Comparative analysis of sediment yield estimations using different empirical soil erosion models

Efthimiou, Nikolaos; Lykoudi, E.; Karavitis, Christos A.

doi:10.1080/02626667.2017.1404068

Cited by 41 publications

(26 citation statements)

References 36 publications

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“…Erosion Potential Method (EPM) is an empirical model to estimate water erosion in hydrographic basins, taking into account parameters related to the climate, topography, soil type, and land use. The model has been widely applied worldwide and has recently been adapted to Brazilian edaphoclimatic conditions (Efthimiou et al, 2017;Sakuno et al, 2020).…”

Section: Erosion Potential Methods (Epm)mentioning

confidence: 99%

“…Conventional methods that involve field experiments to determine erosion rates and identify susceptible zones are expensive and require a high demand for time. Also, it can be impracticable to implement these procedures on a hydrographic basin-scale (Ganasri and Ramesh, 2016;Efthimiou et al, 2017). Therefore, the use of modeling techniques can help to overcome these limitations and to obtain precise and effective results.…”

Section: Introductionmentioning

confidence: 99%

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Water erosion modeling by the Erosion Potential Method and the Revised Universal Soil Loss Equation: a comparative analysis

et al. 2020

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Water erosion is the principal degradation process of tropical soils, and its effects can be measured by modeling techniques. Erosion models provide a diagnosis of the soil loss intensity and can support the planning of soil conservation practices. Models with low data requirements, such as the Revised Universal Soil Loss Equation (RUSLE) and, more recently, the Erosion Potential Method (EPM), are mainly applied in Brazil. Thus, the objective of this work was to estimate water erosion soil-loss rates using the EPM and RUSLE models on a tropical subbasin, followed by a comparison of their outcomes. The models’ application considered soil physical parameters, edaphoclimatic conditions of the area, land use, and subbasin management practices. The accuracy of the methods was verified using total transported sediment and water discharge data. We compared the models using Pearson's correlation analyses, considering a 5% of significance. We found a predominance of moderate-intensity erosion with average soil loss of 1.17 and 1.46 Mg ha-1 year-1, measured by EPM and RUSLE, respectively. The EPM model underestimated soil losses by 15.27%, and RUSLE overestimated by 19.08%, indicating a higher percentage of areas with high erosion rates (4.60%). The models presented results with a different order of magnitude, but with significant correlations, indicating that both methods pointed out similar zones of intense and light-erosion rates.

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Section: Erosion Potential Methods (Epm)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Water erosion modeling by the Erosion Potential Method and the Revised Universal Soil Loss Equation: a comparative analysis

et al. 2020

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“…Soil erosion could be calculated by numbers of equations (EPM, USLE, Koutsoyiannis and Tarla, RUSLE) [14]. This study used combination GIS/USLE methods [15], [16], [17] Land unit is a unit mapping analysis based on similar physical land characteristics.…”

Section: Methodsmentioning

confidence: 99%

Prediction Soil Erosion Using GIS-USLE Under Different Land Uses In West Timor, Indonesia

Puay¹,

Kuang²,

Moata³

et al. 2019

Proceedings of the Proceedings of the 1st International Conference on Engineering, Science, and Commerce, ICESC 2019, 18-19 Oct

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Transformation of land uses from several semi-arid agroecosystems in Indonesia: forest to settlement, dryland agriculture, and others had affected to soil erosion. This study was conducted to evaluate soil erosion at semi-arid Manikin Baki watershed, West Timor, Indonesia. USLE method was used to predict soil erosion supporting ArcGIS 10.3 software. The results showed that the highest soil erosion occurred at dryland farming (60.22% with total land cover 11% of total areas), while the smallest one went to the forest (0.20% with total land cover 42% of total areas). Another finding that soil erosion at Manikin Baki watershed was dominated by class I (12,251.77 Ha; 64.38% of total areas), while the smallest one was majored for class IV (1.59% of total areas).

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“…Furthermore, several estimates have been done regarding the suspended sediment yields for medium to small mountainous rivers utilizing sets of hydro-morphological parameters (e.g. Milliman & Syvitski, 1992;Probst & Suchet, 1992;Zarris et al, 2007;Pelletier, 2012;Efthimiou et al, 2017;Karalis et al, 2018),…”

Section: Data Collection and Analysismentioning

confidence: 99%

River systems and their water and sediment fluxes towards the marine regions of the Mediterranean Sea and Black Sea earth system. An overview

Πούλος

2019

Medit. Mar. Sci.

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A quantitative assessment of the riverine freshwater, suspended and dissolved sediment loads is provided for the watersheds of the four primary (Western Mediterranean-WMED, Central Mediterranean-CMED, Eastern Mediterranean-EMED and Black Sea-BLS) and eleven secondary marine regions of the Mediterranean and Black Sea Earth System (MBES). On the basis of measured values that cover spatially >65% and >84% of MED and BLS watersheds, respectively, water discharge of the MBES reaches annually almost the 1 million km3, with Mediterranean Sea (including the Marmara Sea) to provide 576 km3 and the Black Sea (included the Azov Sea) 418 km3. Among the watersheds of MED primary marine regions, the total water load is distributed as follows: WMED= 180 km3; CMED= 209 km3; and EMED= 187 km3. The MBES could potentially provide annually some 894 106 t of suspended sediment load (SSL), prior to river damming, most of which (i.e., 708 106 t is attributed to MED). Between MED primary marine regions, CMED receives the highest amount of suspended sediment (287 106 t), followed by WMED (239 106 t) and EMED 182 106 t, while 185 106 t are delivered to BLS. The dissolved load (DL) of MBES is about 376 106 t, from which 215 106 t (approximately 57%) is provided by the MED watershed. The large river systems (watershed>104 km2) provide >85% of the water load, >80% of SSL and >60% of DL of both MED and BLS.

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Comparative analysis of sediment yield estimations using different empirical soil erosion models

Cited by 41 publications

References 36 publications

Water erosion modeling by the Erosion Potential Method and the Revised Universal Soil Loss Equation: a comparative analysis

Water erosion modeling by the Erosion Potential Method and the Revised Universal Soil Loss Equation: a comparative analysis

Prediction Soil Erosion Using GIS-USLE Under Different Land Uses In West Timor, Indonesia

River systems and their water and sediment fluxes towards the marine regions of the Mediterranean Sea and Black Sea earth system. An overview

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