits the number of studies investigating the effects of climate change in the Congo Basin. We present the largest altimetry-based dataset of water levels ever constituted over the entire Congo Basin. This dataset of water levels illuminates the hydrological regimes of various tributaries of the Congo River. A total of 140 water level time series are extracted using ENVISAT altimetry over the period of 2003 to 2009. To improve the understanding of the physical phenomena dominating the region, we perform a K-means cluster analysis of the altimeter-derived river level height variations to identify groups of hydrologically similar catchments. This analysis reveals nine distinct hydrological regions. The proposed regionalization scheme is validated and therefore considered reliable for estimating monthly water level variations in the Congo Basin. This result confirms the potential of satellite altimetry in monitoring spatio-temporal water level variations as a promising and unprecedented means for improved representation of the hydrologic characteristics in large ungauged river basins.
引用
收藏
页码:9340 / 9358
页数:19
相关论文
共 39 条
[1]  
Alsdorf D.E., MEASURING SURFACE WA
[2]   ICE-SHEET ALTIMETER PROCESSING SCHEME [J].
BAMBER, JL .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (04) :925-938
[3]   Recent hydrological behavior of the East African great lakes region inferred from GRACE, satellite altimetry and rainfall observations [J].
Becker, Melanie ;
LLovel, William ;
Cazenave, Anny ;
Guentner, Andreas ;
Cretaux, Jean-Francois .
COMPTES RENDUS GEOSCIENCE, 2010, 342 (03) :223-233
[4]  
Bernard E., CLIMAT ECOLOGIQUE CU
[5]   COMPARISON OF METHOD OF RESIDUALS AND CLUSTER-ANALYSIS FOR FLOOD REGIONALIZATION [J].
BHASKAR, NR ;
OCONNOR, CA .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1989, 115 (06) :793-808
[6]  
Bultot F., ATLAS CLIMATIQUE BAS
[7]   The formation of groups for regional flood frequency analysis [J].
Burn, DH ;
Goel, NK .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2000, 45 (01) :97-112
[8]  
Campbell D., 2005, P149
[9]  
Charlier J, 1955, ETUDES HYDROGRAPHIQU
[10]   Uncertainty in the estimation of mean annual flood due to rating-curve indefinition [J].
Clarke, RT .
JOURNAL OF HYDROLOGY, 1999, 222 (1-4) :185-190