本研究以高屏溪上游集水區為研究區域，探討颱風降雨事件後集水區新增崩塌地面積及其發生頻率之關係。本研究分別選用2008年莫拉克颱風前後與2010年凡那比颱風前後之福衛二號衛星影像，並結合地理資訊系統來進行高屏溪上游集水區新增崩塌地的選取。結果顯示兩場颱風降雨都產生大量的新增崩塌地；以新增崩塌地面積當作事件之規模，發現崩塌面積大於0.1公頃的新增崩塌地面積及其發生頻率之關係符合冪次定律關係，說明了新增崩塌地面積及其發生頻率之間具有自組織臨界特性。在雙對數座標圖上，以新增崩塌地面積為橫坐標，以發生頻率為縱座標，其斜率β值代表新增崩塌地面積與發生頻率之變化率，斜率值越小代表崩塌發生頻率較高。本研究針對誘發因子(雨量)及地文因子(高程、坡度、地質及土地利用)對斜率β值之影響進行分析，結果顯示總累積雨量越大其對應到的斜率β值會越低；地文因子上在高程位於3,000-3,500m、坡度分類位於三、四級坡，地質分類於達見砂岩、大南澳片岩、西村層、佳陽層上及土地利用為草生地及裸露地的區域，其斜率β值在各類別下較低。本研究也探討集水區主流河道寬度增量及其發生頻率之關係，對研究區域內三條主要河流(旗山溪、荖濃溪及隘寮溪)以福衛影像進行主流河道寬度的判識，再以每100公尺切割一個斷面，針對河寬增量的發生規模與頻率進行探討，結果顯示發生規模大於100公尺河寬增量的發生頻率與規模呈現冪次關係，具有自組織臨界性。

The purpose of this study is to assess the different factor risk for the newly increasing landslides in the Gaoping River upstream watershed. The newly landslides was chosen within a geographic information system based on Formosa satellite II image analysis during typhoon Morakot and Fanapi. The power-law distribution was exhibited based on the magnitude-frequency statistics when landslide area over 0.1 ha. Therefore, this pattern suggested that the newly landslide in Gaoping River upstream watershed has self-organized critical. We recognized the β-value in the double-log diagram while landslide area in the x-axis and landslide frequency in the y-axis, and β-value was associated with the hazardous risks. We selected five probably causing landslide factor, including cumulative rainfall, elevation, gradient, lithology and land-use to assess the landslide risks .The results showed high cumulative rainfall, elevation between 3,000 to 3,500m, gradient in third and fourth gradient, geology setting in Tachien sandstone, Tananao schists and Nishimura formation, and land-use in grassland and uncover-land have the highest risk in the landslide occurrence .This study was also discussed the river-width widening in the Kaoping River watershed. We had characterized river-width widening (including Cishan, laonong, and Iliao River) after Typhoon Morakot disturbance interpreted from a temporal pair (2008 and 2009) image analysis, and the river-widths were extracted per 100 m along the river. The magnitude-frequency distribution of river-width widening over 100 m exhibited the power law, it showed that this pattern also has self-organized critical.

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