Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example

碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 100 === The main purpose of this study is to investigate the effects of landslides and other physiographic factors on the rainfall threshold value for debris flow warning and then to evaluate it. In Taiwan, the rainfall threshold value for debris flow warning has b...

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Main Authors: Xun-Yuan Zeng, 曾勛苑
Other Authors: 范正成
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/58277895047279183314
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spelling ndltd-TW-100NTU054040142015-10-13T21:50:16Z http://ndltd.ncl.edu.tw/handle/58277895047279183314 Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example 利用羅吉斯回歸法分析崩塌對土石流降雨警戒基準值之影響-以陳有蘭溪集水區為例 Xun-Yuan Zeng 曾勛苑 碩士 國立臺灣大學 生物環境系統工程學研究所 100 The main purpose of this study is to investigate the effects of landslides and other physiographic factors on the rainfall threshold value for debris flow warning and then to evaluate it. In Taiwan, the rainfall threshold value for debris flow warning has been used for years as a basis to announce debris flow warning and it is amended annually or after the event of great mass movement disasters. The site of this study was selected at Chenyoulan stream watershed. The statistics examines to landslide ratio, the average riverbed slope steepness , effective watershed area , form factor of watersheds and the debris flow take place higher relativity of physiographic factor, and among them with landslide ratio and debris flow to establish relationship most for notable. Then, with method of logistic regression was used for analysis, building a model to assess rainfall threshold value for debris flow warning with landslides and other physiography factors. In the meantime, compare the effect of two different rainfall-field division ,and the influence of physiographic factor conversion of membership function. From the result, Fan et al.(2003) the rain-field division method and the mode of has been convert to membership function physiography factor the best, the accuracy rate of debris flow occurrence reaches to 80% above. Therefore, consider the debris flow warning usually more conservative standard to publish a warning notice, this results to build a debris flow warning mode. Deduce of the physical mechanism of mode and debris flow occurrence mutually matches. While landslide ratio (DN), average riverbed slope steepness (SN) and effective watershed area (AN) and form factor of watersheds (FN) increment, it takes place a probability to also immediately increase. If the debris flow takes place a probability(p) homology, the rainfall threshold value for debris flow warning to reduce while landslide ratio(DN), average riverbed slope steepness (SN) and effective watershed area (AN) and form factor of watersheds(FN) increment. This debris flow warnning mode, after to provide major disaster (as earthquake, typhoon pouring rain) ,through examine the quantity of four kinds of physiographic factors, is rapid to revise the rainfall threshold value for debris flow warning ,is well timed to reflect now condition. 范正成 2012 學位論文 ; thesis 113 zh-TW
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language zh-TW
format Others
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description 碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 100 === The main purpose of this study is to investigate the effects of landslides and other physiographic factors on the rainfall threshold value for debris flow warning and then to evaluate it. In Taiwan, the rainfall threshold value for debris flow warning has been used for years as a basis to announce debris flow warning and it is amended annually or after the event of great mass movement disasters. The site of this study was selected at Chenyoulan stream watershed. The statistics examines to landslide ratio, the average riverbed slope steepness , effective watershed area , form factor of watersheds and the debris flow take place higher relativity of physiographic factor, and among them with landslide ratio and debris flow to establish relationship most for notable. Then, with method of logistic regression was used for analysis, building a model to assess rainfall threshold value for debris flow warning with landslides and other physiography factors. In the meantime, compare the effect of two different rainfall-field division ,and the influence of physiographic factor conversion of membership function. From the result, Fan et al.(2003) the rain-field division method and the mode of has been convert to membership function physiography factor the best, the accuracy rate of debris flow occurrence reaches to 80% above. Therefore, consider the debris flow warning usually more conservative standard to publish a warning notice, this results to build a debris flow warning mode. Deduce of the physical mechanism of mode and debris flow occurrence mutually matches. While landslide ratio (DN), average riverbed slope steepness (SN) and effective watershed area (AN) and form factor of watersheds (FN) increment, it takes place a probability to also immediately increase. If the debris flow takes place a probability(p) homology, the rainfall threshold value for debris flow warning to reduce while landslide ratio(DN), average riverbed slope steepness (SN) and effective watershed area (AN) and form factor of watersheds(FN) increment. This debris flow warnning mode, after to provide major disaster (as earthquake, typhoon pouring rain) ,through examine the quantity of four kinds of physiographic factors, is rapid to revise the rainfall threshold value for debris flow warning ,is well timed to reflect now condition.
author2 范正成
author_facet 范正成
Xun-Yuan Zeng
曾勛苑
author Xun-Yuan Zeng
曾勛苑
spellingShingle Xun-Yuan Zeng
曾勛苑
Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example
author_sort Xun-Yuan Zeng
title Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example
title_short Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example
title_full Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example
title_fullStr Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example
title_full_unstemmed Applying Logistic Regression Method to Analyze the Effects of Landslide on Rainfall Threshold Value for Debris Flow Warning –Using the Watershed of Chenyoulan Stream as An Example
title_sort applying logistic regression method to analyze the effects of landslide on rainfall threshold value for debris flow warning –using the watershed of chenyoulan stream as an example
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/58277895047279183314
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