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Modelling soil erosion and
sediment transport in Flanders
Petra Deproost – Government of
Flanders
1
Need for more insight in soil erosion and
sediment transport processes in Flanders
2
• Soil erosion in the Flemish loess belt causes
• loss of soil quality
• mud streams in urban areas
• high sediment loads in rivers and sewage systems
• Priority areas for actions ? Impact of erosion control measures?
=> Modified version WaTEM/SEDEM (KULeuven)
• Updated input data, algorithms and parameter choices
• Recalibration based on an extended dataset of sediment loads
Annual soil loss (A)
3
𝐴 = 𝑅. 𝐾. 𝐿𝑆. 𝐶. 𝑃 (RUSLE)
• R : rain erosivity factor => 1250 MJ.mm.ha-1.h-1.year-1
• Royal Meteorological Institute (Ukkel, Brussels), 1988-2017
• 43 meteorological stations, 2001-2017
(methodology: Verstraeten et al. 2006)
Annual soil loss (A)
4
𝐴 = 𝑅. 𝐾. 𝐿𝑆. 𝐶. 𝑃 (RUSLE)
• K : soil erodibility factor => soil texture
• LS : topographical factor
• 2-dimensional flux decomposition algorithm
• high resolution DTM based on LIDAR elevation data
(16 points/m²) => 20 meter resolution grid
• roads, parcel borders and land use are taken into
account
• C : crop management factor
• arable land: 0,37
• grassland: 0,01
• forest: 0,001
• P : erosion control practice factor => 1
Transport capacity (TC)
5
𝑇𝐶 = 𝑘𝑇𝐶. 𝑅. 𝐾. (𝐿𝑆 − 4,12. 𝑆0,8)
• kTC : transport capacity coefficient => determined by
calibration (26 catchment in Flanders)
• kTC high : arable land => 12
• kTC low : grassland, forest => 3
Model Efficiency = 0,70
Erosion and sedimentation processes
6
• Routing algorithm => sediment pathway
• SedimentIN + gross erosion < TC
• net erosion = gross erosion
• SedimentIN + gross erosion > TC
• net erosion < gross erosion
• if sedimentIN > TC: net sedimentation
(Verstraeten et al. 2007)
Sediment transport through the landscape
7
• Sediment flows on the land
• Sediment delivery to rivers
• Identification of source
subcatchments
Impact of soil erosion control measures
8
Catchment: 830 ha
Impact of soil erosion control measures
9
Erosion control measures Amount Erosion Sediment delivery
to river
Grass buffer strips 48 ha -15% -18%
Erosion control measures Amount Erosion Sediment delivery
to river
Riperian filter strips 8 ha neglegible -25%
Buffer basins 2 neglegible -17%
Reduced tillage 388 ha -47% -23%
Maximal scenario -47% -56%
• Additional measures
• Current measures
Remarks and future improvements
10
• Insertion of missing data with major impact on sediment
transport and sediment delivery to waterways
• small ditches
• sewage system
• Refinement of the impact of erosion control measures
• C-factor calculations
• buffering measures
• Increase of model resolution
• 20 meter resolution => 5 meter resolution
Conclusions
11
• WaTEM/SEDEM is used in Flanders as an operational tool to
• calculate and visualize erosion and sediment transport at different
scales
• determine priority areas for area-oriented actions
• evaluate the impact of current or future land use choices,
agricultural practices and erosion control measures
• Model results support local actors to choose, prioritize and
promote measures on the basis of their effectiveness
• The model can be applied to calculate erosion or sediment
delivery indicators to evaluate soil protection policies
Recalibration of a modified version of the WaTEM/SEDEM model for the assessment of soil erosion, sediment transport and the impact of soil erosion measures in Flanders

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Recalibration of a modified version of the WaTEM/SEDEM model for the assessment of soil erosion, sediment transport and the impact of soil erosion measures in Flanders

  • 1. Modelling soil erosion and sediment transport in Flanders Petra Deproost – Government of Flanders 1
  • 2. Need for more insight in soil erosion and sediment transport processes in Flanders 2 • Soil erosion in the Flemish loess belt causes • loss of soil quality • mud streams in urban areas • high sediment loads in rivers and sewage systems • Priority areas for actions ? Impact of erosion control measures? => Modified version WaTEM/SEDEM (KULeuven) • Updated input data, algorithms and parameter choices • Recalibration based on an extended dataset of sediment loads
  • 3. Annual soil loss (A) 3 𝐴 = 𝑅. 𝐾. 𝐿𝑆. 𝐶. 𝑃 (RUSLE) • R : rain erosivity factor => 1250 MJ.mm.ha-1.h-1.year-1 • Royal Meteorological Institute (Ukkel, Brussels), 1988-2017 • 43 meteorological stations, 2001-2017 (methodology: Verstraeten et al. 2006)
  • 4. Annual soil loss (A) 4 𝐴 = 𝑅. 𝐾. 𝐿𝑆. 𝐶. 𝑃 (RUSLE) • K : soil erodibility factor => soil texture • LS : topographical factor • 2-dimensional flux decomposition algorithm • high resolution DTM based on LIDAR elevation data (16 points/m²) => 20 meter resolution grid • roads, parcel borders and land use are taken into account • C : crop management factor • arable land: 0,37 • grassland: 0,01 • forest: 0,001 • P : erosion control practice factor => 1
  • 5. Transport capacity (TC) 5 𝑇𝐶 = 𝑘𝑇𝐶. 𝑅. 𝐾. (𝐿𝑆 − 4,12. 𝑆0,8) • kTC : transport capacity coefficient => determined by calibration (26 catchment in Flanders) • kTC high : arable land => 12 • kTC low : grassland, forest => 3 Model Efficiency = 0,70
  • 6. Erosion and sedimentation processes 6 • Routing algorithm => sediment pathway • SedimentIN + gross erosion < TC • net erosion = gross erosion • SedimentIN + gross erosion > TC • net erosion < gross erosion • if sedimentIN > TC: net sedimentation (Verstraeten et al. 2007)
  • 7. Sediment transport through the landscape 7 • Sediment flows on the land • Sediment delivery to rivers • Identification of source subcatchments
  • 8. Impact of soil erosion control measures 8 Catchment: 830 ha
  • 9. Impact of soil erosion control measures 9 Erosion control measures Amount Erosion Sediment delivery to river Grass buffer strips 48 ha -15% -18% Erosion control measures Amount Erosion Sediment delivery to river Riperian filter strips 8 ha neglegible -25% Buffer basins 2 neglegible -17% Reduced tillage 388 ha -47% -23% Maximal scenario -47% -56% • Additional measures • Current measures
  • 10. Remarks and future improvements 10 • Insertion of missing data with major impact on sediment transport and sediment delivery to waterways • small ditches • sewage system • Refinement of the impact of erosion control measures • C-factor calculations • buffering measures • Increase of model resolution • 20 meter resolution => 5 meter resolution
  • 11. Conclusions 11 • WaTEM/SEDEM is used in Flanders as an operational tool to • calculate and visualize erosion and sediment transport at different scales • determine priority areas for area-oriented actions • evaluate the impact of current or future land use choices, agricultural practices and erosion control measures • Model results support local actors to choose, prioritize and promote measures on the basis of their effectiveness • The model can be applied to calculate erosion or sediment delivery indicators to evaluate soil protection policies