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Comprehensive modelling of runoff-generated debris flow from formation to propagation in a catchment

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Abstract

This study aimed to develop an integrated model of the runoff-generated debris flow that considers the initial conditions, movement mechanisms, and entrainment effect. The study focused on the formation and propagation processes of debris flow within a catchment, and the process is divided into three stages: rainfall infiltration, runoff, and debris flow routing. Soil saturation, rainfall, and entrainment are the main factors that influence the debris flow formation and propagation processes. Existing models for each stage, including Richards’s equations, shallow water equations, and two-phase debris flow equations, were coupled. The tridiagonal matrix algorithm and finite volume method were applied to solve these equations. Finally, several experimental cases and the 2010 debris flow event in the Hongchun catchment in China were simulated by using the proposed model. The results showed that the proposed model could effectively describe the behaviours of each stage during the debris flow formation and propagation processes. Although several aspects of the model require further improvement, the physical-parameter-based prediction of runoff-generated debris flows from formation to propagation is effectively performed by the model.

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Abbreviations

A :

coefficient related to the mobility of the fluid at the interface (-)

c :

volumetric sediment concentration (-)

C a :

near-bed volumetric sediment concentration (-)

C D :

drag coefficient of debris flow (-)

co :

cohesion of the bed material (Pa)

d :

grain diameter of bed sediment (m)

D :

hydraulic diffusivity tensor (cm2/min)

D r :

deposition flux (m/s)

E f :

fluid flux per unit area between debris flow and bed (ms−1)

E r :

entrainment flux (m/s)

E s :

solid flux per unit area between debris flow and bed (ms−1)

F :

fluid-like contribution in generalized drag (-)

g :

(gx, gy, gz) gravitational acceleration (m/s2)

G :

solid-like contribution in generalized drag (-)

h :

runoff depth (m)

H :

typical height of flow (m)

I :

infiltration rate (cm/min)

J :

exponent for linear or quadratic drag (-)

k :

(kx, ky), earth pressure coefficient of debris flow (-)

K :

hydraulic conductivity tensor (cm/min)

L :

typical extent of flow (m)

M e :

a parameter depending on Reynolds number (-)

n b :

Manning friction coefficient (-)

(NR, NRA):

dimensionless parameter (-)

(pbs, pbf):

pressure coefficient of debris flow (-)

P :

a parameter which combines the solid-like and fluid-like drag contributions to flow resistance (-)

R :

rainfall intensity (cm/min)

R ep :

particle Reynolds number (-)

(Rm, α, αc, s, m, Vm, U):

coefficient related to entrainment of non-cohesive sediment (-)

(Sfx, Sfy):

friction slope (-)

t :

time (s)

(u, v):

runoff depth-averaged velocity (m/s)

u * :

(u*, v*), phase-averaged velocity of debris flow (ms−1)

u f :

(uf, vf), velocity for the fluid phase (ms−1)

u f b :

(ufb, vfb), erosion velocity for the fluid phase at the bottom boundary (ms−1)

u s :

(us, vs), velocity for the solid phase (ms−1)

u s b :

(usb, vsb), erosion velocity for the solid phase at the bottom boundary (ms−1)

V T :

terminal velocity of a particle falling in a fluid (ms−1)

x, y, z :

coordinate lines/flow directions (-)

z b :

basal topography elevation (m)

α f :

volumetric fraction for the fluid phase of debris flow (-)

α s :

volumetric fraction for the solid phase of debris flow (-)

βxs, βxf, βys, βyf :

combined parameter(-)

γ :

density ratio (-)

ε :

aspect ratio of debris flow (-)

(ζ, uc, δ):

coefficient related to entrainment of cohesive sediment (-)

η :

pore pressure ratio of the bed material (-)

θ :

soil moisture content (-)

θ m :

initial soil moisture content (-)

θ s :

maximum soil moisture content (-)

μc :

pure fluid viscosity (Pa s)

μf :

viscosity of the fluid phase of debris flow (Pa s)

ρ :

water–sediment mixture density (kg/m3)

ρ f :

water density (kg/m3)

ρ s :

solid density (kg/m3)

ρ * :

mixture density of debris flow (kg m−3)

τ b :

total basal shear traction (N)

τ bf :

basal shear stress for the fluid phase (N)

τ bs :

basal shear stress for the solid phase (N)

τ r :

sediment shear resistance from the erodible bed (N)

υ :

the water kinematic viscosity (m2/s)

φ bed :

Coulomb friction angle of the basal surface (°)

φ bin :

internal friction angle of the bed material (°)

χ :

velocity shape factor in vertical direction (-)

ω:

particle settling velocity (m/s)

References

  • Adhikari DP, Koshimizu S (2005) Debris flow disaster at Larcha, upper Bhotekoshi Valley, central Nepal. Island Arc 14(4):410–423

    Google Scholar 

  • Allen SK, Rastner P, Arora M, Huggel C, Stoffel M (2016) Lake outburst and debris flow disaster at Kedarnath, June 2013: hydrometeorological triggering and topographic predisposition. Landslides 13(6):1479–1491

    Google Scholar 

  • Audusse E, Bouchut F, Bristeau MO, Klein R, Perthame BT (2004) A fast and stable well-balanced scheme with hydrostatic reconstruction for shallow water flows. SIAM J Sci Comp 25(6):2050–2065

    Google Scholar 

  • Bardou E, Boivin P, Pfeifer HR (2007) Properties of debris flow deposits and source materials compared: implications for debris flow characterization. Sedimentology 54(2):469–480

    Google Scholar 

  • Berti M, Simoni A (2005) Experimental evidences and numerical modelling of debris flow initiated by channel runoff. Landslides 2(3):171–182

    Google Scholar 

  • Beverage JP, Culbertson JK (1964) Hyper concentrations of suspended sediment. J Hydraul Div 90(6):117–128

    Google Scholar 

  • Boreggio, M., Bernard, M., & Gregoretti, C.(2018).Evaluating the influence of gridding techniques for digital elevation models generation on the debris flow routing modelling: a case study from Rovinadi Cancia basin (North-eastern Italian Alps). Front Earth Sci

  • Bouchut F, Mangeney-Castelnau A, Perthame B, Vilotte JP (2003) A new model of Saint Venant and Savage–Hutter type for gravity driven shallow water flows. Comptes Rendus Mathematique 336(6):531–536

    Google Scholar 

  • Bout B, Lombardo L, van Westen CJ, Jetten VG (2018) Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures. Environ Model Softw 105:1–16

    Google Scholar 

  • Bradford SF, Sanders BF (2002) Finite-volume model for shallow-water flooding of arbitrary topography. J Hydraul Eng 128(3):289–298

    Google Scholar 

  • Brown PP, Lawler DF (2003) Sphere drag and settling velocity revisited. J Environ Eng 129(3):222–231

    Google Scholar 

  • Cao Z (1999) Equilibrium near-bed concentration of suspended sediment. J Hydraul Eng 125(12):1270–1278

    Google Scholar 

  • Cao Z, Pender G, Wallis S, Carling P (2004) Computational dam-break hydraulics over erodible sediment bed. J Hydraul Eng 130(7):689–703

    Google Scholar 

  • Chen HX, Zhang LM, Zhang S (2014) Evolution of debris flow properties and physical interactions in debris-flow mixtures in the Wenchuan earthquake zone. Eng Geol 182:136–147

    Google Scholar 

  • Coe JA, Kinner DA, Godt JW (2008) Initiation conditions for debris flows generated by runoff at Chalk Cliffs, central Colorado. Geomorphology 96(3-4):270–297

    Google Scholar 

  • Costa JE (1988). Rheologic, geomorphic and sedimentologic differentiation of water floods, hyperconcentrated flows and debris flows. Flood Geomorphol 113-122.

  • De Haas T, Van Woerkom T (2016) Bed scour by debris flows: experimental investigation of effects of debris‐flow composition. Earth Surf Process Landf 41(13):1951–1966

    Google Scholar 

  • Decaulne A, Sæmundsson Þ, Petursson O (2005) Debris flow triggered by rapid snowmelt: a case study in the Glei. Arhjalli Area, Northwestern Iceland. Geografiska Annaler: Series A, Physical Geography 87(4):487–500

    Google Scholar 

  • Di Giammarco P, Todini E, Lamberti P (1996) A conservative finite elements approach to overland flow: the control volume finite element formulation. J Hydrol 175:267–291

    Google Scholar 

  • Egashira S, Honda N, Itoh T (2001) Experimental study on the entrainment of bed material into debris flow. Physics Chem Earth Part C: Solar, Terrestrial & Planetary Science 26(9):645–650

    Google Scholar 

  • Fischer JT, Kowalski J, Pudasaini SP (2012) Topographic curvature effects in applied avalanche modeling. Cold Reg Sci Technol 74:21–30

    Google Scholar 

  • Furman A (2008) Modeling coupled surface–subsurface flow processes: a review. Vadose Zone J 7(2):741–756

    Google Scholar 

  • Gan JJ, Sun HY, Huang RQ, Tan Y, Fang CR, Li QY, Xu XG (2012) Study on mechanism of formation and river blocking of Hongchuangou giant debris flow at Yingxiu of Wenchuan County. J Catastrophol 27(1):5–9

    Google Scholar 

  • George DL, Iverson RM (2014) A depth-averaged debris-flow model that includes the effects of evolving dilatancy. II. Numerical predictions and experimental tests. Proc R Soc A 470(2170):20130820

    Google Scholar 

  • Gray JMNT, Wieland M, Hutter K (1999) Gravity-driven free surface flow of granular avalanches over complex basal topography. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 455(1985):1841–1874

    Google Scholar 

  • Gregoretti C (2000) The initiation of debris flow at high slopes: experimental results. J Hydraul Res 38(2):83–88

    Google Scholar 

  • Gregoretti C, Degetto M, Bernard M, Boreggio M (2018) The debris flow occurred at Ru Secco Creek, Venetian Dolomites, on 4 August 2015: Analysis of the phenomenon, its characteristics and reproduction by models. Front Earth Sci 6:80

    Google Scholar 

  • Gregoretti C, Stancanelli LM, Bernard M, Boreggio M, Degetto M, Lanzoni S (2019) Relevance of erosion processes when modelling in-channel gravel debris flows for efficient hazard assessment. J Hydrol 568:575–591

    Google Scholar 

  • Hsueh YL, Yang MC, Chang HC (1999) Three-dimensional noniterative full-vectorial beam propagation method based on the alternating direction implicit method. J Lightwave Technol 17(11):2389

    Google Scholar 

  • Huang RQ, Li AW (2009) Analysis of the geo-hazards triggered by the 12 May 2008 Wenchuan Earthquake, China. Bull Eng Geol Environ 68(3):363–371

    Google Scholar 

  • Huang X, Tang C (2017) Quantitative analysis of dynamic features for entrainment-outburst-induced catastrophic debris flows in Wenchuan earthquake area. J Eng Geol 25(6):1491–1500

    Google Scholar 

  • Huebl J, Steinwendtner H (2000) Debris flow hazard assessment and risk mitigation. Felsbau–Rock and Soil Eng 1(2000):17–23

    Google Scholar 

  • Ishii M, Mishima K (1984) Two-fluid model and hydrodynamic constitutive relations. Nucl Eng Des 82(2-3):107–126

    Google Scholar 

  • Iverson RM (2005) Debris-flow mechanics. In: Debris-flow hazards and related phenomena. Springer, Berlin, pp 105–134

    Google Scholar 

  • Iverson RM, George DL (2014) A depth-averaged debris-flow model that includes the effects of evolving dilatancy. I. Physical basis. Proc R Soc A 470(2170):20130819

    Google Scholar 

  • Iverson RM, Ouyang C (2015) Entrainment of bed material by Earth-surface mass flows: review and reformulation of depth‐integrated theory. Rev Geophys 53(1):27–58

    Google Scholar 

  • Iverson RM, Reid ME, LaHusen RG (1997) Debris-flow mobilization from landslides. Annu Rev Earth Planet Sci 25(1):85–138

    Google Scholar 

  • Iverson RM, Reid ME, Logan M, LaHusen RG, Godt JW, Griswold JP (2011) Positive feedback and momentum growth during debris-flow entrainment of wet bed sediment. Nat Geosci 4(2):116

    Google Scholar 

  • Izumi N, Parker G (2000) Linear stability analysis of channel inception: downstream-driven theory. J Fluid Mech 419:239–262

    Google Scholar 

  • Kattel P, Khattri KB, Pokhrel PR, Kafle J, Tuladhar BM, Pudasaini SP (2016) Simulating glacial lake outburst floods with a two-phase mass flow model. Ann Glaciol 57(71):349–358

    Google Scholar 

  • Kavetski D, Binning P, Sloan SW (2001) Adaptive time stepping and error control in a mass conservative numerical solution of the mixed form of Richards equation. Adv Water Resour 24(6):595–605

    Google Scholar 

  • Kean JW, McCoy SW, Tucker GE, Staley DM, Coe JA (2013) Runoff-generated debris flows: Observations and modeling of surge initiation, magnitude, and frequency. J Geophys Res Earth Surf 118(4):2190–2207

    Google Scholar 

  • Le MH (2014). Study on the dynamic characteristics of break debris flow and its numerical simulation in Meizoseismal areas. Chengdu Univ Technol.

  • Li S, Duffy CJ (2011) Fully coupled approach to modeling shallow water flow, sediment transport, and bed evolution in rivers. Water Resour Res 47(3)

  • Li DH, Xu XN, Ji F, Cao N (2013) Engineering management and its effect of the large debris flow at Hongchong Vally in Yingxiu town, WEnchuan county. J Eng Geol 21(2):260–268

    Google Scholar 

  • Liang Q, Borthwick AG (2009) Adaptive quadtree simulation of shallow flows with wet–dry fronts over complex topography. Comput Fluids 38(2):221–234

    Google Scholar 

  • Lin CW, Shieh CL, Yuan BD, Shieh YC, Liu SH, Lee SY (2004) Impact of Chi-Chi earthquake on the occurrence of landslides and debris flows: example from the Chenyulan River watershed, Nantou, Taiwan. Eng Geol 71(1-2):49–61

    Google Scholar 

  • Liu W, He SM, Li XP, Xu Q (2016) Two-dimensional landslide dynamic simulation based on a velocity-weakening friction law. Landslides 13(5):957–965

  • Liu W, He SM (2017) Simulation of two-phase debris flow scouring bridge pier. J Mt Sci 14(11):2168–2181

    Google Scholar 

  • Luna BQ, Remaître A, Van Asch TW, Malet JP, Van Westen CJ (2012) Analysis of debris flow behavior with a one dimensional run-out model incorporating entrainment. Eng Geol 128:63–75

    Google Scholar 

  • Luna BQ, Blahut J, Camera C, van Westen C, Apuani T, Jetten V, Sterlacchini S (2014) Physically based dynamic run-out modelling for quantitative debris flow risk assessment: a case study in Tresenda, northern Italy. Environ Earth Sci 72(3):645–661

    Google Scholar 

  • Ma C, Deng J, Wang R (2018) Analysis of the triggering conditions and erosion of a runoff-triggered debris flow in Miyun County, Beijing, China. Landslides 15(12):2475–2485

    Google Scholar 

  • Manninen M, Taivassalo V, & Kallio S (1996). On the mixture model for multiphase flow.

  • McDougall S, Hungr O (2005) Dynamic modelling of entrainment in rapid landslides. Can Geotech J 42(5):1437–1448

    Google Scholar 

  • McGuire LA, Rengers FK, Kean JW, Staley DM (2017) Debris flow initiation by runoff in a recently burned basin: is grain‐by‐grain sediment bulking or en masse failure to blame? Geophys Res Lett 44(14):7310–7319

    Google Scholar 

  • Medina V, Hürlimann M, Bateman A (2008) Application of FLATModel, a 2D finite volume code, to debris flows in the northeastern part of the Iberian Peninsula. Landslides 5(1):127–142

    Google Scholar 

  • Mergili M, Jan-Thomas F, Krenn J, Pudasaini SP (2017) r. avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows. Geosci Model Dev 10(2):–553

  • Mergili M, Emmer A, Juřicová A, Cochachin A, Fischer JT, Huggel C, Pudasaini SP (2018) How well can we simulate complex hydro‐geomorphic process chains? The 2012 multi‐lake outburst flood in the Santa Cruz Valley (Cordillera Blanca, Perú). Earth Surf Process Landf 43(7):1373–1389

    Google Scholar 

  • Mooney M, Hermonat WA (1955) Effect of swelling or of an adsorbed layer on the viscosity of a suspension of spherical particles. J Colloid Sci 10(1):121–122

    Google Scholar 

  • Ni, H. Y., Zheng, W. M., Tie, Y. B., Su, P. C., Tang, Y. Q., Xu, R. G., ..., & Chen, X. Y. (2012). Formation and characteristics of post-earthquake debris flow: a case study from Wenjia gully in Mianzhu, Sichuan, SW China. Nat Hazards 61(2), 317-335

  • Ouyang C, He S, Tang C (2015) Numerical analysis of dynamics of debris flow over erodible beds in Wenchuan earthquake-induced area. Eng Geol 194:62–72

    Google Scholar 

  • Pachepsky Y, Timlin D, Rawls W (2003) Generalized Richards’ equation to simulate water transport in unsaturated soils. J Hydrol 272(1-4):3–13

    Google Scholar 

  • Pierson TC (2005) Hyperconcentrated flow—transitional process between water flow and debris flow, In Debris-flow hazards and related phenomena (pp. 159-202). Springer, Berlin

    Google Scholar 

  • Pierson TC, Costa JE (1987) A rheologic classification of subaerial sediment-water flows. Debris flows/avalanches: process, recognition, and mitigation. Rev Eng Geol 7:1–12

    Google Scholar 

  • Pierson TC, Scott KM (1985) Downstream dilution of a lahar: transition from debris flow to hyperconcentrated streamflow. Water Resour Res 21(10):1511–1524

    Google Scholar 

  • Pitman EB, Le L (2005) A two-fluid model for avalanche and debris flows. Philos Trans R Soc A Math Phys Eng Sci 363(1832):1573–1601

    Google Scholar 

  • Pitman EB, Nichita CC, Patra AK, Bauer AC, Bursik M, Weber A (2003) A model of granular flows over an erodible surface. Discrete Continuous Dynam Syst B 3(4):589–600

    Google Scholar 

  • Pudasaini SP (2012) A general two-phase debris flow model. J Geophys Res Earth Surf 117(F3)

  • Pudasaini SP, Fischer JT (2016a) A mechanical erosion model for two-phase mass flows. arXiv preprint arXiv:1610.01806

    Google Scholar 

  • Pudasaini SP, & Fischer JT (2016b). A mechanical model for phase-separation in debris flow. arXiv preprint arXiv 1610.03649.

  • Pudasaini SP, & Hutter K (2007). Avalanche dynamics: dynamics of rapid flows of dense granular avalanches. Springer Science & Business Media.

  • Qian, Y., Yang, W., Zhao, W., Cheng, X., Zhang, L., & Xu, W. (1980). Basic characteristics of flow with hyperconcentration of sediment. In Proceedings of the International Symposium on River Sedimentation (pp. 175-184). Chinese Society of Hydraulic Engineering Beijing.

  • Reid ME, Iverson RM, Logan M, La Husen RG, Godt JW, Griswold JP (2011) Entrainment of bed sediment by debris flows: results from large-scale experiments. In: Genevois R, Hamilton DL, Prestinizi A (eds) 0. Casa Editrice Universita La Sapienza, Rome, pp 367–374

    Google Scholar 

  • Rickenmann D (1991) Hyperconcentrated flow and sediment transport at steep slopes. J Hydraul Eng 117(11):1419–1439

    Google Scholar 

  • Rutgers IR (1962) Relative viscosity of suspensions of rigid spheres in Newtonian liquids. Rheol Acta 2(3):202–210

    Google Scholar 

  • Sato HP, Harp EL (2009) Interpretation of earthquake-induced landslides triggered by the 12 May 2008, M7. 9 Wenchuan earthquake in the Beichuan area, Sichuan Province, China using satellite imagery and Google Earth. Landslides 6(2):153–159

    Google Scholar 

  • Simpson G, Castelltort S (2006) Coupled model of surface water flow, sediment transport and morphological evolution. Comput Geosci 32(10):1600–1614

    Google Scholar 

  • Staley DM, Kean JW, Cannon SH, Schmidt KM, Laber JL (2012) Objective definition of rainfall intensity-duration thresholds for the initiation of post-fire debris flows in Southern California. Landslides 10(5):547–562

    Google Scholar 

  • Tang C, Zhu J, Li WL, Liang JT (2009) Rainfall-triggered debris flows following the Wenchuan earthquake. Bull Eng Geol Environ 68(2):187–194

    Google Scholar 

  • Tang C, Zhu J, Ding J, Cui XF, Chen L, Zhang JS (2011) Catastrophic debris flows triggered by a 14 August 2010 rainfall at the epicenter of the Wenchuan earthquake. Landslides 8(4):485–497

    Google Scholar 

  • Vander Kwaak JE (1999). Numerical simulation of flow and chemical transport in integrated surface-subsurface hydrologic systems.

  • Wang D, Chen Z, He S, Liu Y, Tang H (2018) Measuring and estimating the impact pressure of debris flows on bridge piers based on large-scale laboratory experiments. Landslides 15(1331–1345):1–15

    Google Scholar 

  • Warrick AW, Lomen DO, Islas A (1990) An analytical solution to Richards' equation for a draining soil profile. Water Resour Res 26(2):253–258

    Google Scholar 

  • Wei ZL, Xu YP, Sun HY, Xie W, Wu G (2018) Predicting the occurrence of channelized debris flow by an integrated cascading model: a case study of a small debris flow-prone catchment in Zhejiang Province, China. Geomorphology 308:78–90

    Google Scholar 

  • Wieczorek GF, Glade T (2005) Climatic factors influencing occurrence of debris flows. In: In Debris-flow hazards and related phenomena. Springer, Berlin, pp 325–362

    Google Scholar 

  • Xu Q, Zhang S, Li WL, Van Asch TW (2012) The 13 August 2010 catastrophic debris flows after the 2008 Wenchuan earthquake, China. Nat Hazards Earth Syst Sci 12:201–216

    Google Scholar 

  • Yang SX, Lei ZD, Xie SC (1985) General program of one-dimensional flow through unsaturated homogeneous soil. Acta Pedol Sin 1:002

    Google Scholar 

  • Zhang JH, He MR, Tang SJ (1992) Studies on the movement characteristics of one-dimensional saturated and unsaturated water flux in purple soils in the hilly regions of Sichuan. J Southwest Agricl Univ 14(2):77–81

    Google Scholar 

  • Zhou SY, Gao L, Zhang LM (2019) Predicting debris-flow clusters under extreme rainstorms: a case study on Hong Kong Island. Bull Eng Geol Environ 78(5775–94):1–20

    Google Scholar 

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Funding

This work was supported by the Original Innovation Program-CAS (grant no. ZDBS-LY-DQC039), National Natural Science Foundation of China (grant nos. 41907241, 41790433), NSFCICIMOD (grant no. 41661144041), and CAS “Light of West China” Program.

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Correspondence to Siming He.

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Key Points

• An integrated model, which couples initial conditions, movement mechanisms, and entrainment effects, of debris flow formation and propagation processes is presented.

• Experimental and case applications support the model’s reliability in simulating infiltration, runoff, entrainment, and debris flow propagation.

• The model facilitates hazard and risk assessment applications.

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Liu, W., He, S. Comprehensive modelling of runoff-generated debris flow from formation to propagation in a catchment. Landslides 17, 1529–1544 (2020). https://doi.org/10.1007/s10346-020-01383-w

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