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Hazard assessment of debris flow in Guangxi, China based on hydrodynamics mechanism

  • Daming Li
  • Hongqiang ZhangEmail author
  • Yanqing Li
  • Zhu Zhen
  • Shilong Bu
  • Xingchen Tang
  • Shuo Chen
  • Shan Luo
  • Shunfa Tian
  • Mingming Xiong
Original Article
  • 94 Downloads

Abstract

This paper aims at developing a mathematical model of hazard assessment of debris flow (DF) by applying hydrodynamics mechanism (HM) in the judging of DF starting. On the basis of HM, finite-volume method has been used and the flow passages have been classified into ground channel, river channel, and overflow channel; hence, the simulating result of depth distribution could be adopted to judge DF starting by comparing with DF critical depth. Meanwhile, rainfall, terrain, geology, vegetation, and population have been selected as the impact factors, and normalization method has been utilized to calculate the five factors’ weights based on the synthesis of analytic hierarchy process and fuzzy-weighting method. Combining the impact factors’ weights with its digitized results, respectively, thus, DF hazard assessment could be achieved with the programming calculation of Fortran. Indeed, the assessment results have been validated by comparing with the statistical result of geological hazards distribution in Guangxi and the Quanzhou County Debris Flow Event in 2011. The validation results show that the mathematical model is reliable, and it is feasible in the hazard assessment of DF.

Keywords

Debris flow Hazard assessment Mathematical model Hydrodynamics mechanism Validation Guangxi 

Notes

Acknowledgements

The authors wish to extend their gratitude to all reviewers and editors for their valuable advice. This research was financially supported by the National Natural Science Foundation of China (Grant no. 51079095), the Science Fund for Creative Research Groups of the National Natural Science Foundation of China (Grant no. 51021004) and the Assessment of the Impact of Climate Change on Design Standard for Drainage Planning in Tianjin (Grant no. 15JCYBJC22300). This work was supported by the State Key Laboratory of Hydraulic Engineering Simulation and Safety of Tianjin University.

References

  1. Brufau P, Garcia-Navarro P, Ghilardi P, Natale L, Savi F (2000) 1d mathematical modelling of debris flow. J Hydraul Res 38:435–446CrossRefGoogle Scholar
  2. Bui HH, Sako K, Fukagawa R (2005) Numerical simulation of soil–water interaction using smoothed particle hydrodynamics (SPH) method. In: Proceedings of the 15th international conference of the ISTVS, Hayama, JapanGoogle Scholar
  3. Chen S (1998) Engineering fuzzy set theory and application. National Defense Industry Press, Beijing (in Chinese) Google Scholar
  4. Fraccarollo L, Papa M (2000) Numerical simulation of real debris-flow events. Phys Chem Earth Part B Hydrol Oceans Atmos 25:757–763CrossRefGoogle Scholar
  5. Gao J, Sang Y (2017) Identification and estimation of landslide-debris flow disaster risk in primary and middle school campuses in a mountainous area of southwest china. Int J Disaster Risk Reduct 25:60–71CrossRefGoogle Scholar
  6. Han Z, Chen G, Li Y, Tang C, Xu L, He Y, Huang X, Wang W (2015) Numerical simulation of debris-flow behavior incorporating a dynamic method for estimating the entrainment. Eng Geol 190:52–64CrossRefGoogle Scholar
  7. Hu K, Wei F, Li Y (2011) Real-time measurement and preliminary analysis of debris-flow impact force at jiangjia ravine, china. Earth Surf Proc Land 36:1268–1278CrossRefGoogle Scholar
  8. Hu W, Xu Q, Rui C, Huang RQ, Asch TWJV, Zhu X, Xu Q (2015) An instrumented flume to investigate the initiation mechanism of the post-earthquake huge debris flow in the southwest of china. Bull Eng Geol Environ 74:393–404CrossRefGoogle Scholar
  9. Huang HP, Yang KC, Lai SW (2007) Impact force of debris flow on filter dam. Geophys Res Abstr Eur Geosci Union 9:03218Google Scholar
  10. Jakob M, Mcdougall S, Weatherly H, Ripley N (2013) Debris-flow simulations on cheekye river, british columbia. Landslides 10:685–699CrossRefGoogle Scholar
  11. Jiang YJ, Zhao Y (2015) Experimental investigation of dry granular flow impact via both normal and tangential force measurements. Geotech Lett 5:33–38CrossRefGoogle Scholar
  12. Kang Z, Li Z, Ma A, Luo J (2004) Sediment study in China. Science Press, Beijing (in Chinese) Google Scholar
  13. Li Y, Zhao M, Cao Z (2001) Plane two dimension water & sediment mathematical model. China Water & Power Press, Beijing (in Chinese) Google Scholar
  14. Li D, Liu X, Duan L, Li P, Xiong M (2017) Forecasting mathematical model of regional debris flow based on AHP. J Tianjin Univ (Sci Technol) 50:900–906 (in Chinese) Google Scholar
  15. Liu J (2011) Research on mathematical model and risk assessment model of debris flow. Doctor’s Dissertation, Tianjin University, China (in Chinese) Google Scholar
  16. Liu X, Tang C (2004) Danger assessment on debris flow. Science Press, Beijing (in Chinese) Google Scholar
  17. Lv H (2011) Research and application of mathematical model of debris flow. Master’s Dissertation, Tianjin University, China (in Chinese) Google Scholar
  18. Martinez C, Miralles-Wilhelm F, Garcia-Martinez R (2008) Verification of a 2D finite element debris flow model using bingham and cross rheological formulations. WIT Trans Eng Sci 60:61–69CrossRefGoogle Scholar
  19. Mcdougall S, Hungr O (2004) A model for the analysis of rapid landslide motion across three-dimens. Can Geotech J 41:1084–1097CrossRefGoogle Scholar
  20. Mizuyama T, Yazawa A (1987) Computer simulation of debris flow depositional processes. In: Proceeding of international symposium on erosion and sedimentation in the Pacific Rim, Corvallis, USGoogle Scholar
  21. Morris JP, Zhu Y, Fox PJ (1999) Parallel simulations of pore-scale flow through porous media. Comput Geotech 25:227–246CrossRefGoogle Scholar
  22. O’Brien JS, Julien PY, Fullerton WT (1993) Two-dimensional water flood and mudflow simulation. J Hydraul Eng 119:244–261CrossRefGoogle Scholar
  23. Revellino P, Hungr O, Guadagno FM, Evans SG (2004) Velocity and runout simulation of destructive debris flows and debris avalanches in pyroclastic deposits, campania region, italy. Environ Geol 45:295–311CrossRefGoogle Scholar
  24. Rickenmann D, Laigle D, Mcardell BW, Hübl J (2006) Comparison of 2d debris-flow simulation models with field events. Comput Geosci 10:241–264CrossRefGoogle Scholar
  25. Takahashi T, Tsujimoto H (1985) Delineation of the debris flow hazardous zone by a numerical simulation method. In: Proceeding of international symposium on erosion, debris flow and disaster prevention, Tsukuba, JapanGoogle Scholar
  26. Wang M (1999) A comprehensive analysis method on determining the coefficients in multiindex evaluation. Syst Eng 17:56–61 (in Chinese) Google Scholar
  27. Wang Z, Yang Y, Wang Y, Zhang T, Wang C (2017) Research in the calculation of the debris flow prevention and geographic information system control engineering. Concurr Comput Pract Exp 29:e4237CrossRefGoogle Scholar
  28. Wendeler C, Volkwein A, Roth A, Denk M, Wartmann S (2007) Debris-flow Hazards Mitig. Mech. Predict. Assess. Mill Press, RotterdamGoogle Scholar
  29. Zanchetta G, Sulpizio R, Pareschi MT, Leoni FM, Santacroce R (2004) Characteristics of may 5–6, 1998 volcaniclastic debris flows in the sarno area (campania, southern italy): relationships to structural damage and hazard zonation. J Volcanol Geotherm Res 133:377–393CrossRefGoogle Scholar
  30. Zhang S (1993) A comprehensive approach to the observation and prevention of debris flows in china. Nat Hazards 7:1–23CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Hydraulic Engineering Simulation and SafetyTianjin UniversityTianjinChina
  2. 2.Tianjin Climate CenterTianjinChina

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