GOCE卫星重力数据在矿产勘查中的应用

Nicholas Chipanta, Foster Lubilo, P. Nyimbili, A. Mwanza, Robert M'sendo, T. Erden
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引用次数: 0

摘要

重力与密度成正比,因此可以利用可测量的重力来绘制地球内部的密度变化图。利用密度作为矿产勘探的一种手段,在更大的覆盖范围内具有成本效益。欧空局GOCE卫星在255公里高度和10公里间隔收集的GOCE重力数据,从而在全球范围内获得多个重力点,使重力测量在矿物勘探中的应用成为可能。重力扰动数据采用EGM2008大地水准面模型和ETOPO1模型计算的WGM2012改正量进行校正,参考重力采用Somigliana公式计算。使用Surfer和Q-GIS绘制了赞比亚的重力扰动图,其中有600多个已知矿物点控制点与其他地表特征(如道路、河流、铁路等)一起绘制。通过使用三重积分原理将控制点与不同的重力扰动联系起来,谨慎的分析导致了重力扰动的地质分类,这基本上涉及在赞比亚不同地区绘制主要矿物产地。在地面实况调查过程中,我们观察到,在分类地图上一个特定区域内的结果与使用四(4)种不同金属探测器以及另一种遥感方法获得的结果是一致的。使用的金属探测器有GR-100MINI、AKS、AKS plus 3D和Garrett Ace 400,每种都有自己的特点。从地图输出结果来看,GOCE数据可以用于地质分类和地形类型圈定。分类图输出的地形类型圈定与现有地质图的地形类型圈定相匹配,并提供了亚地形类型圈定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of GOCE Satellite Gravimetric Data For Mineral Exploration
Gravity is directly proportional to density thereby making possible the use of measurable gravity in mapping the density variations in the earth’s interior. The use of density as a means of mineral exploration is cost-effective for wider area coverage. GOCE gravity data, collected by ESA’s GOCE satellite at 255km altitude and 10km intervals leading to the acquisition of multiple gravity points over the globe made possible the application of gravimetry in mineral exploration. Gravity disturbance data sourced from BGI- was corrected with WGM2012 corrections computed using EGM2008 geoid and ETOPO1 models, with reference gravity computed using the Somigliana formula. The gravity disturbances were mapped over Zambia using Surfer and Q-GIS, with over 600 control points of known mineral occurrences plotted together with other surface features like roads, rivers, railways, etc. By relating the control points to the varying gravity disturbances using the triple integral principle, a cautious analysis led to the geological classification of the gravity disturbances which essentially involved mapping predominant mineral occurrences across different parts of Zambia. During ground truthing, it was observed that the results within a particular area of interest on the classified map, and those obtained using four (4) different metal detectors as well as another remote sensing method tallied. The metal detectors used were the GR-100MINI, AKS, AKS plus 3D, and Garrett Ace 400, each with its own characteristics. From the map outputs, the results showed that GOCE data can be used for geological classification and delineation of terrain types. The delineation of terrain types on the classified map output matched that on existing geological maps and also offered the delineation of sub-terrain types.
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