Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Megersa O. Dinka"'
Autor:
Simeneh S. Moges, Megersa O. Dinka
Publikováno v:
Journal of Water and Land Development, Iss No 58, Pp 189-197 (2023)
The present study aims at evaluating the quality of shallow groundwater (SGW) and its suitability for irrigation purpose in the most urbanised part of Johannesburg city, South Africa. The SGW samples were collected in three consecutive years and anal
Externí odkaz:
https://doaj.org/article/40e502ad93b9433494886402cc1cf693
Autor:
Habtamu Tamiru, Megersa O. Dinka
Publikováno v:
Journal of Water and Land Development, Iss No 58, Pp 198-211 (2023)
This paper presents a study conducted using the Multi-Criteria Analysis (MCA) to explore surface irrigation potential zones in the Didesa sub-basin of the Abay basin in Ethiopia. Physical land features, such as land use / land cover (LULC), slope, so
Externí odkaz:
https://doaj.org/article/85738c9817c0495cbe2842be38a6611c
Publikováno v:
Journal of Water and Climate Change, Vol 12, Iss 1, Pp 250-264 (2021)
This study used the Soil and Water Assessment Tool (SWAT) model together with regional climate downscaled (RCD) data from the CORDEX (Africa project), to assess the local seasonal precipitation variability in the upper middle catchment (UMC) of the O
Externí odkaz:
https://doaj.org/article/ed0f89ffa8fb443ca1ad65ce44df99e0
Autor:
Habtamu Tamiru, Megersa O. Dinka
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 36, Iss , Pp 100855- (2021)
Study region: Lower Baro River, Ethiopia. Study focus: This paper presents the novelty of ANN and HEC-RAS model for flood inundation mapping in lower Baro Akobo Basin River, Ethiopia. ANN and HEC-RAS model is applied and successfully improves the acc
Externí odkaz:
https://doaj.org/article/fbe787f977f34da289cb42bbd9bcdba9
Autor:
Habtamu Tamiru, Megersa O. Dinka
Publikováno v:
The Scientific World Journal, Vol 2021 (2021)
This study presents the novelty artificial intelligence in geospatial analysis for flood vulnerability assessment in Dire Dawa, Ethiopia. Flood-causing factors such as rainfall, slope, LULC, elevation NDVI, TWI, SAVI, K-factor, R-factor, river distan
Externí odkaz:
https://doaj.org/article/bc8d325d85bc415a9cebcd8e21bc4ce5
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 983:012072
In river basins such as the Olifants, the evapotranspiration has been documented as the biggest water user and therefore one of the most important hydrological processes in the basin. Thus, using the Soil and Water Assessment Tool (SWAT) model, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5529ca1a24e5860971a994700882e5a2
https://doi.org/10.1088/1755-1315/983/1/012072
https://doi.org/10.1088/1755-1315/983/1/012072
Autor:
Connie O'Driscoll, Raymond Brennan, Megersa O. Dinka, José Manuel López Guede, Mohamed Gar Alalm, Florentina Magda Enescu, Gheorghe Grigoras, Guadalupe Flores Salado, Nicu Bizon
Publikováno v:
2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
The water companies should provide services at the affordable tariffs for all people, irrespective of the water source, geographical area, size or complexity of water supply system. In order to contribute to the sustainability of water distribution i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9c8e303ffc1c94fba95e6e07fbfc00d
https://doi.org/10.1109/ecai.2018.8679012
https://doi.org/10.1109/ecai.2018.8679012
Autor:
German K. Nkhonjera, Megersa O. Dinka
Publikováno v:
IOP Conference Series: Earth & Environmental Science; Apr2020, Vol. 467 Issue 1, p1-1, 1p