相對於歐亞板塊，菲律賓海板塊以82 mm/yr朝西北方向擠壓，使得位於兩板塊交界處之臺灣地區控制點坐標發生位移。目前臺灣採用傳統靜態基準的三維大地坐標控制系統TWD97@2010.0坐標框架，此框架下之各點坐標隨著時間的累積而將失其精確性。本研究以台灣西南部作為研究區域，蒐集中央地質調查所2002.0至2011.0的221個GPS移動站觀測資料，透過坐標之時間序列分析求得速度量，並藉由內插法及塊體模型法建立地表速度模型，以修正坐標偏移量以維護坐標系統的精確度，本研究同時使用44個台灣西南部地區之GPS連續站觀測資料進行模型精度的驗證。內插法模型假設地表速度場在空間的變化為連續的，因此，本研究以Kriging內插法建立速度模型，並以指數模式之半變異元求得權重關係建立區域地表速度模型。得移動站速度實際觀測值與模型計算值於N方向上之RMS為0.31 mm/yr；E方向為0.28 mm/yr；連續站的速度量差異在N方向為1.86 mm/yr；E方向為2.21 mm/yr。另由塊體模型(DEFNODE)建立的速度模型，在考慮8條斷層作用之影響下，移動站速度實際觀測值與模型計算值於N方向的RMS為2.04 mm/yr；E方向為2.82 mm/yr；連續站速則在N方向為2.01 mm/yr；E方向為2.88 mm/yr。本研究亦採用坐標轉換法以考慮地殼變形的影響。本文最後以44個連續站坐標作為模型檢驗站，評估震間時期點位坐標，從2004.0至2010.167的變化，並比較三種方式維持坐標系統的精確度能力以及估計其坐標使用年限，不考慮地震假設下，Kriging模型坐標使用年限可至2030年；塊體模型坐標則至2018年；坐標轉換法僅為2009年，因此，Kriging模型為台灣西南部建立動態坐標最佳方式。

Taiwan is also one of countries located at the plate boundary between the Eurasian plate and Philippine Sea plate. Philippine Sea plate moves toward the Eurasian plate with 82 mm/yr, which results in the generation of the Taiwan mountain belt. Therefore, we could observe the surface displacement due to the crustal deformation at the plate boundary environment. Taiwan Datum is a static geocentric datum complaint with the International Terrestrial Reference Frame 1994 at the first epoch, January 2010, in which coordinates of control points are unchanged with time. In order to consider the crustal deformation effect, we select 221 campaign-mode GPS stations for GPS horizontal velocity field and establishing intersiesmic velocity model by Kriging and block model. Unbiased estimation and optimal prediction are characteristic of Kriging. Using exponential model of semivariogram establish Kriging velocity model. The block model of secular field started with analytical model representing horizontal crustal motion developed using the computer code DEFNODE which incorporates 8 faults located in SW Taiwan. For Kriging model, the RMS residual for 221 campaign-mode GPS vectors were 0.31 mm/year in north component and 0.28 mm/year in the east component. The RMS residual for 44 continuous GPS velocity vectors were 1.86 mm/year in north component and 2.21 mm/year in the east component. For block model, the RMS residual for 221 campaign-mode GPS vectors were 2.04 mm/year in north component and 2.82 mm/year in the east component. The RMS residual for 44 continuous GPS velocity vectors were 2.01 mm/year in north component and 2.88 mm/year in the east component. The last method is coordinate transformation which takes advantage of Mathematics to consider the crustal deformation effect. In the final, 44 continuous GPS stations serve as examine-point to compare these methods what is the best way to establish dynamic datum in terms of accuracy and age limit of coordinate system. In interseismic period, the useful time of Kriging model is till 2030; block model is till 2018; coordinate transformation is only 2009. In the conclusion, Kriging is the best method for dynamic datum in SW Taiwan.

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