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1

Meresa, Hadush K., and Mulusew T. Gatachew. "Climate change impact on river flow extremes in the Upper Blue Nile River basin." Journal of Water and Climate Change 10, no. 4 (2018): 759–81. http://dx.doi.org/10.2166/wcc.2018.154.

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Abstract This paper aims to study climate change impact on the hydrological extremes and projected precipitation extremes in far future (2071–2100) period in the Upper Blue Nile River basin (UBNRB). The changes in precipitation extremes were derived from the most recent AFROCORDEX climate data base projection scenarios compared to the reference period (1971–2000). The climate change impacts on the hydrological extremes were evaluated using three conceptual hydrological models: GR4 J, HBV, and HMETS; and two objective functions: NSE and LogNSE. These hydrological models are calibrated and valid
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2

Tabari, Hossein, Meron Teferi Taye, and Patrick Willems. "Statistical assessment of precipitation trends in the upper Blue Nile River basin." Stochastic Environmental Research and Risk Assessment 29, no. 7 (2015): 1751–61. http://dx.doi.org/10.1007/s00477-015-1046-0.

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3

Berhane, Fisseha, Benjamin Zaitchik, and Amin Dezfuli. "Subseasonal Analysis of Precipitation Variability in the Blue Nile River Basin." Journal of Climate 27, no. 1 (2014): 325–44. http://dx.doi.org/10.1175/jcli-d-13-00094.1.

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Abstract The Ethiopian portion of the Blue Nile River basin is subject to significant interannual variability in precipitation. As this variability has implications for local food security and transboundary water resources, numerous studies have been directed at improved understanding and, potentially, predictability of the Blue Nile rainy season (June–September) precipitation. Taken collectively, these studies present a wide range of large-scale drivers associated with precipitation variability in the Blue Nile: El Niño–Southern Oscillation (ENSO), the Indian summer monsoon, sea level pressur
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4

Zaroug, M. A. H., E. A. B. Eltahir, and F. Giorgi. "Droughts and floods over the upper catchment of the Blue Nile and their connections to the timing of El Niño and La Niña Events." Hydrology and Earth System Sciences Discussions 10, no. 8 (2013): 10971–95. http://dx.doi.org/10.5194/hessd-10-10971-2013.

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Abstract. The Blue Nile originates from Lake Tana in the Ethiopian Highland and contributes about 67% of the discharge in the main Nile River. Previous studies investigated the relationship of sea surface temperature (SST) in the Pacific Ocean (Nino 3.4 region) to occurrence of floods and droughts in rainfall and river flow over the Nile basin. In this paper we focus on the dependence of occurrence of droughts and floods in the upper catchment of the Blue Nile on the timing of El Niño and La Niña events. Different events start in different times of the year and follow each other exhibiting dif
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5

Tegegne, Getachew, Assefa M. Melesse, Dereje H. Asfaw, and Abeyou W. Worqlul. "Flood Frequency Analyses over Different Basin Scales in the Blue Nile River Basin, Ethiopia." Hydrology 7, no. 3 (2020): 44. http://dx.doi.org/10.3390/hydrology7030044.

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The frequency and intensity of flood quantiles and its attendant damage in agricultural establishments have generated a lot of issues in Ethiopia. Moreover, precise estimates of flood quantiles are needed for efficient design of hydraulic structures; however, quantification of these quantiles in data-scarce regions has been a continuing challenge in hydrologic design. Flood frequency analysis is thus essential to reduce possible flood damage by investigating the most suitable flood prediction model. The annual maximum discharges from six representative stations in the Upper Blue Nile River Bas
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6

Elzeiny, Radwa, Mossad Khadr, Shreen Zahran, and Ebrahim Rashwan. "Homogeneity Analysis of Rainfall Series in the Upper Blue Nile River Basin, Ethiopia." Journal of Engineering Research 3, no. 9 (2019): 46–53. http://dx.doi.org/10.21608/erjeng.2019.125704.

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7

Bokke, Andualem Shigute, Meron Teferi Taye, Patrick Willems, and Shimelis Asefu Siyoum. "Validation of General Climate Models (GCMs) over Upper Blue Nile River Basin, Ethiopia." Atmospheric and Climate Sciences 07, no. 01 (2017): 65–75. http://dx.doi.org/10.4236/acs.2017.71006.

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8

Asmamaw, Desale Kidane. "A critical review of integrated river basin management in the upper Blue Nile river basin: the case of Ethiopia." International Journal of River Basin Management 13, no. 4 (2015): 429–42. http://dx.doi.org/10.1080/15715124.2015.1013037.

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9

Dessie, M., N. E. C. Verhoest, V. R. N. Pauwels, et al. "Analyzing runoff processes through conceptual hydrological modeling in the Upper Blue Nile Basin, Ethiopia." Hydrology and Earth System Sciences 18, no. 12 (2014): 5149–67. http://dx.doi.org/10.5194/hess-18-5149-2014.

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Abstract. Understanding runoff processes in a basin is of paramount importance for the effective planning and management of water resources, in particular in data-scarce regions such as the Upper Blue Nile. Hydrological models representing the underlying hydrological processes can predict river discharges from ungauged catchments and allow for an understanding of the rainfall–runoff processes in those catchments. In this paper, such a conceptual process-based hydrological model is developed and applied to the upper Gumara and Gilgel Abay catchments (both located within the Upper Blue Nile Basi
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10

Dessie, M., N. E. C. Verhoest, V. R. N. Pauwels, et al. "Analyzing runoff processes through conceptual hydrological modelling in the Upper Blue Nile basin, Ethiopia." Hydrology and Earth System Sciences Discussions 11, no. 5 (2014): 5287–325. http://dx.doi.org/10.5194/hessd-11-5287-2014.

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Abstract. Understanding runoff processes in a basin is of paramount importance for the effective planning and management of water resources, in particular in data scarce regions of the Upper Blue Nile. Hydrological models representing the underlying hydrological processes can predict river discharges from ungauged catchments and allow for an understanding of the rainfall–runoff processes in those catchments. In this paper, such a conceptual process-based hydrological model is developed and applied to the upper Gumara and Gilgel Abay catchments (both located within the Upper Blue Nile basin, th
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11

Keshta, Eatemad, Mohamed A. Gad, and Doaa Amin. "A Long–Term Response-Based Rainfall-Runoff Hydrologic Model: Case Study of The Upper Blue Nile." Hydrology 6, no. 3 (2019): 69. http://dx.doi.org/10.3390/hydrology6030069.

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This study develops a response-based hydrologic model for long-term (continuous) rainfall-runoff simulations over the catchment areas of big rivers. The model overcomes the typical difficulties in estimating infiltration and evapotranspiration parameters using a modified version of the Soil Conservation Service curve number SCS-CN method. In addition, the model simulates the surface and groundwater hydrograph components using the response unit-hydrograph approach instead of using a linear reservoir routing approach for routing surface and groundwater to the basin outlet. The unit-responses are
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12

Mekonnen, Dagnenet Fenta, Zheng Duan, Tom Rientjes, and Markus Disse. "Analysis of combined and isolated effects of land-use and land-cover changes and climate change on the upper Blue Nile River basin's streamflow." Hydrology and Earth System Sciences 22, no. 12 (2018): 6187–207. http://dx.doi.org/10.5194/hess-22-6187-2018.

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Abstract. Understanding responses by changes in land use and land cover (LULC) and climate over the past decades on streamflow in the upper Blue Nile River basin is important for water management and water resource planning in the Nile basin at large. This study assesses the long-term trends of rainfall and streamflow and analyses the responses of steamflow to changes in LULC and climate in the upper Blue Nile River basin. Findings of the Mann–Kendall (MK) test indicate statistically insignificant increasing trends for basin-wide annual, monthly, and long rainy-season rainfall but no trend for
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13

Koukoula, Marika, Efthymios I. Nikolopoulos, Zoi Dokou, and Emmanouil N. Anagnostou. "Evaluation of Global Water Resources Reanalysis Products in the Upper Blue Nile River Basin." Journal of Hydrometeorology 21, no. 5 (2020): 935–52. http://dx.doi.org/10.1175/jhm-d-19-0233.1.

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AbstractWater resources reanalysis (WRR) can be used as a numerical tool to advance our understanding of hydrological processes where in situ observations are limited. However, WRR products are associated with uncertainty that needs to be quantified to improve usability of such products in water resources applications. In this study, we evaluate estimates of water cycle components from 18 state-of-the-art WRR datasets derived from different land surface/hydrological models, meteorological forcing, and precipitation datasets. The evaluation was conducted at three spatial scales in the upper Blu
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14

Abate, Mengiste, Jan Nyssen, Tammo S. Steenhuis, et al. "Morphological changes of Gumara River channel over 50 years, upper Blue Nile basin, Ethiopia." Journal of Hydrology 525 (June 2015): 152–64. http://dx.doi.org/10.1016/j.jhydrol.2015.03.044.

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15

Kim, Ungtae, and Jagath J. Kaluarachchi. "Climate Change Impacts on Water Resources in the Upper Blue Nile River Basin, Ethiopia1." JAWRA Journal of the American Water Resources Association 45, no. 6 (2009): 1361–78. http://dx.doi.org/10.1111/j.1752-1688.2009.00369.x.

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16

Betrie, G. D., Y. A. Mohamed, A. van Griensven, and R. Srinivasan. "Sediment management modelling in the Blue Nile Basin using SWAT model." Hydrology and Earth System Sciences 15, no. 3 (2011): 807–18. http://dx.doi.org/10.5194/hess-15-807-2011.

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Abstract. Soil erosion/sedimentation is an immense problem that has threatened water resources development in the Nile river basin, particularly in the Eastern Nile (Ethiopia, Sudan and Egypt). An insight into soil erosion/sedimentation mechanisms and mitigation methods plays an imperative role for the sustainable water resources development in the region. This paper presents daily sediment yield simulations in the Upper Blue Nile under different Best Management Practice (BMP) scenarios. Scenarios applied in this paper are (i) maintaining existing conditions, (ii) introducing filter strips, (i
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17

Block, Paul, and Balaji Rajagopalan. "Interannual Variability and Ensemble Forecast of Upper Blue Nile Basin Kiremt Season Precipitation." Journal of Hydrometeorology 8, no. 3 (2007): 327–43. http://dx.doi.org/10.1175/jhm580.1.

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Abstract Ethiopian agriculture and Nile River flows are heavily dependent upon the Kiremt season (June–September) precipitation in the upper Blue Nile basin, as a means of rain-fed irrigation and streamflow contribution, respectively. Climate diagnostics suggest that the El Niño–Southern Oscillation phenomenon is a main driver of interannual variability of seasonal precipitation in the basin. One-season (March–May) lead predictors of the seasonal precipitation are identified from the large-scale ocean–atmosphere–land system, including sea level pressures, sea surface temperatures, geopotential
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18

Fenta Mekonnen, Dagnenet, and Markus Disse. "Analyzing the future climate change of Upper Blue Nile River basin using statistical downscaling techniques." Hydrology and Earth System Sciences 22, no. 4 (2018): 2391–408. http://dx.doi.org/10.5194/hess-22-2391-2018.

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Abstract. Climate change is becoming one of the most threatening issues for the world today in terms of its global context and its response to environmental and socioeconomic drivers. However, large uncertainties between different general circulation models (GCMs) and coarse spatial resolutions make it difficult to use the outputs of GCMs directly, especially for sustainable water management at regional scale, which introduces the need for downscaling techniques using a multimodel approach. This study aims (i) to evaluate the comparative performance of two widely used statistical downscaling t
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19

Tariku, Tebikachew Betru, Thian Yew Gan, Jianfeng Li, and Xiaosheng Qin. "Impact of Climate Change on Hydrology and Hydrologic Extremes of Upper Blue Nile River Basin." Journal of Water Resources Planning and Management 147, no. 2 (2021): 04020104. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0001321.

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20

Mengistu, Daniel, Woldeamlak Bewket, Alessandro Dosio, and Hans-Juergen Panitz. "Climate change impacts on water resources in the Upper Blue Nile (Abay) River Basin, Ethiopia." Journal of Hydrology 592 (January 2021): 125614. http://dx.doi.org/10.1016/j.jhydrol.2020.125614.

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21

Kim, Ungtae, Jagath J. Kaluarachchi, and Vladimir U. Smakhtin. "Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia1." JAWRA Journal of the American Water Resources Association 44, no. 5 (2008): 1231–47. http://dx.doi.org/10.1111/j.1752-1688.2008.00220.x.

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22

Nigussie, Getenet, Mamaru A. Moges, Michael M. Moges, and Tammo S. Steenhuis. "Assessment of Suitable Land for Surface Irrigation in Ungauged Catchments: Blue Nile Basin, Ethiopia." Water 11, no. 7 (2019): 1465. http://dx.doi.org/10.3390/w11071465.

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Planning and decision making for new irrigation development projects requires the systematic assessment of irrigable land together with available water resources. The data required are usually not available in developing countries, and therefore a method was developed for quantifying surface water resources and potentially irrigable land in ungauged watersheds in the Upper Blue Nile Basin using Soil and Water Assessment Tool (SWAT) model and Multi-Criterion Decision Evaluation (MCDE). The method was tested using the Lah river basin in the Jabitenan district and then applied in the whole area,
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23

Moges, M. A., F. A. Zemale, M. L. Alemu, et al. "Sediment concentration rating curves for a monsoonal climate: upper Blue Nile Basin." SOIL Discussions 2, no. 2 (2015): 1419–48. http://dx.doi.org/10.5194/soild-2-1419-2015.

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Abstract. Information on sediment content in rivers is important for design of reservoirs and for environmental applications. Because of scarcity of continuous sediment data, methods have been developed to predict sediment loads based on few discontinuous measurements. Traditionally, loads are being predicted using rating curves that relate sediment load to discharge. The relationship assumes inherently a unique relationship between concentration and discharge and therefore although performing satisfactorily in predicting loads, it may be less suitable for predicting concentration. This is esp
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24

Kim, Ungtae, and Jagath J. Kaluarachchi. "Application of parameter estimation and regionalization methodologies to ungauged basins of the Upper Blue Nile River Basin, Ethiopia." Journal of Hydrology 362, no. 1-2 (2008): 39–56. http://dx.doi.org/10.1016/j.jhydrol.2008.08.016.

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25

Uhlenbrook, S., Y. Mohamed, and A. S. Gragne. "Analyzing catchment behavior through catchment modeling in the Gilgel Abay, Upper Blue Nile River Basin, Ethiopia." Hydrology and Earth System Sciences 14, no. 10 (2010): 2153–65. http://dx.doi.org/10.5194/hess-14-2153-2010.

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Abstract. Understanding catchment hydrological processes is essential for water resources management, in particular in data scarce regions. The Gilgel Abay catchment (a major tributary into Lake Tana, source of the Blue Nile) is undergoing intensive plans for water management, which is part of larger development plans in the Blue Nile basin in Ethiopia. To obtain a better understanding of the water balance dynamics and runoff generation mechanisms and to evaluate model transferability, catchment modeling has been conducted using the conceptual hydrological model HBV. Accordingly, the catchment
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26

Goor, Q., C. Halleux, Y. Mohamed, and A. Tilmant. "Optimal operation of a multipurpose multireservoir system in the Eastern Nile River Basin." Hydrology and Earth System Sciences 14, no. 10 (2010): 1895–908. http://dx.doi.org/10.5194/hess-14-1895-2010.

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Abstract. The upper Blue Nile River Basin in Ethiopia is a largely untapped resource despite its huge potential for hydropower generation and irrigated agriculture. Controversies exist as to whether the numerous infrastructural development projects that are on the drawing board in Ethiopia will generate positive or negative externalities downstream in Sudan and Egypt. This study attempts at (1) examining the (re-)operation of infrastructures, in particular the proposed reservoirs in Ethiopia and the High Aswan Dam and (2) assessing the economic benefits and costs associated with the storage in
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27

Goor, Q., C. Halleux, Y. Mohamed, and A. Tilmant. "Optimal operation of a multipurpose multireservoir system in the Eastern Nile River Basin." Hydrology and Earth System Sciences Discussions 7, no. 4 (2010): 4331–69. http://dx.doi.org/10.5194/hessd-7-4331-2010.

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Abstract. The upper Blue Nile River Basin in Ethiopia is a largely untapped resource despite its huge potential for hydropower generation and irrigated agriculture. Controversies exist as to whether the numerous infrastructural development projects that are on the drawing board in Ethiopia will generate positive or negative externalities downstream in Sudan and Egypt. This study attempts at 1) examining the (re-)operation of infrastructures, in particular the proposed reservoirs in Ethiopia and the High Aswan Dam and 2) assessing the economic benefits and costs associated with the storage infr
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28

Khadr, Mosaad. "Temporal and spatial analysis of meteorological drought characteristics in the upper Blue Nile river region." Hydrology Research 48, no. 1 (2016): 265–76. http://dx.doi.org/10.2166/nh.2016.194.

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Drought is a costly natural hazard affecting socio-economic activity and agricultural livelihoods, as well as adversely impacting public health and threatening the sustainability of many natural environments. This study was carried out to characterize the temporal and spatial characteristics of meteorological drought in the upper Blue Nile basin to provide a framework for sustainable water resources management. Analysis of historical droughts was undertaken by converting observed monthly precipitation records (1960–2008), for 22 meteorological stations, to the standardized precipitation index
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29

Mengistu, Daniel, Woldeamlak Bewket, and Rattan Lal. "Recent spatiotemporal temperature and rainfall variability and trends over the Upper Blue Nile River Basin, Ethiopia." International Journal of Climatology 34, no. 7 (2013): 2278–92. http://dx.doi.org/10.1002/joc.3837.

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30

Ayele, Gebiaw, Engidasew Teshale, Bofu Yu, Ian Rutherfurd, and Jaehak Jeong. "Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia." Water 9, no. 10 (2017): 782. http://dx.doi.org/10.3390/w9100782.

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Inappropriate use of land and poor ecosystem management have accelerated land degradation and reduced the storage capacity of reservoirs. To mitigate the effect of the increased sediment yield, it is important to identify erosion-prone areas in a 287 km2 catchment in Ethiopia. The objectives of this study were to: (1) assess the spatial variability of sediment yield; (2) quantify the amount of sediment delivered into the reservoir; and (3) prioritize sub-catchments for watershed management using the Soil and Water Assessment Tool (SWAT). The SWAT model was calibrated and validated using SUFI-2
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31

Mohamed, Y. A., B. J. J. M. van den Hurk, H. H. G. Savenije, and W. G. M. Bastiaanssen. "Hydroclimatology of the Nile: results from a regional climate model." Hydrology and Earth System Sciences 9, no. 3 (2005): 263–78. http://dx.doi.org/10.5194/hess-9-263-2005.

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Abstract. This paper presents the result of the regional coupled climatic and hydrologic model of the Nile Basin. For the first time the interaction between the climatic processes and the hydrological processes on the land surface have been fully coupled. The hydrological model is driven by the rainfall and the energy available for evaporation generated in the climate model, and the runoff generated in the catchment is again routed over the wetlands of the Nile to supply moisture for atmospheric feedback. The results obtained are quite satisfactory given the extremely low runoff coefficients i
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32

Bayissa, Yared, Semu Moges, Assefa Melesse, Tsegaye Tadesse, Anteneh Z. Abiy, and Abeyou Worqlul. "Multi-Dimensional Drought Assessment in Abbay/Upper Blue Nile Basin: The Importance of Shared Management and Regional Coordination Efforts for Mitigation." Remote Sensing 13, no. 9 (2021): 1835. http://dx.doi.org/10.3390/rs13091835.

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Drought is one of the least understood and complex natural hazards often characterized by a significant decrease in water availability for a prolonged period. It can be manifested in one or more forms as meteorological, agricultural, hydrological, and/or socio-economic drought. The overarching objective of this study is to demonstrate and characterize the different forms of droughts and to assess the multidimensional nature of drought in the Abbay/ Upper Blue Nile River (UBN) basin and its national and regional scale implications. In this study, multiple drought indices derived from in situ an
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33

Samy, Abeer, Mona G. Ibrahim, Wael Elham Mahmod, Manabu Fujii, Amr Eltawil, and Waled Daoud. "Statistical Assessment of Rainfall Characteristics in Upper Blue Nile Basin over the Period from 1953 to 2014." Water 11, no. 3 (2019): 468. http://dx.doi.org/10.3390/w11030468.

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Investigating the trends of hydro-meteorological variables and checking its variability are of great importance for water resources management and development in the River Nile basin. The present study aimed to analyze the rainfall variability and trends in the Upper Blue Nile Basin (UBNB) over a period from 1953 to 2014. Variability analysis showed that the basin has been suffering from variable rainfall events causing severe droughts and floods over different years. According to precipitation concentration index calculations, the basin had irregular and strong irregular rainfall distribution
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34

Moges, Mamaru A., Fasikaw A. Zemale, Muluken L. Alemu, et al. "Sediment concentration rating curves for a monsoonal climate: upper Blue Nile." SOIL 2, no. 3 (2016): 337–49. http://dx.doi.org/10.5194/soil-2-337-2016.

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Abstract. Information on sediment concentration in rivers is important for design of reservoirs and for environmental applications. Because of the scarcity of continuous sediment data, methods have been developed to predict sediment loads based on few discontinuous measurements. Traditionally, loads are being predicted using rating curves that relate sediment load to discharge. The relationship assumes inherently a unique relationship between concentration and discharge and therefore although performing satisfactorily in predicting loads, it may be less suitable for predicting concentration. T
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35

Getachew, Birhan, B. R. Manjunatha, and H. Gangadhara Bhat. "Spatio-temporal distribution of aerosol optical depth and cloud properties over Lake Tana Basin, Upper Blue Nile River Basin, Ethiopia." Remote Sensing Applications: Society and Environment 20 (November 2020): 100401. http://dx.doi.org/10.1016/j.rsase.2020.100401.

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36

Dile, Yihun Taddele, Ronny Berndtsson, and Shimelis G. Setegn. "Hydrological Response to Climate Change for Gilgel Abay River, in the Lake Tana Basin - Upper Blue Nile Basin of Ethiopia." PLoS ONE 8, no. 10 (2013): e79296. http://dx.doi.org/10.1371/journal.pone.0079296.

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37

Abiye, Tamiru Alemayehu, and Seifu Kebede. "The role of geodiversity on the groundwater resource potential in the upper Blue Nile River Basin, Ethiopia." Environmental Earth Sciences 64, no. 5 (2011): 1283–91. http://dx.doi.org/10.1007/s12665-011-0946-7.

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38

Khadr, Mosaad. "Forecasting of meteorological drought using Hidden Markov Model (case study: The upper Blue Nile river basin, Ethiopia)." Ain Shams Engineering Journal 7, no. 1 (2016): 47–56. http://dx.doi.org/10.1016/j.asej.2015.11.005.

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39

Haile, A. T., T. H. M. Rientjes, E. Habib, V. Jetten, and M. Gebremichael. "Rain event properties at the source of the Blue Nile River." Hydrology and Earth System Sciences 15, no. 3 (2011): 1023–34. http://dx.doi.org/10.5194/hess-15-1023-2011.

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Abstract. In the present study, spatial and temporal patterns of rain event properties are analysed. These event properties are rain event depth, event duration, mean event rain rate, peak rain rate and the time span between two consecutive rain events which is referred to as inter-event time (IET). In addition, we assessed how rain event properties change when the period over which rainfall data is aggregated changes from 1 to 6 min and when the minimum inter-event time (MIT) changes from 30 min to 8 h. Rainfall data is obtained from a field campaign in two wet seasons of June–August (JJA) of
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40

Taye, Mintesinot, Belay Simane, Benjamin F. Zaitchik, Yihenew G. Selassie, and Shimelis Setegn. "Land Use Evaluation over the Jema Watershed, in the Upper Blue Nile River Basin, Northwestern Highlands of Ethiopia." Land 8, no. 3 (2019): 50. http://dx.doi.org/10.3390/land8030050.

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Generating land capability class guidelines at a watershed scale has become a priority in sustainable agricultural land use. This study analyzed the area of cultivated land use situated on the non-arable land-capability class in the Jema watershed in the Upper Blue Nile River Basin. Soil surveys, meteorological ground observations, a digital elevation model (DEM) at 30 m, Meteosat at 10 km × 10 km and Landsat at 30 m were used to generate the sample soil texture class, average annual total rainfall (ATRF in mm), terrain, slope (%), elevation (m a.s.l) and land-use land cover (%). The land capa
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41

Allam, Mariam M., Anjuli Jain Figueroa, Dennis B. McLaughlin, and Elfatih A. B. Eltahir. "Estimation of evaporation over the upper Blue Nile basin by combining observations from satellites and river flow gauges." Water Resources Research 52, no. 2 (2016): 644–59. http://dx.doi.org/10.1002/2015wr017251.

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42

Ewunetu, Alelgn, Belay Simane, Ermias Teferi, and Benjamin F. Zaitchik. "Mapping and Quantifying Comprehensive Land Degradation Status Using Spatial Multicriteria Evaluation Technique in the Headwaters Area of Upper Blue Nile River." Sustainability 13, no. 4 (2021): 2244. http://dx.doi.org/10.3390/su13042244.

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Mapping and quantifying land degradation status is important for identifying vulnerable areas and to design sustainable landscape management. This study maps and quantifies land degradation status in the north Gojjam sub-basin of the Upper Blue Nile River (Abbay) using GIS and remote sensing integrated with multicriteria analysis (MCA). This is accomplished using a combination of biological, physical, and chemical land degradation indicators to generate a comprehensive land degradation assessment. All indicators were standardized and weighted using analytical hierarchy and pairwise comparison
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43

Yitbarek, Andarge, Moumtaz Razack, Tenalem Ayenew, Engida Zemedagegnehu, and Tilahun Azagegn. "Hydrogeological and hydrochemical framework of Upper Awash River basin, Ethiopia: With special emphasis on inter-basins groundwater transfer between Blue Nile and Awash Rivers." Journal of African Earth Sciences 65 (April 2012): 46–60. http://dx.doi.org/10.1016/j.jafrearsci.2012.01.002.

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44

Abebe, Sintayehu A., Tianling Qin, Denghua Yan, et al. "Spatial and Temporal Evaluation of the Latest High-Resolution Precipitation Products over the Upper Blue Nile River Basin, Ethiopia." Water 12, no. 11 (2020): 3072. http://dx.doi.org/10.3390/w12113072.

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Quality and representative precipitation data play an essential role in hydro-meteorological analyses. However, the required reliability and coverage is often unavailable from conventional gauge observations. As a result, globally available precipitation datasets are being used as an alternative or supplementary to gauge observations. In this study, the accuracy of three recently released, high-resolution precipitation datasets with a spatial resolution of 0.1° and a daily temporal resolution is evaluated over the Upper Blue Nile River Basin (UBNRB) for the period of 2007 to 2016. The datasets
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45

Tigabu, Tibebe B., Paul D. Wagner, Georg Hörmann, and Nicola Fohrer. "Modeling the spatio-temporal flow dynamics of groundwater-surface water interactions of the Lake Tana Basin, Upper Blue Nile, Ethiopia." Hydrology Research 51, no. 6 (2020): 1537–59. http://dx.doi.org/10.2166/nh.2020.046.

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Abstract The Ethiopian government has selected Lake Tana basin as a development corridor due to its water resources potential. However, combined use of groundwater (GW) and surface water (SW) is still inadequate due to knowledge gaps about the flow dynamics of GW and SW. Mostly, there is no information about groundwater use. Therefore, this study aims to investigate the dynamics of GW-SW interactions on a spatio-temporal basis in three of the main catchments (Gilgelabay, Gumara and Ribb) that drain into Lake Tana. To this end, the SWAT-MODFLOW model, which is an integration of SWAT (Soil and W
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46

Teferi, E., S. Uhlenbrook, W. Bewket, J. Wenninger, and B. Simane. "The use of remote sensing to quantify wetland loss in the Choke Mountain range, Upper Blue Nile basin, Ethiopia." Hydrology and Earth System Sciences 14, no. 12 (2010): 2415–28. http://dx.doi.org/10.5194/hess-14-2415-2010.

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Abstract. Wetlands provide multiple ecosystem services such as storing and regulating water flows and water quality, providing unique habitats to flora and fauna, and regulating micro-climatic conditions. Conversion of wetlands for agricultural use is a widespread practice in Ethiopia, particularly in the southwestern part where wetlands cover large areas. Although there are many studies on land cover and land use changes in this region, comprehensive studies on wetlands are still missing. Hence, extent and rate of wetland loss at regional scales is unknown. The objective of this paper is to q
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47

Teferi, E., S. Uhlenbrook, W. Bewket, J. Wenninger, and B. Simane. "The use of remote sensing to quantify wetland loss in the Choke Mountain range, Upper Blue Nile basin, Ethiopia." Hydrology and Earth System Sciences Discussions 7, no. 4 (2010): 6243–84. http://dx.doi.org/10.5194/hessd-7-6243-2010.

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Abstract. Wetlands provide multiple ecosystem services such as storing and regulating water flows and water quality, providing unique habitats to flora and fauna, and regulating micro-climatic conditions. Conversion of wetlands for agricultural use is a widespread practice in Ethiopia, particularly in the southwestern part where wetlands cover large areas. Although there are many studies on land cover and land use changes in this region, comprehensive studies on wetlands are still missing. Hence, extent and rate of wetland loss at regional scale is unknown. The objective of this paper is to qu
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48

Ebrahim, Girma Yimer, Andreja Jonoski, Ann van Griensven, and Giuliano Di Baldassarre. "Downscaling technique uncertainty in assessing hydrological impact of climate change in the Upper Beles River Basin, Ethiopia." Hydrology Research 44, no. 2 (2012): 377–98. http://dx.doi.org/10.2166/nh.2012.037.

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We investigate the uncertainty associated with downscaling techniques in climate impact studies, using the Upper Beles River Basin (Upper Blue Nile) in Ethiopia as an example. The main aim of the study is to estimate the two sources of uncertainty in downscaling models: (1) epistemic uncertainty and (2) stochastic uncertainty due to inherent variability. The first aim was achieved by driving a Hydrologic Engineering Centre-Hydrological Modelling System (HEC-HMS) model with downscaled daily precipitation and temperature using three downscaling models: Statistical Downscaling Model (SDSM), the L
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Yenehun, Alemu, Mekete Dessie, Mulugeta Azeze, et al. "Water Resources Studies in Headwaters of the Blue Nile Basin: A Review with Emphasis on Lake Water Balance and Hydrogeological Characterization." Water 13, no. 11 (2021): 1469. http://dx.doi.org/10.3390/w13111469.

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The Lake Tana Basin, comprising the largest natural lake in Ethiopia, is the source and the uppermost part of the Upper Blue Nile Basin. In this review paper, research papers, mainly on the rainfall-runoff modeling and lake water balance, and on the hydrogeology, have been reviewed. The earlier water balance estimation attempts used simple conceptual and statistical approaches and calculate on a monthly timescale. More recent research has been using advanced semi-physically or physically based distributed hydrological models. Accordingly, mean annual precipitation over the lake was estimated i
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Tegegne, Getachew, Dong Kwan Park, and Young-Oh Kim. "Comparison of hydrological models for the assessment of water resources in a data-scarce region, the Upper Blue Nile River Basin." Journal of Hydrology: Regional Studies 14 (December 2017): 49–66. http://dx.doi.org/10.1016/j.ejrh.2017.10.002.

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