Mulualem Asfaw Ejegu
MSc in Geo-Information Science, Department Geography and Environmental Studies, Debre Tabor University, P.O. Box 272, Debre Tabor, Ethiopia.

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Potential rainwater harvesting suitable land selection and management by using GIS with MCDA in Ebenat District, Northwestern Ethiopia Mulualem Asfaw Ejegu; Endalkachew Sisay Yegizaw
Journal of Degraded and Mining Lands Management Vol 8, No 1 (2020)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2020.081.2537

Abstract

Rainwater harvesting (RWH) is the way to reduce the effects of mid-season dry spells and drought, which often reduce crop yields. Geographic information system (GIS) with multi-criteria decision making (MCDA) is a powerful tool to identify and solve spatial problems like the identification of the suitable site of RWH. Sentinel image, soil, metrological row data, geological data, and digital elevation model (DEM) data were the source of a dataset to undertake the preprocessing, manipulation, and analysis the suitable site identification by using GIS and remote sensing spatial analysis. More than seven parameters where identified based on an extensive literature review which is land use/land-cover, soil textural, rainfall, lineament, slope, runoff density and curve number, distance from settlement and road. The multi-criteria decision-making method was used for weight value estimation of each criterion and finally, the rainwater harvesting suitability map was generated. The potentially suitable site was grouped into four levels of suitability, which accounts in hectare 3,620, 16,0618, 69,867, and 14,010 ha of highly suitable, moderately suitable, less suitable, and restricted respectively from the total area coverage of 248,115 ha respectively.
Modeling soil erosion susceptibility and LULC dynamics for land degradation management using geoinformation technology in Debre Tabor district, Northwestern highlands of Ethiopia Mulualem Asfaw Ejegu; Endalkachew Sisay Yegizaw
Journal of Degraded and Mining Lands Management Vol 8, No 2 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.082.2623

Abstract

Land degradation manifested in landscape change is triggered by soil erosion and it is a thoughtful environmental threat. Nationally, soil loss costs 23% of the national annual GDP. Thus, identifying and prioritizing land degraded areas for conservation in regional planning and resource conservation is the priority of land degradation management. Therefore, identification of erosion hazard area and land use and/or land cover (LULC) dynamics are the overall objectives of the study. GIS and Remote Sensing technology was used to identify erosion hazard areas. K-factor, R-factor, LS factor, P-factor, and C-factor, parameters were derived from mean rainfall, Digital Elevation Model, soil map, LULC map, and ground truth points of all the parameters used to identify erosion hazard areas. At the last, the aggregate effect of those parameters had been analyzed and erosion hazard areas were identified. The Revised Universal Soil Loss Equation (RUSEL) was employed to estimate the annual soil loss of the area. The analysis result unveils that within 20 years interval cultivated land, urban land, and bare land show that a dramatically increasing and forest land shows that decreasing rate. The district has undergone significant changes. Portions of the study area that has the highest slope gradient, the highest amount of rainfall, and consist of Nitosols on agricultural land are the most erosion hazard areas. Statistically, nearly 49%, 19.78%, 9.58%, and 5.45% of the study area coverage lower than moderate, high, very high, and severe soil erosion class correspondingly. Annually losses on average of 41.07 t ha-1yr-1 soil loss because the area is intensively cultivated and experiences relatively high rainfall, and steep slope. The share of the study area, southern part, and northeastern portion of Debre Tabor district are exposed to high erosion hazard class compared to other parts.