太麻里溪與知本溪二流域土砂災害因子之量化評估分析研究

Analysis on the Sediment Disaster Factors Contributed to the Slopeland in Taimali and Chihpen Watershed

蔡光榮(Kung-Jung Tsai) ； 陳昆廷(Kun-Ting Chen) ； 謝正倫(Cheng-Lun Shieh)

《水保技術》 5卷1期 (2010/01) Pp. 49-57

https://doi.org/10.30040/JSWCT.201001.0005

摘要

台東地區河川源短流急，地質構造發達，降雨分布不均，每年均受來自太平洋之颱風侵襲，加上東部地區地震頻繁，導致坡地土砂災害增擴。有鑑於此，本研究利用太麻里溪集水區及知本溪集水區522筆治理工程點位資料，並運用GPS/GIS/RS整合技術，進行其工程現況調查，並針對台東地區之地質構造、土壤特性、植生情形、氣象水文與集水區土砂災害特性等，萃取出地形平均坡度、坡向、24hr最大累積雨量、植生NDVI值、表土種類、岩層類型及工程種類等七項土砂致災因子，再利用多元線性迴歸分析法進行土砂災害因子量化評估分析，據以建立適用於台東地區之坡地土砂災害風險評估模式，以期提供台東地區相關單位研擬地區性防救災對策之參考。

關鍵字

土砂災害 ； 多元線性迴歸分析法

並列摘要

The topography of hilislopes at Taitung County in eastern Taiwan are quite steep combined with fragile geological structure. Chihpen and Taimali watersheds located at Taitung County were selected as study areas. In this research Mechanism, behavior, and scale of the sediment disasters are analyzed to rule out their interaction of the factors contributed to the instability of slopeland. In this study, applications of global positioning systems (GPS) would be used to get all disaster site location. Geographic information systems (GIS) and remote sensing (RS) techniques are integrated and used to establish the sediment related to the disaster database system. 522 engineering structures related data were investigated from the field and analyzed by using the Multiple Linear Regression Analysis. Finally, GPS/GIS/RS integrated with the digital field data was used to offer as an indication of the factors regarding to the sediment disaster occurrence. All results finished by this study can help Taitung Country set up its own disaster prevention system and keep well development of rural and city in the eastern Taiwan.

並列關鍵字

Sediment Disaster ； Multiple Linear Regression Analysis