Land use, soil erosion, and sediment yield at Pinto Lake, California: comparison of a simplified USLE model with the lake sediment record

Boyle, John; Plater, Andy; Mayers, C.; Turner, Simon; Stroud, R. W.; Weber, Jerry E.

doi:10.1007/s10933-010-9491-8

Cited by 25 publications

(16 citation statements)

References 17 publications

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“…For determining the saturated hydraulic conductivity, an empirical equation according to [28] is used: Figure 1. The EROSION-3D model structure [24].…”

Section: Erosion-3d Modelmentioning

confidence: 99%

“…The bathymetric measurement of sediment deposited in a reservoir is a suitable method for assessing the volume of eroded material in a study area. Boyle et al [24] noted that calculating the lake sediment is useful for quantifying the historical impact of agriculture on soil erosion and sediment yield, as well as a good approach for calibrating and testing the erosion models compared to the actual bathymetry measurements.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validation of the EROSION-3D Model through Measured Bathymetric Sediments

Németová

Honek

Kohnová

et al. 2020

Water

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The testing of a model performance is important and is also a challenging part of scientific work. In this paper, the results of the physically-based EROSION-3D (Jürgen Schmidt, Berlin, Germany) model were compared with trapped sediments in a small reservoir. The model was applied to simulate runoff-erosion processes in the Svacenický Creek catchment in the western part of the Slovak Republic. The model is sufficient to identify the areas vulnerable to erosion and deposition within the catchment. The volume of sediments was measured by a bathymetric field survey during three terrain journeys (in 2015, 2016, and 2017). The results of the model point to an underestimation of the actual processes by 30% to 80%. The initial soil moisture played an important role, and the results also revealed that rainfall events are able to erode and contribute to a significant part of sediments.

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“…For determining the saturated hydraulic conductivity, an empirical equation according to [28] is used: Figure 1. The EROSION-3D model structure [24].…”

Section: Erosion-3d Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of the EROSION-3D Model through Measured Bathymetric Sediments

Németová

Honek

Kohnová

et al. 2020

Water

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“…Movement of soil from a place to another cause a number of unwanted impacts namely the openness of a land and the nutrients that are needed by plants disappear as part of the nutrients are eroded. Meanwhile, in places where the eroded soils that are sedimented cause disturbances of waterways or canals, if it is sedimented in rivers and lakes they may cause the decline in water surface quality [3,4]. Nonetheless, Rahim [1] stated that sedimentation derived from erosion in upper parts can cause the increase of soil fertility in the lower parts of certain areas.…”

Section: Introductionmentioning

confidence: 99%

Soil Loss Prediction on Mobile Platform Using Universal Soil-Loss Equation (USLE) Model

2017

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Abstract. Indirect method for soil loss predictions are plentiful, one of which is Universal soil-loss equation (USLE) model. Available technology in mobile applications prompted the authors to develop a tool for calculating soil loss for many land types by transforming the USLE model into smart mobile application. The application is designed by using simple language for calculating each and every factor and lastly summing up the results. Factors that are involved in the calculation of soil loss are namely erosivity, erodibility, slope steepness, length of slope, land cover and conservation measures. The program will also be able to give its judgment for each of the prediction of soil loss rates for each and every possible land uses ranging from very light to very heavy. The application is believed to be useful for land users, students, farmers, planners, companies and government officers. It is shown by conducting usability testing using usability model, which is designed for mobile application. The results showed from 120 respondents that the usability of the system in this study was in "very good" classification, for three characteristics (ease of use, user satisfaction, and learnability). Only attractiveness characteristic that falls into "good" classification.

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“…Most often, however, interpretation was solely based on the synchronicity of events and was rarely supported by direct evidence of climate and/or humanmediated changes in past soil erosion rates. Modelling systems provide an alternative to correlate more convincingly sediment records with quantified estimates in soil erosion rates within historical times (Boyle et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Comparison of estuarine sediment record with modelled rates of sediment supply from a western European catchment since 1500

Poirier

Poitevin

Chaumillon

2015

Comptes Rendus. Géoscience

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International audienceMarine and estuarine sediment records reporting impacts of historical land use changes exist worldwide, but they are rarely supported by direct quantified evidence of changes in denudation rates on the related catchments. Here we implement a spatially-resolved RUSLE soil erosion model on the 10 000 km2 Charente catchment (France), supplied with realistic scenarios of land-cover and climate changes since 1500, and compare the results to a 14C-dated estuarine sediment record. Despite approximations, the model correctly predicts present-day Charente river sediment load. Back-cast modelling suggests that the Charente catchment is an interesting case where the sediment supply did not change despite increase in soil erosion resulting from 18th-century deforestation because it was mitigated by drier climate during the same period. Silt-sand alternations evidenced in the sediment record were correlated with sub-decadal rainfall variability

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Land use, soil erosion, and sediment yield at Pinto Lake, California: comparison of a simplified USLE model with the lake sediment record

Cited by 25 publications

References 17 publications

Validation of the EROSION-3D Model through Measured Bathymetric Sediments

Validation of the EROSION-3D Model through Measured Bathymetric Sediments

Soil Loss Prediction on Mobile Platform Using Universal Soil-Loss Equation (USLE) Model

Comparison of estuarine sediment record with modelled rates of sediment supply from a western European catchment since 1500

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