Editorial

IF 0.9 Q4 GEOSCIENCES, MULTIDISCIPLINARY
S. Jowitt
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Their research indicates that although no single Icelandic basalt sampled during their study is ideally suited for use as a basalt fibre feedstock, the addition of small amounts of CaO to some of their samples significantly improves the potential of these basalts, suggesting that Iceland may be capable of providing basalt that can be used in this manufacturing process. The second paper in this volume outlines a potential addition to the mine planning toolbox by examining an unmanned aerial vehicle (UAV; sometimes known as drones) approach to lithological classification within an open pit phosphate mine in Brazil (Beretta et al. 2019). The authors assessed the viability of surface feature detection using visible light-based data and machine learning-based algorithms to generate a complete geological model for the mine. This model was then compared to a geological model obtained using traditional methods. The comparison indicated the usefulness of the UAV-based approach, which is not just quicker and potentially cheaper but is also safer than manual face mapping as operators do not need to be within the mine to acquire data. This is still an area that requires further research but this study outlines the potential use of this approach in moving towards more automated geological mapping systems. Parnell et al. (2019) change the focus of the issue towards more traditional economic geology-type research and present the results of the analysis of gases trapped within sulphide minerals in a number of areas of Palaeozoic gold mineralisation in Britain and Ireland. These data indicate that mineralisation hosted by Carboniferous cover units contains less non-aqueous gas than mineralisation hosted by greenschist units. In addition, combining the gas data presented in the study with the results of fluid inclusion microthermometry suggests that organic species may have a role in the genesis of orogenic gold mineralisation in addition to suggesting a potential role for trapped gas analysis in mineral exploration. The next paper in the issue provides an overview of the use of a mineral norm calculation in resource estimation, focusing on theMississippi Valley-type (MVT) sulphide and non-sulphide Zn–Pb mineralisation of the Florida Canyon deposit, Peru (de Oliveira et al. 2019). The approach taken by de Oliveira and Saldanha (2019) uses the concentrations of Zn, Pb, and S to calculate the abundance of sphalerite, galena, and nonsulphide minerals within a block model, allowing the detailed examination of the geometry and spatial relationships between the sulphide and non-sulphide mineralisation within the deposit. Understanding these relationships is key, not just for furthering our knowledge of the mineralising system that formed this deposit but also for mine planning and mineral processing, given that sulphide and non-sulphide ore types require different types of processing. The simple algorithm outlined by the authors is easy and quick to use and provides an approach that can be used during mineral resource assessments involving mixed ore types; the application here is for MVT-type mineralisation but this style of approach may also have uses in other mineralising systems that contain different ore types (e.g. oxide and sulphide ores). The penultimate paper in the issue outlines the geology of a Cu–Au skarn deposit within the Tien Shan belt of central Asia. Here, Abzalov et al. 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引用次数: 0

Abstract

Welcome to issue three of volume 128 of Applied Earth Science. This issue showcases some of the breadth of research published in Applied Earth Science and starts with a paper by Johannesson et al. (2019), who focus on a somewhat atypical use for basalt, the most common rock on Earth’s surface. The use of basalt as a building stone and aggregate is well known, but it can also be cast for use in industrial applications that make use of the natural characteristics of the stone. However, Johannesson et al. (2019) examine another potential use of basalt from Iceland in the form of material that can be used to generate continuous basalt fibres, a substance that has better physicomechanical properties than fibreglass but (given the right feedstock) is cheaper to produce than carbon fibre. Their research indicates that although no single Icelandic basalt sampled during their study is ideally suited for use as a basalt fibre feedstock, the addition of small amounts of CaO to some of their samples significantly improves the potential of these basalts, suggesting that Iceland may be capable of providing basalt that can be used in this manufacturing process. The second paper in this volume outlines a potential addition to the mine planning toolbox by examining an unmanned aerial vehicle (UAV; sometimes known as drones) approach to lithological classification within an open pit phosphate mine in Brazil (Beretta et al. 2019). The authors assessed the viability of surface feature detection using visible light-based data and machine learning-based algorithms to generate a complete geological model for the mine. This model was then compared to a geological model obtained using traditional methods. The comparison indicated the usefulness of the UAV-based approach, which is not just quicker and potentially cheaper but is also safer than manual face mapping as operators do not need to be within the mine to acquire data. This is still an area that requires further research but this study outlines the potential use of this approach in moving towards more automated geological mapping systems. Parnell et al. (2019) change the focus of the issue towards more traditional economic geology-type research and present the results of the analysis of gases trapped within sulphide minerals in a number of areas of Palaeozoic gold mineralisation in Britain and Ireland. These data indicate that mineralisation hosted by Carboniferous cover units contains less non-aqueous gas than mineralisation hosted by greenschist units. In addition, combining the gas data presented in the study with the results of fluid inclusion microthermometry suggests that organic species may have a role in the genesis of orogenic gold mineralisation in addition to suggesting a potential role for trapped gas analysis in mineral exploration. The next paper in the issue provides an overview of the use of a mineral norm calculation in resource estimation, focusing on theMississippi Valley-type (MVT) sulphide and non-sulphide Zn–Pb mineralisation of the Florida Canyon deposit, Peru (de Oliveira et al. 2019). The approach taken by de Oliveira and Saldanha (2019) uses the concentrations of Zn, Pb, and S to calculate the abundance of sphalerite, galena, and nonsulphide minerals within a block model, allowing the detailed examination of the geometry and spatial relationships between the sulphide and non-sulphide mineralisation within the deposit. Understanding these relationships is key, not just for furthering our knowledge of the mineralising system that formed this deposit but also for mine planning and mineral processing, given that sulphide and non-sulphide ore types require different types of processing. The simple algorithm outlined by the authors is easy and quick to use and provides an approach that can be used during mineral resource assessments involving mixed ore types; the application here is for MVT-type mineralisation but this style of approach may also have uses in other mineralising systems that contain different ore types (e.g. oxide and sulphide ores). The penultimate paper in the issue outlines the geology of a Cu–Au skarn deposit within the Tien Shan belt of central Asia. Here, Abzalov et al. (2019) present new geochemical data for the deposit and suggest that the granitoids related to the Bozymchak Cu–Au skarn deposit are geochemically similar to high-K calc-alkalime magmatism associated with the Almalyk Cu–Au porphyry deposit some 130 km distant from the study area. The granitoids within this area are also geochemically zoned, suggesting that this zonation could be used as a vector during exploration for this type of skarn mineralisation. Last, but by no means least, in this issue is a paper by Gaboury (2019) who provides an overview of the key parameters within orogenic gold systems. These deposits provide a significant proportion of global primary gold production and formed between the Archean and Phanerozoic at crustal depths typically >4 km. Gaboury
社论
欢迎来到《应用地球科学》128卷的第三期。本期杂志展示了《应用地球科学》杂志上发表的一些研究的广度,并从Johannesson等人(2019年)的一篇论文开始,他们专注于玄武岩的一种非典型用途,玄武岩是地球表面最常见的岩石。玄武岩作为建筑石材和骨料的使用是众所周知的,但它也可以铸造用于工业应用,利用石材的自然特性。然而,Johannesson等人(2019)研究了冰岛玄武岩的另一种潜在用途,即可用于生产连续玄武岩纤维的材料,这种物质比玻璃纤维具有更好的物理力学性能,但(如果原料合适)生产成本比碳纤维低。他们的研究表明,尽管在他们的研究中,没有一个冰岛玄武岩样本是理想的,适合用作玄武岩纤维原料,但在一些样本中添加少量的CaO显著提高了这些玄武岩的潜力,这表明冰岛可能有能力提供可以用于这种制造过程的玄武岩。本卷中的第二篇论文概述了通过检查无人驾驶飞行器(UAV;有时被称为无人机)在巴西的一个露天磷矿中进行岩性分类的方法(Beretta et al. 2019)。作者使用基于可见光的数据和基于机器学习的算法评估了地表特征检测的可行性,从而为矿山生成完整的地质模型。然后将该模型与使用传统方法获得的地质模型进行了比较。对比表明了基于无人机的方法的实用性,它不仅更快,可能更便宜,而且比手动人脸映射更安全,因为操作人员不需要在矿井内获取数据。这仍然是一个需要进一步研究的领域,但这项研究概述了这种方法在迈向更自动化的地质测绘系统方面的潜在用途。Parnell等人(2019)将问题的焦点转向更传统的经济地质类型研究,并介绍了英国和爱尔兰一些古生代金矿化地区硫化物矿物中捕获气体的分析结果。这些数据表明,石炭系盖层单元承载的矿化比绿片岩单元承载的矿化含有更少的非水气体。此外,结合流体包裹体显微测温结果表明,有机物种可能在造山带金矿化的成因中起作用,并提示了圈闭气体分析在矿产勘探中的潜在作用。本期的下一篇论文概述了在资源估算中使用矿物规范计算的情况,重点介绍了秘鲁佛罗里达峡谷矿床的密西西比河谷型(MVT)硫化物和非硫化物Zn-Pb矿化(de Oliveira et al. 2019)。de Oliveira和Saldanha(2019)采用的方法使用Zn、Pb和S的浓度来计算块模型中闪锌矿、方铅矿和非硫化物矿物的丰度,从而可以详细检查矿床中硫化物和非硫化物矿化之间的几何和空间关系。考虑到硫化物和非硫化物矿石类型需要不同的加工类型,理解这些关系是关键,不仅是为了进一步了解形成该矿床的成矿系统,也是为了矿山规划和矿物加工。作者概述的简单算法易于使用,并提供了一种在涉及混合矿石类型的矿物资源评价中可使用的方法;这里的应用是mvt型矿化,但这种方法也可以用于其他矿化系统,包含不同的矿石类型(如氧化物和硫化物矿石)。这期的倒数第二篇论文概述了中亚天山带的一个铜金夕卡岩矿床的地质情况。在此,Abzalov等(2019)提出了新的矿床地球化学数据,并认为与Bozymchak铜金矽卡岩矿床相关的花岗岩类在地球化学上与距离研究区约130 km的Almalyk铜金斑岩矿床相关的高钾钙碱岩浆作用相似。该区花岗岩类也具有地球化学分带性,表明该分带可作为该类矽卡岩矿化勘探的矢量。最后,但并非最不重要的是,本期是Gaboury(2019)的一篇论文,他概述了造山带金系统中的关键参数。这些矿床占全球原生金产量的很大比例,形成于太古宙和显生宙之间,地壳深度通常为40 ~ 40 km。Gaboury
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来源期刊
CiteScore
1.70
自引率
10.00%
发文量
17
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