Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Habtamu Tamiru"'
Autor:
Dessalegn Obsi Gemeda, Béchir Bejaoui, Nasser Farhat, Indale Niguse Dejene, Soreti Fufa Eticha, Tadelu Girma, Tadesse Mosissa Ejeta, Gamachu Biftu Jabana, Gadise Edilu Tufa, Marta Hailemariam Mamo, Zera Kedir Alo, Fedhasa Benti Chalchisa, Jale Amanuel, Getachew Abeshu Disassa, Diribe Makonene Kumsa, Lidiya Dereje Mekonen, Elfenesh Muleta Beyene, Gudetu Wakgari Bortola, Meseret Wagari, Ayantu Habtamu Nemera, Habtamu Tamiru, Dereje Hinew Dehu, Hasen M. Yusuf, Diriba Diba, Solomon Tulu Tadesse, Mitiku Badasa Moisa
Publikováno v:
Water, Vol 16, Iss 21, p 3143 (2024)
Analyzing agricultural and hydrological drought at different timescales is essential for designing adaptation strategies. This study aimed to assess agricultural and hydrological drought in the Abbay Basin of Ethiopia by using multiple indices, namel
Externí odkaz:
https://doaj.org/article/7dc95f1b24044768acbd26a46bc5b17d
Autor:
Nichole Starr, Mengistu Ayehu, Alex Zhuang, Habtamu Tamiru Minalu, Genet Kifle Alemu, Samuel Fisseha, Sisay Chekol, Aklile Habtemariam, Makida Hadis, Biruh Alemtsehay, Minale Mengiste, Ashenafi Kefeni Bori
Publikováno v:
Trauma Surgery & Acute Care Open, Vol 9, Iss 1 (2024)
Background Injury is a major cause of death and disability in Ethiopia. ALERT Hospital, one of only three designated trauma centers in the country, has employed a basic trauma registry since its inception in 2016; however, these data had not been use
Externí odkaz:
https://doaj.org/article/b1023df5d0a84dd0bc8bc658f272e82f
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:
Heliyon, Vol 8, Iss 7, Pp e09858- (2022)
A lack of suitable dumping sites in a town or city can have an impact on the health of the residents as well as the quality of the urban environment. There are no identified dumping sites in this study area that meet scientific or urban standards. Re
Externí odkaz:
https://doaj.org/article/230a258ed050475d84390ce0bf137de9
Publikováno v:
Air, Soil and Water Research, Vol 15 (2022)
In this paper, the performance of Artificial Intelligence (AI) in Geospatial analysis and GIS platforms for the prospecting of potential groundwater zones was evaluated in Fincha catchment, Abay, Ethiopia. Components of geospatial data under morphome
Externí odkaz:
https://doaj.org/article/0a8a5b20a1a04e58aaeff3fe04399699
Autor:
Habtamu Tamiru, Meseret Wagari
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 37, Iss , Pp 100902- (2021)
Study region: Fincha Catchment, Abay Basin, Ethiopia. Study focus: The study evaluates the performance of the data-driven (ANN) model and GIS technique for the exploration of groundwater potential zones. Lineament density, drainage density, slope, LU
Externí odkaz:
https://doaj.org/article/ced6e4b15e1c429d9094a0dc13947fed
Autor:
Meseret Wagari, Habtamu Tamiru
Publikováno v:
Air, Soil and Water Research, Vol 14 (2021)
In this study, Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) platforms were successfully applied to quantify the annual soil loss for the protection of soil erosion in Fincha catchment, Ethiopia. The key p
Externí odkaz:
https://doaj.org/article/4d7f992caedb45d4ad63de269ef44004
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
Autor:
Habtamu Tamiru, Meseret Wagari
Publikováno v:
Geocarto International. 37:6736-6754
In this article, the novelty of Artificial Neural Networks (ANN) model and GIS platform for the delineation of groundwater potential zones were compared in Fincha Catchment, Abay Basin, Ethiopia. L...