李建堂2006-07-252018-06-282006-07-252018-06-282002http://ntur.lib.ntu.edu.tw//handle/246246/11405本研究經由長方形網格採樣設計，自 草漯海岸沙丘中的沙灘/沙丘系統採取 120 個沉積物樣本用來評估：(1)對數-雙曲 線分布於粒徑分析的適用性;以及(2)利用 對數-雙曲線分布中的敏感參數來區分沙 灘/沙丘系統中不同沉積環境的可行性。 研究顯示有98 個樣本(81.7%)的粒徑 分布合於對數-雙曲線分布，同時其偏態和 峰度參數(Chi 和Xi)散點圖均位於對數-雙 曲線形狀三角形內。此結果顯示，對數- 雙曲線分布模式適用於本研究沉積物的 粒徑分布。另外，由對數-雙曲線模式導出 的主要參數，經簡單變異數分析顯示，有 5 個敏感參數在沙灘和沙丘中有顯著的差 異(=0.05)，而用此5 個參數區別沙灘和 沙丘沉積環境的準確性達78.6%，因而利 用對數-雙曲線分布的敏感參數來區分不 同沉積環境是可行的。Total 120 surface sediment samples were collected from the beach/dune system in Tsaota coastal dune area by means of rectangular grid sampling design to assess: (1) the suitability of log-hyperbolic distribution for grain size analysis; and (2) the applicability of sensitive parameters derived from the log-hyperbolic distribution model to discriminate sediments between beach and dune sub-environments. Results indicated that 98 of 120 samples (81.7%) could fit the log-hyperbolic distribution and scatter plots of Chi and Xi located within the log-hyperbolic shape triangle. This suggested that the log-hyperbolic distribution is the appropriate model for sediment grain size distribution in this study. Five sensitive parameters of log-hyperbolic distribution were determined by means of simple variance analysis. Those parameters are significantly different between beach and dune sub-environments (=0.05). Meanwhile, the discriminant analysis indicated that the accuracy of discrimination between beach and dune sediments via these 5 sensitive parameters is 78.6%. Thus, it is applicable of using sensitive parameters derived from the log-hyperbolic distribution to discriminate beach/dune system sub-environments.application/pdf204223 bytesapplication/pdfzh-TW國立臺灣大學地理環境資源學系暨研究所粒徑分析對數-雙曲線分布對數-雙曲線形狀三角形草漯 海岸沙丘grain size analysislog-hyperbolic distributionlog-hyperbolic shape triangleTsaota coastal dunereporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/11405/1/902116M002017.pdf