Výsledky vyhledávání - "Dinka Megersa Olumana"

Akademický článek

Spatial variability and dynamics of soil pH, soil organic carbon and matter content: The case of the Wonji Shoa sugarcane plantation

Autor: Dinka Megersa Olumana, Dawit Meseret

Publikováno v: Journal of Water and Land Development, Vol 42, Iss 1, Pp 59-66 (2019)

This study presents the spatial variability and dynamics of soil organic carbon (SOC), soil organic matter (SOM) and soil pH contents at the Wonji Shoa Sugar Estate (WSSE), Ethiopia. Soil samples were collected immediately after the sugarcane was har

Externí odkaz: https://doaj.org/article/467d6fe25b0142928c7b1cc18fd6b4e0

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Akademický článek

Groundwater property and composition variability under long-term irrigated area of Wonji Plain, Ethiopia

Autor: Dinka Megersa Olumana

Publikováno v: Journal of Water and Land Development, Vol 41, Iss 1, Pp 37-46 (2019)

Wonji Shoa Sugar Estate (WSSE), located in the flood plain of the Awash River (Ethiopia), has been under long-term (>60 years) irrigation, industrial activities and agro-chemical usage. In this study, the hydrochemical properties of groundwater bodie

Externí odkaz: https://doaj.org/article/f58379ecbfad441a9860ab04a7694c02

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Akademický článek

Analysis of land use/land cover change in Adei watershed, Central Highlands of Ethiopia

Autor: Dinka Megersa Olumana, Chaka Degefa Dhuga

Publikováno v: Journal of Water and Land Development, Vol 41, Iss 1, Pp 146-153 (2019)

Land use/land cover changes (LULCC) at Adei watershed (Ethiopia) over a period of 23 years (1986–2009) has been analysed from LANDSAT imagery and ancillary data. The patterns (magnitude and direction) of LULCC were quantified and the final land use

Externí odkaz: https://doaj.org/article/ffac5335601a45058eeda205193ea716

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Akademický článek

Application of SARIMA model to forecasting monthly flows in Waterval River, South Africa

Autor: Tadesse Kassahun Birhanu, Dinka Megersa Olumana

Publikováno v: Journal of Water and Land Development, Vol 35, Iss 1, Pp 229-236 (2017)

Knowledge of future river flow information is fundamental for development and management of a river system. In this study, Waterval River flow was forecasted by SARIMA model using GRETL statistical software. Mean monthly flows from 1960 to 2016 were

Externí odkaz: https://doaj.org/article/6291a87fa6884f308605c642be3edf59

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