Soil erosion assessment and control in Northeast Wollega, Ethiopia

Adugna, A.; Abegaz, Assefa; Cerdà, Artemi

doi:10.5194/sed-7-3511-2015

Cited by 44 publications

(31 citation statements)

References 42 publications

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“…On the contrary, Wang et al [92] found improvement in the state of erosion risk in the Danjiangkou reservoir area, China, where the eroded areas have declined from 32.1% in 2004 to 25.43% in the 2010 study period. Moreover, Jiang et al [16] reported that the eroded area has Therefore, since there is geospatial variation in soil erosion risk distribution across the watershed area, identification of priority area is the key factor for planning and implementing appropriate SWC [10][11][12][13][14][15][16][17][18][19]51,90,142]. Accordingly, we prioritized areas with a higher and increasing soil loss rate as SWC priority areas (Table 6).…”

Section: Discussionmentioning

confidence: 99%

Spatial Modeling of Soil Erosion Risk and Its Implication for Conservation Planning: the Case of the Gobele Watershed, East Hararghe Zone, Ethiopia

Woldemariam

Iguala

Tekalign

et al. 2018

Land

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Abstract:Soil erosion by water has accelerated over recent decades due to non-sustainable land use practices resulting in substantial land degradation processes. Spatially explicit information on soil erosion is critical for the development and implementation of appropriate Soil and Water Conservation (SWC) measures.The objectives of this study were to estimate the magnitude of soil loss rate, assess the change of erosion risk, and elucidate their implication for SWC planning in the Gobele Watershed, East Hararghe Zone, Ethiopia. Applying remote sensing data, the study first derived the Revised Universal Soil Loss Equation (RUSLE) model parameters in an ArcGIS environment and estimated the soil loss rates. The estimated total soil loss in the watershed was 1,390,130.48 tons in 2000 and 1,022,445.09 tons in 2016 with a mean erosion rate of 51.04 t ha −1 y −1 and 34.26 t ha −1 y −1 , respectively. The study area was divided into eight erosion risk classes ranging from very low to extremely high. We established a change detection matrix of the soil erosion risk classes between 2000 and 2016. The change analysis results have revealed that about 70.80% of the soil erosion risk areas remained unchanged, 19.67% increased in total area, and 9.53% decreased, showing an overall worsening of the situation. We identified and mapped areas with a higher and increasing erosion risk as SWC priority areas using a Multi-criteria Decision Rules (MCDR) method. The top three priority levels marked for the emergency SWC measures account for about 0.04%, 0.49%, and 0.83%, respectively. These priority levels are situated along the steep slope areas in the north, northwest, south, and southeast of the Gobele Watershed. It is, thus, very critical to undertake proper intervention measures in upslope areas based on the priority levels to establish sustainable watershed management in the study area.

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Section: Discussionmentioning

confidence: 99%

Spatial Modeling of Soil Erosion Risk and Its Implication for Conservation Planning: the Case of the Gobele Watershed, East Hararghe Zone, Ethiopia

Woldemariam

Iguala

Tekalign

et al. 2018

Land

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“…DOI: http://doi.org/10.17352/2455-815X.000038 Therefore, information on land use/land cover changes, its ultimate impact and possibilities for their optimal use is essential for the selection, planning and implementation of land use schemes to meet the increasing demands for basic human needs and welfare. In Ethiopian condition there is an urgent need to design and implement appropriate land management options, coupled with population control and sustainable natural resource use and conservation that meet the need of both present and future generations [74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90].…”

Section: Land Use/land Cover Change and Soil Erosion In Ethiopiamentioning

confidence: 99%

Effect of Land Use and Land Cover Changes on Soil Erosion in Ethiopia

Tsegaye¹

2019

Int J Agric Sc Food Technol

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Land degradation is one of a serious agricultural problem that posed severe threat to food production and the livelihood of peoples in Ethiopia. It resulted in high economic loss and threat in natural environment. The country loses about $106 million annually through soil and nutrient loss. Soil degradation is the one and the major form of land degradation that have been stayed for long period as the bottlenecks of the country's economy and human wellbeing. The economic loss soil degradation in the form of soil erosion and nutrient depletion only from the highlands of the country is about10-11% of agricultural gross domestic products. Soil erosion is one of the major causes of soil degradation in the country. The annual soil loss rate on average is about 42 tones/ha for croplands, and up to 300 tones/ha in extreme cases. The average total soil loss of the country is estimated as 12 ton/ha/year, which varied based on land cover types. Ethiopia historically passed signifi cant dynamics in land use/land cover since long ago to date. Land use and land cover changes and degradation are increasing at alarming rate generally throughout the country. The change in land use types played a signifi cant role in this increased rate of soil erosion in Ethiopia. Cultivated lands showed continuously increasing trend at the expense of forest and grasslands. The rapidly increasing population has led to a declining availability of cultivable land and a very high rate of soil erosion. The objective of this review paper is to view the effect of Land Use-Land Cover change in soil erosion in Ethiopia

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“…Support practice factor (P) describes the effectiveness of erosion control measures like contours, strip cropping and terracing to reduce soil loss rate from its average rate from unprotected land to tolerable estimated rate (Esa et al, 2018). The lesser P value represents the more effective support practice to reduce soil erosion and the larger P value represents the lesser effective support practice to reduce soil erosion (Adugna et al, 2015). The P values vary from 0 to 1, where the value 0 represents a very good erosion resistance practice and the value 1 represents no resistance practice.…”

Section: Support Practice Factor (P)mentioning

confidence: 99%

Spatial Distribution of Soil Loss in Upper Didessa Watershed, Ethiopia

Tufa

Feyissa

2019

J. Sed. Env.

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Soil erosion is dramatically increasing and accelerating in developing countries like Ethiopia. It has worrisome economic and environmental impacts and causes nutrient loss on agricultural land, sedimentation in rivers and reservoirs, clogged canals and other water supply systems. Determination of spatial distribution of soil loss rate in upper Didessa watershed is an important priority for prioritizing the area for watershed management practices in order to reduce soil erosion. The Revised Universal Soil Loss Equation (RUSLE) framed with geographical information system and remote sensing technique was used to estimate the mean annual soil loss in Upper Didessa Watershed, Ethiopia. Digital elevation model (DEM) with 30mx30m resolution was collected from Ministry of Water, Irrigation and Energy and used to delineate the watershed. Soil loss factors of the watershed like length and slope factor (LS), soil erodibility factor (K), cover management factor (C), support practicing factor (P) and rain fall erosivity factor (R) were evaluated and integrated in GIS to compute the annual soil loss rate of the watershed. The results of this work reveal that the annual rate of soil loss in the watershed is 5.23 t / ha / year. They also show that the central part of the watershed is an area prone to soil erosion. DISTRIBUIÇÃO ESPACIAL DA PERDA DO SOLO NA BACIA HIDROGRÁFICA SUPERIOR DIDESSA, ETIÓPIA ResumoA erosão do solo está aumentando e acelerando dramaticamente em países em desenvolvimento como a Etiópia. Tem impactos econômicos e ambientais preocupantes e causa perda de nutrientes em terras agrícolas, sedimentação em rios e reservatórios, entupimento de canais e outros sistemas de fornecimento de água. A determinação da distribuição espacial da taxa de perda de solo na bacia hidrográfica superior do Rio Didessa é uma prioridade importante para priorizar a área para práticas de manejo de bacias hidrográficas a fim de reduzir a erosão do solo. A Equação Universal de Perda de Solo Revisada (RUSLE), enquadrada com sistema de informação geográfica e técnica de sensoriamento remoto, foi usada para estimar a perda média anual de solo na Bacia do Alto Didessa, na Etiópia. O modelo digital de elevação (DEM) com resolução de 30mx30m foi coletado no Ministério da Água, Irrigação e Energia e utilizado para delinear a bacia hidrográfica. Os fatores de perda de solo da bacia hidrográfica, como comprimento e fator de inclinação (LS), fator de erodibilidade do solo (K), fator de manejo da cobertura (C), fator de prática de apoio (P) e fator de erosividade da chuva (R) foram avaliados e integrados no SIG para calcular a taxa anual de perda de solo da bacia hidrográfica. Os resultados deste trabalho revelam que taxa anual de perda de solo da bacia hidrográfica é de 5,23 t / ha / ano. Mostram ainda que a parte central da bacia hidrográfica é uma área propensa à erosão do solo. Palavras-chave: SIG. Perda de solo. RUSLE. Didessa superior da bacia hidrográfica.

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Soil erosion assessment and control in Northeast Wollega, Ethiopia

Cited by 44 publications

References 42 publications

Spatial Modeling of Soil Erosion Risk and Its Implication for Conservation Planning: the Case of the Gobele Watershed, East Hararghe Zone, Ethiopia

Spatial Modeling of Soil Erosion Risk and Its Implication for Conservation Planning: the Case of the Gobele Watershed, East Hararghe Zone, Ethiopia

Effect of Land Use and Land Cover Changes on Soil Erosion in Ethiopia

Spatial Distribution of Soil Loss in Upper Didessa Watershed, Ethiopia

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