Evaluation of the Risk Distribution of the Debris Flow Occurred Using Numerical Simulation Subjected to Rockfall

Author(s):  
Y. Isobe ◽  
H. Inagaki ◽  
H. Ohno
2003 ◽  
Vol 47 ◽  
pp. 583-588 ◽  
Author(s):  
Yoshifumi SATOFUKA ◽  
Tamotsu TAKAHASHI

Author(s):  
Filippo Zaniboni ◽  
Gianluca Pagnoni ◽  
Alberto Armigliato ◽  
Stefano Tinti ◽  
Olaia Iglesias ◽  
...  

1996 ◽  
Vol 13 (1) ◽  
pp. 39-54 ◽  
Author(s):  
Cheng-Lun Shieh ◽  
Chyan-Deng Jan ◽  
Yuan-Fan Tsai

2015 ◽  
Vol 15 (7) ◽  
pp. 1483-1492 ◽  
Author(s):  
K. Schraml ◽  
B. Thomschitz ◽  
B. W. McArdell ◽  
C. Graf ◽  
R. Kaitna

Abstract. Predicting potential deposition areas of future debris-flow events is important for engineering hazard assessment in alpine regions. To this end, numerical simulation models are commonly used tools. However, knowledge of appropriate model parameters is essential but often not available. In this study we use two numerical simulation models, RAMMS–DF (rapid mass movement system–debris-flow) and DAN3D (dynamic analysis of landslides in three dimensions), to back-calculate two well-documented debris-flow events in Austria and to compare the range and sensitivity of input parameters for the Voellmy flow model. All simulations are based on the same digital elevation models and similar boundary conditions. Our results show that observed deposition patterns are best matched with a parameter set of μ [–] and ξ [m s-2], ranging between 0.07 to 0.11 and 200 to 300 m s-2, respectively, for RAMMS–DF, and between 0.07 to 0.08 and 300 to 400 m s-2, respectively, for DAN3D. Sensitivity analysis shows a higher sensitivity of model parameters for the DAN3D model than for the RAMMS–DF model. This contributes to the evaluation of realistic model parameters for simulation of debris-flows in steep mountain catchments and highlights the sensitivity of the models.


2013 ◽  
Vol 7 (2) ◽  
pp. 206-214 ◽  
Author(s):  
Jian Wu ◽  
Guangqi Chen ◽  
Lu Zheng ◽  
Yingbin Zhang

Sign in / Sign up

Export Citation Format

Share Document