2018
DOI: 10.1007/s40808-018-0533-y
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Evaluation of SWAT performance in modeling nutrients of Awash River basin, Ethiopia

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Cited by 9 publications
(4 citation statements)
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“…In the highlands, the mean annual precipitation amounts to 1,600 mm, and only 160 mm in the northern part of the catchment (Edossa et al, 2010). Similarly, the mean annual air temperature exhibits a spatial variation from 16.7 to 34.5°C (Keraga et al, 2019). The drainage basin consists of two freshwater ecoregions: the Ethiopian Highlands and the Northern Eastern Rift (Abell et al, 2008).…”
Section: Study Area and Sampling Sitesmentioning
confidence: 99%
See 1 more Smart Citation
“…In the highlands, the mean annual precipitation amounts to 1,600 mm, and only 160 mm in the northern part of the catchment (Edossa et al, 2010). Similarly, the mean annual air temperature exhibits a spatial variation from 16.7 to 34.5°C (Keraga et al, 2019). The drainage basin consists of two freshwater ecoregions: the Ethiopian Highlands and the Northern Eastern Rift (Abell et al, 2008).…”
Section: Study Area and Sampling Sitesmentioning
confidence: 99%
“…The Awash River is under extreme human pressure. Deforestation, plantations of Eucalyptus and Prosopis, intensive agricultural use and overgrazing by livestock linked with high nutrient input and erosional processes, as well as industrial and domestic water pollution, are common (Degefu et al, 2013;Keraga et al, 2019). However, this affects mainly the highlands.…”
Section: Anthropogenic Impactsmentioning
confidence: 99%
“…The screening of the feasible in‐stream model was predicated on seven criteria (see Table 2). The criteria were prepared in view of the currently modeling experiences in the Awash basin and enabling an improvement in the future (Angello et al, 2021; Bussi et al, 2021; Keraga, 2019). The streams in the Awash basin are usually small and shallow, and the greatest water quality gradients generally occur along the flow axis, and thus, one‐dimensional (longitudinal) models that employ cross‐sectional averaging are appropriate for simulation.…”
Section: Findings Of Informational Data and Institutional Issues To S...mentioning
confidence: 99%
“…A SWAT-CUP sensitivity analysis (Arnold et al, 2012;Hosseini & Khaleghi, 2020) was done to identify which parameters had a meaningful effect on the predicted results of streamflow and sediment yield. Sensitivity analysis is a technique for determining the most crucial parameters for SWAT model calibration and validation (Dong, Xiong, Lall, & Wang, 2015;Keraga, Kiflie, & Engida, 2019).Commenly there are 27 parameters in SWAT, and they are grouped in six (groundwater, basin, sub-basin, main channel, HRU, and soil).…”
Section: Sensitivity Analysismentioning
confidence: 99%