Identification of REE mineralization-related geochemical anomalies using fractal/multifractal methods in the Nanling belt, South China

Application of Finite Difference Method in Multifractal Techniques to Identify Pb–Zn Anomalies: a Case Study from Khomein, Iran

“…4 a Gridding of the basin in a FDM problem. b The graphical calculation of the FDM was found high, medium, and low anomaly zones for rare earth elements [24]. The third population indicates high concentration and also called high intensive anomalous regions.…”

“…The singularity method was used in the Nanling belt of China and produced good results. The singularity method showed well rich and depleted areas for rare earth elements [24]. Environments with positive singularities correspond to environments where elements have increased as a result of mineralization or other local geochemical processes, whereas environments with normal singularity values are associated with areas of geochemical background [11].…”

“…First and second populations in loglog plot of Zn show low and medium anomalies. Such a classification was provided for rare earth elements in the Nanling belt of China [24]. Based on C-A method, it Fig.…”

Multi-Fractal Model of Coal Resources Distribution and Its Application in Spatial Distribution Law of Coal thickness

“…The intrinsic of coal accumulation is some like other depositional minerals, influences by the ancient topography, sand supply, climate and crust unbalanced subsidence, directly controlled by eustacy, river channel change and local marsh evolvement [7][8], the shape and thickness of coal accumulation is processes of multiplicative cascade, which is applied to explain many physical process leading to continual multi fracture [6]. The superposed accumulation of coal could be described by this model, firstly, suppose that there is a limited room called accumulation unit, and suppose that there are a series of depositional events occupied in this room further, the sediments distribution of different accumulation stage are similar in thickness and shape at space, the continuous accumulation may result in the enrichment or thin in the same area, if the accumulated thickness of coal reaches the economical limit then called commercial seam [9].…”

Multivariate analysis for geochemical process identification using stream sediment geochemical data: A perspective from compositional data

“…Identification of underlying geochemical processes based on different types of samples such as stream sediments, soils, and water is important for a range of applications including mineral exploration, land use planning, and environmental assessment of both natural and anthropogenic factors (Borovec, 1996;Evans et al, 1996;Sajn et al, 2011;Thoms et al, 2007;Zumlot et al, 2009;Carranza, 2010aCarranza, , 2011aŽibret and Sajn, 2010;Xie et al, 2010;Cheng, 2007;Wang et al, 2014;Liu et al, 2013Liu et al, , 2014aLiu et al, , 2014b. The dynamic surface of the earth was formed by processes that interacted and contributed in variable proportions to create its landforms and landscapes.…”