民國98年8月莫拉克風災引起高雄市小林里(原小林村)大規模崩塌，造成重大災情，並造成各界對大規模崩塌的重視與研究。但目前對大規模崩塌由緩慢運動轉變為快速運動的機制並不瞭解。本研究主要目的是為了解發生快速運動的大規模崩塌的地形條件與其影響因子，故利用旗山溪小林里到甲仙與曾文溪支流-後堀溪兩區，使用莫拉克颱風前及後之光達數值地形資料與大規模崩塌影響因子，嘗試找出潛在大規模崩塌區位與其轉變為快速運動的因子。
本研究工作項目分為地形特徵判釋與大規模崩塌因子統計。在判釋結果方面，利用2009年莫拉克災後航照與高精度數值地形資料產製之坡度圖判釋出34處的大規模崩塌區位與199處潛在大規模崩塌區位，而在莫拉克災前判釋結果，則有199處潛在大規模崩塌區位。分析經莫拉克颱風侵襲，潛在大規模崩塌轉換為快速運動之大規模崩塌，其各地形特徵及與影響因子之相關統計。
分析結果顯示，在地形特徵方面，在34處崩塌區位均可發現判釋之主崩崖特徵，顯示出主崩崖是發生大規模崩塌的主要地形特徵，在發生大規模崩塌的影響因子評估方面，因子統計上篩選出有順向坡、崩塌地離河道距離、距構造跡線距離、主崩崖至坡體頭部距離(d)與滑動體長度(L)比例、距道路距離、雨量、坡度、河道侵蝕，共八個因子是潛在大規模崩塌轉變為快速運動之重要因子。

Typhoon Morakot in August 2009 attacked Taiwan caused massive landslides Xiaolin Village, causing a major disaster, and large scaled landslides on the importance of community and research., the slow movement of mass collapses into a fast-moving mechanism is not understood. Purpose of this study is to understand the rapid movement of large-scale landslides occurred terrain conditions and evaluation of landslide activity, so use of the Chishan Kobayashi village to Jiasian with Zengwun tributaries - the two areas after the Taku River Morakot disaster LiDAR digital elevation model aerial photographs and topographic mapping a massive landslide, interpretation area greater than 10 hectares of fast motion has occurred location and massive collapse did not occur fast motion but with the collapse of massive avalanche terrain location, and compared to the 2005 LiDAR digital elevation model.
This study is divided into two major part of mapping large-scale topographic features and influ factor of larege scaled landslide statistics. Mapping large scaled landslide use the aerial photographs in 2009 Morakot disaster information with the precision of digital terrain slope map production system. identify 34 place occurred large scaled landslide and 199 landslide potentially large scaled landslide location, while in pre-disaster Morakot identify the results, there are 199 potentially large scaled landslide location. Analysis by typhoon Morakot of the potential large-scale ladnslide into rapid motion by the shape characteristics and influencing factors of the large scaled landslide statistics.
The results show that in the topographic features, the landslide area in the 34 place interpretation can be found in the crown feature, showing the crown is the main topographic features of large scaled landslide, in the event of large-scale assessment of the impact Dip slope , factor statistically filter out a forward slope, landslide from the river, distance to construct trace distance to the main slope collapsed cliff head distance (d) and the sliding body length (L) ratio, distance to road, rainfall, slope, river erosion, a total of eight factors are potentially large scaled landslide into a fast-moving important factor.

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