Blar i NTNU Open på forfatter "Gragne, Ashenafi Seifu"
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A regionalisation technique for urban ungauged catchments - A case study from Norway
MIttet, Jonas (Master thesis, 2017)Accurate estimation of rainfall-runoff in an urban area is essential for flood disaster prevention and control. A Storm Water Management Model was therefore applied to four small urban catchments in Damsgård, Bergen, Norway. ... -
Assessing the effects of four SUDS scenarios on combined sewer overflows in Oslo, Norway: evaluating the low-impact development module of the mike urban model
Hernes, Ragni Rønneberg; Gragne, Ashenafi Seifu; Hassan Abdalla, Elhadi Mohsen; Braskerud, Bent C.; Alfredsen, Knut; Muthanna, Tone Merete (Peer reviewed; Journal article, 2020)Paved surfaces, increased precipitation intensities in addition to limited capacity in the sewer systems, cause a higher risk of combined sewer overflows (CSOs). Sustainable drainage systems (SUDS) offer an alternative ... -
Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework
Gragne, Ashenafi Seifu; Sharma, Ashish; Mehrotra, R; Alfredsen, Knut (Journal article; Peer reviewed, 2015)Accuracy of reservoir inflow forecasts is instrumental for maximizing the value of water resources and benefits gained through hydropower generation. Improving hourly reservoir inflow forecasts over a 24 h lead time ... -
Modelling green roof detention performance in cold climates
Russwurm, Ingrid L.; Johannessen, Birgitte Gisvold; Gragne, Ashenafi Seifu; Lohne, Jardar; Muthanna, Tone Merete; Fridthjofsdottir, Elin Greta (Journal article, 2018)Green roofs (GRs) have become a popular sustainable drainage system (SuDS) technology in urban areas. As many countries and regions experience political encouragement and substitution schemes in implementing GRs, there is ... -
Updating Hydrologic Models for Improved Inflow Forecasts into Hydropower Reservoirs
Gragne, Ashenafi Seifu (Doctoral thesis at NTNU;2015:57, Doctoral thesis, 2015)The consumption of electricity is growing to record levels due to population growth and the global economic prosperity. The electricity generation projection for 2040 is that 25% of the global electricity generation will ...