有效的地下水資源管理，需精確瞭解含水層的水文地質狀況。所以本研究首先利用發生於自然中之空間變化之刺激源-河川水位變動，進行大尺度的掃瞄，結合循序連續線性估計法以及資料融合技術，並利用逆推的方法配合掃瞄資訊，辨識含水層水力特性，並進行參數敏感度分析，評估各項因子對逆運算之影響。其次本文結合地下水流數值軟體MODFLOW(MF)，考慮設定均質含水層與異質含水層對於河道滲漏量之差異，文中並利用河道流量估計法(SF)推估新虎尾溪本研究河段之河道滲漏量。
研究成果顯示，觀測井數與已知觀測井數為影響模式之重要因子，河川水位變動越小則推估之誤差增加，觀測井與河川距離越大則推估之精確度相對降低。利用SF法推估河道年滲漏量為264.2噸，比較MF法則與均質含水層差異較大，MF法均質含水層與異質含水層河道年滲漏量分別為170.9與205.4萬噸。同時利用Ferris(1962)解析模式與MF法評估河道水位上升後所增加之河道滲漏量，Ferris法推求河道水位上升2.5m後，所增加之河道年滲漏量為31.6萬噸，MF均質模式與異質模式則分別為26.4與34.3萬噸。由SF、Ferris與MF方法推估抬升河道水位對滲漏量可增加12.0％至18.5％效益。

Characterization of the hydrogeological parameters of an aquifer is an essential task. Traditional approaches of mapping the subsurface with surface geophysics or the recently emerging field-scale data fusion and tomographic approaches are either too expensive for basin coverage or provide information that does not directly address issues related to groundwater.
The purpose of this study is to apply tomographic approach to imaging the subsurface at the basin scale, and perform MODFLOW model with homogeneous and heterogeneous method, and stream-flow estimation model to estimated the stream infiltration under consideration at the variation of stream water level in Hsinhuwei stream. The sensitivity analysis had provided. Several cases are investigated and analyzed.
The results indicate that assessment of the stream infiltrations obtained with stream-flow estimation model are 2,642,000 tons/year, and MODFLOW model with homogeneous and heterogeneous method are 1,709,000 and 2,054,000 tons/year, respectively. As the stream water level raised about 2.5 meters, the amounts of stream infiltration estimated from the Ferris analytical model are significant increments of 316,000 tons/year and MODFLOW with homogeneous and heterogeneous model are 264,000 and 343,000 tons/year, respectively. Consequently, an increase stream storage will result in an increase groundwater recharge between 10.0％ and 18.5％.

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