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首页> 外文期刊>Survey Review >DETERMINATION OF OPTIMUM RESIDUAL GRAVITY ANOMALIES FOR MINERAL EXPLORATION: A LEAST SQUARES COLLOCATION APPROACH
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DETERMINATION OF OPTIMUM RESIDUAL GRAVITY ANOMALIES FOR MINERAL EXPLORATION: A LEAST SQUARES COLLOCATION APPROACH

机译:确定矿产勘查的最佳剩余重力异常:最小二乘集合法

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摘要

Analysis of gravity anomalies, measured on the earth's surface, can reveal information on sub-surface structures of the earth. The first step in this analysis is to extract residual gravity anomalies (needed for mineral exploration) from the observed gravity anomalies. Currently, a classical least squares technique is used to achieve this aim. However, this technique does not produce optimum results because it assumes that the observed gravity anomalies used for the computation of residual gravity anomalies are error free, whereas, all observed quantities are affected by random errors. In this study, an attempt was made to extract the residual gravity anomalies from the observed gravity anomalies using a least squares collocation technique. The least squares collocation technique was considered to be a better alternative because its formulation takes the presence of random errors of observations in the observed quantities into consideration and makes provision for filtering out the errors from the observed quantities while predicting the needed signals at the required number of points.
机译:对地球表面测得的重力异常的分析可以揭示有关地球地下结构的信息。该分析的第一步是从观测到的重力异常中提取残余重力异常(矿物勘探所需)。当前,经典的最小二乘技术用于实现该目的。但是,此技术不会产生最佳结果,因为它假定用于计算剩余重力异常的观测重力异常没有误差,而所有观测量都受到随机误差的影响。在这项研究中,尝试使用最小二乘搭配技术从观测到的重力异常中提取残余重力异常。最小二乘配置技术被认为是更好的选择,因为它的公式化考虑了观测量中观测值的随机误差的存在,并提供了从观测量中滤除误差的功能,同时预测了所需数量的所需信号点。

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