Taylor iteration downward continuation method for gravity gradient tensor data

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• 作者：Shuiliang Tang ; Danian Huang
• 关键词：Gravity gradient tensor ; Taylor iteration downward continuation ; Convergence ; Iterations radio
• 刊名：Acta Geodaetica et Geophysica
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：51
• 期：3
• 页码：435-449
• 全文大小：3,069 KB
• 刊物主题：Geophysics/Geodesy;
• 出版者：Springer Netherlands
• ISSN：2213-5820
• 卷排序：51

文摘

Gravity gradient tensor downward continuation can highlight the anomaly characteristics of the shallow, reflect the characteristics of abnormal body horizontal density variation. Nowadays, most gradient tensor downward continuation studies are focusing on spatial domain, and the current obstacles are slow computation speed and small downward continuation height in frequency domain research. In this study, we showed a new method to downward continuation of gravity gradient data using Taylor iteration method. The general Taylor iteration method formula was deduced, and we proved the convergence of the approach. Modeling experiment showed a good fit to large point spacing. The analysis of the iterations radio showed that the Taylor expansion item is correlated with convergence speed. Furthermore, the application to the actual data of America Vinton, LA demonstrated that Taylor iteration method has a good effect to actual data.