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逐步高斯模擬法與克利金法於流通係數空間變異研究

Gaussian Sequential Simulation and Kriging Method to Spatial Variability Study of Transmissivity

摘要


流通係數為區域性地下水資源研究之最基本參數。然而於非均質地區,此參數之採樣資料常顯現出許多的極端值,或區域內複雜的空間變異。條件隨機模擬法能模擬出一些較佳,且具整體意義之模擬值,這些模擬值可能更接近實際空間變異。本研究以雲林北港溪斗六丘陵以西地區之流通係數為例,應用一般克利金、自然對數克利金與逐步高斯模擬法,分別估計與模擬此區域流通係數的空間分佈,並比較此三方法之結果。研究結果顯示,逐步高斯模擬法所模擬之流通係數空間分佈,其較能顯現研究區內複雜的空間變異,其次為自然對數克利金法,而一般克利金法較不能顯現出複雜空間變異與不均勻性。估計與模擬之空間分佈展現於地理資訊系統。

並列摘要


Transmissivity is the most basic parameter for regional groundwater study. In the heterogeneous area, this parameter sometimes displays complex spatial variation. Conditional simulation methods can simulate a set of values that have global sense of investigated variable over investigated area, and in addition, reproduces observed data at several locations. In this study, the spatial distribution of transmissivity is simulated by using the conditional simulation, and estimated by using ordinary kriging and natural log kriging at the east banks of the middle and upper streams of Peikang River in Yun-Lin County in Taiwan. The results show that the simulated results are much more match the complex spatial fluctuation of transmissivity over study area than the kriging and natural log kriging estimated results. These simulated and estimated results are shown in geographic information systems.

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