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首页> 外文期刊>Open Journal of Geology >Copper, Zinc, and Lead Mineral Prospectivity Mapping in the North of Tafresh, Markazi Province, Central Iran, Using the AHP-OWA Method
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Copper, Zinc, and Lead Mineral Prospectivity Mapping in the North of Tafresh, Markazi Province, Central Iran, Using the AHP-OWA Method

机译:铜,锌,铅矿物前瞻性米尔北北部,Markazi省,伊朗中部Markazi省,使用AHP-OWA方法

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摘要

The reason of this research is to identify the favorable areas for copper, zinc, and lead mineralization in the western part of the 1:100,000 Tafresh geological Sheet in the Urmia-Dokhtar structural zone of Iran. Effective data layers for mineralization, such as geology, geochemistry, structures, and satellite images, were analyzed and then integrated using the AHP-OWA method to identify favorable areas. Geochemical stream samples were analyzed by univariate, multivariate, and classical statistical methods and revealed the first, second, and third class anomalies for copper, zinc, and lead in the study region. Detection of hydrothermal alteration zones by Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery in various algorithms, such as Relative absorption Band Depth (RBD), Minimum Noise Fraction (MNF), and Least Square Fit (LS-Fit), shows that argillic, phyllic, propylitic, and iron oxide alterations develop around the faults in the area under study. The favorable areas for copper, zinc, and lead mineralization have been identified by a combination of evidence maps of lithology, faults, dikes, geochemistry, and alteration data layers. Field observations in the area under study have confirmed the results.
机译:该研究的原因是识别伊朗乌兰武器结构区的1:100,000塔克斯地质片的西部铜,锌和铅矿化的有利区域。分析了用于矿化的有效数据层,例如地质,地球化学,结构和卫星图像,然后使用AHP-OWA方法集成来识别有利区域。通过单变量,多变量和经典统计方法分析地球化学流样本,并揭示了铜,锌和研究区铅的第一,第二和第三类异常。在各种算法中检测高级星载热发射和反射辐射计(紫色)卫星图像的水热改变区,例如相对吸收带深(RBD),最小噪声分数(MNF),以及最小二乘拟合(LS-FIT),显示野石,文学,丙基和氧化铁改变发生在研究区域的故障周围。通过岩性,断层,堤坝,地球化学和改变数据层的证据地图的组合,已经确定了铜,锌和铅矿化的有利区域。在研究区域的现场观察证实了结果。

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