Deposition Prediction of Debris Flow Alluvial Fan Based on Experimental Study

Jin Feng Liu; Shun Yang; Guo Qiang Ou

doi:10.4028/www.scientific.net/AMR.518-523.4819

Paper Titles

Variation in Soil Acidity in Larch Plantations in Eastern Montane Area of Northeast China and its Effect on Soil Phosphorus Forms
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Variation in Soil Phosphorus Forms in Larix olgensis Plantations in Eastern Montane Area of Northeast China
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Combination Measures of Plant Buffer Strips and Agronomic Management to Control Soil and Nutrient Losses of Sloping Land
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Combine Empirical Equation with Experiment for Prediction of Soil Saturated Hydraulic Conductivity
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Deposition Prediction of Debris Flow Alluvial Fan Based on Experimental Study
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Effect of Grass Coverage on the Sediment Concentration in Overland Flow
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Water and Soil Conservation Characteristics for Two Typical Subtropical Forests in Southeast China
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Game Analysis on Benefit of Chinese Wetland Ecological Compensation
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An Application of RSR Method in Environmental Pollution Health Damage
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523Deposition Prediction of Debris Flow Alluvial Fan...

Deposition Prediction of Debris Flow Alluvial Fan Based on Experimental Study

Abstract:

The deposition prediction of debris flow hazardous area is very important for organizing and implementing debris flow disaster prevention and reduction. This paper selected the data base from laboratory experiments and applied the multiple regression statistical method to establish a series of empirical calculation models for delimiting the debris flow hazardous areas on the alluvial fan. The empirical models for predicting the maximum deposition length (Lc), the maximum deposition width (B_max) and the maximum deposition thichness (Z₀) under the condition of different debris flow volumes (V), densities (r_m) and slopes of accumulation area (θ_d) were establised. And the verification results indicated that the established models can predict the debris flow hazards area with the average accuracy of 86%.

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Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

4819-4822

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.4819

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Online since:

May 2012

Authors:

Jin Feng Liu, Shun Yang, Guo Qiang Ou

Keywords:

Alluvial Fan, Debris Flow, Deposition Prediction, Experimental Study

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