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本文首次开展了实测梯度数据的延拓转换处理方法的研究,首先利用理论公式推导证明实测的梯度数据进行延拓转换处理的可行性,并设计了单一理论模型,绘制了梯度上延数据及ΔT上延后求导的理论平面剖面曲线图,定性分析两者的一致性程度;同时设计了复杂模型体群,开展了梯度数据进行延拓转换处理后的数据解释规律的研究,梯度数据的主要目的是突出浅部异常体,其上延处理的意义则是相对于较深部异常体更能突出浅部异常体,同时实测的梯度数据进行延拓后的结果相比于ΔT异常求导后再上延的结果更接近于真实的情况等结论.同时利用实测的两个不同飞行高度的梯度数据,针对利用模型得出的规律性结论进行实例验证,并分析该规律的应用思路.
In this paper, the method of continuation transformation processing of the measured gradient data is first carried out. The feasibility of continuation transformation processing of the measured gradient data is proved by theoretical formula. A single theoretical model is designed and the data of gradient extension and ΔT On the basis of the theoretical plane profile graph of delayed derivation and the qualitative analysis of the consistency of the two. At the same time, a complex model body group was designed and the data interpretation rule of gradient data was extended. The main data of gradient data The purpose of this study is to highlight the superficial anomalous body. The significance of its upside-down treatment is to highlight the superficial anomalous body in relation to the deeper anomalous body. Compared with the results of the ΔT anomaly after the measured gradient data are extended, The result of the extension is closer to the true situation and so on.At the same time, using the measured data of the gradient of two different flight altitudes, the author verifies the regular conclusion drawn by the model and analyzes the application of the law.