M. Esteves, G. Nord PSEM_2D A process-based soil erosion model at the plot scale DYNAS Workshop Rocquencourt 6th-8th December 2004 1 DYNAS Workshop, 6th-8th December 2004, INRIA Introduction PRIM_2D Plot Runoff and Infiltration Model (1999) PSEM_2D Plot Soil Erosion Model (2003) These models were designed to dynamically couple hydrological and soil 2 erosion processes to predict the spatial pattern of overland flow hydraulics to predict the spatial pattern of soil erosion to be used in natural slopes conditions to consider complex rainfall events The models work on a rainfall event basis PRIM_2D has been validated (Esteves et al., 2000, J. Hyd.,228) PSEM_2D model is still under evaluation (Nord and esteves, WRR, submitted) DYNAS Workshop, 6th-8th December 2004, INRIA Objectives The main goals are to improve our understanding of local overland flow hydraulics to develop a better understanding of soil erosion processes to bring a better description of the spatial and temporal variability of soil erosion at the plot scale 3 DYNAS Workshop, 6th-8th December 2004, INRIA Presentation outline Description of PRIM_2D and PSEM_2D Applications of PRIM_2D Validation of the model by comparison with observed data Effect of the micro-topography Effect of soil surface features pattern (crusted soils) Applications of PSEM_2D Evaluation of the model by comparison with experimental data Some numerical examples to show the capabilities of the model As a conclusion: Future research 4 DYNAS Workshop, 6th-8th December 2004, INRIA Model description 5 DYNAS Workshop, 6th-8th December 2004, INRIA Model description The model has three major components Overland flow (OF) is generated as infiltration excess rainfall (hortonian) OF is routed using the depth averaged two dimensional unsteady flow equations on a finite difference grid Rainfall and OF hydraulics are used to compute soil erosion A single representative particle size (D50) 6 DYNAS Workshop, 6th-8th December 2004, INRIA Model description : Infiltration The infiltration algorithm is based on the Green and Ampt equation (1911) Ic K Z f h f h Zf Zf I θ s θi In the case of crusted soils the profile is divided in two layers Z f Zc Ic Kc Z f Zc Ic Ke Ke 7 Z f h f h Zf Zf Z f h f h Zf Zf Z f Z c Z c Ks Kc DYNAS Workshop, 6th-8th December 2004, INRIA Model description : Overland flow Fully dynamic two dimensional unsteady flow equations (Barré de Saint-Venant) Continuity equation: (uh) (vh) h R I ( x, y ) x y t Momentum equations: x direction: u u u h u v g S fx S ox 0 t x y x y direction: 8 g h R I Sox Soy Sfx Sfy u v gravitational acceleration (m.s-2) flow depth (m) rainfall intensity (m s -1) rate of infiltration (m s -1) ground slope (x direction) ground slope (y direction) friction slope (x direction) friction slope (y direction) flow velocity (x direction) (m s -1) flow velocity (y direction) (m s -1) h v v v u v g S fy S oy 0 t x y y DYNAS Workshop, 6th-8th December 2004, INRIA Model description : Flow resistance Friction is approximated using the Darcy-Weisbach equation x direction: y direction: S fx f S fy f u (u 2 v 2 ) 8 gh v (u 2 v 2 ) 8 gh g h Sfx Sfy u v f gravitational acceleration (m.s-2) flow depth (m) friction slope (x direction) friction slope (y direction) flow velocity (x direction) (m s -1) flow velocity (y direction) (m s -1) Darcy-Weisbach friction factor The Darcy-Weisbach friction factor is constant 9 For small depth flows (< 0.1 mm) the velocities are calculated using a kinematic wave approximation DYNAS Workshop, 6th-8th December 2004, INRIA Model description : soil erosion Deposition Dfd < 0 Drd > 0 Detachment and redetachment by raindrop impact Dfd > 0 Detachment by runoff Transport by runoff Entrainment 10 Tc > q s DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion A covering Layer of loose sediment (Hairsine and Rose, 1991) ε is conceptualized as the percentage of a grid cell covered by a deposited layer of depth the median particle diameter D50. Therefore ε is calculated as: 11 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion Sediment mass conservation equation (Bennet,1974) (hc) (q x c) (q y c) 1 ( Drd D fd ) t x y s h c s qx qy Drd Dfd water depth (m) sediment concentration (m3 m-3) sediment particle density (kg m-3) unit runoff discharge (x direction) (m2 s-1 ) unit runoff discharge (y direction) (m2 s-1 ) soil detachment rate by rainfall (kg m-2 s-1 ) soil detachment/deposition rate by runoff (kg m-2 s-1 ) 12 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion Soil detachment by rainfall is a function of the rainfall intensity (Li, 1979) Before sediment movement (kg m-2 s -1) a soil detachability coefficient by rainfall (kg m-2 mm-1) p an exponent set to 1.0 according to the results of Sharma et al. [1993] h water depth (m) ld loose sediment depth (m) zm the maximum penetration depth of raindrop splash (m) R rainfall intensity (m s-1) where 13 h 1 zm Damping effect of the water film at the soil surface zm 6.69 R 0.182 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion Soil detachment by rainfall After sediment movement 14 Detachment (kg m-2 s -1) Re-detachment (kg m-2 s -1) e a ad p h zm R function of the area of the covering layer (0-1) soil detachability coefficient by rainfall (kg m-2 mm-1) soil re-detachability coefficient by rainfall (kg m-2 mm-1) an exponent (1.0) water depth (m) the maximum penetration depth of raindrop splash (m) rainfall intensity (mm h-1) DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion Soil detachment or deposition by runoff : a model proposed by Foster and Meyer [1972] D fd (Tc qs ) (kg m-2 s-1) Tc sediment transport capacity of the flow (kg m-1 s-1) qs sediment discharge per unit flow width in the flow direction (kg m-1 s-1) When • qs<Tc, additional sediment detachment • qs>Tc, excessive sediment deposition 15 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion When Tc>qs (Dfd>0) net erosion occurs and the detachment and entrainment rates are given by: Detachment Entrainment 16 (kg m-2 s -1) (kg m-2 s -1) tf is the flow shear stress in the flow direction (Pa) tc is the critical shear stress of a spherical sediment particle [Yang, 1996] (Pa) tsoil the critical shear stress of the soil (Pa) Kr is the rill erodibility parameter (s m–1) Tc sediment transport capacity of the flow (kg m-1 s-1) qs sediment discharge per unit flow width in the flow direction (kg m-1 s-1) DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion When Tc<qs (Dfd<0) net deposition occurs and the deposition rates is given by [Foster et al., 1995]: (kg m-2 s -1) j is a raindrop induced turbulence coefficient assigned to 0.5. Vf is the particle settling velocity (m s–1) q is the water dicharge per unit flow width in the flow direction (m 3 s-1 m-1) Tc sediment transport capacity of the flow (kg m-1 s-1) qs sediment discharge per unit flow width in the flow direction (kg m-1 s-1) 17 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion Flow sediment transport capacity is based on the flow shear stress tf (Foster, 1982) Tc h(t f t c ) h tf tc k k (kg m-1 s-1) coefficient of efficiency of sediment transport (m0.5 s2 kg –0.5 ) flow shear stress acting on the soil particles (Pa) critical shear stress of sediment (Pa) an exponent taken as 1.5 (Finkner et al.,1989) 18 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Numerical methods Hydrological model and erosion model are treated independently since it is assumed that the flow dynamics are not affected by the suspended sediment The Saint Venant equations are solved using the MacCormack scheme The mass balance equation for sediment is solved using a second-order centered explicit finite difference scheme For numerical stability of the scheme and computational efficiency the time step is optimised 19 Topographic elevations are re-estimated at each time step if there is runoff DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Numerical Model description methods Flow chart of PSEM_2D To avoid directional bias of the Mac Cormack scheme the order is reversed every time step (predictor-forward, corrector-backward then predictor-backward, corrector-forward). 20 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Initial and boundary conditions u=0 v=0 dummy cells h=h_inward c=c_inward Boundary conditions In the plot version the boundaries are 3 non porous walls and an open boundary (outlet) upslope v=0 Dummy cells are added to model wall boundary At the outlet no condition is required because the flow is supercritical u=0 inward boundaries u=0 y Initial condition At the beginning of the simulation h(x,y,0) = 0 u(x,y,0) = 0 v(x,y,0) = 0 downslope c(x,y,0) = 0 21 We consider that rainsplash transportation outside the plot is balanced by sediment coming from the area surrounding the plot. DYNAS Workshop, 6th-8th December 2004, INRIA Model description : Calibrated parameters Deposition Drd > 0 Dfd < 0 Detachment and redetachment by raindrop impact a ad Dfd > 0 Transport by runoff Detachment by runoff h tsoil Kr 22 Entrainment hf,f Tc > q s DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Data The model needs information on Slopes and elevations (Digital Elevation Model) Map of soil surface features distribution Infiltration parameters (hf, initial WC,Kc,Ks) Map of DW friction factor Soil erosion parameters (h,Kr, tsoil, D50) Map of a and ad, ad=10 a Rainfall (time, intensities) 23 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Parameter identfication The parameter identification is carried out in three stages We started with parameters estimation based on physical characteristics and published data Some of soil erosion parameters are defined using data available in the literature (ds=0.047, tsoil is estimated using the WEPP soil database) Calibration is undertaken for hf (crusted soils) and/or f on one rainfall event Calibration is undertaken for h,Kr, tsoil using the ranges of values found in the literature WEPP: Water Erosion Prediction Project (US Dept. Agr.) 24 DYNAS Workshop, 6th-8th December 2004, INRIA Applications of PRIM_2D 25 DYNAS Workshop, 6th-8th December 2004, INRIA Examples of application PRIM_2D Two runoff plots located on the same hillslope Homogeneous soil surface feature (ERO) one type of crust: erosion Heterogeneous surface feature (JAC) erosion crust and sandy aeolian micro mounds • Grid resolution 0.25 by 0.25 m • Both plots have the same subsoil • Initial soil water content were obtained from neutron probe measurements • Verification runs 26 DYNAS Workshop, 6th-8th December 2004, INRIA Examples of application PRIM_2D Homogeneous soil surface feature (ERO) Heterogeneous surface feature (JAC) Runoff plots in Niger (West Africa) 27 DYNAS Workshop, 6th-8th December 2004, INRIA Examples of application PRIM_2D JAC 20 Sandy mounds 18 Erosion crusts 0.95 16 ERO 12 12 10 10 8 8 6 6 4 4 2 2 28 0 0 0 2 4 0 2 Length (m) Width (m) Max slope (x) Max slope (y) JAC 14 14 JAC 20.0 5.0 0.19 0.17 4 Soil properties Soil texture s sat. W C (-) hf (m) Ks (m/s) Surface properties Erosion Zc (m) hf (m) Ks (m/s) f Sandy mounds Zc (m) hf (m) Ks (m/s) f ERO 14.25 5.0 0.12 0.21 ERO Loamy sand 0.296 1.3795 2.15 E-05 Loamy sand 0.296 1.3795 2.15 E-05 0.005 1.3795 1.70 E-08 0.25 0.005 1.3795 1.70 E-08 0.25 0.05 0.18 1.90 E-06 0.70th th DYNAS Workshop, 6 -8 December 2004, INRIA PRIM_2D Validation An exemple of validation run 160 Discharge and rainfall intensity (mm/h) 140 Rainfall Observed 120 04 september 94 Calculated 100 80 60 40 20 0 0 29 500 1000 1500 2000 2500 3000 Time (s) 3500 4000 4500 5000 DYNAS Workshop, 6th-8th December 2004, INRIA PRIM_2D Validation validation 30 1:1 Calculated (mm) Calculated (mm) Runoff depth calibration 40 20 10 40 calibration 35 validation 30 1:1 Infiltration depth 25 20 15 10 5 0 0 0 5 10 15 20 25 30 35 40 0 5 10 15 calibration 30 35 40 Maximum discharge 200 1:1 Calculated (mm/h) Calculated (s) Time to peak validation 3000 25 Observed (mm) Observed (mm) 4000 20 2000 1000 175 calibration 150 validation 125 1:1 100 75 50 25 0 0 0 1000 2000 Observed (s) 3000 4000 0 25 50 75 100 125 150 175 200 Observed (mm/h) 30 DYNAS Workshop, 6th-8th December 2004, INRIA Calculated (s) PRIM_2D Validation 700 calibration 600 validation 500 1:1 Time to begin runoff 400 300 200 100 0 0 100 200 300 400 500 600 700 Observed (s) 31 DYNAS Workshop, 6th-8th December 2004, INRIA Plot scale results Runoff and Rainfall intensity (mm/h) 160 ERO 25 august 94 20:31:00 140 120 Rainfall Observed 100 Computed 80 60 40 20 0 0 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 Time (s) Runoff and Rainfall intensity (mm/h) 160 JAC 25 august 94 20:31:00 140 120 Rainfall 100 Observed 80 Computed 60 40 20 0 0 32 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 Time (s) DYNAS Workshop, 6th-8th December 2004, INRIA Plot scale results Plot ERO obs. Rain (mm) 23.9 Ov. flow (mm) 14.3 ERO cal. 23.9 14.5 95.2 9.4 Rel. error - -1.9 % + 3.9 % + 1.3 % JAC Obs. 23.9 11.9 68.7 12.0 JAC cal. 23.9 11.3 69.2 12.6 - - 5.0 % + 0.7 % + 5.0 % Rel. error Efficiency ERO : 0.879 Peak disch. Infiltration (mm/h) (mm) 91.6 9.6 Efficiency JAC : 0.913 33 DYNAS Workshop, 6th-8th December 2004, INRIA Distributed results Time 789 s (max discharge) 20 JAC 18 14 14 12 JAC Velocities (m/s) 18 0.5 Water depth (m) 16 20 16 ERO 14 14 12 12 12 10 10 10 8 8 8 6 6 6 4 4 4 2 2 2 ERO 0.01 10 0.009 0.008 8 0.007 0.006 6 0.005 0.004 4 0.003 0.002 2 0.001 34 0 0 0 1 2 3 4 5 0 0 0 0 1 2 3 4 5 0 0 1 2 2004, 3 4 5 1 2Workshop, 3 4 DYNAS 65 th-8th December INRIA Distributed results JAC Time 789 s 20 Infiltration depth (m) 18 JAC 20 Shear velocities (m/s) 18 ERO 16 16 ERO 0.098 14 14 14 14 12 12 12 0.093 0.088 12 0.06 0.083 10 0.078 0.073 8 0.045 10 10 0.0445 8 0.05 8 0.04 8 6 0.03 6 0.068 6 0.063 0.058 4 6 0.044 0.048 35 0.043 0 0 1 2 3 4 5 0.02 4 4 0.053 2 10 0.0435 0.01 2 2 2 4 0 0.043 0 0 1 2 3 4 5 0 0 1DYNAS 2 3Workshop, 4 5 0 0 1 2004, 2 3 INRIA 4 5 6th-8th December Point results (m /s ) Velocities 20 0 .3 0 .2 0 .1 0 18 A small pond 16 0 500 1000 1500 2000 2500 0 500 1000 1500 2000 2500 0 500 1000 1500 2000 2500 Water depth 0 .0 1 (m ) 0 .0 0 7 5 14 0 .0 0 5 0 .0 0 2 5 0 12 Shear velocities C rill 10 8 0.06 (m /s ) B rill 0.04 0.02 0 D top 6 1500 4 mm/h 150 2 36 Rainfall 100 500 50 0 0 0 0 0 2 4 Reynolds 1000 0 500 1000 1500 2000 2500 500 1000 1500 2000 2500 T im e (s) DYNAS Workshop, 6th-8th December 2004, INRIA Effect of the microtopography The microtopography is represented by the topographic map of the plot (JAC) a plane surface with the same mean slope All other parameters are the same 37 DYNAS Workshop, 6th-8th December 2004, INRIA Runoff and Rainfall intensity (mm/h) Effect of the microtopography 100 90 80 70 60 50 40 30 20 10 0 25 august 94 20:31:00 Observed Computed Plan. Computed Topo. 0 200 400 Simulation 600 Rain (mm) Topography 23.9 800 1000 1200 Time (s) Ov. flow (mm) 11.3 1400 1600 1800 2000 2200 2400 Peak disch. Infiltration (mm/h) (mm) 69.2 12.6 Plane 23.9 11.1 73.0 12.8 Diff. - - 1.8 % + 5.5 % + 1.6 % 38 DYNAS Workshop, 6th-8th December 2004, INRIA Effect of the microtopography JAC PLAN JAC Distributed results Time 789 s 20 Water depth (m) 18 16 14 Vel. (m/s) 0.5 20 20 20 18 18 18 16 16 16 14 14 14 12 12 12 10 10 10 8 8 8 6 6 6 4 4 4 2 2 2 PLAN 0.01 12 0.009 0.008 10 0.007 8 0.006 0.005 6 0.004 4 0.003 2 0.002 39 0.001 0 0 1 2 3 4 5 0 0 0 0 0 2 4 0 DYNAS 2004, INRIA 0 2 4 1 2 Workshop, 3 4 5 6th-8th December Effect of the surface features distribution The soil surface features are represented by the soil surface feature map (JAC) the dominant surface feature (erosion crust) All the other parameters are the same 40 DYNAS Workshop, 6th-8th December 2004, INRIA Runoff and Rainfall intensity (mm/h) Effect of the surface features distribution 100 90 80 70 60 50 40 30 20 10 0 25 august 94 20:31:00 Observed Computed 1 SF Computed 2 SF 0 200 Simulation 41 400 600 800 1000 1200 1400 Time (s) 1600 1800 2000 2200 2400 2 Surf. feat. Rain (mm) 23.9 Ov. flow (mm) 11.3 1 Surf. Feat. 23.9 14.4 84.6 9.5 - + 27.4 % + 22.3 % - 24.6 % Diff. Peak disch. Infiltration (mm/h) (mm) 69.2 12.6 DYNAS Workshop, 6th-8th December 2004, INRIA Effect of the surface features distribution 20 JAC 1 SF JAC 2 SF 20 Time 589 s For this storm the time to ponding is 18 18 Water depth (m) 16 16 14 14 12 12 390 s for erosion crust 625 s for sandy mounds 0.007 10 0.006 0.005 8 10 8 0.004 6 6 0.003 4 4 0.002 0.001 2 42 2 0 0 0 0 2 4 0 2 4 DYNAS Workshop, 6th-8th December 2004, INRIA Key results Even in low relief plots, OF is not a sheet of flowing water, uniform in depth and velocity across the slope. OF concentrates downslope into deeper flow pathways Small surface feature may play a major role in the OF production from a plot A good reproduction of discharges at the outlet of a plot does not imply that OF hydraulics is correctly simulated Infiltration is not homogeneous all over the plot which is partly due to the effect of micro-topography Large variations in the OF hydraulics are due to the 43 variable rainfall rates and to the characteristics of the uphill areas DYNAS Workshop, 6th-8th December 2004, INRIA PSEM_2D Evaluation 44 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Experimental data Kilinc and Richardson (1973) experimental data A 1.52 m wide × 4.58 m long flume with an adjustable slope and a rainfall simulator. Each run was one hour long The flume was filled with compacted sandy soil composed of 90 % sand and 10 % silt and clay. The soil had a non-uniform size distribution with a median diameter D50 of 3.5 × 10-4 m. The soil surface was levelled and smoothed before each run. 45 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Experimental data Kilinc and Richardson (1973) experimental data The major controlled variables were rainfall intensity and soil surface slope. Infiltration and erodibility of surface were supposed constant. Six slopes (5.7, 10, 15, 20, 30, and 40 %) were tested Four rainfall intensities (32, 57, 93, and 117 mm h-1). Calibration was carried out using a run with 20 % slope and 93 mm h-1 rainfall intensity. 46 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Experimental data Data available • Flow discharge at the outlet of the flume • Mean sediment concentration in the flow at the outlet • Mean infiltration rate • No data were collected on microtopography and Overland flow hydraulics (water depth, velocity) 47 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Results Rain intensity, 93 mm h-1. Slopes, 15, 20, and 30 % 0.05 Observed, 30 % slope PSEM_2D, 30 % slope Sediment discharge (kg/m/s) 0.04 Govindaraju and Kavvas [1991], 30 % slope Observed, 20 % slope 0.03 PSEM_2D, 20 % slope (CALIBRATED) Govindaraju and Kavvas [1991], 20 % slope 0.02 Observed, 15 % slope PSEM_2D, 15 % slope 0.01 Govindaraju and Kavvas [1991], 15 % slope 0 48 0 10 20 30 40 50 60 Time (min) DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Results Rain intensity, 117 mm h-1. Slopes, 15, 20, and 30 % 0.07 Observed, 30 % slope Sediment discharge (kg/m/s) 0.06 PSEM_2D, 30 % slope Govindaraju and Kavvas [1991], 30 % slope 0.05 Observed, 20 % slope 0.04 PSEM_2D, 20 % slope Govindaraju and Kavvas [1991], 20 % slope 0.03 Observed, 15 % slope 0.02 PSEM_2D, 15 % slope 0.01 Govindaraju and Kavvas [1991], 15 % slope 0 49 0 10 20 30 40 50 60 Time (min) DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Results Singer and Walker [1983] experiment Slope 9% D50 of the soil: 2. 10-5 m 50 Sediment concentration (g/l) 45 40 35 30 25 20 15 10 5 0 0 5 10 15 20 25 30 35 Time (min) 50 Observed, 50 mm/h PSEM_2D, 50 mm/h (calibrated) Observed, 100 mm/h PSEM_2D, 100 mm/h Govindaraju and Kavvas [1991], 50 mm/h Govindaraju and Kavvas [1991], 100 mm/h DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Sensitivity analysis The range of variation of the parameters calibrated with the data of Singer and Walker [1983] 9 % slope and 50 mm h-1 rainfall intensity. 51 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Sensitivity analysis Variations in percentage of the mass sediment concentration versus variations in percentage of each tested parameter, all the other parameters keeping the calibrated value ds 500 Kr f 400 D50 tsoil 300 C variation (in %) a 200 h ld_initia l = 0.01 m 100 0 -500 0 500 1000 1500 2000 2500 -100 52 -200 parameter variation (in %) DYNAS Workshop, 6th-8th December 2004, INRIA PSEM_2D Applications 53 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application Plot 5 by 15 m a grid of 0.2 by 0.2 m Parameter values of Singer and Walker experiment Average slopes are 0.02 and 0.06 in the x and y directions. 54 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application: Effect of initial condition 0 200 20 180 40 160 60 140 80 120 100 100 120 80 140 60 160 40 180 20 200 55 0 20 40 60 80 time (min) 100 rainfall water discharge sediment concentration sediment concentration (without the first rainfall event) 120 0 140 water discharge (mm/h) and sediment concentration (g/L) rainfall intensity (mm/h) Effect of the formation of a deposited layer before the rainfall D50 = 20 µm DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application Erosion and deposition pattern on the plot at the end of the two consecutive rainfall events (time = 135 min after the beginning of the simulation) 0.005 m Deposition 0.004 m 0.003 m 0.002 m 0.001 m 0m -0.001 m D50 = 20 µm -0.002 m -0.003 m -0.004 m -0.005 m -0.006 m -0.007 m Erosion 56 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application Computed flow depths time = 124 min time = 27 min 0.004 m 0.004 m 0.0036 m 0.0036 m 0.0032 m 0.0032 m 0.0028 m 0.0028 m 0.0024 m 0.0024 m 0.002 m 0.002 m 0.0016 m 0.0016 m 0.0012 m 0.0012 m 0.0008 m 0.0008 m 0.0004 m 0.0004 m 0m 0m 57 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application 0 200 20 180 40 160 60 140 80 120 100 100 120 80 140 60 160 40 180 20 200 0 0 20 time (min) rainfall sediment concentration D50=12µm sediment concentration D50=100µm sediment concentration D50=500µm 40 water discharge (mm/h) and sediment concentration (g/L) rainfall intensity (mm/h) Hydrograph and related sedimentographs for different particle size diameter water discharge sediment concentration D50=20µm sediment concentration D50=200µm sediment concentration D50=1000µm 58 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application mass (kg) Contribution of the different processes to the sediment yield R Re-detachment 80 R Detachment Entrainment 60 F Detachment Deposition 40 20 0 -20 -40 59 12µm 15µm 20µm 100µm 200µm 500µm 1000µm Median diameter D50 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application Interrill versus Rill erosion: what does it change in terms of processes ? Hyetograph 0 20 rainfall intensity (mm/h) 40 60 80 100 120 140 160 180 200 0 20 time (min) 40 60 DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D application Comparaison interrills rills contributing processes to the total sediment yield Total sediment mass 100% 80% 29 % R Detachment Entrainment F Detachment 60% 40% R Re-detachment 95 % 64 % 20% 0% 61 1m*1m plot plot size Deposition represents 0.7 % of the total mass eroded 15m*5m plot Deposition represents 11.4 % of the total mass eroded DYNAS Workshop, 6th-8th December 2004, INRIA Some key issues Runoff production limited to excess rainfall Sources and sinks of sediment vary with the magnitude of the events The soil erodibility coefficients have not yet been quantitatively related to a measurable soil property and must therefore be determined empirically or calibrated Model calibration, a lot of parameter to determine More complex models increase data requirement and … Increase data and model uncertainty, which affects model results Propagation of errors in input data Model structural errors Uncertainty associated with evaluation of model parameters Problem of the model evaluation (spatial field data) “the right answer for the wrong reason” 62 DYNAS Workshop, 6th-8th December 2004, INRIA As a conclusion Future research Overland flow hydraulics To improve the prediction of the flow resistance from surface roughness To analyse the respective effects of roughness and micro topography Modelling erosion To validate the model for complex microrelief and natural rainfall events : new experiments To improve the representation of the flow detachment at the subgrid level To implement a multiclass sediment representation To test alternative parametrisation of the transport capacity 63 Unit stream power Govers equation (1990) DYNAS Workshop, 6th-8th December 2004, INRIA Thank you for your attention 64 DYNAS Workshop, 6th-8th December 2004, INRIA Expériences utilisées pour le calibrage et: l’évaluation du modèle Psem_2D Evaluation Experimental data Singer and Walker (1983) experimental data 65 The experiment set up was a laboratory flume (3.0 by 0.55 m) and a rainfall simulator. The flume was filled with 200 kg of compacted moist fresh soil to produce a 0.08 m thick bed. The soil was a fine sandy loam with a clay content of 13.9 % and a high amount of silt plus very fine sand (59.2 % in the range 2.10-6 –1. 10-4 m). The D50 of the soil was 2. 10-5 m. The final soil surface was smooth and hard to the touch. The slope was constant and equal to 9 %. The major control variable was rainfall intensity. Bare soil surfaces were tested with two rainfall intensities (50 and 100 mm h-1) constant during 30 minutes. Calibration of soil erosion parameters 50 mm h-1 DYNAS Workshop, 6th-8th December 2004, INRIA Model description: Soil erosion The sediment discharge per unit flow width in the flow direction qs is defined by: The flow shear stress in the flow direction is expressed as: The critical shear stress tc is that of a spherical sediment particle expressed as [Yang, 1996]: 66 ds is the the critical dimensionless shear stress of the particle DYNAS Workshop, 6th-8th December 2004, INRIA Psem_2D Evaluation : Model parametrisation Values of the parameters 67 DYNAS Workshop, 6th-8th December 2004, INRIA