Evaluation of Stream Flow Prediction Capability of Hydrological Models in the Upper Blue Nile Basin, Ethiopia

2020 ◽  
pp. 210-227
Author(s):  
Bayu G. Bihonegn ◽  
Mamaru A. Moges ◽  
Gerawork F. Mulu ◽  
Berhanu G. Sinshaw
Keyword(s):  
Stream Flow ◽  
Hydrological Models ◽  
Nile Basin ◽  
Blue Nile ◽  
Flow Prediction ◽  
Blue Nile Basin ◽  
Prediction Capability ◽  
Upper Blue Nile Basin

scholarly journals Changes in land cover and stream flows in Gilgel Abbay catchment, Upper Blue Nile basin – Ethiopia

2010 ◽  
Vol 7 (6) ◽  
pp. 9567-9598 ◽  
Author(s):  
T. H. M. Rientjes ◽  
A. T. Haile ◽  
C. M. M. Mannaerts ◽  
E. Kebede ◽  
E. Habib
Keyword(s):  
Time Series ◽  
Land Cover ◽  
Stream Flow ◽  
Agricultural Land ◽  
Flow Time ◽  
Nile Basin ◽  
Classification Analysis ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Upper Blue Nile Basin

Abstract. We evaluated the land cover change in the Upper Gilgel Abbay catchment in the Upper Blue Nile basin through classification analysis of remote sensing based land cover data and through assessing the changes in the hydrological regime by statistical analysis of stream flow observations. Results of the land cover classification analysis indicated that 50.9% and 16.7% of the catchment area was covered by forest in 1973 and 2001, respectively. This significant decrease in forest cover is mainly due to expansion of agricultural land. A comparison of stream flow time series of the Upper Gilgel Abbay catchment to stream flow time series from two neighbouring catchments shows a different trend and a statistically significant change over time. In 1986–2001, the annual and the high flows of the catchment increased by 13% and 46%, respectively while the low flows decreased by 35%. Generally, the results indicate significant changes in land cover and the hydrological regimes of the Upper Gilgel Abbay catchment over the past 30 years.

scholarly journals Comparing TRMM 3B42, CFSR and ground-based rainfall estimates as input for hydrological models, in data scarce regions: the Upper Blue Nile Basin, Ethiopia

2015 ◽  
Vol 12 (2) ◽  
pp. 2081-2112 ◽  
Author(s):  
A. W. Worqlul ◽  
A. S. Collick ◽  
S. A. Tilahun ◽  
S. Langan ◽  
T. H. M. Rientjes ◽  
...  
Keyword(s):  
Rain Gauge ◽  
Hydrological Models ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Satellite Rainfall ◽  
Trmm 3B42 ◽  
Rainfall Estimates ◽  
Better Than ◽  
Upper Blue Nile Basin

Abstract. Accurate prediction of hydrological models requires accurate spatial and temporal distribution of rainfall observation network. In developing countries rainfall observation station network are sparse and unevenly distributed. Satellite-based products have the potential to overcome these shortcomings. The objective of this study is to compare the advantages and the limitation of commonly used high-resolution satellite rainfall products as input to hydrological models as compared to sparsely populated network of rain gauges. For this comparison we use two semi-distributed hydrological models Hydrologiska Byråns Vattenbalansavdelning (HBV) and Parameter Efficient Distributed (PED) that performed well in Ethiopian highlands in two watersheds: the Gilgel Abay with relatively dense network and Main Beles with relatively scarce rain gauge stations. Both are located in the Upper Blue Nile Basin. The two models are calibrated with the observed discharge from 1994 to 2003 and validated from 2004 to 2006. Satellite rainfall estimates used includes Climate Forecast System Reanalysis (CFSR), Tropical Rainfall Measuring Mission (TRMM) 3B42 version 7 and ground rainfall measurements. The results indicated that both the gauged and the CFSR precipitation estimates were able to reproduce the stream flow well for both models and both watershed. TRMM 3B42 performed poorly with Nash Sutcliffe values less than 0.1. As expected the HBV model performed slightly better than the PED model, because HBV divides the watershed into sub-basins resulting in a greater number of calibration parameters. The simulated discharge for the Gilgel Abay was better than for the less well endowed (rain gauge wise) Main Beles. Finally surprisingly, the ground based gauge performed better for both watersheds (with the exception of extreme events) than TRMM and CFSR satellite rainfall estimates. Undoubtedly in the future, when improved satellite products will become available, this will change.

Evaluation of CFSR, TMPA 3B42 and ground-based rainfall data as input for hydrological models, in data-scarce regions: The upper Blue Nile Basin, Ethiopia

CATENA ◽  
2017 ◽  
Vol 152 ◽  
pp. 242-251 ◽  
Author(s):  
Abeyou W. Worqlul ◽  
Haw Yen ◽  
Amy S. Collick ◽  
Seifu A. Tilahun ◽  
Simon Langan ◽  
...  
Keyword(s):  
Rainfall Data ◽  
Hydrological Models ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Upper Blue Nile Basin
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