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  4. 山崩瘠土石流災害之探討─子計畫:以碎形維度理論結合數位影像分析應用於土石流潛勢之判定(I)
 
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山崩瘠土石流災害之探討─子計畫:以碎形維度理論結合數位影像分析應用於土石流潛勢之判定(I)

Date Issued
2005
Date
2005
Author(s)
陳榮河  
DOI
932625Z002024
URI
http://ntur.lib.ntu.edu.tw//handle/246246/2916
Abstract
A general model which can identify potential debris flow ravines, including both geophysical and hydrological parameters, is developed. For the geophysical parameters, the fractal theory is employed to rebuild the in situ particle size distribution curve. For the larger sizes that are hard to be sampled in the field, the concept of image sieve analysis, employed to obtain the actual grain size distribution in the field. On the other hand, for the hydrological parameters, this study focuses on the pore sizes and its distribution, concerning the pore pressures depend highly on the grain gradation of materials. The box-counting method of fractal theory is used on the analysis of soil sieve data. Then, the fractal dimension to respond the soil gradation will be obtained from the double-logarithm plot of grain size distribution curve. This fractal dimension is used to the fractal model for predicting the moisture retention curve. In addition, a new device of water transporting test is developed in this project to measure the water content and the capillary pressure distributions due to simulated rainfall infiltration. Based on the experiment results, a water transportation model in the debris flow material can be constructed. Thus, the assessment of potential debris flow can also be made accordingly.
Subjects
debris flow
initiation mechanism
fractal dimension
image sieve analysis
Publisher
臺北市:國立臺灣大學土木工程學系暨研究所
Type
report
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932625Z002024.pdf

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7.91 MB

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(MD5):5802f8ba43e335d187275f719345e7b2

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