2018
DOI: 10.1016/j.jhydrol.2018.03.042
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Advances in water resources research in the Upper Blue Nile basin and the way forward: A review

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Cited by 75 publications
(27 citation statements)
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“…Lake Tana is the largest freshwater lake in Ethiopia, and it is the source of the Upper Blue Nile River. The Upper Blue Nile River contributes more than 50% of annual streamflow to the Nile River [24,25]. Lake Tana has a catchment area of 15,000 km 2 , out of which the lake covers 20%.…”
Section: Study Areamentioning
confidence: 99%
“…Lake Tana is the largest freshwater lake in Ethiopia, and it is the source of the Upper Blue Nile River. The Upper Blue Nile River contributes more than 50% of annual streamflow to the Nile River [24,25]. Lake Tana has a catchment area of 15,000 km 2 , out of which the lake covers 20%.…”
Section: Study Areamentioning
confidence: 99%
“…The desired positive outcome from mechanical SWC is much less evident in non-drought prone regions in Ethiopia (Mekuriaw et al, 2018). Limited experimental research stations such as Anjeni, Andit Tid, Awramba, Maybar, and Debre Mawi catchments prevent our understanding of appropriate SWC measures in the basin (Dile et al, 2018). Thus, expanding efforts in evaluating the performance of SWC practices in projects such as TBIWRDP therefore has important implications for monitoring and upscaling SWC practices regionally.…”
Section: Stream Discharge Monitoringmentioning
confidence: 99%
“…Market‐based approaches apply a price to SWC practices, using techniques such as 'environmental accounting' (Veiga, Calvache, & Benitez, 2015; Weber, 2018) or 'beneficiary pays' schemes (Boisvert, Méral, & Froger, 2013) that depend fundamentally on evaluating the effectiveness and monetary value of SWC implementation. Although market‐based approaches may be essential to upscaling SWC, missing, incomplete or low quality monitoring of SWC performance remains a pervasive barrier to their adoption (Dile et al, 2018; Kassie, Köhlin, Bluffstone, & Holden, 2011; MEA, 2005; Mekuriaw, Heinimann, Zeleke, & Hurni, 2018; Zimale et al, 2017) and upscaling (Naeem et al, 2015). One approach to lowering this barrier is to make better use of existing datasets, including simple or incomplete datasets, to evaluate SWC interventions.…”
Section: Introductionmentioning
confidence: 99%
“…This is primarily due to the increased population and the need for more farmlands and/or animal grazing [6]. Agricultural practices in most parts of the country are rainfed, and water scarcity is rampant during most of the months while runoff and erosion are common during the short rainy monsoon period [7]. Since hydrological, climate, and soil data are scarcely available in the region, land and water management efforts rely on model simulations to understand hydrological processes by fitting discharge and sediment yield at watershed outlets [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%