Measuring internal velocity of debris flows by temporally correlated shear forces

Abstract

Debris flow is a kind of geological hazard occurring in mountain areas. Its velocity is very important for debris flow dynamics research and designing debris flow control works. However, most of past researches focused on surface velocity and mean velocity of debris flow, while few researches involve its internal velocity because there is no available method for measuring the internal velocity for its destructive power. In this paper, a method of temporally correlated shear forces (TCSF) for measuring the internal velocity of debris flows is proposed. The principle of this method is to calculate the internal velocity of a debris flow using the distance between two detecting sections and the time difference between the two waveforms of shear forces measured at both sections. This measuring method has been tested in 14 lab-based flume experiments.

Keywords

debris flow / internal velocity / velocity measuring / shear force / flume experiment

References

Arattano M., Deganutti A. M., Marchi L.. Chen C. L.. Debris Flow Monitoring Activities in an Instrumented Watershed on the Italian Alps. Proceedings of 1st International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment, 1997, New York: ASCE 506 515

Arattano M., Grattoni P.. Wieczorek G. F., Naeser N. D.. Using a Fixed Video Camera to Measure Debris-Flow Surface Velocity. Proceedings of 2nd International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment, 2000, Rotterdam: Balkema 273 281

Arattano M., Marchi L.. Measurements of Debris Flow Velocity through Cross-Correlation of Instrumentation Data. Natural Hazards and Earth System Sciences, 2005, 5: 137-142.

Berti M., Genevois R., LaHusen R., . Debris Flow Monitoring in the Acquabona Watershed on the Dolomites (Italian Alps). Phys. Chem. Earth (B), 2000, 25(9): 707-715.

Drai R., Sellidj F., Khelil M., . Elaboration of Some Signal Processing Algorithms in Ultrasonic Techniques: Application to Materials NDT. Ultrasonics, 2000, 38: 503-507.

Gagoshidze M. S.. Debris Flows: Phenomena and Mitigation, 1970, Tbilisi: Sabchota Sakartvelo 385

Hanisch J., Ergenzinger P., Bonte M.. Rickenmann D., Chen C. L.. Dumpling—An “Intelligent” Boulder for Studying Internal Process of Debris Flows. Proceedings of 3rd International Conference on Debris-Flow Hazards Mitigation: Mechanics, 2003, Millpress, Rotterdam: Prediction and Assessment. 843 849

Inaba H., Itakura Y., Kasahara M.. Surface Velocity Computation of Debris Flows by Vector Field Measurements. Phys. Chem. Earth (B), 2000, 25(9): 741-744.

Inaba H., Uddin M. S., Itakura Y., . Chen C. L., . Surface Velocity Vector Field Measurement of Debris Flow Based on Spatio Temporal Derivative Space Method. Proceedings of 1st International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment, 1997, New York: ASCE 757 766

Itakura Y., Kitajima T., Endo K., . Wieczorek G. F., Naeser N. D., . A New Double Dual-Axes Accelerometer Debris-Flow Detection System. Proceedings of 2nd International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment, 2000, Rotterdam: Balkema 319 324

Itakura Y., Koga Y., Takahama J., . Chen C. L., . Acoustic Detection Sensor for Debris Flow. Proceedings of 1st International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment, 1997, New York: ASCE 747 756

Kang Z. C., Hu P. H., . Wu J. S., Kang Z. C., Tian L. Q., . Measurements for Kinematic Parameters of Debris Flows in Jiangjia Gully. Observation Researches on Debris Flows in Jiangjia Gully, Yunnan, 1990, Beijing: Science Press 99 140

Kherhkeulidze G. I.. Debris Flow Pressure and Methods of Its Determination. Proceedings of Trans-Caucasian Regional Scientific Research Institute of Hydrometeorology. Gidrometeoizdat, Moscow, 1984, 83(90): 77-112.

Natishvili O. G., Tevzadze V. I., Iordanishvili Z. S.. Determination of Debris Flow Velocity in Linear Parts of the Channel. Proceedings of Georgian Scientific Research Institute of Hydrotechnics and Melioration. Tbilisi, 1963, 22: 243-248.

Pierson T. C.. Abrahms A. D.. Flow Behavior of Channelized Debris Flows, Mount St. Helens, Washington. Hillslope Processes, 1986, Boston: Allen & Unwin 269 296

Prochaska A. B., Santi P. M., Higgins J. D.. Relationships between Size and Velocity for Particles within Debris Flows. Canadian Geotechnical Journal, 2008, 45: 1778-1783.

Rudell A., Hu B.. Does a Warning Signal Accelerate the Processing of Sensory Information? Evidence from Recognition Potential Responses to High and Low Frequency Words. International Journal of Psychophysiology, 2001, 41: 31-42.

Suwa H., Okunishi K., Sakai M.. Hadley R. F., Mizuyama T.. Motion, Debris Size and Scale of Debris Flows in a Valley on Mount Yajkedake, Japan. Strategies for Monitoring, Prediction and Control: Proceedings of the International Symposium on Sediment Problems, 1993, Wallingford: IAHS Press 239 248

Uddin M. S., Inaba H., Itakura Y., . Estimation of the Surface Velocity of Debris Flow with Computer-Based Spatial Filtering. Applied Optics, 1998, 37(26): 6234-6239.

Uddin M. S., Inaba H., Itakura Y., . Adaptive Computer-Based Spatial-Filtering Method for More Accurate Estimation of the Surface Velocity of Debris Flow. Applied Optics, 1999, 38(32): 6714-6721.

Uddin M. S., Inaba H., Yoshida Y., . Large Motion Estimation by Gradient Technique-Application to Debris Flow Velocity Field. Phys. Chem. Earth (C), 2001, 26(9): 633-638.

Zhang L., Wu X. L.. On the Application of Cross Correlation Function to Subsample Discrete Time Delay Estimation. Digital Signal Processing, 2006, 16: 682-694.

Zhang S. C.. A Comprehensive Approach to the Observation and Prevention of Debris Flows in China. Natural Hazards, 1993, 7: 1-23.