Development and testing of improved physically based streambank erosion and sediment routing routines in SWAT

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Development and testing of improved physically based streambank erosion and sediment routing routines in SWAT Balaji Narasimhan, P. M. Allen, Stephanie Capello, and Dave Coffman, J.G. Arnold, and R. Srinivasan

Outline Channel Erosion Sediment Routing In SWAT2000 and SWAT2005 Physically based approach Erosion Transportation Deposition Field monitoring and model results

Channel Erosion Channel erosion Can account for as much as 85% of total sediment yield of a watershed Predicted loss in 3 km channel erosion = 1000 years of sheet and rill erosion at preconservation agriculture rates

Channel Erosion Three major processes Subaerial processes Climate Alternate wet and dry cycles Freeze/Thaw cycles Cracking Fluvial erosion (Hydraulic Erosion) Removal of particles by streamflow Bank Failure Caused due to slope instability

SWAT2000 and 2005 Simplified Bagnold stream power equation conc sed, mx spcon v sp ch exp sed ) V deg Channel erosion ( conc sed, mx conc sed, ch limited only by the stream power or transport capacity but not by limits on sediment supply from the actual erosion process ch K ch C ch

SWAT2000 and 2005 No particle size distribution of eroded sediment No bedload Hence, TSS calculated from sediment yield is often high and not directly comparable with observations

Organic nutrient load Are we missing to quantify a significant organic nutrient load from stream bank and attributing the nutrient loads only to overland? Cedar Creek, Texas 8% of orgn and 15% of orgp from channel erosion Channel erosion 35% of total sediment yield Hence, accurate quantification of channel erosion is very important

Complex Process: Simplify Soil Zone Slake Zone Bed Load Rock Zone

Fluvial Erosion Process For the erosion to occur There should be enough shear stress exerted by the flowing water on stream bank and stream bed to dislodge the sediments The channel should have enough stream power to carry the eroded sediments (overland+channel) Deposition will occur if the sediment transport capacity is low

Wash-load particle size distribution Sediment yield from overland (MUSLE) is partitioned using the approach used in CREAMS

Stream bank/bed erosion load particle distribution Channel bank and bed D50

Shear Stress Critical shear stress (τ c ) Soil parameter that governs erosion Erosion based on excess shear stress: a bank kd, ( ) 10 bank e, bank e, bed c, bank c, bed where ξ erosion rates of the bank and bed (m/s), k d erodibility coefficient of bank and bed (cm 3 /N-s) and τ c Critical shear stress acting on bank and bed (N/m 2 ). 6 a bed kd, ( ) 10 bed 6

Critical Shear Stress and Erodibility Coefficient Submerged Jet Test (Hanson and Cook, 1997; Hanson and Simon, 2001) Erodibility calculated as a function of jet index J i Jet index (depth of scour hole made by the jet per unit time Hanson and Simon, 2001 I w Plasticity Index

Empirical Equation for τ c Range mostly between: 0 and 100 N/m 2 But could go as High as 400 N/m 2 Julian and Torres, 2001

Shear Stress Effective shear stress based on channel hydraulics: (Eaton and Millar, 2004) e, bank SFbank ( W Pbed ) sin depth slpch 100 4 depth w e, bed depth slp ch 1 SF bank 100 W 2 P bed 0.5 log SF bank 1.4026 log P P bed bank 1.5 2.247

Empirical Equation for K d Erodibility Coefficient, K d : (Temple and Hanson, 1994; Zhu et al. 2006) K M C d e 0.0034exp ( s 1) 9.8 D 3 ( s 1) C 4.14( Clay%) 0.0176 M e 50 0.91 0.5 Where s is relative density of sediment Range mostly between 0 and 0.01 cm 3 /N-s but could go As high as 3.75 cm 3 /N-s for highly erodible material

Stream Power/Transport Capacity Four new transport equations Simplified Bagnold Equation Silt type bed material conc sed, mx spcon v sp ch exp Kodatie model Silt to gravel size bed materials Molinas and Wu model Large sand bed rivers Yangs sand and gravel model Sand and gravel bed material

Kodatie Model Kodatie (2000) conc sed, ch. mx a b ch Q in y c S d W W 2 btm a, b, c and d coefficients depend on D 50

Molinas and Wu Model Molinas and Wu (2001): C w 1.5 0.86 6 1430 10 0.016 v 3 ch depth ( S 1) 50 log g g depth 10 D50 2 50 411 D 3600 2 50 conc sed, ch. mx C w C w (1 C w ) S g S g

Yangs Sand and Gravel Model Sand equation: (D 50 less than 2mm): log C w 50D 5.435 0.286 log 50D 1.799 0.409 log 50 chs log 50 Vcr S Gravel equation: (D 50 between 2mm and 10mm) log C w 50D 6.681 0.633log 50D 2.784 0.305log 50 50 50 V* 0.457 log V* 0.314 log V* 4.816 log V* 0.282 log 50 50 50 50 chs log 50 Vcr S 50 50

Selecting the appropriate model Model Gravel Sand Very Fine sand and silt Bagnold X X Kodatie X X X Molinas and Wu X Yangs X X

Deposition If the sediment concentration in the channel is more than the transport capacity then deposition occurs: Einstein equation (1965): Dep x fract 1 1 x e 1.055 Lch v depth Flood plain deposition ch If the streamflow goes overbank 50 50 411 D 3600 2 50

Excess transport capacity SedEx Vch conc sed, ch. mx conc sed, ch. i Excess sediment beyond transport capacity is also deposited But the channel is eroded only based on excess shear stress and not the available transport capacity Bank scour always occurs when excess shear stress is available Bed scour occurs only after all the deposited bed materials are scoured

Study Area Kings Creek Watershed

Field Data Collection Stage height Erosion rate (mm/event) Channel dimension Particle size distribution Submerged jet test Erodibility Period: 2007

Flow Calibration (1971-1987)

Flow Validation (2007)

Model Inputs Default model spcon, spexp, CH_cov, CH_Erod Physically based models D50 Median particle size of bank and bed material Cover factor of bank and bed Critical shear stress of bank and bed If not given, calculated based on SC% and cover Erodibility coefficient of bank and bed If not given, calculated based on SC% Bulk density of bank and bed If not given, calculated based on SC% Particle size distribution of bank and bed material Assumed based on the D50 size

Model Output File name: output.sed Default Total sediment Bed erosion, deposition, TSS Physically based models Total sediment Sand, silt, clay, SAGG, LAGG, gravel Bank erosion Bed erosion Channel deposition / Flood plain deposition Total remaining in deposits at the end of the time step TSS Only based on silt and clay particles

Conclusion Already most of the code is available in the present release Few changes are being made to represent the mass balance in a better way Detailed calibration and validation study is underway to evaluate the new routines New Components Active channel eroding length based on channel sinuosity Effect of alternate wetting and drying on erodibility

Thank You