MODSIM-based water allocation modeling of Awash River Basin, Ethiopia

Berhe, F.T.; Melesse, Assefa M.; Hailu, Dejene; Sileshi, Yilma

doi:10.1016/j.catena.2013.04.007

Cited by 66 publications

(45 citation statements)

References 7 publications

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“…The Awash River originates from the high plateau Ginchi of 3000 m.a.s.l, 80 km west of Addis Ababa and terminates, after travelling about 1200 km, at Lake Abe of 250 m.a.s.l., at the border of Ethiopia and Djibouti (Tessema, 2011;Berhe et al, 2013;Degefu et al, 2013). With extreme ranges of topography, vegetation, rainfall, temperature and soils, the basin extends from semi-desert lowlands to cold high mountain zones.…”

Section: Description Of the Study Areamentioning

confidence: 99%

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Evaluating water quality of Awash River using water quality index

Keraga¹,

Kiflie²,

Engida³

2017

Int. J. Water Res. Environ. Eng.

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Awash river has been impaired by various types of pollution owing to waste released from different socio-economic activities in its basin. This research was aimed at evaluating its quality status with respect to drinking and irrigation water uses. Based on accessibility and land use severity, 17 sample sites were chosen along the river and sampling was done twice in each of the dry and wet seasons. Thereafter, both onsite and offsite water quality analyses were undertaken following standard procedures. Canadian Council of Ministers of Environment Water Quality Index (CCME WQI) was applied to compute the water quality indices. Accordingly, the drinking and irrigation water quality indices of the upper basin were found to be 34.79 and 46.39 respectively, which were in the poor and marginal categories of the Canadian water quality ranking. Meanwhile, the respective indices for the middle/lower basin, which were 32.25 and 62.78, lie in the poor and fair ranges of the ranking. Although the difference in the dataset used for the two cases and natural purification in the course of the river might contribute to the difference in WQI, it is generally conceivable that the water quality of the river is below the good rank. Establishment of wastewater treatment plants and storm water quality management at hotspot areas are recommended to improve the quality.

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Section: Description Of the Study Areamentioning

confidence: 99%

“…Annual average temperature ranges from 16.7 to 29°C and the annual mean relative humidity in the basin varies from 60.2 to 49.7%. While the mean annual wind speed is 0.9 m/s, the mean annual rainfall varies from about 1600 mm at Ankober to 160 mm at Asayita (Berhe et al, 2013).…”

Section: Description Of the Study Areamentioning

confidence: 99%

Evaluating water quality of Awash River using water quality index

Keraga¹,

Kiflie²,

Engida³

2017

Int. J. Water Res. Environ. Eng.

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“…The March-May season is the main rainfall season yielding 100-200 mm per month, followed by a lesser rainfall season in October-December with 100 mm per month. More detail about the basin give Berhe et al (2013). …”

Section: Awash River Basinmentioning

confidence: 99%

“…Several problems arise from an unsatisfactory data basis. Almost no data is available to model the hydrological characteristics of the Gedabbesa swamp, which has high influence in the water allocation (Berhe et al, 2013).…”

Section: Setup Of the Parameterization-simulation-optimization Modelmentioning

confidence: 99%

“…Yibetal et al (2013) analysed the water audit of Awash Basin using WEAP model on the basis of three different scenarios (Expansion of irrigation area, improvement of irrigation and Climate change). Berhe et al (2013) assessed the water allocation for future development scenarios in a modelling study using MODSIM model (Labadie, 2007). However hydropower production is modelled on purely opportunistic basis, because releases from the reservoir respond only to irrigation demands.…”

Section: Introductionmentioning

confidence: 99%

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Towards an optimal integrated reservoir system management for the Awash River Basin, Ethiopia

2016

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Abstract.Recently, the Kessem-Tendaho project is completed to bring about socioeconomic development and growth in the Awash River Basin, Ethiopia. To support reservoir Koka, two new reservoirs where built together with extensive infrastructure for new irrigation projects. For best possible socioeconomic benefits under conflicting management goals, like energy production at three hydropower stations and basin wide water supply at various sites, an integrated reservoir system management is required. To satisfy the multi-purpose nature of the reservoir system, multi-objective parameterization-simulation-optimization model is applied. Different Paretooptimal trade-off solutions between water supply and hydro-power generation are provided for two scenarios (i) recent conditions and (ii) future planned increases for Tendaho and Upper Awash Irrigation projects. Reservoir performance is further assessed under (i) rule curves with a high degree of freedom -this allows for best performance, but may result in rules curves to variable for real word operation and (ii) smooth rule curves, obtained by artificial neuronal networks. The results show no performance penalty for smooth rule curves under future conditions but a notable penalty under recent conditions.

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