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    題名: Assessment of Active Tectonics Using Geomorphic Indices in the Badlands of Southwestern Taiwan;Assessment of Active Tectonics Using Geomorphic Indices in the Badlands of Southwestern Taiwan
    作者: 李啟彥;ALI, KIFAYAT
    貢獻者: 應用地質研究所
    關鍵詞: 構造抬升;泥岩惡地;古亭坑地層;高程積分指數;流域地形分析;Tectonic uplift;Badlands;Gutingkeng Formation;Hypsometric Indices;Drainage Basins
    日期: 2026-04-28
    上傳時間: 2026-10-20 17:11:56 (UTC+8)
    出版者: 國立中央大學
    摘要: 摘要
    臺灣西南部惡地位於活動性的褶皺逆衝帶內,主要發育於高度易侵蝕的古亭坑泥岩地層。由於該區缺乏明確可辨識之河流下切地形指標,本研究利用小型集水盆地所衍生之地形指數,以評估不同構造環境下地貌對隆升作用之空間變化響應。本研究整合高解析度(1.8 cm 至 10 cm)無人機數值地表模型(UAV-DSM)與 1 m 光達數值高程模型(LiDAR DEM),並結合水準測量、導線測量及全球導航衛星系統(GNSS)所取得之大地測量資料,以探討地殼隆升與流域尺度地形形態之關係。利用 MATLAB TopoToolbox v2.4 與 ArcGIS 計算子流域之高程積分(HI)、高程曲線形態及流域起伏(BR)。中寮地區(24 個流域;總分析面積 20,650 m²)位於車瓜林斷層與旗山斷層之間,處於快速隆升區域,其垂直速率介於 25.3 至 93.6 mm/year,代表平均隆升速率為 60 mm/year。該區流域呈現較高之 BR 值,且高程曲線多為凸形至 S 形。UAV 與 LiDAR 所得之地形指標結果具有高度一致性(UAV平均 HI = 0.48 ± 0.05;平均 BR = 38.33 ± 11.47 m;LiDAR:平均 HI = 0.47 ± 0.05;平均 BR = 38.38 ± 11.08 m),顯示不同資料來源之地形指標具有良好一致性。月世界地區(12 個流域;總分析面積 2,739 m²)位於小滾水背斜西翼,並與古亭坑斷層具構造關聯,其平均隆升速率為 12 mm/year,流域主要呈現 S 形高程曲線,地形指標屬中等程度(平均 HI = 0.50 ± 0.03;平均 BR = 26.62 ± 8.49 m)。相較之下,山南宮地區(27 個流域;總分析面積 5,062 m²)位於龍船斷層之下盤,屬於龍船背斜構造域,其平均隆升速率為 22 mm/year。該區之平均 HI(0.48 ± 0.08)與其他地區相近,但 BR 較低(22.99 ± 5.85 m),且高程曲線形態變異較大。整體而言,研究結果顯示各區之 HI 值差異不大,但 BR 與高程曲線形態之顯著差異指出,地形指標並未隨十年尺度之隆升速率呈線性變化。此外,UAV 與 LiDAR 所推導之地形指標(HI、BR 與 HC)之高度一致性亦顯示,在本研究條件下,即使空間解析度較低,1 m LiDAR DEM 仍可有效重現流域尺度之地形分析結果,支持其於區域尺度地形形態分析之應用。
    關鍵字 : 構造抬升、泥岩惡地、古亭坑地層、高程積分指數、流域地形分析;Abstract
    The badlands of southwestern Taiwan are located within an active fold-and-thrust belt and are developed predominantly in the highly erodible Gutingkeng Mudstone. In the absence of clearly identifiable fluvial markers of river incision in the Gutingkeng mudstone badlands, geomorphic indices derived from small drainage basins are used to assess spatial variations in landscape response across contrasting tectonic settings. This study integrates high-resolution (1.8 cm to 10 cm) UAV-derived Digital Surface Models (DSMs) and 1 m LiDAR Digital Elevation Models (DEMs) with geodetic datasets derived from leveling, traverse, and GNSS measurements to examine the relationship between uplift and basin-scale morphometry. Hypsometric integral (HI), hypsometric curve shape, and basin relief (BR) were calculated for delineated sub-basins using MATLAB TopoToolbox v2.4 and ArcGIS. The Zhongliao Site, (24 basins; 20,650 m² total analyzed basin area), located between the Chegualin and Chishan Faults, lies within a zone of rapid uplift where vertical velocities range from 25.3 to 93.6 mm/year and the representative mean uplift rate is 60 mm/year. Basins at this site exhibit relatively high BR values and predominantly convex to S-shaped hypsometric curves. Morphometric results derived from UAV (mean HI = 0.48 ± 0.05; mean BR = 38.33 ± 11.47 m) and LiDAR datasets (mean HI = 0.47 ± 0.05; mean BR = 38.38 ± 11.08 m) show strong agreement, indicating consistency of extracted geomorphic metrics across datasets. Moonworld Park (12 basins; 2,739 m² total analyzed basin area) is located on the western limb of the Hsiaokunshui Anticline and is structurally associated with the Gutingkeng Fault. The site has a mean uplift rate of 12 mm/year and exhibits S-shaped hypsometric curves with moderate morphometric values (mean HI = 0.50 ± 0.03; mean BR = 26.62 ± 8.49 m). In contrast, the Shan-Nan Temple Site, (27 basins; 5,062 m² total analyzed basin area), located in the footwall of the Lungchuan Fault within the Lungchuan Anticline deformation domain, records a mean uplift rate of 22 mm/year and exhibits similar mean HI (0.48 ± 0.08) but lower mean BR (22.99 ± 5.85 m) and greater variability in hypsometric curve shape. Overall, the results demonstrate that while HI values are broadly similar across sites, significant differences in BR and curve morphology indicate that geomorphic indices do not scale linearly with decadal uplift magnitude. Furthermore, the strong correspondence between UAV- and LiDAR-derived geomorphic indices (HI, BR, and HC) indicates that 1 m LiDAR DEMs can reproduce basin-scale morphometric results in this study, despite their lower spatial resolution, supporting their use for regional-scale morphometric analysis.
    Keywords: Tectonic uplift, Badlands, Gutingkeng Formation, Hypsometric Indices, Drainage Basins
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