Abstract
Evaluating the hazards of debris flows is necessary for risk assessment. The May 12, 2008 earthquake in Wenchuan County, China caused many landslides and loose slopes. Under continuous or heavy rainfall, the landslides and loose slopes are easily destabilized and provide huge amounts of material source for debris flows, significantly increasing the hazard level of associated disasters. Moreover, the hazard of debris flows is not always constant, but variable over time because of the changes in influencing factors (e.g., geomorphology, rainfall conditions, and earthquakes). This study proposes a coupled model based on the TRIGRS (Transient Rainfall Infiltration and Grid based Regional Slope-stability Model) and Flow-R (Flow path assessment of gravitational hazards at a Regional scale) models for a dynamic hazard assessment of debris flows applied in a small watershed, Bayi Gully. This coupled model considers the impact of the actual rainfall process, potential debris sources on slope surfaces, and existing loose sources in the debris flow channel. The results indicate that (1) the hazard assessment by the coupled model is superior to that by the static Flow-R model; (2) the spatial distribution of landslides, debris flow sources, debris flow hazard areas, hazard probability, and debris flow energy vary with rainfall duration; and (3) the debris flow hazard area is strongly affected by topographic and geomorphic factors. Thus, the coupled model provides a powerful and robust tool for the hazard assessment and disaster prevention and mitigation of debris flows.
Similar content being viewed by others
Data availability and material
The data are not publicly available due to privacy or ethical restrictions.
References
Alvioli M, Baum RL (2016) Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface. Environ Modell Softw 81:122–135. https://doi.org/10.1016/j.envsoft.2016.04.002
Baum RL, Savage WZ, Godt JW (2002) TRIGRS—a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis. US Geol Surv Open-File Rep 424:38. https://doi.org/10.3133/ofr02424
Baum RL, Godt JW, Savage WZ (2010) Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration. J Geophys Res. https://doi.org/10.1029/2009JF001321
Baum RL, Savage WZ, Godt JW (2008) TRIGRS—a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis version 2.0 (No. 2008–1159). US. Geological Survey. https://doi.org/10.3133/ofr20081159
Bernard M, Boreggio M, Degetto M, Gregoretti C (2019) Model-based approach for design and performance evaluation of works controlling stony debris flows with an application to a case study at Rovina di Cancia (Venetian Dolomites, Northeast Italy). Sci Total Environ 688:1373–1388. https://doi.org/10.1016/j.scitotenv.2019.05.468
Blahut J, Horton P, Sterlacchini S, Jaboyedoff M (2010) Debris flow hazard modelling on medium scale: Valtellina di Tirano. Italy Nat Hazard Earth Sys Sci 10(11):2379–2390. https://doi.org/10.5194/nhess-10-2379-2010
Blais-Stevens A, Behnia P (2016) Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor. Canada Nat Hazard Earth Sys Sci 16(2):449–462. https://doi.org/10.5194/nhess-16-449-2016
Castelli F, Freni G, Lentini V, Fichera A (2017) Modelling of a debris flow event in the Enna area for hazard assessment. Procedia Eng 175:287–292. https://doi.org/10.1016/j.proeng.2017.01.026
Chang TC, Wang ZY, Chien YH (2010) Hazard assessment model for debris flow prediction. Environ Earth Sci 60(8):1619–1630. https://doi.org/10.1007/s12665-009-0296-x (In Chinese)
Chen TY, Feng ZY, Chuang YC (2011) An application of TRIGRS on slope failure probability analyses-a case study of Aowanda. J Chin Soil Water Conserv 42(3):228–239 (In Chinese)
Delmonaco G, Leoni G, Margottini C, Puglisi C, Spizzichino D (2002) Large scale debris-flow hazard assessment: a geotechnical approach and GIS modelling. Nucl Phys B 575(1–2):285–312. https://doi.org/10.1016/S0550-3213(00)00068-7
Frank F, McArdell BW, Huggel C, Vieli A (2015) The importance of entrainment and bulking on debris flow runout modeling: examples from the Swiss Alps. Nat Hazards Earth Syst Sci 15:2569–2583. https://doi.org/10.5194/nhess-15-2569-2015
Fuchs S, Glade T (2016) Foreword: Vulnerability assessment in natural hazard risk—a dynamic perspective. Nat Hazards 82(S1):1–5. https://doi.org/10.1007/s11069-016-2289-x
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 569:575–591. https://doi.org/10.1016/j.jhydrol.2018.10.001
Guo CX, Xu FG, Hou TX (2015) Research on grain-size characteristics of loose deposit in Bayi Gully. J Nat Disaster 24(4):46–55. https://doi.org/10.13577/j.jnd.2015.0406
Holmgren P (1994) Multiple flow direction algorithms for runoff modelling in grid based elevation models: an empirical evaluation. Hydrol Process 8:327–334. https://doi.org/10.1002/hyp.3360080405
Horton P, Jaboyedoff M, Zimmermann M, Mazotti B (2011) Flow-R, a model for debris flow susceptibility mapping at a regional scale—some case studies. Italian J Eng Geol Environ 2:875–884. https://doi.org/10.4408/IJEGE.2011-03.B-095
Horton P, Jaboyedoff M, Rudaz B, Zimmermann M (2013) Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale. Nat Hazard Earth Sys 13(4):869–885. https://doi.org/10.5194/nhess-13-869-2013
Hsu YC, Liu KF (2019) Combining TRIGRS and DEBRIS-2D models for the simulation of a rainfall infiltration induced shallow landslide and subsequent debris flow. Water 11(5):890. https://doi.org/10.3390/w11050890
Huang R, Fan X (2013) The landslide story. Nature Geosci 6(5):325–326. https://doi.org/10.1038/ngeo1806
Hungr O (1995) A model for the runout analysis of rapid flow slides, debris flows, and avalanches. Can Geotech 32:610–623. https://doi.org/10.1139/t95-063
Hurlimann M, Copons R, Altimir J (2006) Detailed debris flow hazard assessment in Andorra: a multidisciplinary approach. Geomorphology 78:359–372
Hürlimann M, Abancó C, Moya J, Vilajosana I (2014) Results and experiences gathered at the Rebaixader debris-flow monitoring site, Central Pyrenees, Spain. Landslides 11(6):939–953
Hussin HY, Quan Luna B, Van Westen CJ, Christen M, Malet JP, van Asch TW (2012) Parameterization of a numerical 2-D debris flow model with entrainment: a case study of the Faucon catchment, Southern French Alps. Nat Hazards Earth Syst Sci 12(10):3075–3090. https://doi.org/10.5194/nhess-12-3075-2012
Iverson RM (2000) Landslide triggering by rain infiltration. Water Resour Res 36(7):1897–1910. https://doi.org/10.1029/2000WR900090
Jan B, Thomas G, Simone S (2014) Debris flows risk analysis and direct loss estimation: the case study of Valtellina di Tirano. Italy J Mt Sci 11(2):288–307. https://doi.org/10.1007/s11629-013-2806-2
Kappes MS, Malet JP, Remaître A, Horton P, Jaboyedoff M, Bell R (2011) Assessment of debris-flow susceptibility at medium-scale in the Barcelonnette Basin. France Nat Hazard Earth Sys Sci 11(2):627–641. https://doi.org/10.5194/nhess-11-627-2011
Kim D, Im S, Lee SH, Hong YJ, Cha KS (2010) Predicting the rainfall-triggered landslides in a forested mountain region using TRIGRS model. J Mt Sci 7(1):83–91. https://doi.org/10.1007/s11629-010-1072-9
Lanzoni S, Gregoretti C, Stancanelli LM (2017) Coarse-grained debris flow dynamics on erodible beds. J Geophys Res Earth Surf 122(3):592–614
Lee ST (2004) Applications of cumulative displacement method on earthquake-induced landslide hazard analysis. Department of Resource Engineering, Chenggong University. http://ir.lib.ncku.edu.tw/handle/987654321/17491
Li N, Xu JC, Qin YZ (2012) Research on calculation model for stability evaluation of rainfall-induced shallow landslides. Rock Soil Mech 33(5):1485–1490. https://doi.org/10.3969/j.issn.1000-7598.2012.05.033 (In Chinese)
Li C, Wang M, Liu K (2018) A decadal evolution of landslides and debris flows after the Wenchuan earthquake. Geomorphology 323:1–12. https://doi.org/10.1016/j.geomorph.2018.09.010
Li CJ, Ma TH, Zhu XS (2008) Forecasting of landslides triggered by rainfall: theory, methods and applications. Beijing, pp 20–25
Lin JW, Chen CW, Peng CY (2012) Potential hazard analysis and risk assessment of debris flow by fuzzy modeling. Nat Hazard 64(1):273–282. https://doi.org/10.1007/s11069-012-0236-z
Listo FLR, Vieira BC (2012) Mapping of risk and susceptibility of shallow-landslide in the city of São Paulo, Brazil. Geomorphology 169:30–44. https://doi.org/10.1016/j.geomorph.2012.01.010
Ma Y, Yu B, Wu YF, Zhang JN, Qi X (2011) Research on the disaster of debris flow of Bayi Gully, Longchi, Dujiangyan, Sichuan on August 13, 2010. Sichuan University (engineering science edition) 43(S1):92–98 (In Chinese)
Nery TD, Vieira BC (2015) Susceptibility to shallow landslides in a drainage basin in the Serra do Mar, São Paulo, Brazil, predicted using the SINMAP mathematical model. Bull Eng Geol Environ 74(2):369–378. https://doi.org/10.1007/s10064-014-0622-8
Nie YP, Li XZ (2019) Hazard assessment of Bayi Gully debris flow based on Flow-R model. J Nat Disaster 28(01):158–166 (In Chinese)
Niu CC, Wang Q, Chen JP, Wang K, Zhang W, Zhou FJ (2014) Debris-flow hazard assessment based on stepwise discriminant analysis and extension theory. Geol Soc London. https://doi.org/10.1144/qjegh2013-038
Ouyang C, He S, Xu Q, Luo Y, Zhang W (2013) A MacCormack-TVD finite difference method to simulate the mass flow in mountainous terrain with variable computational domain. Comput Geosci 52:1–10. https://doi.org/10.1016/j.cageo.2012.08.024(InChinese)
Park DW, Lee SR, Vasu NN, Kang SH, Park JY (2016) Coupled model for simulation of landslides and debris flows at local scale. Nat Hazard 81(3):1653–1682. https://doi.org/10.1007/s11069-016-2150-2
Peng SH, Lu SC (2013) FLO-2D simulation of mudflow caused by large landslides due to extremely heavy rainfall in southeastern Taiwan during Typhoon Morakot. J Mt Sci 10(2):207–218. https://doi.org/10.1007/s11629-013-2510-2(InChinese)
Qin Y, Zheng H (2013) Initiation conditions for the 8·13 debris flows in Bayi Gully of Dujiangyan. South-to-North Water Transf Water Sci Technol 11(4):101–104 (In Chinese)
Rahman MS, Ahmed B, Di L (2017) Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria. J Mt Sci 14(10):1919–1937. https://doi.org/10.1007/s11629-016-4220-z
Roberto G, Renato G, Osmar D, Nelson F, Eurípedes DAJ (2013) Combining spatial models for shallow landslides and debris-flows prediction. Remote Sens 5(5):2219–2237. https://doi.org/10.3390/rs5052219
Rosatti G, Begnudelli L (2013) Two dimensional simulations of debris flows over mobile beds: enhancing the TRENT2D model by using a well-balanced generalized Roe-type solver. Comput Fluids 71:179–185. https://doi.org/10.1016/j.compfluid2012.10.006
Saadatkhah N, Mansor S, Kassim A, Lee LM, Saadatkhah R, Sobhanmanesh A (2016) Regional modeling of rainfall-induced landslides using TRIGRS model by incorporating plant cover effects: case study in Hulu Kelang. Malaysia Environ Earth Sci 75(5):1–20. https://doi.org/10.1007/s12665-016-5326-x
Simoni A, Bernard M, Berti M, Boreggio M, Gregoretti C (2020) Runoff-generated debris flows: observation of initiation conditions and erosion-deposition dynamics along the channel at Cancia (eastern Italian Alps). Earth Surf Proc Land 45(14):3556–3571. https://doi.org/10.1002/esp.4981
Sorbino G, Sica C, Cascini L (2010) Susceptibility analysis of shallow landslides source areas using physically based models. Nat Hazard 53(2):313–332. https://doi.org/10.1007/s11069-009-9431-y
Stancanelli LM, Foti E (2015) A comparative assessment of two different debris flow propagation approaches—Blind simulations on a real debris flow event. Nat Hazard 15(4):735–746. https://doi.org/10.5194/nhess-15-735-2015
Stancanelli LM, Peres DJ, Cancelliere A, Foti E (2017) A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility. J Hydrol 550:130–143. https://doi.org/10.1016/j.jhydrol.2017.04.038
Wang J, Yang S, Ou G, Gong Q, Yuan S (2018) Debris flow hazard assessment by combining numerical simulation and land utilization. Bull Eng Geol Environ 77(1):13–27. https://doi.org/10.1007/s10064-017-1006-7 (In Chinese)
Xin Q, Guangning L, Bolin H, Shichang W, Changsheng H (2017) Slope stability evaluation of southern section of Zigui syncline core under rainfall infiltration. Bull Soil Water Conserv 37(3):97–101 (In Chinese)
Xu JC, Shang YQ (2006) Influence of permeability of gravel soil on debris landslide stability. Chin J Rock Mech Eng 25(11):2264–2271 (In Chinese)
Zhang H, Liu X, Cai E, Huang G, Ding C (2013) Integration of dynamic rainfall data with environmental factors to forecast debris flow using an improved GMDH model. Comput Geosci 56:23–31. https://doi.org/10.1016/j.cageo (In Chinese)
Zhuang J, Peng J, Wang G, Iqbal J, Wang Y, Li W, Xu Q, Zhu XH (2017) Prediction of rainfall-induced shallow landslides in the Loess Plateau, Yan’an, China, using the TRIGRS model. Earth Surf Process Landf 42(6):915–927. https://doi.org/10.1002/esp.4050 (In Chinese)
Acknowledgements
The authors give a special thanks to the two anonymous reviewers for their constructive comments. The authors also wish to give a thanks to Cassian Crasto of Editage for serious language polish and revision.
Funding
This study was supported by the National Natural Science Foundation of China (No.41772386), the National Key Research and Development Plan of China (No.YS2018YFGH000001), the Strategic Leading Science and Technology Project of Chinese Academy of Sciences (Class A) (No. XDA23090203) and South China Branch Project of China Petroleum Pipeline Network Group Co., Ltd (GWHT20210014429).
Author information
Authors and Affiliations
Contributions
Xiuzhen Li and Yinping Nie contributed equally to this work. Xiuzhen Li contributed the idea of this study, Yinping Nie finished the calculation process of this study, and both of them jointly completed the writing of the paper. Ruichi Xu drew some figures.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing financial or non-financial interests for this manuscript.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Nie, Y., Li, X. & Xu, R. Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models. Stoch Environ Res Risk Assess 36, 97–114 (2022). https://doi.org/10.1007/s00477-021-02093-y
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00477-021-02093-y