The use of a simple sediment budget model to estimate long-term contaminant export from small catchments

Perk, Marcel van der; Jetten, Victor

doi:10.1016/j.geomorph.2005.09.010

Cited by 8 publications

(5 citation statements)

References 17 publications

(22 reference statements)

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“…Martínez-Casasnovas et al, 2005), and geochemical methods (e.g. Quine and Walling, 1991;Kirchner et al, 2001;Van Der Perk and Jetten, 2006) are the most frequently used.…”

Section: Introductionmentioning

confidence: 99%

Erosion rates and sediment budgets in vineyards at 1-m resolution based on stock unearthing (Burgundy, France)

et al. 2008

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A new and simple method is developed to efficiently quantify erosion and deposition rates based on stock unearthing measurements. This is applicable to spatial scales ranging from plot to hillslopes, and to time scales ranging from single hydrologic events to centennial scales. The method is applied to a plot area on vineyard hillslopes in Burgundy (Monthélie, France), with measurement of 4328 vine plants. A sediment budget established at the plot scale shows a mean soil lowering of 3.44 ± 1 cm over 20 years, involving a minimal erosion rate of 1.7 ± 0.5 mm yr − 1 . Locally, erosion rates can reach up to 8.2± 0.5 mm yr − 1 .This approach allows the sediment redistribution to be mapped and analyzed at 1-m resolution. It provides novel insights into the characterization of erosion patterns on pluri-decennial scales and into the analysis of spatial distribution of erosion processes on cultivated hillslopes.

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“…Martínez-Casasnovas et al, 2005), and geochemical methods (e.g. Quine and Walling, 1991;Kirchner et al, 2001;Van Der Perk and Jetten, 2006) are the most frequently used.…”

Section: Introductionmentioning

confidence: 99%

Erosion rates and sediment budgets in vineyards at 1-m resolution based on stock unearthing (Burgundy, France)

et al. 2008

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“…The AGNPS model predicted deposition zones at the bottom of the slopes, with highest erosion at mid-slope, in accordance with the 137 Cs-derived distribution, while ANSWERS showed a continuous increase of detachment from top to bottom of the slopes. Van der Perk and Jetten (2006) showed that a pattern of Cu concentrations could be established in a French vineyard due to long-term use of copper as a fungicide. Van Oost et al (2003) included tillage displacement using the WATEM/SEDEM model to further explain 137 Cs patterns found in a Belgian catchment.…”

Section: Spatial Calibration Of Erosion Patternsmentioning

confidence: 99%

Calibration of Erosion Models

Jetten¹,

Maneta

2010

Handbook of Erosion Modelling

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“…The hillslope part of the model was based on a long‐term rill erosion model described by Govers et al (1993) and Van der Perk and Jetten (2006) A relative measure of potential soil erosion was derived using Eq. [1]:

\begin{matrix} E_{normalr} = f_{soil} f_{lc} L^{normaln} S^{normalm} \end{matrix}

where E r = the relative potential erosion rate per unit area (kg m −2 y −1 ), f soil = a soil factor (−), f lc = a land cover factor (−), L = the slope length (m), S = the sine of the slope gradient, and n and m are exponents (−).…”

Section: Streambed Sediment Phosphorusmentioning

confidence: 99%

“…The hillslope part of the model was based on a longterm rill erosion model described by Govers et al (1993) and Van der Perk and Jetten (2006). A relative measure of potential soil erosion was derived using Eq.…”

Section: Phosphorus Transport Modelmentioning

confidence: 99%

Controls on Catchment‐Scale Patterns of Phosphorus in Soil, Streambed Sediment, and Stream Water

et al. 2007

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Many models of phosphorus (P) transfer at the catchment scale rely on input from generic databases including, amongst others, soil and land use maps. Spatially detailed geochemical data sets have the potential to improve the accuracy of the input parameters of catchment-scale nutrient transfer models. Furthermore, they enable the assessment of the utility of available, generic spatial data sets for the modeling and prediction of soil nutrient status and nutrient transfer at the catchment scale. This study aims to quantify the unique and joint contribution of soil and sediment properties, land cover, and point-source emissions to the spatial variation of P concentrations in soil, streambed sediments, and stream water at the scale of a medium-sized catchment. Soil parent material and soil chemical properties were identified as major factors controlling the catchment-scale spatial variation in soil total P and Olsen P concentrations. Soil type and land cover as derived from the generic spatial database explain 33.7% of the variation in soil total P concentrations and 17.4% of the variation in Olsen P concentrations. Streambed P concentrations are principally related to the major element concentrations in streambed sediment and P delivery from the hillslopes due to sediment erosion. During base flow conditions, the total phosphorus (<0.45 microm) concentrations in stream water are mainly controlled by the concentrations of P and the major elements in the streambed sediment.

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The use of a simple sediment budget model to estimate long-term contaminant export from small catchments

Cited by 8 publications

References 17 publications

Erosion rates and sediment budgets in vineyards at 1-m resolution based on stock unearthing (Burgundy, France)

Erosion rates and sediment budgets in vineyards at 1-m resolution based on stock unearthing (Burgundy, France)

Calibration of Erosion Models

Controls on Catchment‐Scale Patterns of Phosphorus in Soil, Streambed Sediment, and Stream Water

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