Soil loss estimation using GIS and Remote sensing techniques: A case of Koga watershed, Northwestern Ethiopia

Gelagay, Habtamu Sewnet; Minale, Amare Sewnet

doi:10.1016/j.iswcr.2016.01.002

Cited by 285 publications

(190 citation statements)

References 15 publications

Supporting

Mentioning

156

Contrasting

Unclassified

Order By: Relevance

“…Significant variations in annual soil loss rates were also reported in various parts of Ethiopia. Based on an assessment of soil erosion in the Koga watershed, Northwestern Ethiopia, Gelagay and Minale [124] reported that the total annual soil loss accounted for 255,283 tons. Ayalew [33] estimated soil loss and sediment in the Zingin watershed of the Ethiopia highlands for conservation planning and reported a total annual soil loss potential accounts for 57,750.15 tons.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…Due to the absence of rainfall intensity data, we adopted the R-correlation established by Hurni (1985) for Ethiopia (Eq. 2), which was used in other similar studies (Bewket and Teferi 2009;Abate (1) A = R * K * LS * C * P 2011; Derege et al 2012;Tadesse and Abebe 2014;Kebede et al 2015;Gelagay and Minale 2016). We calculated the mean annual rainfall based on monthly rainfall data of four meteorological stations (Table 1) for the period 2007-2015 and computed the R-factor for each meteorological station using the following equation (Hurni 1985): where R is the rainfall erosivity factor and P is the mean annual rainfall (mm).…”

Section: Rainfall Erosivity (R) Factormentioning

confidence: 99%

Erosion risk assessment for prioritization of conservation measures in Geleda watershed, Blue Nile basin, Ethiopia

2017

View full text Add to dashboard Cite

Background: Soil erosion is among the most challenging and continuous environmental problems in the highlands of Ethiopia. This study was conducted in the Geleda watershed of the Blue Nile basin in the northwestern highlands of Ethiopia to measure erosion rates and map out erosion risks for prioritization of conservation measures. The Revised Universal Soil Loss Equation model, which was adapted to the Ethiopian conditions, was used for this purpose.Results: Soil losses ranged from 0 in plain areas to 237 t ha −1 year −1 in the steep slope areas of the watershed with an average soil loss of 23.7 t ha −1 year −1. About 21.25% of the watershed area experienced soil losses above the tolerable limit of 11 t ha −1 year −1 . The total annual soil loss from the entire watershed area of 25,609 ha was about 157,022 tones. Conclusions:In the steep slope areas of the watershed, where the extension of cultivated land resulted in high soil losses, soil erosion is a serious problem and requires appropriate intervention with soil conservation measures.

show abstract

“…Sediment entering the reservoir can be minimized by vegetative treatment and structural intervention. Strong awareness has to be created both for lower land users who are engaged in intense irrigation farming and upper land users for suitable land management practices to protect the water shed (Gelagay and Minale, 2016).…”

Section: Discussionmentioning

confidence: 99%

Sedimentation Study in a Reservoir Using Remote Sensing Technique

Merina¹

2016

Appl Ecol Env Res

View full text Add to dashboard Cite

Abstract.Reservoir sedimentation is a severe problem faced by dams caused due to soil erosion which is almost immeasurable at source and occurs in the catchment areas of the reservoirs. The present study describes the evaluation of sedimentation carried out for Vaigai reservoir situated in Tamil Nadu, India. Vaigai reservoir nourishes the inhabitants through water storage and supply for irrigation and water power. Nowadays, capacity loss occurs in the reservoir due to sedimentation. As it is highly tedious and uneconomical to do hydrographic surveys, the frequentness in finding the sediment yield becomes impossible. But the recent application of remote sensing and GIS technologies in the field of Civil Engineering make it possible. The Satellite Remote Sensing (SRS) method for prediction of reservoir sedimentation uses directly the water-spread area of the reservoir at a particular elevation on the date of pass of the satellite. With known area and the difference in level of water, the capacity and thereby the loss in capacity of the reservoir due to sedimentation can also be estimated. This paper illustrates the prediction of sedimentation at Vaigai reservoir using remote sensing and ArcGIS.

show abstract

Soil loss estimation using GIS and Remote sensing techniques: A case of Koga watershed, Northwestern Ethiopia

Cited by 285 publications

References 15 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

Erosion risk assessment for prioritization of conservation measures in Geleda watershed, Blue Nile basin, Ethiopia

Sedimentation Study in a Reservoir Using Remote Sensing Technique

Contact Info

Product

Resources

About