Soil Erosion Modeling Using GIS Based RUSEL Model in Gilgel Gibe-1 Catchment, South West Ethiopia

Tesfaye, Gizaw

doi:10.19080/ijesnr.2018.15.555923

Cited by 11 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The smallest class was settlement/ built-up area. A study conducted in Gigel Gibe-I catchment (central part of Omo-Gibe) also found the same trends of LULC (Gizaw and Degifie, 2018). The OA (86.94%) and K statistical test (0.8) conducted using 521 sampled reference observations has been found within the range of the acceptable limits (Anderson et al 1976) (Table 3).…”

Section: Cover and Management (C-value)mentioning

confidence: 52%

“…Where by, P is the mean annual rainfall in mm generated from 30 years (1999-2018) rainfall data collected from Ethiopian National Meteorological Agency. Inverse Distance weighted (IDW) method was then implemented to generate the rainfall erosivity (R) value across the river basin and R-factor map was generated as a raster layer (Gizaw and Degifie, 2018).…”

Section: Rainfall-runoff Erosivity Factor (R)mentioning

confidence: 99%

“…Clay and sandy dominated soils have low K value because of resistant to detachment and high infiltration rates respectively. Silty loam soils have moderate to high K values, as the soil particles are moderately to easily (Gizaw and Degifie, 2018). Wall et al (1987), concluded that soils with high infiltration rates, higher levels of OM and improved structure have a greater resistance to erosion.…”

Section: Soil Erodibility (K-value)mentioning

confidence: 99%

“…Nonetheless, soil erosion is a function of many factors. Gizaw and Degifie (2018) calculated the mean K value for central part of the Omo-Gibe basin (Gilgel Gibe-I catchment) as 0.358 t hr MJ −1 mm −1 .…”

Section: Soil Erodibility (K-value)mentioning

confidence: 99%

“…Compared with the tolerable soil loss limit (TSL), 26% (1,494,066.6 ha) of the entire basin area is by far higher than the maximum limit (18 t ha −1 yr −1 ) determined by Hurni (1985). Gizaw and Degifie (2018), reported mean annual soil loss of 62.98 t ha −1 yr −1 in the central part of Omo-Gibe (Gilgel Gibe-I catchment). For the year 2013, 60.9 t ha −1 yr −1 mean soil loss was recorded in Jimma Zone ranged from 1.6 to 232.4 t ha −1 yr −1 (Beshir and Awdenegest, 2015).…”

Section: Soil Loss Estimation (A)mentioning

confidence: 99%

See 4 more Smart Citations

Spatial modeling of erosion hotspots using GIS-RUSLE interface in Omo-Gibe river basin, Southern Ethiopia: implication for soil and water conservation planning

Girma

Gebre

2020

Environ Syst Res

View full text Add to dashboard Cite

Soil degradation due to soil erosion is one of the major environmental threats in developing countries. In resource limited conditions, computing the spatial distribution of soil erosion risk has become an essential and practical mechanism to implement soil conservation measures. This study aimed to assess the spatial distribution of soil loss in Omo-Gibe river basin using the integration of computer-based RUSLE and ArcGIS 10.7.1 to identify areas that require erosion prevention priority. Once raster layer of the input parameters was created, overlay analysis was carried to assess the spatial distribution of soil loss. The estimated annual soil loss varies from 0-279 t ha −1 yr −1 with a mean annual soil loss of 69 t ha −1 yr −1. The empirical analysis also confirmed that the basin losses a total of about 89.6 Mt of soil annually. Out of the total area; 7% was in very sever class, 4.8% was found in the sever and 8.7% was categorized in very high range. The remaining area were ranging from low to high erosion risk class. The influence of the combined LS factor for soil loss is significant. It was observed that small area of the Omo-Gibe basin contributed for the significant amount of soil loss. The finding of this study is in a good agreement with previous studies. Compared to the country permissible soil loss rate, 26% of the entire basin significantly exceeds the country threshold value (TSL = 18 t ha −1 yr −1). As a result, precedence and immediate attention should be given to those erosion prone areas. The study output could deliver watershed management experts and policy makers for better management implementation and resource allocation based on the local context.

show abstract

Section: Cover and Management (C-value)mentioning

confidence: 52%

Section: Rainfall-runoff Erosivity Factor (R)mentioning

confidence: 99%

Section: Soil Erodibility (K-value)mentioning

confidence: 99%

Section: Soil Erodibility (K-value)mentioning

confidence: 99%

Section: Soil Loss Estimation (A)mentioning

confidence: 99%

See 3 more Smart Citations