Recession flow analysis of the Blue Nile River

Mishra, Anil Kumar; Hata, Takeshi; Abdel-Hadi, Aleya; Tada, Akio; Tanakamaru, Haruya

doi:10.1002/hyp.1436

Cited by 20 publications

(14 citation statements)

References 21 publications

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“…Since precipitation data used in previous studies (e.g., Hurst et al. , 1959;USBR, 1964; Gamachu, 1977; Conway, 2000; Mishra et al. , 2003, 2004) are too short, monthly precipitation data from the GHCN were used in this work.…”

Section: Precipitation Datamentioning

confidence: 99%

“…One benefactor of this type of analysis is the upper Blue Nile River Basin with its limited data and high dependency on rain‐fed agriculture. Since most hydrologic modeling studies in the upper Blue Nile Basin have focused on estimating the runoff at the basin outlet (Conway and Hulme, 1993; Johnson and Curtis, 1994; Conway, 1997, 2000; Mishra et al. , 2003, 2004; Antar et al.…”

Section: Introductionmentioning

confidence: 99%

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Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia¹

Kim

Kaluarachchi

Smakhtin

2008

J American Water Resour Assoc

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This work develops a methodology to project the future precipitation in large river basins under limited data and climate change while preserving the historical temporal and spatial characteristics. The computationally simple and reliable conditional generation method (CGM) is presented and applied to generate reliable monthly precipitation data in the upper Blue Nile River Basin of Ethiopia where rain‐fed agriculture is prevalent. The results showed that the temporal analysis with the CGM performs better to reproduce the historical long‐term characteristics than other methods, and the spatial analysis with the CGM reproduced the historical spatial structure accurately. A 100‐year time series analysis using the outcomes of the six general circulation models showed that precipitation changes by the 2050s (2040 through 2069) can be −7 to 28% with a mean increase of about 11%. The seasonal results showed increasing wet conditions in all seasons with changes of mean precipitation of 5, 47, and 6% for wet, dry, and mild seasons, respectively.

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Section: Precipitation Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia¹

Kim

Kaluarachchi

Smakhtin

2008

J American Water Resour Assoc

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“…Thus, a better understanding of flow characteristics throughout the upper Nile River's basins in Ethiopia that account for seasonal differences and different spatial scales is necessary. There have been limited studies on basin characteristics, climate conditions, and hydrology of the Upper 3719 Nile Basin in Ethiopia (Antar et al, 2006;Mishra and Hata, 2006;Johnson and Curtis, 1994;Conway, 1997) with a very few being published relating to hydrological conditions in the Blue Nile and its tributaries (Conway, 2000;Mishra et al, 2003). To remedy these data gaps, several models of the Blue Nile Basin that simulate the hydrological responses of extreme climate and environmental changes have been developed, including the work by Conway (1997), Tarekegn and Tadege (2005), Johnson and Curtis (1994), Kebede et al (2006), and others.…”

Section: Introductionmentioning

confidence: 99%

A simple semi‐distributed water balance model for the Ethiopian highlands

Collick

Easton

Ashagrie

et al. 2009

Hydrological Processes

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The discharge of the Nile River is highly dependent on the flow generated in the highlands of Ethiopia. However, little is known about the local (i.e. small scale) watershed hydrological response, due in part to a lack of long duration, continuous hydrological data. The goal of this paper was to develop a realistic, simple model that is useful as a tool for planning watershed management and conservation activities so that the effects of local interventions on stream flow can be predicted at a larger scale. The developed model is semi-distributed in that it divides the watershed into different regions that become hydrologically active given different amounts of effective cumulative rainfall after the start of the rainy season. A separate water balance is run for each of the hydrologic regions using rainfall and potential evaporation as the major inputs. Watershed parameters that were calibrated included the amount of water required before each region becomes hydrologically active, the fraction of soil water that becomes runoff and subsurface flow, and aquifer characteristics, Model validation indicated that daily discharge values were predicted reasonably well with Nash Sutcliffe values ranging from 0?56 to 0?78. Despite the large distance between the test watersheds, the input parameter values for the watershed characteristic were remarkably similar for the humid highlands, indicating that the model could be used to predict discharge in un-gauged basins in the region. As expected, the watershed in the semi-arid region behaved somewhat differently than the other three watersheds. Good quality precipitation data, even for short durations, were key to the effective modelling of runoff in the highland watersheds

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“…It has been found for numerous rivers in different hydrological regimes that b is less (Wittenberg, 1994(Wittenberg, , 1999Wittenberg and Sivapalan, 1999;Aksoy and Wittenberg, 2001;Mishra et al, 2003). For a fixed b, a characterizes the recession behavior of the falling limb.…”

Section: Recession Analysismentioning

confidence: 99%

Analysis of the runoff response of an alpine catchment at different scales

Zillgens

Merz

Kirnbauer

et al. 2007

Hydrol. Earth Syst. Sci.

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Abstract. To understand how hydrological processes are related across different spatial scales, 201 rainfall runoff events were examined in three nested catchments of the upper river Saalach in the Austrian Alps. The Saalach basin is a nested catchment covering different spatial scales, from the micro-scale (Limberg, 0.07 km 2 ), to the small-catchment scale (Rammern, 15.5 km 2 ), and the meso-scale (Viehhofen, 150 km 2 ). At these three scales two different event types could clearly be identified, depending on rainfall characteristics and initial baseflow level: (1) a unimodal event type with a quick rising and falling hydrograph, responding to short duration rainfall, and (2) a bimodal event type with a double peak hydrograph at the micro-scale and substantially increased flow values at the larger basins Rammern and Viehhofen, responding to long duration rainfall events. In all cases where a bimodal event was identified at the microscale, the hydrographs at the larger scales exhibited significantly attenuated recession behavior, quantified by recession constants. At all scales, the bimodal events are associated with considerably higher runoff volumes than the unimodal events. From the investigations at the headwater Limberg we came to the conclusion that the higher amount of runoff of bimodal events is due to the mobilization of subsurface flow processes. The analysis shows that the occurrence of the two event types is consistent over three orders of magnitude in area. This link between the scales means that the runoff behavior of the headwater may be used as an indicator of the runoff behavior of much larger areas.

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Recession flow analysis of the Blue Nile River

Cited by 20 publications

References 21 publications

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia¹

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia¹

A simple semi‐distributed water balance model for the Ethiopian highlands

Analysis of the runoff response of an alpine catchment at different scales

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Recession flow analysis of the Blue Nile River

Cited by 20 publications

References 21 publications

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia1

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia1

A simple semi‐distributed water balance model for the Ethiopian highlands

Analysis of the runoff response of an alpine catchment at different scales

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Product

Resources

About

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia¹

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia¹