Field and laboratory investigations of runout distances of debris flows in the Dolomites (Eastern Italian Alps)

Abstract The estimation of runout distances on fans has a major role in assessing debris-flow hazards. Different methods have been devised for this purpose: volume balance, limiting topographic methods, empirical equations, and physical approaches. Data collected from field observations are the basis for developing, testing, and improving predictive methods, while laboratory tests on small-scale models are another suitable approach for studying debris-flow runout under controlled conditions and for developing predictive equations. This paper analyses the problem of assessing runout distance, focusing on six debris flows that were triggered on July 5th, 2006 by intense rainfall near Cortina d'Ampezzo (Dolomites, north-eastern Italy). Detailed field surveys were carried out immediately after the event in the triggering zone, along the channels, and in the deposition areas. A fine-scale digital terrain model of the study area was established by aerial LiDAR measurements. Total travel and runout distances on fans measured in the field were compared with the results of formulae from the literature (empirical/statistical and physically oriented), and samples of sediment collected from deposition lobes were used for laboratory tests. The experimental device employed in the tests consists of a tilting flume with an inclination from 0° to 38°, on which a steel tank with a removable gate was installed at variable distances from the outlet. A final horizontal plane works as the deposition area. Samples of different volumes and variable sediment concentrations were tested. Multiple regression analysis was used to assess the length of the deposits as a function of both the potential energy of the mass and the sediment concentration of the flow. Our comparison of the results of laboratory tests with field data suggests that an energy-based runout formula might predict the runout distances of debris flows in the Dolomites.

[1]  J. Major Depositional Processes in Large‐Scale Debris‐Flow Experiments , 1997, The Journal of Geology.

[2]  Xilin Lu,et al.  Size of a debris flow deposition: model experiment approach , 1996 .

[3]  Oldrich Hungr,et al.  A model for the runout analysis of rapid flow slides, debris flows, and avalanches , 1995 .

[4]  P. Julien,et al.  Two‐Dimensional Water Flood and Mudflow Simulation , 1993 .

[5]  D. Walling,et al.  Catchment Experiments in Fluvial Geomorphology , 1984 .

[6]  Richard M. Iverson,et al.  Flow of variably fluidized granular masses across three‐dimensional terrain: 2. Numerical predictions and experimental tests , 2001 .

[7]  M. Jakob,et al.  Debris-flow Hazards and Related Phenomena , 2005 .

[8]  Dieter Rickenmann,et al.  Runout prediction methods , 2005 .

[9]  Lorenzo Marchi,et al.  Alluvial Fans in the Italian Alps: Sedimentary Facies and Processes , 2009 .

[10]  Alessandro Simoni,et al.  Prediction of debris flow inundation areas using empirical mobility relationships , 2007 .

[11]  S Okuda,et al.  Observations on the motion of a debris flow and its geomorphological effects , 1980 .

[12]  Richard M. Iverson,et al.  Flow of variably fluidized granular masses across three‐dimensional terrain: 1. Coulomb mixture theory , 2001 .

[13]  Tamotsu Takahashi,et al.  Mechanical Characteristics of Debris Flow , 1978 .

[14]  J. Vallance,et al.  OBJECTIVE DELINEATION OF LAHAR-INUNDATION HAZARD ZONES , 1998 .

[15]  P. Frattini,et al.  Validation of semi-empirical relationships for the definition of debris-flow behavior in granular materials , 2003 .

[16]  D. F. Lakatos,et al.  Infiltration Formula Based on SCS Curve Number , 1977 .

[17]  T. J. Ward,et al.  Debris flow run-out and landslide sediment delivery model tests , 1997 .

[18]  C. Graf,et al.  Field and monitoring data of debris-flow events in the Swiss Alps , 2003 .

[19]  R. Iverson,et al.  U. S. Geological Survey , 1967, Radiocarbon.

[20]  Dieter Rickenmann,et al.  Empirical Relationships for Debris Flows , 1999 .

[21]  Vincenzo D'Agostino,et al.  Estimation of debris‐flow magnitude in the Eastern Italian Alps , 2004 .

[22]  R J Fannin,et al.  An empirical-statistical model for debris flow travel distance , 2001 .

[23]  Lorenzo Marchi,et al.  Systems and Sensors for Debris-flow Monitoring and Warning , 2008, Sensors.

[24]  G. Dalla Fontana,et al.  The triggering of debris flow due to channel‐bed failure in some alpine headwater basins of the Dolomites: analyses of critical runoff , 2008 .

[25]  Hiroshi Ikeya,et al.  Debris flow and its countermeasures in Japan , 1989 .

[26]  D. Laigle,et al.  Comparison of numerical simulation of muddy debris-flow spreading to records of real events , 2003 .

[27]  James C. Bathurst,et al.  Physically based modelling of shallow landslide sediment yield at a catchment scale , 1998 .

[28]  A. Rothpletz Der Bergsturz von Elm. , 1881 .

[29]  Oldrich Hungr,et al.  Quantitative analysis of debris torrent hazards for design of remedial measures , 1984 .

[30]  Clive Oppenheimer,et al.  GIS‐assisted modelling for debris flow hazard assessment based on the events of May 1998 in the area of Sarno, Southern Italy: II. Velocity and dynamic pressure , 2008 .

[31]  Clive Oppenheimer,et al.  GIS‐assisted modelling for debris flow hazard assessment based on the events of May 1998 in the area of Sarno, Southern Italy: Part I. Maximum run‐out , 2007 .

[32]  Jordi Corominas,et al.  The angle of reach as a mobility index for small and large landslides , 1996 .

[33]  P. Mani,et al.  Murganggefahr und Klimaänderung - ein GIS-basierter Ansatz , 1997 .

[34]  Markus N. Zimmermann,et al.  The 1987 debris flows in Switzerland: documentation and analysis , 1993 .

[35]  J. Coutard,et al.  Laboratory experiments with small debris flows: Physical properties related to sedimentary characteristics , 2007 .