Soil Erosion Studies in Northern Ethiopia

2008 ◽  
pp. 73-100 ◽  
Author(s):  
Lulseged Tamene ◽  
Paul L. G. Vlek
2005 ◽  
Vol 21 (3) ◽  
pp. 287-297 ◽  
Author(s):  
Desta Gebremichael ◽  
J. Nyssen ◽  
J. Poesen ◽  
J. Deckers ◽  
Mitiku Haile ◽  
...  

2016 ◽  
Vol 58 (5) ◽  
pp. 889-905 ◽  
Author(s):  
Ayele Almaw Fenta ◽  
Hiroshi Yasuda ◽  
Katsuyuki Shimizu ◽  
Nigussie Haregeweyn ◽  
Aklilu Negussie

2017 ◽  
Vol 5 (3) ◽  
pp. 221-230 ◽  
Author(s):  
Lulseged Tamene ◽  
Zenebe Adimassu ◽  
Ermias Aynekulu ◽  
Tesfaye Yaekob

2005 ◽  
Vol 21 (3) ◽  
pp. 287-297 ◽  
Author(s):  
Desta Gebrernichael ◽  
J. Nyssen ◽  
J. Poesen ◽  
J. Deckers ◽  
Mitiku Haile ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Gebreyesus Brhane Tesfahunegn ◽  
Lulseged Tamene ◽  
Paul L. G. Vlek

Even though scientific information on spatial distribution of hydrophysical parameters is critical for understanding erosion processes and designing suitable technologies, little is known in Geographical Information System (GIS) application in developing spatial hydrophysical data inputs and their application in Morgan-Morgan-Finney (MMF) erosion model. This study was aimed to derive spatial distribution of hydrophysical parameters and apply them in the Morgan-Morgan-Finney (MMF) model for estimating soil erosion in the Mai-Negus catchment, northern Ethiopia. Major data input for the model include climate, topography, land use, and soil data. This study demonstrated using MMF model that the rate of soil detachment varied from <20 t ha−1y−1to >170 t ha−1y−1, whereas the soil transport capacity of overland flow (TC) ranged from 5 t ha−1y−1to >42 t ha−1y−1. The average soil loss estimated by TC using MMF model at catchment level was 26 t ha−1y−1. In most parts of the catchment (>80%), the model predicted soil loss rates higher than the maximum tolerable rate (18 t ha−1y−1) estimated for Ethiopia. Hence, introducing appropriate interventions based on the erosion severity predicted by MMF model in the catchment is crucial for sustainable natural resources management.


2011 ◽  
Vol 24 (2) ◽  
pp. 188-204 ◽  
Author(s):  
N. Haregeweyn ◽  
J. Poesen ◽  
G. Verstraeten ◽  
G. Govers ◽  
J. de Vente ◽  
...  

2021 ◽  
Vol 14 ◽  
pp. 117862212199584
Author(s):  
Gebrehana Girmay ◽  
Awdenegest Moges ◽  
Alemayehu Muluneh

Soil erosion is 1 of the most important environmental problems that pose serious challenges to food security and the future development prospects of Ethiopia. Climate change influences soil erosion and is critical for the planning and management of soil and water resources. This study aimed to assess the current and future climate change impact on soil loss rate for the near future (2011-2040), middle future (2041-2070), and far future (2071-2100) periods relative to the reference period (1989-2018) in the Agewmariam watershed, Northern Ethiopia. The 20 models of Coupled Model Intercomparison Project phase 5 global climate models (GCMs) under Representative Concentration Pathway (RCP) 4.5 (intermediate scenario) and 8.5 (high emissions scenario) scenarios were used for climate projection. The statistical bias correction method was used to downscale GCMs. Universal Soil Loss Equation integrated with geographic information system was used to estimate soil loss. The results showed that the current average annual soil loss rate and the annual total soil loss on the study area were found to be 25 t ha−1 year−1 and 51 403.13 tons, respectively. The soil loss has increased by 3.0%, 4.7%, and 5.2% under RCP 4.5 scenarios and 6.0%, 9.52%, and 14.32% under RCP 8.5 scenarios in the 2020s, 2050s, and 2080s, respectively, from the current soil loss rate. Thus, the soil loss rate is expected to increase on all future periods (the 2020s, 2050s, and 2080s) under both scenarios (RCP 4.5 and RCP 8.5) due to the higher erosive power of the future intense rainfall. Thus, climate change will exacerbate the existing soil erosion problem and would need for vigorous new conservation policies and investments to mitigate the negative impacts of climate change on soil loss.


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