Relationship between transmissivity and specific capacity in the volcanic aquifers of Jeju Island, Korea     

Se-Yeong Hamm  Jae-Yeol Cheong  Seong Jang  Cha-Yeon Jung  Bong-Sang Kim 《Journal of Hydrology》2005,310(1-4):111-121

Transmissivity is often estimated using specific capacity data when standard pumping test data are not available or the drawdown is stabilized early, as in this study. Previous researchers studied the relationship between transmissivity and specific capacity in the leaky aquifer system of volcanic rocks on Jeju Island, Korea, using the Cooper–Jacob equation. The current study utilizes the Moench leaky aquifer model. The linear relationship between transmissivity and specific capacity on a log–log scale for volcanic aquifers on Jeju Island is remarkably strong, with a correlation coefficient of 0.94. The width of the 90% prediction interval is about 0.89 log cycles, indicating a ±0.44 order of magnitude uncertainty when transmissivity is estimated using specific capacity.  相似文献   

Investigating 2-D MT inversion codes using real field data   总被引：1，自引：0，他引：1  

Reza Ghaedrahmati  Ali Moradzadeh  Nader Fathianpour  Seong Kon Lee 《Arabian Journal of Geosciences》2014,7(6):2315-2328

There are currently a significant number of two-dimensional (2-D) and three-dimensional (3-D) inversion codes available for magnetotelluric (MT) data. Through various 2-D inversion algorithms suggested so far, the classical Occam's inversion, the data space Occam's inversion, the nonlinear conjugate gradient (NLCG) method, and the Gauss–Newton (GN) method are fundamental driving methods to find optimum earth models, and OCCAM, DASOCC, NLCG, and MT2DInvMatlab are possible candidates one can find in the public domain that implement these algorithms for 2-D MT inversions, respectively. In this study, we investigate the pros and cons (strength and weakness) of these codes to help one use them efficiently in practical works and, as an introductory guide, further develop (sophisticate or extend) them, especially for the 3-D case. To achieve this goal, we applied each one of the four aforementioned codes on a profile of real MT field dataset. Then, further investigations have been done by performing several inversion tests to see how each code can find the appropriate model to reconstruct the subsurface resistivity structure. Numerical experiments show that the two parameters, regularization and target misfit, in addition to the main criteria of inversion (such as the forward and the sensitivities calculation method, and the type of inversion algorithm), are very important to produce the expected model in inversion. The regularization parameter that acts to trade off between model norm and data misfit can affect the inversion process in terms of both the computational efficiency and the accuracy of the obtained model. Also, lack of insufficient precision to choose the target misfit can lead the inversion to produce and reach an incorrect model.  相似文献