Recent advances in assessment of soil erosion vulnerability in a watershed

Pandey, Shachi; Kumar, Parmanand; Zlatic, M.; Nautiyal, Raman; Panwar, Vijender Pal

doi:10.1016/j.iswcr.2021.03.001

Cited by 75 publications

(30 citation statements)

References 143 publications

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“…These factors are measured using the Revised Universal Soil Loss Equation (RUSLE) model and the geographic information system (GIS). The RUSLE model is recommended for soil loss estimation due to its flexibility and compatibility with GIS (Pandey et al 2021). This model is also compatible with the digital elevation model (DEM) and remote sensing data for the assessment of soil erosion (Kouli et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

Moisa

Negash

Merga³

et al. 2021

Journal of Water and Climate Change

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The impact of land-use land-cover (LULC) change on soil resources is getting global attention. Soil erosion is one of the critical environmental problems worldwide with high severity in developing countries. This study integrates the Revised Universal Soil Loss Equation model with a geographic information system to estimate the impacts of LULC conversion on the mean annual soil loss in the Temeji watershed. In this study, LULC change of Temeji watershed was assessed from 2000 to 2020 by using 2000 Landsat ETM+ and 2020 Landsat OLI/TIRS images and classified using supervised maximum likelihood classification algorithms. Results indicate that the majority of the LULC in the study area is vulnerable to soil erosion. High soil loss is observed when grassland and forest land were converted into cultivated land with a mean soil loss of 88.8 and 86.9 t/ha/year in 2020. Results revealed that about 6,608.5 ha (42.8%) and 8,391.8 ha (54.4%) were categorized under severe classes in 2000 and 2020, respectively. Accordingly, the soil loss severity class is directly correlated with the over-exploitation of forest resources and grasslands for agricultural purposes. These results can be useful for advocacy to enhance local people and stakeholder's participation toward soil and water conservation practices.

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Section: Introductionmentioning

confidence: 99%

Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

Moisa

Negash

Merga³

et al. 2021

Journal of Water and Climate Change

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“…In this regard, estimations of the soil loss and identifying different management practices that suits the agroecology of a particular study is required [8,14]. There are two approaches for estimation of soil loss: plot/field based [6,15,16] and watershed based techniques [11,12,17,18]. However, research experiences showed that watershed-based approach is more effective than the plot-based technique for the management of soil degradation.…”

Section: General Backgroundmentioning

confidence: 99%

The status of soil erosion in the Upper Blue Nile Basin: Identification of hot spot Areas and Evaluation of Best Management Practices in the Toba Watershed

Dibaba¹,

Ebsa²

2021

Preprint

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Land degradation caused by soil erosion has become the most serious problem in the Ethiopian highlands. Quantifying the spatial variations of soil loss with a strong evidence helps to prioritize the watersheds for the implementation of different management practices. The study was carried out in the Toba Watershed of the Upper Blue Nile Basin in Ethiopia. Its objective was to evaluate the rate of soil erosion and identify the hotspots with high risk of soil erosion for watershed management planning. Then, Soil and Water Assessment Tool (SWAT) was used to evaluate the effectiveness of best management practices (BMP) in reducing soil loss. The performance of SWAT in simulating streamflow and sediment yield was evaluated through sensitivity analysis, uncertainty, calibration and validation process. Statistically, the calibrated and validated sediment yields (SY) against the observed sediment data were reasonably accurate (R2 = 0.67, 0.65, NSE = 0.66, 0.64, PBIAS=-8.4%, 9.8% respectively). The annual SY in Toba watershed varies from 0.09 t ha− 1 yr− 1 to 44.8 t ha− 1 yr− 1 with an average SY of 22.7 t ha− 1 yr− 1. To prioritize the SY of the watershed, the annual severity of SY was divided into six classes: very low, low, moderate, high, very high and severe. The study also showed that SY in most watersheds (about 53.8%) were higher than the average. Cultivation on steep slopes leads to the highest SY, while forested areas have lower SY contribution. five management scenarios were evaluated using the Calibrated model. Seventeen sub-basins with SY exceeding the tolerable erosion of Ethiopia (t ha− 1 yr− 1) were considered for the analysis of the BMP scenario. The results show that reforestation combined with vegetative strips was the most effective for soil erosion control (87.8% reduction) followed by the combination of soil/stone bund and vegetative strips (83.7% reduction). Overall, the results of this study provided important data for watershed management and are very useful to ensure the sustainable management of land and natural resources at watershed level.

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“…Numerous models have their typical characteristics in terms of scenarios, description of the erosion process and accuracy, such as RUSLE (Revised Universal Soil Loss Equation), WEEP (Water Erosion Prediction Project), PESERA (Pan-European Soil Erosion Risk Assessment), SWAT (Soil Water Assessment Tool), LISEM model (LImburg Soil Erosion Model), EUROSEM (European Soil Erosion Model), etc. Previous studies showed that the erosion model has been used to quantitatively simulate and assess regional soil loss [24]. RUSLE is the most popular model capable of predicting the average annual soil loss because of its convenience in application and compatibility with GIS [25].…”

Section: Introductionmentioning

confidence: 99%

Soil Erosion Process Simulation and Factor Analysis of Jihe Basin

et al. 2022

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Soil erosion is a notable contributor to carbon emissions. Distributed erosion model can be used to study erosion distribution in different land cover, identify the main influential factors, and hence guide soil and water conservation. In this study, Regional Soil Erosion model (RSEM) was used to simulate the soil erosion processes of Jihe Basin in 2015, and the Multiscale Geographically Weighted Regression (MGWR) implementation was applied to compare the erosion regression of Geographically Weighted Regression (GWR) and MGWR as well as study the impact of influential factors on sediment modulus in hillslopes. The results are as follows: (1) MGWR results indicated slope was the dominant factors affecting soil erosion at the catchment scales, where the average coefficients of slope, forest coverage, and grass coverage descended in the value of 0.90, −0.11, and −0.19, and the influences of factors operate over scales; (2) MGWR with the adoptive bandwidths performed well in the goodness of fit, t-test of variables, scales that variables operate, and interactive interpretation of soil erosion; (3) the coupling effects and scales of vegetation and topography factors are an important approach to study soil erosion at a larger scale.

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Recent advances in assessment of soil erosion vulnerability in a watershed

Cited by 75 publications

References 143 publications

Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

The status of soil erosion in the Upper Blue Nile Basin: Identification of hot spot Areas and Evaluation of Best Management Practices in the Toba Watershed

Soil Erosion Process Simulation and Factor Analysis of Jihe Basin

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