RUSLE and SDR Model Based Sediment Yield Assessment in a GIS and Remote Sensing Environment; A Case Study of Koga Watershed, Upper Blue Nile Basin, Ethiopia

Gelagay, Habtamu Sewnet

doi:10.4172/2157-7587.1000239

Cited by 36 publications

(16 citation statements)

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“…The soil erosion assessment in the northwestern highland, Chemoga watershed reported average soil loss of 93 t ha −1 year −1 (Bewket and Teferi, 2009). Similarly a study conducted in Koga watershed reported an average soil erosion rate of 47.4 t ha −1 year −1 (Gelagay, 2016). This variation on the reported soil loss record was because of LULC and topography difference considered for each study (Ouyang et al., 2010; Sahle et al., 2019).…”

Section: Resultsmentioning

confidence: 93%

The impact of land use and land cover (LULC) dynamics on soil erosion and sediment yield in Ethiopia

Kidane

Bezie

Kesete

et al. 2019

Heliyon

150

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The central highlands of Ethiopia are characterized as a region of high rates of land degradation and soil erosion. This study aimed to estimate total amount of soil loss and sediment yield using RUSLE model within GIS environment. LULC maps of 1973–2015 were used to evaluate the impact of land use change on soil loss and sediment yield. Each model parameter and sediment deliver ration was computed by using Williams and Berndt empirical equation. The net soil erosion and sediment yield at the Guder river mouth and soil risk map was estimated for the watershed. LULC dynamic for the study period and watershed have shown that there existed a rapid conversion of vegetated land uses to human modified land uses. The study revealed that the mean soil loss from the watershed ranges between 25 and 30 t/ha−1 yr−1 which accounted 25.8, 28.7 and 30.3 t/ha/yr for 1973, 1995 and 2015 periods respectively. The estimated total soil loss in 1973, 1995 and 2015 periods were 198Mt yr-1, 221Mt yr-1 and 239Mt yr-1 respectively. The mean sediment yield estimated was 6.79, 8.65 and 9.44t ha-1 yr-1 for 1973, 1995 and 2015 periods respectively. The sediment deliver ratio (SDR) of the watershed ranged between 0 and 0.26. The spatial distribution of SDR showed that the highest value was recorded on central and eastern part of the watershed. Prioritizing erosion host spot areas is recommended to rehabilitate degraded lands using suitable soil and water conservation structures.

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Section: Resultsmentioning

confidence: 93%

The impact of land use and land cover (LULC) dynamics on soil erosion and sediment yield in Ethiopia

Kidane

Bezie

Kesete

et al. 2019

Heliyon

150

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“…Most importantly, although many researchers employed RUSLE models to assess rate and patterns of soil loss in other parts of the Ethiopian highlands (e.g. Gelagay 2016;Tamene et al 2017); this model was probably used for the first time to assess soil loss rate in a GIS framework in the Gedalas watershed of the Beshillo Catchment.…”

Section: Soil Erosion Modelsmentioning

confidence: 99%

“…On the highlands of Ethiopian, there are a number research report pertaining to the peril of soil erosion at various spatial and temporal scales (Hurni 1993(Hurni , 1996Sonneveld and Keyzer 2003;Nyssen et al 2005;Amsalu et al 2007;Amare 2007;Nyssen et al 2009;Haregeweyn et al 2013;Erkossa et al 2015;Gelagay 2016;Haregeweyn et al 2017). All these highlighted that erosion-caused land degradations are by far the major problems, which deprive soil's fertility, water holding capacity, and its biodiversity (Hurni 1988;Bewket and Teferi 2009;Gebrehiwot et al 2014;Fenta et al 2016;Haregeweyn et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Soil erosion mapping and severity analysis based on RUSLE model and local perception in the Beshillo Catchment of the Blue Nile Basin, Ethiopia

2019

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Background: Water induced soil erosion is the most prevailing form of land resources deterioration in the highlands of Ethiopia, where huge amount of fertile soil is being lost annually. The purpose of this study was to estimate and map mean annual soil loss rates in the Gedalas watershed of the Blue Nile Basin, Northeastern Ethiopia. The estimation was carried out by using RUSLE model coupled with local perceptions. Soil, land use/cover, DEM, rainfall and support practice data were used as an input parameters. The raster layers were processed to present the required input parameters in ArcGIS platform and finally the inputs were multiplied together to quantify annual average soil loss rate and generate intensity maps of the watershed. Results: The estimated annual mean soil loss rate of the watershed was found to be 37 t ha −1 year −1 , which is more than two times higher as compared to the maximum tolerable soil loss value (16 t ha −1 year −1) and the annual erosion rates range from 0 to above 935 ton ha −1 year −1. The annual mean soil loss values below 5 ton ha −1 year −1 were rated as very slight, while those above 50 ton ha −1 year −1 were categorized as very severe soil erosion risk. Areas experiencing values between these two were further classified into slight, moderate, and severe erosion zones. Soil loss in more than 1/3rd of the study area (36.4%) was below moderate (< 15 t ha −1 year −1). Nearly one-fourth (25.5%) of the watershed area experienced moderate (between 15 and 30 ton t ha −1 year −1) soil loss values. Only 14% of the watershed areas were classified under severe to extremely severe (> 30 t ha −1 year −1) soil erosion risk zones. While 62% of the watershed still undergoes from very slight to moderate levels of soil loss, yet 72.6% of soil erosion occurred in zones less than 3200 m in elevation which represents more than half (51%) of the total surface area of the watershed. The study also demonstrated that the northeastern parts of the watershed suffer more from high soil erosion risk due to steep slope and rugged landforms of the area. Similarly, 43% and 35% of soil erosion occurred on cropland and grasslands areas, respectively. Conclusion: The quantitative soil loss estimation results and farmers' perception of soil erosion revealed that soil erosion has still remained significant problems in the watershed. The results underscore the urgent need for comprehensive and site-specific SLM practices in the watershed.

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“…Bien qu'il existe dans la littérature des travaux qui relient le coefficient SDR (Sediment Delivery Ratio) au modèle RUSLE (Lim et al, 2005 ;Yoon et al, 2009 ;Gelagay, 2016), le présent travail n'a pas mobilisé le SDR. En effet, plusieurs publications montrent que le SDR présente de fortes incertitudes (Klaghofer et al, 1992 ;Benavidez et al, 2018).…”

Section: Discussionunclassified

Évaluation de l’érosion hydrique dans des bassins versants de la zone semi-aride tunisienne avec les modèles RUSLE et MUSLE couplés à un Système d’information géographique

Khemiri

Jebari

2021

Cah. Agric.

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L’érosion hydrique est une préoccupation agronomique, économique et environnementale importante en milieu semi-aride méditerranéen. Le choix de la méthode pour l’estimer dépend des données disponibles et des conditions de la zone d’étude. Cet article vise à quantifier et spatialiser l’érosion hydrique en utilisant l’équation universelle des pertes en sol (Universal Soil Loss Equation [USLE]) dans ses versions modifiée (Modified − MUSLE) et révisée (Revised − RUSLE) et couplées à un Système d’information géographique (SIG) : MUSLE-SIG et RUSLE-SIG. Les données de terrain de deux bassins versants situés au centre de la Tunisie, Fidh Ali et Fidh Ben Naceur, ont été utilisées. Les deux modèles ont été calés et validés pour la période 1994–2000. Les résultats montrent une simulation satisfaisante de la réalité en termes de dégradation du paysage, avec des résultats assez similaires pour les deux modèles. RUSLE-SIG, plus récent, est largement utilisé par les chercheurs en Tunisie, mais la version calibrée de MUSLE-SIG donne ici d’aussi bons résultats. Ces deux modèles pourraient donc être utilisés par les organismes de développement agricole et de lutte contre l’érosion dans les zones semi-arides de Tunisie, le choix de l’un ou de l’autre étant tributaire de la disponibilité des données nécessaires.

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RUSLE and SDR Model Based Sediment Yield Assessment in a GIS and Remote Sensing Environment; A Case Study of Koga Watershed, Upper Blue Nile Basin, Ethiopia

Cited by 36 publications

References 0 publications

The impact of land use and land cover (LULC) dynamics on soil erosion and sediment yield in Ethiopia

The impact of land use and land cover (LULC) dynamics on soil erosion and sediment yield in Ethiopia

Soil erosion mapping and severity analysis based on RUSLE model and local perception in the Beshillo Catchment of the Blue Nile Basin, Ethiopia

Évaluation de l’érosion hydrique dans des bassins versants de la zone semi-aride tunisienne avec les modèles RUSLE et MUSLE couplés à un Système d’information géographique

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