Soil erosion assessment using RUSLE model and GIS in Huluka watershed, Central Ethiopia

Soil erosion assessment using RUSLE model and GIS in Huluka watershed, Central Ethiopia

Soil erosion is the loss of soil by physical movement of particles from a given site leading to land degradation. The present study was carried out in Huluka watershed of the Oromia regional state of Ethiopia. Land-use/land-cover (LULC) changes and their potential impacts on soil erosion during 1998...

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Bibliographic Details
Published in:Sustainable water resources management Vol. 6; no. 1
Main Authors: Atoma, Habtamu, Suryabhagavan, K. V., Balakrishnan, M.
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01-02-2020
Springer Nature B.V
Subjects:
Development Economics
Earth and Environmental Science
Earth Sciences
Erosion rates
Geographical information systems
Hydrogeology
Hydrology/Water Resources
Image acquisition
Land cover
Land degradation
Land use
Landsat
Landsat satellites
Original Article
Remote sensing
Soil classification
Soil conservation
Soil erosion
Soil mapping
Soil water movement
Sustainable Development
Water conservation
Water Policy/Water Governance/Water Management
Watersheds
Ethiopia
GIS
Land-use changes
RUSLE
Sentinel data
Soil loss
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Summary:Soil erosion is the loss of soil by physical movement of particles from a given site leading to land degradation. The present study was carried out in Huluka watershed of the Oromia regional state of Ethiopia. Land-use/land-cover (LULC) changes and their potential impacts on soil erosion during 1998–2018 were studied. Landsat 5 thematic mapper (TM) and sentinel images of 1998, 2008 and 2018 were acquired and classified using maximum likelihood classification method. Soil erosion maps were generated with RUSLE model. Soil loss in the study area was 400 t ha −1  year −1 , which was the highest rate of erosion. Severe erosion class covered 1115 ha (6% of the total watershed), while high to very high erosion-risk class covered 4032 ha (21%) and low to moderate erosion risk class covered 13,424 ha (73%), respectively. Critical sub-watersheds were identified and prioritized based on their average annual soil loss for future intervention and soil and water conservation measures. Average annual soil loss from these sub-watersheds ranged from 14.4 to 27 t ha −1  year −1 . Based on the findings, it is recommended that the study area having extreme erosion should be given priority during integrated management interventions for soil conservation. Spatial erosion inputs generated with RUSLE model can serve as effective inputs in deriving strategies for land planning and management in the environmentally sensitive watershed areas.
ISSN:2363-5037
2363-5045
DOI:10.1007/s40899-020-00365-z