碩士 / 長榮大學 / 土地管理與開發學系碩士班 / 104 / Taiwan is located in Pacific volcanic seismic zone (Ring of Fire) and typhoons, heavy rains and earthquakes often occur. About 73% of Taiwan’s total area is covered by mountains and hills. Coupled with diverse mountain landscape and fragile geology, most of the time sediment disasters such as landslides and debris flow are induced. Therefore, the assessment of rainfall-induced landslides is indeed an important task.
The logistic regression is employed to establish the evaluation model of landslide potential. The study area in this research is Tapang Village, which is the upstream of Tsengwen Dam watershed in the southern Taiwan. The satellite images before and after the year 2013 (including 4 rainfall events) were acquired and used. The Genetic Adaptive Neural Network (GANN) was implemented in the analysis techniques for the interpretation of satellite images and to obtain surface information and hazard log data. The elevation, slope, aspect, geology, slope roughness, distance from the fault, slope disturbance, and effective accumulative rainfall are used as fundamental factors in this research. The geographic information system was used to plot potential map of landslide in the study area.
The results of landslide assessment show that the average value of correct rate is 82%. In addition, the results indicate that the assessment model is conservative. Most landslide sites occur in the southwestern slope between 30˚ and 40˚, elevation between 1,050 and 1,350. The higher the degree of slope disturbance, the probability of landslide also higher.
| Identifer | oai:union.ndltd.org:TW/104CJU00019012 |
| Date | January 2016 |
| Creators | YANG,TZU-YI, 楊子宜 |
| Contributors | CHEN,YI-RUEI, 陳怡睿 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 59 |
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